Bangladéš
Lower-middle income
- Preh?ad
- Prevalencia obezity
- Trendy v priebehu ?asu
- ?lenenie obyvate?stva
- Vodi?i
- Komorbidity
- Ekonomick dsledky
- Zsady (k dispozcii iba v angli?tine)
- Contextual factors
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Nrodn riziko obezity *7/10This is a composite obesity risk score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Riziko detskej obezity *3/11This is a risk score for each countrys likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Report cards
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?lenenie obyvate?stva
Vodi?i
Nedostato?n aktivita
Spotreba nealkoholickch npojov
Spotreba ovocia
Spotreba zeleniny
Spotreba rchleho ob?erstvenia
Spotreba spracovanho msa
Spotreba z?n
Depresia
zkos?
Korene obezity »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Doj?enie
Unaffordable diet
Stiahnu? kartu hlsenia
Komorbidity
Rakovina paerka
Rakovina prsnka
Rakovina hrubého ?reva a kone?níka
Rakovina pankreasu
Rakovina l?nka
Rakovina obli?iek
Rakovina maternice
Zven krvn tlak
Zven cholesterol
Zven glukza v krvi nala?no
Prevalencia cukrovky
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Stiahnu? kartu hlsenia
Ekonomick dsledky
Zsady (k dispozcii iba v angli?tine)
Contextual factors
Prevalencia obezity
Dospel, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 13970 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Poznmky (k dispozcii iba v angli?tine): | 8279 Women, 5691 Men |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Dospel, 2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 18-69 |
| Ve?kos? vzorky: | 7985 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.2020) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Dospel, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 23861 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
| Poznmky (k dispozcii iba v angli?tine): | 18328 (ever-married) women, 5533 Men. Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2014
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 16478 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Dospel, 2011
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 17416 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2007
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 10021 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. |
| Poznmky (k dispozcii iba v angli?tine): | Other married women 15 - 49 years. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 1995-1996
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 3997 |
| Odkazy: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Poznmky (k dispozcii iba v angli?tine): | The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Diev?at, 2022
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-19 |
| Ve?kos? vzorky: | 705 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Defincie (k dispozcii iba v angli?tine): | >1 <2 SD (overweight) +2 SD (obesity) |
| Cutoffs: | WHO 2007 |
Deti, 2019-2020
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-19 |
| Ve?kos? vzorky: | 9128 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Poznmky (k dispozcii iba v angli?tine): | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Deti, 2018-2019
| Typ prieskumu: | Nameran hodnota |
| Vek: | 10-19 |
| Ve?kos? vzorky: | 9772 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Poznmky (k dispozcii iba v angli?tine): | 4,907 boys and 4,865 girls NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 21.10.20)' |
| Cutoffs: | WHO |
Deti, 2014
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 13-17 |
| Ve?kos? vzorky: | 2989 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/2014-Bangladesh-fact-sheet.pdf?ua=1 (last accessed 24.11.20) |
| Cutoffs: | WHO |
Deti, 2009
| Typ prieskumu: | Nameran hodnota |
| Vek: | 6-15 |
| Ve?kos? vzorky: | 10135 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Poznmky (k dispozcii iba v angli?tine): | Z score BMI cut-offs used |
| Cutoffs: | WHO |
0-5 years, 2022
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Ve?kos? vzorky: | 4254 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Bangladesh Demographic Health Survey 2022 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincie (k dispozcii iba v angli?tine): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Vek: | 0-5 |
| Ve?kos? vzorky: | 22011 |
| Odkazy: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2018-2019
| Vek: | 0-5 |
| Odkazy: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2017-2018
| Vek: | 0-5 |
| Ve?kos? vzorky: | 8113 |
| Odkazy: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2015
| Vek: | 0-5 |
| Odkazy: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2014
| Vek: | 0-5 |
| Ve?kos? vzorky: | 7369 |
| Odkazy: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2014
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | State of food security and nutrition in Bangladesh: 2014 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincie (k dispozcii iba v angli?tine): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2013
| Vek: | 0-5 |
| Ve?kos? vzorky: | 4029 |
| Odkazy: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2012-2013
| Vek: | 0-5 |
| Ve?kos? vzorky: | 19640 |
| Odkazy: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2011
| Vek: | 0-5 |
| Ve?kos? vzorky: | 7944 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2011-2012
| Vek: | 0-5 |
| Odkazy: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2007
| Vek: | 0-5 |
| Ve?kos? vzorky: | 5344 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2006
| Vek: | 0-5 |
| Ve?kos? vzorky: | 24302 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 2006: data on rural national data (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2005
| Vek: | 0-5 |
| Ve?kos? vzorky: | 74758 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 2005: Rural data (using the WHO Child Growth Standards). Unpublished estimates. Dhakar, Bangladesh: HKI and Institute of Public Health Nutrition, 2007. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2004
| Vek: | 0-5 |
| Ve?kos? vzorky: | 6083 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2003
| Vek: | 0-5 |
| Ve?kos? vzorky: | 86999 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 2003: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2002
| Vek: | 0-5 |
| Ve?kos? vzorky: | 53315 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 2002: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2001
| Vek: | 0-5 |
| Ve?kos? vzorky: | 63444 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 2001: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1999
| Vek: | 0-5 |
| Ve?kos? vzorky: | 49374 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 1999: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1999-1900
| Vek: | 0-5 |
| Ve?kos? vzorky: | 5490 |
| Odkazy: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1998
| Vek: | 0-5 |
| Ve?kos? vzorky: | 49496 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 1998: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1996
| Vek: | 0-5 |
| Ve?kos? vzorky: | 81067 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 1996: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1996-1997
| Vek: | 0-5 |
| Ve?kos? vzorky: | 4880 |
| Odkazy: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1995
| Vek: | 0-5 |
| Ve?kos? vzorky: | 87051 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 1995: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1994
| Vek: | 0-5 |
| Ve?kos? vzorky: | 63753 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 1994: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1993
| Vek: | 0-5 |
| Ve?kos? vzorky: | 42826 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 1993: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1992
| Vek: | 0-5 |
| Ve?kos? vzorky: | 36997 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 1992: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1991
| Vek: | 0-5 |
| Ve?kos? vzorky: | 32493 |
| Odkazy: | Surveillance: Nutritional Surveillance Project 1991: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1989-1990
| Vek: | 0-5 |
| Ve?kos? vzorky: | 1914 |
| Odkazy: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1985-1986
| Vek: | 0-5 |
| Ve?kos? vzorky: | 2675 |
| Odkazy: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2022
eny
| Typ prieskumu: | Nameran hodnota |
| Odkazy: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Poznmky (k dispozcii iba v angli?tine): | Aged 15-49 except in 2022 (aged 20-49) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
| Na zber tchto dajov sa mohli poui? rzne metodiky, a preto daje z rznych prieskumov nemusia by? striktne porovnate?n. Pouit metodiky si mete pozrie? v pvodnch zdrojoch dajov | |
% Adults living with overweight or obesity in Bangladesh 1995-2022
eny
| Typ prieskumu: | Nameran hodnota |
| Odkazy: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Poznmky (k dispozcii iba v angli?tine): | Aged 15-49 except in 2022 (aged 20-49) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
| Na zber tchto dajov sa mohli poui? rzne metodiky, a preto daje z rznych prieskumov nemusia by? striktne porovnate?n. Pouit metodiky si mete pozrie? v pvodnch zdrojoch dajov | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, vybran krajiny
Mui
| Odkazy: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| Na zber tchto dajov sa mohli poui? rzne metodiky, a preto daje z rznych prieskumov nemusia by? striktne porovnate?n. Pouit metodiky si mete pozrie? v pvodnch zdrojoch dajov | |
eny
| Odkazy: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| Na zber tchto dajov sa mohli poui? rzne metodiky, a preto daje z rznych prieskumov nemusia by? striktne porovnate?n. Pouit metodiky si mete pozrie? v pvodnch zdrojoch dajov | |
Nadvha/obezita pod?a vzdelania
Mui, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 13970 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 13970 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Dospel, 2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 18-69 |
| Ve?kos? vzorky: | 7985 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 18328 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Mui, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 18+ |
| Ve?kos? vzorky: | 5533 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2014
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 16478 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Diev?at, 2014
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-19 |
| Ve?kos? vzorky: | 1188 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Defincie (k dispozcii iba v angli?tine): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 4313 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +2 SD |
0-5 years, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 4077 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Bangladesh Demographic Health Survey 2022 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincie (k dispozcii iba v angli?tine): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Ve?kos? vzorky: | 22011 |
| Odkazy: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2017-2018
| Ve?kos? vzorky: | 8113 |
| Odkazy: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2014
| Ve?kos? vzorky: | 7369 |
| Odkazy: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2012-2013
| Ve?kos? vzorky: | 19640 |
| Odkazy: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2011
| Ve?kos? vzorky: | 7944 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2007
| Ve?kos? vzorky: | 5344 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2004
| Ve?kos? vzorky: | 6083 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1999-2000
| Ve?kos? vzorky: | 5490 |
| Odkazy: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1996-1997
| Ve?kos? vzorky: | 4880 |
| Odkazy: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
Nadvha/obezita pod?a veku
Dospel, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 13970 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Dospel, 2018
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 7985 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.200) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 18328 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF. |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Mui, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 5533 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF. |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2014
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 16478 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Deti, 2019-2020
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 9128 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Poznmky (k dispozcii iba v angli?tine): | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Deti, 2018-2019
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 9772 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Poznmky (k dispozcii iba v angli?tine): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Nadvha/obezita pod?a reginu
Mui, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 13970 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 13970 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Dospel, 2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 18-69 |
| Ve?kos? vzorky: | 7985 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 18328 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF. |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Mui, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 18+ |
| Ve?kos? vzorky: | 5533 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF. |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2014
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 16478 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2014
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 16478 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Diev?at, 2022
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-19 |
| Ve?kos? vzorky: | 705 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +1SD to 2SD />2SD |
Deti, 2019-2020
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-19 |
| Ve?kos? vzorky: | 9128 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Poznmky (k dispozcii iba v angli?tine): | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Chlapci, 2018-2019
| Typ prieskumu: | Nameran hodnota |
| Vek: | 10-19 |
| Ve?kos? vzorky: | 9772 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Poznmky (k dispozcii iba v angli?tine): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Diev?at, 2018-2019
| Typ prieskumu: | Nameran hodnota |
| Vek: | 10-19 |
| Ve?kos? vzorky: | 9772 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Poznmky (k dispozcii iba v angli?tine): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Chlapci, 2009
| Typ prieskumu: | Nameran hodnota |
| Vek: | 6-15 |
| Ve?kos? vzorky: | 10135 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Poznmky (k dispozcii iba v angli?tine): | Z score cut-offs used |
| Cutoffs: | Other |
Diev?at, 2009
| Typ prieskumu: | Nameran hodnota |
| Vek: | 6-15 |
| Ve?kos? vzorky: | 10135 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Poznmky (k dispozcii iba v angli?tine): | Z score cut-offs used |
| Cutoffs: | Other |
0-5 years, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 4254 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Bangladesh Demographic Health Survey 2022 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincie (k dispozcii iba v angli?tine): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Ve?kos? vzorky: | 22011 |
| Odkazy: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2017-2018
| Ve?kos? vzorky: | 8113 |
| Odkazy: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2014
| Ve?kos? vzorky: | 7369 |
| Odkazy: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2013
| Ve?kos? vzorky: | 4029 |
| Odkazy: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2012-2013
| Ve?kos? vzorky: | 19640 |
| Odkazy: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2011
| Ve?kos? vzorky: | 7944 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2007
| Ve?kos? vzorky: | 5344 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2004
| Ve?kos? vzorky: | 6083 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1999-1900
| Ve?kos? vzorky: | 5490 |
| Odkazy: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1996-1997
| Ve?kos? vzorky: | 4880 |
| Odkazy: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
Nadvha/obezita pod?a socilno-ekonomickej skupiny
Mui, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 13970 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 13970 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Dospel, 2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 18-69 |
| Ve?kos? vzorky: | 7985 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 18328 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Mui, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 18+ |
| Ve?kos? vzorky: | 5533 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2014
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-49 |
| Ve?kos? vzorky: | 16478 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm |
| Poznmky (k dispozcii iba v angli?tine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Deti, 2019-2020
| Typ prieskumu: | Nameran hodnota |
| Vek: | 15-19 |
| Ve?kos? vzorky: | 9128 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Poznmky (k dispozcii iba v angli?tine): | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Chlapci, 2018-2019
| Typ prieskumu: | Nameran hodnota |
| Vek: | 10-19 |
| Ve?kos? vzorky: | 9772 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Poznmky (k dispozcii iba v angli?tine): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Diev?at, 2018-2019
| Typ prieskumu: | Nameran hodnota |
| Vek: | 10-19 |
| Ve?kos? vzorky: | 9772 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Poznmky (k dispozcii iba v angli?tine): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
0-5 years, 2022
| Typ prieskumu: | Nameran hodnota |
| Ve?kos? vzorky: | 4254 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Bangladesh Demographic Health Survey 2022 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincie (k dispozcii iba v angli?tine): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Ve?kos? vzorky: | 22011 |
| Odkazy: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2017-2018
| Ve?kos? vzorky: | 8113 |
| Odkazy: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2014
| Ve?kos? vzorky: | 7369 |
| Odkazy: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2013
| Ve?kos? vzorky: | 4029 |
| Odkazy: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2012-2013
| Ve?kos? vzorky: | 19640 |
| Odkazy: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2011
| Ve?kos? vzorky: | 7944 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2007
| Ve?kos? vzorky: | 5344 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 2004
| Ve?kos? vzorky: | 6083 |
| Odkazy: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1999-1900
| Ve?kos? vzorky: | 5490 |
| Odkazy: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
0-5 years, 1996-1997
| Ve?kos? vzorky: | 4880 |
| Odkazy: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Poznmky (k dispozcii iba v angli?tine): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defincie (k dispozcii iba v angli?tine): | =>+2SD |
Double burden of underweight & overweight
Dospel, 2022
| Typ prieskumu: | Nameran hodnota |
| Vek: | 20+ |
| Odkazy: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Poznmky (k dispozcii iba v angli?tine): | Age Standardised estimates |
| Defincie (k dispozcii iba v angli?tine): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Deti, 2022
| Typ prieskumu: | Nameran hodnota |
| Vek: | 5-19 |
| Odkazy: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Poznmky (k dispozcii iba v angli?tine): | Age standardised estimates |
| Defincie (k dispozcii iba v angli?tine): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh Demographic Health Survey 2022 |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2019
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2017-2018
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2014
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2007
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2004
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1999-2000
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1996-1997
| Typ prieskumu: | Nameran hodnota |
| Vek: | 0-5 |
| Odkazy: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Poznmky (k dispozcii iba v angli?tine): | Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Defincie (k dispozcii iba v angli?tine): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Nedostato?n fyzick aktivita
Dospel, 2022
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 18+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defincie (k dispozcii iba v angli?tine): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Mui, 2022
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 18+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defincie (k dispozcii iba v angli?tine): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
eny, 2022
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 18+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defincie (k dispozcii iba v angli?tine): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Dospel, 2016
| Odkazy: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Mui, 2016
| Odkazy: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
eny, 2016
| Odkazy: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Deti, 2016
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 11-17 |
| Odkazy: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Poznmky (k dispozcii iba v angli?tine): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincie (k dispozcii iba v angli?tine): | % Adolescents insufficiently active (age standardised estimate) |
Chlapci, 2016
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 11-17 |
| Odkazy: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Poznmky (k dispozcii iba v angli?tine): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincie (k dispozcii iba v angli?tine): | % Adolescents insufficiently active (age standardised estimate) |
Diev?at, 2016
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 11-17 |
| Odkazy: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Poznmky (k dispozcii iba v angli?tine): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincie (k dispozcii iba v angli?tine): | % Adolescents insufficiently active (age standardised estimate) |
Priemern denn frekvencia spotreby stench nealkoholickch npojov
Deti, 2014-2015
| Typ prieskumu: | Nameran hodnota |
| Vek: | 12-17 |
| Odkazy: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita fruit intake
Dospel, 2017
| Vek: | 25+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincie (k dispozcii iba v angli?tine): | Estimated per capita fruit intake (g/day) |
Prevalencia konzumácie menej ako jedného kusu ovocia denne
Deti, 2014
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 12-17 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Defincie (k dispozcii iba v angli?tine): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalencia konzumácie menej ako jedného kusu zeleniny denne
Deti, 2014
| Typ prieskumu: | Vlastn hlsenie |
| Vek: | 12-17 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Defincie (k dispozcii iba v angli?tine): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Priemern tdenn frekvencia konzumcie rchleho ob?erstvenia
Deti, 2014-2015
| Vek: | 12-17 |
| Odkazy: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita processed meat intake
Dospel, 2017
| Vek: | 25+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincie (k dispozcii iba v angli?tine): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Dospel, 2017
| Typ prieskumu: | Nameran hodnota |
| Vek: | 25+ |
| Odkazy: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincie (k dispozcii iba v angli?tine): | Estimated per-capita whole grains intake (g/day) |
Duevn zdravie - poruchy depresie
Dospel, 2021
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincie (k dispozcii iba v angli?tine): | Number living with depression per 100,000 population (adults 20+ years) |
Mui, 2021
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincie (k dispozcii iba v angli?tine): | Number living with depression per 100,000 population (adults 20+ years) |
eny, 2021
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincie (k dispozcii iba v angli?tine): | Number living with depression per 100,000 population (adults 20+ years) |
Dospel, 2015
| Odkazy: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Defincie (k dispozcii iba v angli?tine): | % of population with depression disorders |
Deti, 2021
| Dotknut oblas?: | Nrodn |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincie (k dispozcii iba v angli?tine): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Chlapci, 2021
| Dotknut oblas?: | Nrodn |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincie (k dispozcii iba v angli?tine): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Diev?at, 2021
| Dotknut oblas?: | Nrodn |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincie (k dispozcii iba v angli?tine): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Duevn zdravie - zkostn poruchy
Dospel, 2021
| Vek: | 20+ |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defincie (k dispozcii iba v angli?tine): | Number living with anxiety per 100,000 population |
Mui, 2021
| Vek: | 20+ |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defincie (k dispozcii iba v angli?tine): | Number living with anxiety per 100,000 population |
eny, 2021
| Vek: | 20+ |
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defincie (k dispozcii iba v angli?tine): | Number living with anxiety per 100,000 population |
Dospel, 2015
| Odkazy: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Defincie (k dispozcii iba v angli?tine): | % of population with anxiety disorders |
Deti, 2021
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Chlapci, 2021
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Diev?at, 2021
| Odkazy: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% doj?iat vlu?ne doj?ench 0 5 mesiacov
0-5 years, 2015-2022
| Odkazy: | Bangladesh Demographic Health Survey 2022 |
| Poznmky (k dispozcii iba v angli?tine): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Dospel, 2024
| Dotknut oblas?: | Nrodn |
| Odkazy: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Poznmky (k dispozcii iba v angli?tine): | The percent of the population whose food budget is below the cost of a healthy diet. |
Dospel, 2022
| Dotknut oblas?: | Nrodn |
| Odkazy: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Rakovina paerka
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Indicence per 100,000 |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Indicence per 100,000 |
Mui, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
eny, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
Rakovina prsnka
eny, 2022
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
Rakovina hrubého ?reva a kone?níka
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
Mui, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
eny, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
Rakovina pankreasu
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
Mui, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
eny, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
Rakovina l?nka
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Indicence per 100,000 |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Indicence per 100,000 |
Mui, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
eny, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
Rakovina obli?iek
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
Mui, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
eny, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
Rakovina maternice
eny, 2022
| Vek: | 20+ |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
eny, 2020
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Defincie (k dispozcii iba v angli?tine): | Age-standardized indicence rates per 100 000 |
Zven krvn tlak
Dospel, 2015
| Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincie (k dispozcii iba v angli?tine): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mui, 2015
| Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincie (k dispozcii iba v angli?tine): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
eny, 2015
| Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincie (k dispozcii iba v angli?tine): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Zven cholesterol
Dospel, 2008
| Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincie (k dispozcii iba v angli?tine): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mui, 2008
| Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincie (k dispozcii iba v angli?tine): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
eny, 2008
| Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincie (k dispozcii iba v angli?tine): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Zven glukza v krvi nala?no
Mui, 2014
| Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defincie (k dispozcii iba v angli?tine): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
eny, 2014
| Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defincie (k dispozcii iba v angli?tine): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalencia cukrovky
Dospel, 2024
| Odkazy: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Dospel, 2021
| Vek: | 20-79 |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Defincie (k dispozcii iba v angli?tine): | Age-adjusted comparative prevalence of diabetes, % |
Dospel, 2019
| Vek: | 20-79 |
| Odkazy: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Defincie (k dispozcii iba v angli?tine): | Diabetes age-adjusted comparative prevalence (%). |
Dospel, 2017
| Odkazy: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Defincie (k dispozcii iba v angli?tine): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
eny, 2022
| Vek: | 20+ |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
Leukemia
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Liver and intrahepatic bile duct Cancer
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
Multiple Myeloma
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Indicence per 100,000 |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Indicence per 100,000 |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Non Hodgkin Lymphoma
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
| Ak nie je uveden inak, za nadvhu sa povauje, ak je BMI index medzi 25 kg a 29,9 kg/m a za obezitu sa povauje, ak je BMI index vy ako 30 kg/m. | |
Thyroid Cancer
Mui, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
eny, 2022
| Vek: | 20+ |
| Dotknut oblas?: | Nrodn |
| Odkazy: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defincie (k dispozcii iba v angli?tine): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Incoming |
| Mandatory limit of trans fats in place (all settings)? | Incoming |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Absent |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Absent |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions
