Bangladéš
Lower-middle income
- Přehled
- Prevalence obezity
- Trendy v průběhu času
- Rozdělení populace
- Faktory
- Komorbidity
- Ekonomický dopad
- Zásady (k dispozici pouze v angličtině)
- Contextual factors
Načítání dat – čekejte prosím
Riziko národní 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 dětské obezity *3/11This is a ‘risk score’ for each country’s 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).
Prevalence obezity
Trendy v průběhu času
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Faktory
Nedostatečná aktivita
Spotřeba nealkoholických nápojů
Spotřeba ovoce
Spotřeba zeleniny
Konzumace rychlého občerstvení
Spotřeba zpracovaného masa
Spotřeba obilných potravin
Deprese
Úzkost
Příčiny obezity »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Kojení
Stáhnout zprávu
Komorbidity
Rakovina jícnu
Rakovina prsu
Rakovina tlustého střeva a konečníku
Rakovina slinivky břišní
Rakovina žlučníku
Rakovina ledvin
Rakovina dělohy
Zvýšený krevní tlak
Zvýšený cholesterol
Zvýšená hladina glukózy v krvi nalačno
Prevalence diabetu
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Stáhnout zprávu
Ekonomický dopad
Zásady (k dispozici pouze v angličtině)
Contextual factors
Prevalence obezity
Dospělí, 2018
Typ průzkumu: | Naměřené |
Věk: | 18-69 |
Velikost vzorku: | 7985 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2017-2018
Typ průzkumu: | Naměřené |
Velikost vzorku: | 23861 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Poznámky: | 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. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2014
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 16478 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2011
Typ průzkumu: | Naměřené |
Velikost vzorku: | 17416 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2007
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 10021 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Other married women 15 - 49 years. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 1995-1996
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 3997 |
Reference: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Poznámky: | 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 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2019-2020
Typ průzkumu: | Naměřené |
Věk: | 15-19 |
Velikost vzorku: | 9128 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | 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 |
Děti, 2018-2019
Typ průzkumu: | Naměřené |
Věk: | 10-19 |
Velikost vzorku: | 9772 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 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 |
Děti, 2014
Typ průzkumu: | Samonahlášený |
Věk: | 13-17 |
Velikost vzorku: | 2989 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Děti, 2009
Typ průzkumu: | Naměřené |
Věk: | 6-15 |
Velikost vzorku: | 10135 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Z score BMI cut-offs used |
Cutoffs: | WHO |
Infants, 2019
Věk: | 0-5 |
Velikost vzorku: | 22011 |
Reference: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2018-2019
Věk: | 0-5 |
Reference: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2017-2018
Věk: | 0-5 |
Velikost vzorku: | 8113 |
Reference: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2015
Věk: | 0-5 |
Reference: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2014
Věk: | 0-5 |
Velikost vzorku: | 7369 |
Reference: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2013
Věk: | 0-5 |
Velikost vzorku: | 4029 |
Reference: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2012-2013
Věk: | 0-5 |
Velikost vzorku: | 19640 |
Reference: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2011
Věk: | 0-5 |
Velikost vzorku: | 7944 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2011-2012
Věk: | 0-5 |
Reference: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2007
Věk: | 0-5 |
Velikost vzorku: | 5344 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2006
Věk: | 0-5 |
Velikost vzorku: | 24302 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2005
Věk: | 0-5 |
Velikost vzorku: | 74758 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2004
Věk: | 0-5 |
Velikost vzorku: | 6083 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2003
Věk: | 0-5 |
Velikost vzorku: | 86999 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2002
Věk: | 0-5 |
Velikost vzorku: | 53315 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2001
Věk: | 0-5 |
Velikost vzorku: | 63444 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1999
Věk: | 0-5 |
Velikost vzorku: | 49374 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1999-1900
Věk: | 0-5 |
Velikost vzorku: | 5490 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1998
Věk: | 0-5 |
Velikost vzorku: | 49496 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1996
Věk: | 0-5 |
Velikost vzorku: | 81067 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1996-1997
Věk: | 0-5 |
Velikost vzorku: | 4880 |
Reference: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1995
Věk: | 0-5 |
Velikost vzorku: | 87051 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1994
Věk: | 0-5 |
Velikost vzorku: | 63753 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1993
Věk: | 0-5 |
Velikost vzorku: | 42826 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1992
Věk: | 0-5 |
Velikost vzorku: | 36997 |
Reference: | 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. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1991
Věk: | 0-5 |
Velikost vzorku: | 32493 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1989-1990
Věk: | 0-5 |
Velikost vzorku: | 1914 |
Reference: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1985-1986
Věk: | 0-5 |
Velikost vzorku: | 2675 |
Reference: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Typ průzkumu: | Naměřené |
Reference: | 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. 2011: 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. 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Typ průzkumu: | Naměřené |
Reference: | 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. 2011: 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. 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, vybrané země
Muži
Reference: | 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: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 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, 2013: 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: 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. 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: 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. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: 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/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 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 Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Ženy
Reference: | 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: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 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, 2013: 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: 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. 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: 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. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: 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/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 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 Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Nadváha/obezita podle vzdělání
Dospělí, 2018
Typ průzkumu: | Naměřené |
Věk: | 18-69 |
Velikost vzorku: | 7985 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2017-2018
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 18328 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2017-2018
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 5533 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2014
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 16478 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dívky, 2014
Typ průzkumu: | Naměřené |
Věk: | 15-19 |
Velikost vzorku: | 1188 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Definice (k dispozici pouze v angličtině): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
Velikost vzorku: | 22011 |
Reference: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2017-2018
Velikost vzorku: | 8113 |
Reference: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2014
Velikost vzorku: | 7369 |
Reference: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2012-2013
Velikost vzorku: | 19640 |
Reference: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2011
Velikost vzorku: | 7944 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2007
Velikost vzorku: | 5344 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2004
Velikost vzorku: | 6083 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1999-1900
Velikost vzorku: | 5490 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1996-1997
Velikost vzorku: | 4880 |
Reference: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Nadváha/obezita podle věku
Dospělí, 2018
Typ průzkumu: | Naměřené |
Velikost vzorku: | 7985 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2017-2018
Typ průzkumu: | Naměřené |
Velikost vzorku: | 18328 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2017-2018
Typ průzkumu: | Naměřené |
Velikost vzorku: | 5533 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2014
Typ průzkumu: | Naměřené |
Velikost vzorku: | 16478 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2019-2020
Typ průzkumu: | Naměřené |
Velikost vzorku: | 9128 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | 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 |
Děti, 2018-2019
Typ průzkumu: | Naměřené |
Velikost vzorku: | 9772 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Nadváha/obezita podle regionu
Dospělí, 2018
Typ průzkumu: | Naměřené |
Věk: | 18-69 |
Velikost vzorku: | 7985 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2017-2018
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 18328 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2017-2018
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 5533 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2014
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 16478 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2014
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 16478 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2019-2020
Typ průzkumu: | Naměřené |
Věk: | 15-19 |
Velikost vzorku: | 9128 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | 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 průzkumu: | Naměřené |
Věk: | 10-19 |
Velikost vzorku: | 9772 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Dívky, 2018-2019
Typ průzkumu: | Naměřené |
Věk: | 10-19 |
Velikost vzorku: | 9772 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Chlapci, 2009
Typ průzkumu: | Naměřené |
Věk: | 6-15 |
Velikost vzorku: | 10135 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Z score cut-offs used |
Cutoffs: | Other |
Dívky, 2009
Typ průzkumu: | Naměřené |
Věk: | 6-15 |
Velikost vzorku: | 10135 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Z score cut-offs used |
Cutoffs: | Other |
Infants, 2019
Velikost vzorku: | 22011 |
Reference: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2017-2018
Velikost vzorku: | 8113 |
Reference: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2014
Velikost vzorku: | 7369 |
Reference: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2013
Velikost vzorku: | 4029 |
Reference: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2012-2013
Velikost vzorku: | 19640 |
Reference: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2011
Velikost vzorku: | 7944 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2007
Velikost vzorku: | 5344 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2004
Velikost vzorku: | 6083 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1999-1900
Velikost vzorku: | 5490 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1996-1997
Velikost vzorku: | 4880 |
Reference: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Nadváha/obezita podle sociálně-ekonomické skupiny
Dospělí, 2018
Typ průzkumu: | Naměřené |
Věk: | 18-69 |
Velikost vzorku: | 7985 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2017-2018
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 18328 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2017-2018
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 5533 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2014
Typ průzkumu: | Naměřené |
Věk: | 15-49 |
Velikost vzorku: | 16478 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2019-2020
Typ průzkumu: | Naměřené |
Věk: | 15-19 |
Velikost vzorku: | 9128 |
Pokrytá oblast: | Národní |
Reference: | 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 |
Poznámky: | 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 průzkumu: | Naměřené |
Věk: | 10-19 |
Velikost vzorku: | 9772 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Dívky, 2018-2019
Typ průzkumu: | Naměřené |
Věk: | 10-19 |
Velikost vzorku: | 9772 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Infants, 2019
Velikost vzorku: | 22011 |
Reference: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2017-2018
Velikost vzorku: | 8113 |
Reference: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2014
Velikost vzorku: | 7369 |
Reference: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2013
Velikost vzorku: | 4029 |
Reference: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2012-2013
Velikost vzorku: | 19640 |
Reference: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2011
Velikost vzorku: | 7944 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2007
Velikost vzorku: | 5344 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2004
Velikost vzorku: | 6083 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1999-1900
Velikost vzorku: | 5490 |
Reference: | 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 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1996-1997
Velikost vzorku: | 4880 |
Reference: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Nedostatečná fyzická aktivita
Dospělí, 2022
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | 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)-(-) |
Definice (k dispozici pouze v angličtině): | 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. |
Muži, 2022
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | 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)-(-) |
Definice (k dispozici pouze v angličtině): | 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. |
Ženy, 2022
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | 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)-(-) |
Definice (k dispozici pouze v angličtině): | 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. |
Dospělí, 2016
Reference: | 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 |
Muži, 2016
Reference: | 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 |
Ženy, 2016
Reference: | 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 |
Děti, 2016
Typ průzkumu: | Samonahlášený |
Věk: | 11-17 |
Reference: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Poznámky: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Chlapci, 2016
Typ průzkumu: | Samonahlášený |
Věk: | 11-17 |
Reference: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Poznámky: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Dívky, 2016
Typ průzkumu: | Samonahlášený |
Věk: | 11-17 |
Reference: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Poznámky: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Průměrná denní frekvence konzumace sycených nealkoholických nápojů
Děti, 2014-2015
Typ průzkumu: | Naměřené |
Věk: | 12-17 |
Reference: | 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
Dospělí, 2017
Typ průzkumu: | Naměřené |
Věk: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angličtině): | Estimated per-capita fruit intake (g/day) |
Prevalence spotřeby méně než jednoho ovoce denně
Děti, 2008-2015
Typ průzkumu: | Naměřené |
Věk: | 12-17 |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalence spotřeby méně než jedné zeleniny denně
Děti, 2008-2015
Typ průzkumu: | Naměřené |
Věk: | 12-17 |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Průměrná týdenní frekvence konzumace rychlého občerstvení
Děti, 2014-2015
Věk: | 12-17 |
Reference: | 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 |
Odhadovaný příjem zpracovaného masa na osobu
Dospělí, 2017
Typ průzkumu: | Naměřené |
Věk: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angličtině): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Dospělí, 2017
Typ průzkumu: | Naměřené |
Věk: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angličtině): | Estimated per-capita whole grains intake (g/day) |
Duševní zdraví – stavy deprese
Dospělí, 2015
Reference: | 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. |
Definice (k dispozici pouze v angličtině): | % of population with depression disorders |
Duševní zdraví – stavy úzkosti
Dospělí, 2015
Reference: | 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. |
Definice (k dispozici pouze v angličtině): | % of population with anxiety disorders |
% výhradně kojených dětí 0–5 měsíců
Infants, 2015-2022
Reference: | Bangladesh Demographic Health Survey 2022 |
Poznámky: | 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. |
Rakovina jícnu
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Muži, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina prsu
Ženy, 2022
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Rakovina tlustého střeva a konečníku
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Muži, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina slinivky břišní
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Muži, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina žlučníku
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Muži, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina ledvin
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Muži, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina dělohy
Ženy, 2022
Věk: | 20+ |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2020-2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Zvýšený krevní tlak
Dospělí, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Muži, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Ženy, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Zvýšený cholesterol
Dospělí, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angličtině): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Muži, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angličtině): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Ženy, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angličtině): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Zvýšená hladina glukózy v krvi nalačno
Muži, 2014
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Ženy, 2014
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalence diabetu
Dospělí, 2021
Věk: | 20-79 |
Pokrytá oblast: | Národní |
Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definice (k dispozici pouze v angličtině): | Age-adjusted comparative prevalence of diabetes, % |
Dospělí, 2019
Věk: | 20-79 |
Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definice (k dispozici pouze v angličtině): | Diabetes age-adjusted comparative prevalence (%). |
Dospělí, 2017
Reference: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definice (k dispozici pouze v angličtině): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Ženy, 2022
Věk: | 20+ |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Leukemia
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Multiple Myeloma
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Non Hodgkin Lymphoma
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Thyroid Cancer
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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] |
Definice (k dispozici pouze v angličtině): | 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 |
Guidelines/policy on obesity treatment? | 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