Banglades
Lower-middle income
- ttekints
- Az elhzs el?fordulsa
- Id?beli trendek
- A npessg bontsa
- Befolysol tnyez?k
- Komorbiditsok
- Gazdasgi hats
- Szablyzatok (csak angol nyelven rhet?k el)
- Contextual factors
Report cards
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A npessg bontsa
Befolysol tnyez?k
Elgtelen aktivits
dt?ital-fogyaszts
Gymlcsfogyaszts
Zldsgfogyaszts
Gyorsttermi lelmiszer-fogyaszts
Feldolgozott hs fogyasztsa
Gabonafogyaszts
Depresszi
Szorongs
Az elhzs gykerei »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Szoptats
Unaffordable diet
Riport letltse
Komorbiditsok
Gazdasgi hats
Szablyzatok (csak angol nyelven rhet?k el)
Contextual factors
Az elhzs el?fordulsa
Feln?ttek, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 13970 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jegyzetek: | 8279 Women, 5691 Men |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2018
| Felmrs tpusa: | Mrt |
| letkor: | 18-69 |
| Minta nagysga: | 7985 |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2017-2018
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 23861 |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Jegyzetek: | 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. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2014
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 16478 |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2011
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 17416 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2007
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 10021 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Other married women 15 - 49 years. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 1995-1996
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 3997 |
| Referencik: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Jegyzetek: | 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 |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Lnyok, 2022
| Felmrs tpusa: | Mrt |
| letkor: | 15-19 |
| Minta nagysga: | 705 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Defincik (csak angol nyelven rhet?k el): | >1 <2 SD (overweight) +2 SD (obesity) |
| Cutoffs: | WHO 2007 |
Gyermekek, 2019-2020
| Felmrs tpusa: | Mrt |
| letkor: | 15-19 |
| Minta nagysga: | 9128 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | 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 |
Gyermekek, 2018-2019
| Felmrs tpusa: | Mrt |
| letkor: | 10-19 |
| Minta nagysga: | 9772 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | 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 |
Gyermekek, 2014
| Felmrs tpusa: | nbevalls |
| letkor: | 13-17 |
| Minta nagysga: | 2989 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
Gyermekek, 2009
| Felmrs tpusa: | Mrt |
| letkor: | 6-15 |
| Minta nagysga: | 10135 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Z score BMI cut-offs used |
| Cutoffs: | WHO |
0-5 years, 2022
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Minta nagysga: | 4254 |
| rintett terlet: | Orszgos |
| Referencik: | Bangladesh Demographic Health Survey 2022 |
| Jegyzetek: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincik (csak angol nyelven rhet?k el): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| letkor: | 0-5 |
| Minta nagysga: | 22011 |
| Referencik: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2018-2019
| letkor: | 0-5 |
| Referencik: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2017-2018
| letkor: | 0-5 |
| Minta nagysga: | 8113 |
| Referencik: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2015
| letkor: | 0-5 |
| Referencik: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2014
| letkor: | 0-5 |
| Minta nagysga: | 7369 |
| Referencik: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2014
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| rintett terlet: | Orszgos |
| Referencik: | State of food security and nutrition in Bangladesh: 2014 |
| Jegyzetek: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincik (csak angol nyelven rhet?k el): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2013
| letkor: | 0-5 |
| Minta nagysga: | 4029 |
| Referencik: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2012-2013
| letkor: | 0-5 |
| Minta nagysga: | 19640 |
| Referencik: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2011
| letkor: | 0-5 |
| Minta nagysga: | 7944 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2011-2012
| letkor: | 0-5 |
| Referencik: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2007
| letkor: | 0-5 |
| Minta nagysga: | 5344 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2006
| letkor: | 0-5 |
| Minta nagysga: | 24302 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2005
| letkor: | 0-5 |
| Minta nagysga: | 74758 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2004
| letkor: | 0-5 |
| Minta nagysga: | 6083 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2003
| letkor: | 0-5 |
| Minta nagysga: | 86999 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2002
| letkor: | 0-5 |
| Minta nagysga: | 53315 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2001
| letkor: | 0-5 |
| Minta nagysga: | 63444 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1999
| letkor: | 0-5 |
| Minta nagysga: | 49374 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1999-1900
| letkor: | 0-5 |
| Minta nagysga: | 5490 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1998
| letkor: | 0-5 |
| Minta nagysga: | 49496 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1996
| letkor: | 0-5 |
| Minta nagysga: | 81067 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1996-1997
| letkor: | 0-5 |
| Minta nagysga: | 4880 |
| Referencik: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1995
| letkor: | 0-5 |
| Minta nagysga: | 87051 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1994
| letkor: | 0-5 |
| Minta nagysga: | 63753 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1993
| letkor: | 0-5 |
| Minta nagysga: | 42826 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1992
| letkor: | 0-5 |
| Minta nagysga: | 36997 |
| Referencik: | 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. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1991
| letkor: | 0-5 |
| Minta nagysga: | 32493 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1989-1990
| letkor: | 0-5 |
| Minta nagysga: | 1914 |
| Referencik: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1985-1986
| letkor: | 0-5 |
| Minta nagysga: | 2675 |
| Referencik: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2022
N?k
| Felmrs tpusa: | Mrt |
| Referencik: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jegyzetek: | Aged 15-49 except in 2022 (aged 20-49) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
| Klnbz? mdszertanokat hasznltak ezen adatok sszegy?jtsre, gy a klnbz? felmrsek adatai nem felttlenl lehetnek szigoran sszehasonlthatk. Krjk, ellen?rizze az eredeti adatforrsokban az alkalmazott mdszereket | |
% Adults living with overweight or obesity in Bangladesh 1995-2022
N?k
| Felmrs tpusa: | Mrt |
| Referencik: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jegyzetek: | Aged 15-49 except in 2022 (aged 20-49) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
| Klnbz? mdszertanokat hasznltak ezen adatok sszegy?jtsre, gy a klnbz? felmrsek adatai nem felttlenl lehetnek szigoran sszehasonlthatk. Krjk, ellen?rizze az eredeti adatforrsokban az alkalmazott mdszereket | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, kivlasztott orszgok
Frfiak
| Referencik: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| Klnbz? mdszertanokat hasznltak ezen adatok sszegy?jtsre, gy a klnbz? felmrsek adatai nem felttlenl lehetnek szigoran sszehasonlthatk. Krjk, ellen?rizze az eredeti adatforrsokban az alkalmazott mdszereket | |
N?k
| Referencik: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| Klnbz? mdszertanokat hasznltak ezen adatok sszegy?jtsre, gy a klnbz? felmrsek adatai nem felttlenl lehetnek szigoran sszehasonlthatk. Krjk, ellen?rizze az eredeti adatforrsokban az alkalmazott mdszereket | |
Tlsly/elhzs iskolai vgzettsg szerint
Frfiak, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 13970 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 13970 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2018
| Felmrs tpusa: | Mrt |
| letkor: | 18-69 |
| Minta nagysga: | 7985 |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2017-2018
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 18328 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Frfiak, 2017-2018
| Felmrs tpusa: | Mrt |
| letkor: | 18+ |
| Minta nagysga: | 5533 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2014
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 16478 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Lnyok, 2014
| Felmrs tpusa: | Mrt |
| letkor: | 15-19 |
| Minta nagysga: | 1188 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Defincik (csak angol nyelven rhet?k el): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 4313 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +2 SD |
0-5 years, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 4077 |
| rintett terlet: | Orszgos |
| Referencik: | Bangladesh Demographic Health Survey 2022 |
| Jegyzetek: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincik (csak angol nyelven rhet?k el): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Minta nagysga: | 22011 |
| Referencik: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2017-2018
| Minta nagysga: | 8113 |
| Referencik: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2014
| Minta nagysga: | 7369 |
| Referencik: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2012-2013
| Minta nagysga: | 19640 |
| Referencik: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2011
| Minta nagysga: | 7944 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2007
| Minta nagysga: | 5344 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2004
| Minta nagysga: | 6083 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1999-2000
| Minta nagysga: | 5490 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1996-1997
| Minta nagysga: | 4880 |
| Referencik: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
Tlsly/elhzs letkor szerint
Feln?ttek, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 13970 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2018
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 7985 |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2017-2018
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 18328 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Frfiak, 2017-2018
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 5533 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2014
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 16478 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Gyermekek, 2019-2020
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 9128 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | 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 |
Gyermekek, 2018-2019
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 9772 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Tlsly/elhzs rgi szerint
Frfiak, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 13970 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 13970 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2018
| Felmrs tpusa: | Mrt |
| letkor: | 18-69 |
| Minta nagysga: | 7985 |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2017-2018
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 18328 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Frfiak, 2017-2018
| Felmrs tpusa: | Mrt |
| letkor: | 18+ |
| Minta nagysga: | 5533 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2014
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 16478 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2014
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 16478 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Lnyok, 2022
| Felmrs tpusa: | Mrt |
| letkor: | 15-19 |
| Minta nagysga: | 705 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +1SD to 2SD />2SD |
Gyermekek, 2019-2020
| Felmrs tpusa: | Mrt |
| letkor: | 15-19 |
| Minta nagysga: | 9128 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | 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 |
Fik, 2018-2019
| Felmrs tpusa: | Mrt |
| letkor: | 10-19 |
| Minta nagysga: | 9772 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Lnyok, 2018-2019
| Felmrs tpusa: | Mrt |
| letkor: | 10-19 |
| Minta nagysga: | 9772 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Fik, 2009
| Felmrs tpusa: | Mrt |
| letkor: | 6-15 |
| Minta nagysga: | 10135 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Z score cut-offs used |
| Cutoffs: | Other |
Lnyok, 2009
| Felmrs tpusa: | Mrt |
| letkor: | 6-15 |
| Minta nagysga: | 10135 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | Z score cut-offs used |
| Cutoffs: | Other |
0-5 years, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 4254 |
| rintett terlet: | Orszgos |
| Referencik: | Bangladesh Demographic Health Survey 2022 |
| Jegyzetek: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincik (csak angol nyelven rhet?k el): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Minta nagysga: | 22011 |
| Referencik: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2017-2018
| Minta nagysga: | 8113 |
| Referencik: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2014
| Minta nagysga: | 7369 |
| Referencik: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2013
| Minta nagysga: | 4029 |
| Referencik: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2012-2013
| Minta nagysga: | 19640 |
| Referencik: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2011
| Minta nagysga: | 7944 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2007
| Minta nagysga: | 5344 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2004
| Minta nagysga: | 6083 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1999-1900
| Minta nagysga: | 5490 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1996-1997
| Minta nagysga: | 4880 |
| Referencik: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
Tlsly/elhzs trsadalmi-gazdasgi csoport szerint
Frfiak, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 13970 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 13970 |
| rintett terlet: | Orszgos |
| Referencik: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2018
| Felmrs tpusa: | Mrt |
| letkor: | 18-69 |
| Minta nagysga: | 7985 |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2017-2018
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 18328 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Frfiak, 2017-2018
| Felmrs tpusa: | Mrt |
| letkor: | 18+ |
| Minta nagysga: | 5533 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2014
| Felmrs tpusa: | Mrt |
| letkor: | 15-49 |
| Minta nagysga: | 16478 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Gyermekek, 2019-2020
| Felmrs tpusa: | Mrt |
| letkor: | 15-19 |
| Minta nagysga: | 9128 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Jegyzetek: | 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 |
Fik, 2018-2019
| Felmrs tpusa: | Mrt |
| letkor: | 10-19 |
| Minta nagysga: | 9772 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Lnyok, 2018-2019
| Felmrs tpusa: | Mrt |
| letkor: | 10-19 |
| Minta nagysga: | 9772 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Jegyzetek: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
0-5 years, 2022
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 4254 |
| rintett terlet: | Orszgos |
| Referencik: | Bangladesh Demographic Health Survey 2022 |
| Jegyzetek: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Defincik (csak angol nyelven rhet?k el): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Minta nagysga: | 22011 |
| Referencik: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2017-2018
| Minta nagysga: | 8113 |
| Referencik: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2014
| Minta nagysga: | 7369 |
| Referencik: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2013
| Minta nagysga: | 4029 |
| Referencik: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2012-2013
| Minta nagysga: | 19640 |
| Referencik: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2011
| Minta nagysga: | 7944 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2007
| Minta nagysga: | 5344 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2004
| Minta nagysga: | 6083 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1999-1900
| Minta nagysga: | 5490 |
| Referencik: | 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 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 1996-1997
| Minta nagysga: | 4880 |
| Referencik: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
Double burden of underweight & overweight
Feln?ttek, 2022
| Felmrs tpusa: | Mrt |
| letkor: | 20+ |
| Referencik: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Jegyzetek: | Age Standardised estimates |
| Defincik (csak angol nyelven rhet?k el): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Gyermekek, 2022
| Felmrs tpusa: | Mrt |
| letkor: | 5-19 |
| Referencik: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Jegyzetek: | Age standardised estimates |
| Defincik (csak angol nyelven rhet?k el): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Bangladesh Demographic Health Survey 2022 |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2019
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2017-2018
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2014
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2007
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2004
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1999-2000
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1996-1997
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Elgtelen fizikai aktivits
Feln?ttek, 2022
| Felmrs tpusa: | nbevalls |
| letkor: | 18+ |
| rintett terlet: | Orszgos |
| Referencik: | 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)-(-) |
| Defincik (csak angol nyelven rhet?k el): | 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. |
Frfiak, 2022
| Felmrs tpusa: | nbevalls |
| letkor: | 18+ |
| rintett terlet: | Orszgos |
| Referencik: | 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)-(-) |
| Defincik (csak angol nyelven rhet?k el): | 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. |
N?k, 2022
| Felmrs tpusa: | nbevalls |
| letkor: | 18+ |
| rintett terlet: | Orszgos |
| Referencik: | 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)-(-) |
| Defincik (csak angol nyelven rhet?k el): | 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. |
Feln?ttek, 2016
| Referencik: | 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 |
Frfiak, 2016
| Referencik: | 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 |
N?k, 2016
| Referencik: | 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 |
Gyermekek, 2016
| Felmrs tpusa: | nbevalls |
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Jegyzetek: | % 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. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Fik, 2016
| Felmrs tpusa: | nbevalls |
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Jegyzetek: | % 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. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Lnyok, 2016
| Felmrs tpusa: | nbevalls |
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Jegyzetek: | % 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. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Sznsavas dt?ital fogyasztsnak tlagos napi gyakorisga
Gyermekek, 2014-2015
| Felmrs tpusa: | Mrt |
| letkor: | 12-17 |
| Referencik: | 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
Feln?ttek, 2017
| letkor: | 25+ |
| rintett terlet: | Orszgos |
| Referencik: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincik (csak angol nyelven rhet?k el): | Estimated per capita fruit intake (g/day) |
A napi egynl ritkbban trtn? gymlcsfogyaszts el?fordulsa
Gyermekek, 2014
| Felmrs tpusa: | nbevalls |
| letkor: | 12-17 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
A napi egynl ritkbban trtn? zldsgfogyaszts el?fordulsa
Gyermekek, 2014
| Felmrs tpusa: | nbevalls |
| letkor: | 12-17 |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Gyorsttermi fogyaszts tlagos heti gyakorisga
Gyermekek, 2014-2015
| letkor: | 12-17 |
| Referencik: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita processed meat intake
Feln?ttek, 2017
| letkor: | 25+ |
| rintett terlet: | Orszgos |
| Referencik: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincik (csak angol nyelven rhet?k el): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Feln?ttek, 2017
| Felmrs tpusa: | Mrt |
| letkor: | 25+ |
| Referencik: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincik (csak angol nyelven rhet?k el): | Estimated per-capita whole grains intake (g/day) |
Mentlis egszsg depresszis zavarok
Feln?ttek, 2021
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depression per 100,000 population (adults 20+ years) |
Frfiak, 2021
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depression per 100,000 population (adults 20+ years) |
N?k, 2021
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depression per 100,000 population (adults 20+ years) |
Feln?ttek, 2015
| Referencik: | 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. |
| Defincik (csak angol nyelven rhet?k el): | % of population with depression disorders |
Gyermekek, 2021
| rintett terlet: | Orszgos |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Fik, 2021
| rintett terlet: | Orszgos |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Lnyok, 2021
| rintett terlet: | Orszgos |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Mentlis egszsg szorongsos zavarok
Feln?ttek, 2021
| letkor: | 20+ |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defincik (csak angol nyelven rhet?k el): | Number living with anxiety per 100,000 population |
Frfiak, 2021
| letkor: | 20+ |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defincik (csak angol nyelven rhet?k el): | Number living with anxiety per 100,000 population |
N?k, 2021
| letkor: | 20+ |
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defincik (csak angol nyelven rhet?k el): | Number living with anxiety per 100,000 population |
Feln?ttek, 2015
| Referencik: | 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. |
| Defincik (csak angol nyelven rhet?k el): | % of population with anxiety disorders |
Gyermekek, 2021
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Fik, 2021
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Lnyok, 2021
| Referencik: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
05 hnapos kor kztt kizrlag szoptatssal tpllt csecsem?k szzalkos arnya
0-5 years, 2015-2022
| Referencik: | Bangladesh Demographic Health Survey 2022 |
| Jegyzetek: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Feln?ttek, 2024
| rintett terlet: | Orszgos |
| Referencik: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Jegyzetek: | The percent of the population whose food budget is below the cost of a healthy diet. |
Feln?ttek, 2022
| rintett terlet: | Orszgos |
| Referencik: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Nyel?cs?rk
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Indicence per 100,000 |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Indicence per 100,000 |
Frfiak, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
N?k, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
Mellrk
N?k, 2022
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
Vgblrk
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
Frfiak, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
N?k, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
Hasnylmirigyrk
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
Frfiak, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
N?k, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
Epehlyagrk
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Indicence per 100,000 |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Indicence per 100,000 |
Frfiak, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
N?k, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
Veserk
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
Frfiak, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
N?k, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
Mhrk
N?k, 2022
| letkor: | 20+ |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
N?k, 2020
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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 |
| Defincik (csak angol nyelven rhet?k el): | Age-standardized indicence rates per 100 000 |
Magas vérnyomás
Feln?ttek, 2015
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Frfiak, 2015
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
N?k, 2015
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Magas koleszterinszint
Feln?ttek, 2008
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincik (csak angol nyelven rhet?k el): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Frfiak, 2008
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincik (csak angol nyelven rhet?k el): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
N?k, 2008
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincik (csak angol nyelven rhet?k el): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Magas homi vrcukorszint
Frfiak, 2014
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
N?k, 2014
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Cukorbetegsg el?fordulsi arnya
Feln?ttek, 2024
| Referencik: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Feln?ttek, 2021
| letkor: | 20-79 |
| rintett terlet: | Orszgos |
| Referencik: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Defincik (csak angol nyelven rhet?k el): | Age-adjusted comparative prevalence of diabetes, % |
Feln?ttek, 2019
| letkor: | 20-79 |
| Referencik: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Defincik (csak angol nyelven rhet?k el): | Diabetes age-adjusted comparative prevalence (%). |
Feln?ttek, 2017
| Referencik: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Defincik (csak angol nyelven rhet?k el): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
N?k, 2022
| letkor: | 20+ |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
Leukemia
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Liver and intrahepatic bile duct Cancer
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
Multiple Myeloma
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Indicence per 100,000 |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Indicence per 100,000 |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Non Hodgkin Lymphoma
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Thyroid Cancer
Frfiak, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
N?k, 2022
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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] |
| Defincik (csak angol nyelven rhet?k el): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Incoming |
| Mandatory limit of trans fats in place (all settings)? | Incoming |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Absent |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Absent |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions