Μπαγκλαντές
Lower-middle income
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- Παρ?γοντες
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- Πολιτικ?ς
- Contextual factors
Report cards
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Παρ?γοντες
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Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.????????
Unaffordable diet
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Καρκ?νος του νεφρο?
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Αυξημ?νη χοληστερ?λη
Αυξημ?νη γλυκ?ζη α?ματος νηστε?ας
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Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
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Πολιτικ?ς
Contextual factors
??????????? ??? ???????????
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Σημει?σεις: | 8279 Women, 5691 Men |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2018
| ????? ???????: | ??? ??????? |
| ??????: | 18-69 |
| ??????? ?????????: | 7985 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 23861 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Σημει?σεις: | 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. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2014
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 16478 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2011
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 17416 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2007
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 10021 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Other married women 15 - 49 years. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 1995-1996
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 3997 |
| ??????????: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Σημει?σεις: | 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 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 705 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | >1 <2 SD (overweight) +2 SD (obesity) |
| Cutoffs: | WHO 2007 |
??????, 2019-2020
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 9128 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | 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 |
??????, 2018-2019
| ????? ???????: | ??? ??????? |
| ??????: | 10-19 |
| ??????? ?????????: | 9772 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | 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 |
??????, 2014
| ????? ???????: | ???????????????? |
| ??????: | 13-17 |
| ??????? ?????????: | 2989 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
??????, 2009
| ????? ???????: | ??? ??????? |
| ??????: | 6-15 |
| ??????? ?????????: | 10135 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Z score BMI cut-offs used |
| Cutoffs: | WHO |
0-5 years, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????? ?????????: | 4254 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Bangladesh Demographic Health Survey 2022 |
| Σημει?σεις: | 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/. |
| Ορισμο?: | 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
| ??????: | 0-5 |
| ??????? ?????????: | 22011 |
| ??????????: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2018-2019
| ??????: | 0-5 |
| ??????????: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2017-2018
| ??????: | 0-5 |
| ??????? ?????????: | 8113 |
| ??????????: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2015
| ??????: | 0-5 |
| ??????????: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2014
| ??????: | 0-5 |
| ??????? ?????????: | 7369 |
| ??????????: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2014
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | State of food security and nutrition in Bangladesh: 2014 |
| Σημει?σεις: | 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/. |
| Ορισμο?: | 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
| ??????: | 0-5 |
| ??????? ?????????: | 4029 |
| ??????????: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2012-2013
| ??????: | 0-5 |
| ??????? ?????????: | 19640 |
| ??????????: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2011
| ??????: | 0-5 |
| ??????? ?????????: | 7944 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2011-2012
| ??????: | 0-5 |
| ??????????: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2007
| ??????: | 0-5 |
| ??????? ?????????: | 5344 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2006
| ??????: | 0-5 |
| ??????? ?????????: | 24302 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2005
| ??????: | 0-5 |
| ??????? ?????????: | 74758 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2004
| ??????: | 0-5 |
| ??????? ?????????: | 6083 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2003
| ??????: | 0-5 |
| ??????? ?????????: | 86999 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2002
| ??????: | 0-5 |
| ??????? ?????????: | 53315 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2001
| ??????: | 0-5 |
| ??????? ?????????: | 63444 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1999
| ??????: | 0-5 |
| ??????? ?????????: | 49374 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1999-1900
| ??????: | 0-5 |
| ??????? ?????????: | 5490 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1998
| ??????: | 0-5 |
| ??????? ?????????: | 49496 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1996
| ??????: | 0-5 |
| ??????? ?????????: | 81067 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1996-1997
| ??????: | 0-5 |
| ??????? ?????????: | 4880 |
| ??????????: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1995
| ??????: | 0-5 |
| ??????? ?????????: | 87051 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1994
| ??????: | 0-5 |
| ??????? ?????????: | 63753 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1993
| ??????: | 0-5 |
| ??????? ?????????: | 42826 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1992
| ??????: | 0-5 |
| ??????? ?????????: | 36997 |
| ??????????: | 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. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1991
| ??????: | 0-5 |
| ??????? ?????????: | 32493 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1989-1990
| ??????: | 0-5 |
| ??????? ?????????: | 1914 |
| ??????????: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1985-1986
| ??????: | 0-5 |
| ??????? ?????????: | 2675 |
| ??????????: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2022
????????
| ????? ???????: | ??? ??????? |
| ??????????: | 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) |
| Σημει?σεις: | Aged 15-49 except in 2022 (aged 20-49) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
% Adults living with overweight or obesity in Bangladesh 1995-2022
????????
| ????? ???????: | ??? ??????? |
| ??????????: | 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) |
| Σημει?σεις: | Aged 15-49 except in 2022 (aged 20-49) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, ??????????? ?????
??????
| ??????????: | 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] |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
????????
| ??????????: | 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] |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
?????????? ?????/?????????? ??? ????????? ???????
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2018
| ????? ???????: | ??? ??????? |
| ??????: | 18-69 |
| ??????? ?????????: | 7985 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 18328 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
??????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????: | 18+ |
| ??????? ?????????: | 5533 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2014
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 16478 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2014
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 1188 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 4313 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 4077 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Bangladesh Demographic Health Survey 2022 |
| Σημει?σεις: | 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/. |
| Ορισμο?: | 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
| ??????? ?????????: | 22011 |
| ??????????: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2017-2018
| ??????? ?????????: | 8113 |
| ??????????: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2014
| ??????? ?????????: | 7369 |
| ??????????: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2012-2013
| ??????? ?????????: | 19640 |
| ??????????: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2011
| ??????? ?????????: | 7944 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2007
| ??????? ?????????: | 5344 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2004
| ??????? ?????????: | 6083 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1999-2000
| ??????? ?????????: | 5490 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1996-1997
| ??????? ?????????: | 4880 |
| ??????????: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
?????????? ?????/?????????? ??? ??????
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2018
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 7985 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 18328 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
??????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 5533 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2014
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 16478 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
??????, 2019-2020
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 9128 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | 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 |
??????, 2018-2019
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 9772 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
?????????? ?????/?????????? ??? ??????????
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2018
| ????? ???????: | ??? ??????? |
| ??????: | 18-69 |
| ??????? ?????????: | 7985 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 18328 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
??????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????: | 18+ |
| ??????? ?????????: | 5533 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2014
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 16478 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2014
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 16478 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 705 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
??????, 2019-2020
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 9128 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | 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 |
??????, 2018-2019
| ????? ???????: | ??? ??????? |
| ??????: | 10-19 |
| ??????? ?????????: | 9772 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
????????, 2018-2019
| ????? ???????: | ??? ??????? |
| ??????: | 10-19 |
| ??????? ?????????: | 9772 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
??????, 2009
| ????? ???????: | ??? ??????? |
| ??????: | 6-15 |
| ??????? ?????????: | 10135 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Z score cut-offs used |
| Cutoffs: | Other |
????????, 2009
| ????? ???????: | ??? ??????? |
| ??????: | 6-15 |
| ??????? ?????????: | 10135 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | Z score cut-offs used |
| Cutoffs: | Other |
0-5 years, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 4254 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Bangladesh Demographic Health Survey 2022 |
| Σημει?σεις: | 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/. |
| Ορισμο?: | 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
| ??????? ?????????: | 22011 |
| ??????????: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2017-2018
| ??????? ?????????: | 8113 |
| ??????????: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2014
| ??????? ?????????: | 7369 |
| ??????????: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2013
| ??????? ?????????: | 4029 |
| ??????????: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2012-2013
| ??????? ?????????: | 19640 |
| ??????????: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2011
| ??????? ?????????: | 7944 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2007
| ??????? ?????????: | 5344 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2004
| ??????? ?????????: | 6083 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1999-1900
| ??????? ?????????: | 5490 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1996-1997
| ??????? ?????????: | 4880 |
| ??????????: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
?????????? ?????/?????????? ??? ??????????????????? ?????
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2018
| ????? ???????: | ??? ??????? |
| ??????: | 18-69 |
| ??????? ?????????: | 7985 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 18328 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
??????, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????: | 18+ |
| ??????? ?????????: | 5533 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2014
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 16478 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
??????, 2019-2020
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 9128 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Σημει?σεις: | 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 |
??????, 2018-2019
| ????? ???????: | ??? ??????? |
| ??????: | 10-19 |
| ??????? ?????????: | 9772 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
????????, 2018-2019
| ????? ???????: | ??? ??????? |
| ??????: | 10-19 |
| ??????? ?????????: | 9772 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
| Σημει?σεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
0-5 years, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 4254 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Bangladesh Demographic Health Survey 2022 |
| Σημει?σεις: | 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/. |
| Ορισμο?: | 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
| ??????? ?????????: | 22011 |
| ??????????: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2017-2018
| ??????? ?????????: | 8113 |
| ??????????: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2014
| ??????? ?????????: | 7369 |
| ??????????: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2013
| ??????? ?????????: | 4029 |
| ??????????: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2012-2013
| ??????? ?????????: | 19640 |
| ??????????: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2011
| ??????? ?????????: | 7944 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2007
| ??????? ?????????: | 5344 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2004
| ??????? ?????????: | 6083 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1999-1900
| ??????? ?????????: | 5490 |
| ??????????: | 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 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1996-1997
| ??????? ?????????: | 4880 |
| ??????????: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
Double burden of underweight & overweight
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 20+ |
| ??????????: | 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. |
| Σημει?σεις: | Age Standardised estimates |
| Ορισμο?: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 5-19 |
| ??????????: | 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. |
| Σημει?σεις: | Age standardised estimates |
| Ορισμο?: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Bangladesh Demographic Health Survey 2022 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | 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 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | 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 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Ορισμο?: | 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 |
????????? ???????? ??????
????????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
??????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
????????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
????????, 2016
| ??????????: | 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 |
??????, 2016
| ??????????: | 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 |
????????, 2016
| ??????????: | 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 |
??????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
??????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
???? ???????? ????????? ??????????? ??????????? ???????????
??????, 2014-2015
| ????? ???????: | ??? ??????? |
| ??????: | 12-17 |
| ??????????: | 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
????????, 2017
| ??????: | 25+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per capita fruit intake (g/day) |
Επιπολασμ?ς της καταν?λωσης φρο?των λιγ?τερο συχν? απ? ημερησ?ως
??????, 2014
| ????? ???????: | ???????????????? |
| ??????: | 12-17 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Επιπολασμ?ς της καταν?λωσης λαχανικ?ν λιγ?τερο συχν? απ? ημερησ?ως
??????, 2014
| ????? ???????: | ???????????????? |
| ??????: | 12-17 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
???? ??????????? ????????? ??????????? ???????? ???????
??????, 2014-2015
| ??????: | 12-17 |
| ??????????: | 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
????????, 2017
| ??????: | 25+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
????????, 2017
| ????? ???????: | ??? ??????? |
| ??????: | 25+ |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per-capita whole grains intake (g/day) |
?????? ????? - ????????????? ??????????
????????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
??????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
????????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
????????, 2015
| ??????????: | 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. |
| Ορισμο?: | % of population with depression disorders |
??????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
??????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
????????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
?????? ????? - ???????? ??????????
????????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
??????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
????????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
????????, 2015
| ??????????: | 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. |
| Ορισμο?: | % of population with anxiety disorders |
??????, 2021
| ??????????: | 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) |
??????, 2021
| ??????????: | 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) |
????????, 2021
| ??????????: | 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) |
% ?????? ??????? 0-5 ????? ??? ????????? ???????????? ???? ??? ???????? ????????
0-5 years, 2015-2022
| ??????????: | Bangladesh Demographic Health Survey 2022 |
| Σημει?σεις: | 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
????????, 2024
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Σημει?σεις: | The percent of the population whose food budget is below the cost of a healthy diet. |
????????, 2022
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
???????? ??? ?????????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????
????????, 2022
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????????? ????????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ????????? ??????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
Καρκ?νος του νεφρο?
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????
????????, 2022
| ??????: | 20+ |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ????????? ?????
????????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
??????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Αυξημ?νη χοληστερ?λη
????????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
??????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Αυξημ?νη γλυκ?ζη α?ματος νηστε?ας
??????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Ορισμο?: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Ορισμο?: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
??????????? ??? ???????
????????, 2024
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
????????, 2021
| ??????: | 20-79 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Ορισμο?: | Age-adjusted comparative prevalence of diabetes, % |
????????, 2019
| ??????: | 20-79 |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Ορισμο?: | Diabetes age-adjusted comparative prevalence (%). |
????????, 2017
| ??????????: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Ορισμο?: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
????????, 2022
| ??????: | 20+ |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
Leukemia
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
Liver and intrahepatic bile duct Cancer
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
Multiple Myeloma
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
Non Hodgkin Lymphoma
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
Thyroid Cancer
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | 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