• Общ преглед
  • Разпространение на затлъстяването
  • Тенденции във времето
  • Разбивки на населението
  • Причини
  • Съпътстващи заболявания
  • Икономическо въздействие
  • Политики
  • Contextual factors
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Contextual factors

Разпространение на затлъстяването

Възрастни, 2018

Тип анкета:Измерено
Възраст:18-69
Количество на пробите:7985
Обхваната зона:Национално
Референции: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)
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Възрастни, 2017-2018

Тип анкета:Измерено
Количество на пробите:23861
Обхваната зона:Национално
Референции: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)
Забележки: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.
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Жени, 2014

Тип анкета:Измерено
Възраст:15-49
Количество на пробите:16478
Обхваната зона:Национално
Референции: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)
Забележки:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Възрастни, 2011

Тип анкета:Измерено
Количество на пробите:17416
Обхваната зона:Национално
Референции: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.
Забележки:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Жени, 2007

Тип анкета:Измерено
Възраст:15-49
Количество на пробите:10021
Обхваната зона:Национално
Референции: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.
Забележки:Other married women 15 - 49 years.
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Жени, 1995-1996

Тип анкета:Измерено
Възраст:15-49
Количество на пробите:3997
Референции:Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
Забележки: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
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m².

Деца, 2018-2019

Тип анкета:Измерено
Възраст:10-19
Количество на пробите:9772
Обхваната зона:Национално
Референции: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.
Забележки: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

Деца, 2014

Тип анкета:Самоотчитане
Възраст:13-17
Количество на пробите:2989
Обхваната зона:Национално
Референции: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

Деца, 2009

Тип анкета:Измерено
Възраст:6-15
Количество на пробите:10135
Обхваната зона:Национално
Референции: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.
Забележки:Z score BMI cut-offs used
Cutoffs:WHO

Infants, 2019

Възраст:0-5
Количество на пробите:22011
Референции:MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS)
Забележки: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.
Определения:=>+2SD

Момичета, 2019

Възраст:0-5
Количество на пробите:22012
Референции:MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS)
Забележки: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.
Определения:=>+2SD

Infants, 2018-2019

Възраст:0-5
Референции:Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020
Забележки: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.
Определения:=>+2SD

Infants, 2017-2018

Възраст:0-5
Количество на пробите:8113
Референции:DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF
Забележки: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.
Определения:=>+2SD

Infants, 2015

Възраст:0-5
Референции:Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI)
Забележки: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.
Определения:=>+2SD

Infants, 2014

Възраст:0-5
Количество на пробите:7369
Референции:DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016
Забележки: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.
Определения:=>+2SD

Infants, 2013

Възраст:0-5
Количество на пробите:4029
Референции:Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014.
Забележки: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.
Определения:=>+2SD

Infants, 2012-2013

Възраст:0-5
Количество на пробите:19640
Референции:MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014.
Забележки: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.
Определения:=>+2SD

Infants, 2011

Възраст:0-5
Количество на пробите:7944
Референции: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
Забележки: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.
Определения:=>+2SD

Infants, 2011-2012

Възраст:0-5
Референции:Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID.
Забележки: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.
Определения:=>+2SD

Infants, 2007

Възраст:0-5
Количество на пробите:5344
Референции: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
Забележки: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.
Определения:=>+2SD

Infants, 2006

Възраст:0-5
Количество на пробите:24302
Референции: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
Забележки: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.
Определения:=>+2SD

Infants, 2005

Възраст:0-5
Количество на пробите:74758
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 2004

Възраст:0-5
Количество на пробите:6083
Референции: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
Забележки: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.
Определения:=>+2SD

Infants, 2003

Възраст:0-5
Количество на пробите:86999
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 2002

Възраст:0-5
Количество на пробите:53315
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 2001

Възраст:0-5
Количество на пробите:63444
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 1999

Възраст:0-5
Количество на пробите:49374
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 1999-1900

Възраст:0-5
Количество на пробите:5490
Референции: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
Забележки: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.
Определения:=>+2SD

Infants, 1998

Възраст:0-5
Количество на пробите:49496
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 1996

Възраст:0-5
Количество на пробите:81067
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 1996-1997

Възраст:0-5
Количество на пробите:4880
Референции:DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997
Забележки: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.
Определения:=>+2SD

Infants, 1995

Възраст:0-5
Количество на пробите:87051
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 1994

Възраст:0-5
Количество на пробите:63753
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 1993

Възраст:0-5
Количество на пробите:42826
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 1992

Възраст:0-5
Количество на пробите:36997
Референции: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.
Забележки: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.
Определения:=>+2SD

Infants, 1991

Възраст:0-5
Количество на пробите:32493
Референции: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
Забележки: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.
Определения:=>+2SD

Infants, 1989-1990

Възраст:0-5
Количество на пробите:1914
Референции:NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991
Забележки: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.
Определения:=>+2SD

Infants, 1985-1986

Възраст:0-5
Количество на пробите:2675
Референции:Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987
Забележки: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.
Определения:=>+2SD

?????????? ?????/???????????? ?? ???????????

?????????, 2018

??? ??????:????????
???????:18-69
?????????? ?? ???????:7985
????????? ????:??????????
??????????: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 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2017-2018

??? ??????:????????
???????:15-49
?????????? ?? ???????:18328
????????? ????:??????????
??????????: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
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2017-2018

??? ??????:????????
???????:18+
?????????? ?? ???????:5533
????????? ????:??????????
??????????: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
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2014

??? ??????:????????
???????:15-49
?????????? ?? ???????:16478
????????? ????:??????????
??????????: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
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????????, 2014

??? ??????:????????
???????:15-19
?????????? ?? ???????:1188
????????? ????:??????????
??????????: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.
???????????:BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007

Infants, 2019

?????????? ?? ???????:22011
??????????:MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS)
?????????: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.
???????????:=>+2SD

Infants, 2017-2018

?????????? ?? ???????:8113
??????????:DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF
?????????: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.
???????????:=>+2SD

Infants, 2014

?????????? ?? ???????:7369
??????????:DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016
?????????: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.
???????????:=>+2SD

Infants, 2012-2013

?????????? ?? ???????:19640
??????????:MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014.
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

?????????? ?????/???????????? ?? ???????

?????????, 2018

??? ??????:????????
?????????? ?? ???????:7985
????????? ????:??????????
??????????: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 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2017-2018

??? ??????:????????
?????????? ?? ???????:18328
????????? ????:??????????
??????????: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.
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2017-2018

??? ??????:????????
?????????? ?? ???????:5533
????????? ????:??????????
??????????: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.
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2014

??? ??????:????????
?????????? ?? ???????:16478
????????? ????:??????????
??????????: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.
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2018-2019

??? ??????:????????
?????????? ?? ???????:9772
????????? ????:??????????
??????????: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.
?????????:4,907 boys and 4,865 girls
Cutoffs:WHO

?????????? ?????/???????????? ?? ??????

?????????, 2018

??? ??????:????????
???????:18-69
?????????? ?? ???????:7985
????????? ????:??????????
??????????: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 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2017-2018

??? ??????:????????
???????:15-49
?????????? ?? ???????:18328
????????? ????:??????????
??????????: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.
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2017-2018

??? ??????:????????
???????:18+
?????????? ?? ???????:5533
????????? ????:??????????
??????????: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.
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2014

??? ??????:????????
???????:15-49
?????????? ?? ???????:16478
????????? ????:??????????
??????????: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.
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2014

??? ??????:????????
???????:15-49
?????????? ?? ???????:16478
????????? ????:??????????
??????????: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.
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

???????, 2018-2019

??? ??????:????????
???????:10-19
?????????? ?? ???????:9772
????????? ????:??????????
??????????: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.
?????????:4,907 boys and 4,865 girls
Cutoffs:WHO

????????, 2018-2019

??? ??????:????????
???????:10-19
?????????? ?? ???????:9772
????????? ????:??????????
??????????: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.
?????????:4,907 boys and 4,865 girls
Cutoffs:WHO

???????, 2009

??? ??????:????????
???????:6-15
?????????? ?? ???????:10135
????????? ????:??????????
??????????: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.
?????????:Z score cut-offs used
Cutoffs:Other

????????, 2009

??? ??????:????????
???????:6-15
?????????? ?? ???????:10135
????????? ????:??????????
??????????: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.
?????????:Z score cut-offs used
Cutoffs:Other

Infants, 2019

?????????? ?? ???????:22011
??????????:MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS)
?????????: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.
???????????:=>+2SD

Infants, 2017-2018

?????????? ?? ???????:8113
??????????:DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF
?????????: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.
???????????:=>+2SD

Infants, 2014

?????????? ?? ???????:7369
??????????:DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016
?????????: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.
???????????:=>+2SD

Infants, 2013

?????????? ?? ???????:4029
??????????:Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014.
?????????: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.
???????????:=>+2SD

Infants, 2012-2013

?????????? ?? ???????:19640
??????????:MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014.
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

?????????? ?????/???????????? ?? ????????-???????????? ?????

?????????, 2018

??? ??????:????????
???????:18-69
?????????? ?? ???????:7985
????????? ????:??????????
??????????: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 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2017-2018

??? ??????:????????
???????:15-49
?????????? ?? ???????:18328
????????? ????:??????????
??????????: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
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2017-2018

??? ??????:????????
???????:18+
?????????? ?? ???????:5533
????????? ????:??????????
??????????: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
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

????, 2014

??? ??????:????????
???????:15-49
?????????? ?? ???????:16478
????????? ????:??????????
??????????: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
?????????:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m².

???????, 2018-2019

??? ??????:????????
???????:10-19
?????????? ?? ???????:9772
????????? ????:??????????
??????????: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.
?????????:4,907 boys and 4,865 girls
Cutoffs:WHO

????????, 2018-2019

??? ??????:????????
???????:10-19
?????????? ?? ???????:9772
????????? ????:??????????
??????????: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.
?????????:4,907 boys and 4,865 girls
Cutoffs:WHO

Infants, 2019

?????????? ?? ???????:22011
??????????:MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS)
?????????: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.
???????????:=>+2SD

Infants, 2017-2018

?????????? ?? ???????:8113
??????????:DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF
?????????: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.
???????????:=>+2SD

Infants, 2014

?????????? ?? ???????:7369
??????????:DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016
?????????: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.
???????????:=>+2SD

Infants, 2013

?????????? ?? ???????:4029
??????????:Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014.
?????????: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.
???????????:=>+2SD

Infants, 2012-2013

?????????? ?? ???????:19640
??????????:MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014.
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

Infants, 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
?????????: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.
???????????:=>+2SD

???????????? ????????? ?????????

?????????, 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)
?????????:% 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.
???????????:% 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)
?????????:% 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.
???????????:% 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)
?????????:% 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.
???????????:% 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+
??????????:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
???????????:Estimated per-capita fruit intake (g/day)

????????????? ?? ??-????? ?? ?????? ?????????? ?? ???????

????, 2008-2015

??? ??????:????????
???????:12-17
??????????: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
???????????:Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption)

????????????? ?? ??-????? ?? ?????? ?????????? ?? ?????????

????, 2008-2015

??? ??????:????????
???????: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
???????????: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

??????? ????? ?? ??????????? ???? ?? ????? ?? ???????????

?????????, 2017

??? ??????:????????
???????:25+
??????????:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
???????????: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/
???????????:Estimated per-capita whole grains intake (g/day)

???????? ?????? – ?????????? ????????????

?????????, 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.
???????????:% of population with depression disorders

???????? ?????? – ???????? ????????????

?????????, 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.
???????????:% of population with anxiety disorders

% ??????, ??????? ???????????? ? ????? 0-5 ??????

????, 2015-2020

????????? ????:??????????
??????????:Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS)
?????????:See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021.
???????????:% exclusively breastfed 0-5 months

??? ?? ????????????

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

??? ?? ???????

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

???????????? ???

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

??? ?? ?????????

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

??? ?? ??????? ?????

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

??? ?? ?????????

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????:Age-standardized indicence rates per 100 000

??? ?? ???????

????, 2020

???????:20+
????????? ????:??????????
??????????: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
???????????: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
???????????: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
???????????: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
???????????:Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

??????? ??????????

?????????, 2008

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
???????????:% 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
???????????:% 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
???????????:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).

???????? ?????? ????? ?? ??????

????, 2014

??????????:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
???????????: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
???????????:Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).

????????????? ?? ???????

?????????, 2021

???????:20-79
????????? ????:??????????
??????????:Reproduced with kind permission International Diabetes Federation.  IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org
???????????: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
???????????: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
???????????:Diabetes age-adjusted comparative prevalence (%).

Economic impact of overweight and obesity

Country comparisons

You can choose to compare this country’s data with the data for up to four other countries.

Policies, Interventions and Actions

Ban on Trans Fats

Bangladesh’s trans fat limits – which stipulate that trans fat content in fats, oils and foods may not exceed 2% of total fat – took effect on December 31, 2022 This should be available on the Bangladesh Food Safety Authority Website but details not available in English Weblink provided to information available in english via the Global Health Advocacy Indicator

Categories:Industry/Government regulations - voluntary /pledges
Year(s):2022 (ongoing)
Target age group:Възрастни и деца
Organisation:Bangladesh Food Safety Authority
Find out more:bfsa.gov.bd
Linked document:Download linked document

Multisectoral action plan for prevention and control of non-communicable diseases 2018–2025

Categories:Evidence of NCD strategy
Year(s):2018-2025
Target age group:Възрастни и деца
Organisation:Noncommunicable Diseases Control (NCDC), Directorate General Health Services (DGHS)
Linked document:Download linked document

Dietary Guidelines Bangladesh 2000 (revised 2013)

The dietary guidelines published by Bangladesh National Nutrition Council (BNNC) and other regional guidelines have been reviewed in the preparation of these guidelines. In 2000 BNNC, MoHFW in collaboration with multiple stakeholders formulated a set of qualitative dietary guidelines. The present dietary guidelines have been developed after extensive analysis of the HIES 2010 data, the food and nutrient intake pattern as well as the nutrition situation of Bangladesh. Weblink provided by FAO

Categories:Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Year(s):2013
Target age group:Възрастни и деца
Organisation:Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders (BIRDEM)
Linked document:Download linked document
References:Dietary Guidelines of Bangladesh (2013). Bangladesh Institue of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders.

Alive & Thrive (Promoting Breastfeeding)

Alive and Thrive (A&T) is an initiative to save lives, prevent illness, and ensure healthy growth and development through optimal maternal nutrition, breastfeeding, and complementary feeding practices.

Categories:Evidence of Breastfeeding promotion or related activity
Year(s):2009 (ongoing)
Target age group:Възрастни
Organisation:Alive & Thrive
References:https://www.aliveandthrive.org/en

Bangladesh Standard for use of Nutrition and Health Claims

A government guideline on the use of Nutrition and Health Claims on foods

Categories:Labelling Regulation/Guidelines
Year(s):2008 (ongoing)
Target age group:Възрастни и деца
Organisation:Bangladesh Standards and Testing institution
References:Informationpr ovided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en. Bangladesh Standard for use of Nutrition and Health Claims. Bangladesh Standards and Testing Institution 2008. Available at https://extranet.who.int/nutrition/gina/sites/default/filesstore/BGD%202008%20Nutrition%20and%20Health%20Claims.pdf (last accessed 27.06.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

GNPR 2016-17 (q7) Breastfeeeding promotion and/or counselling

WHO Global Nutrition Policy Review 2016-2017 reported the evidence of breastfeeding promotion and/or counselling (q7)

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Възрастни
Organisation:Ministry of Health (information provided by the GINA progam)
Find out more:extranet.who.int
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

No actions could be found for the above criteria.

Contextual factors

Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.

Tap on a tick to find out more about policies influencing this factor.

Labelling

Is there mandatory nutrition labelling?Absent
Front-of-package labelling?Absent
Back-of-pack nutrition declaration?Absent
Color coding?Absent
Warning label?Absent

Regulation and marketing

Are there fiscal policies on unhealthy products?Absent
Tax on unhealthy foods?Absent
Tax on unhealthy drinks?Absent
Are there fiscal policies on healthy products?Absent
Subsidy on fruits?Absent
Subsidy on vegetables?Absent
Subsidy on other healthy products?Absent
Mandatory limit or ban of trans fat (all settings)?Incoming
Mandatory limit of trans fats in place (all settings)? Incoming
Ban on trans-fats or phos in place (all settings)? Absent
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children?Absent
Mandatory restriction on broadcast media?Absent
Mandatory restriction on non-broadcast media?Absent
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children?Absent
Are there mandatory standards for food in schools?Absent
Are there any mandatory nutrient limits in any manufactured food products?Absent
Nutrition standards for public sector procurement?Absent

Political will and support

National obesity strategy or nutrition and physical activity national strategy?Absent
National obesity strategy?Absent
National childhood obesity strategy?Absent
Comprehensive nutrition strategy?Absent
Comprehensive physical activity strategy?Absent
Evidence-based dietary guidelines and/or RDAs?Present
National target(s) on reducing obesity?Absent
Guidelines/policy on obesity treatment?Absent
Promotion of breastfeeding?Absent

Monitoring and surveillance

Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors?Present
Within 5 years?Present

Governance and resource

Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)?Present

Key

Present
Present (voluntary)
Incoming
Absent
Unknown

Last updated September 13, 2022

See more policies here

Download contextual factors as a PDF Contextual factors definitions

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