Bangladesh

Overview
Obesity prevalence
Trends over time
Population breakdowns
Drivers
Comorbidities
Economic impact
Policies
Contextual factors

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National obesity risk *7/10 Childhood obesity risk *3/11

* Based on estimated data. For more information see Publications

Population breakdowns

Drivers

Comorbidities

Economic impact

Policies

Nutritional or Health Strategy

Regulations (voluntary/pledges)

Contextual factors

Obesity prevalence

Adults, 2018

Survey type:	Measured
Age:	18-69
Sample size:	7985
Area covered:	National
References:	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)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2017-2018

Survey type:	Measured
Sample size:	23861
Area covered:	National
References:	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)
Notes:	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.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2014

Survey type:	Measured
Age:	15-49
Sample size:	16478
Area covered:	National
References:	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)
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2011

Survey type:	Measured
Sample size:	17416
Area covered:	National
References:	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.
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2007

Survey type:	Measured
Age:	15-49
Sample size:	10021
Area covered:	National
References:	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.
Notes:	Other married women 15 - 49 years.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 1995-1996

Survey type:	Measured
Age:	15-49
Sample size:	3997
References:	Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
Notes:	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
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Children, 2018-2019

Survey type:	Measured
Age:	10-19
Sample size:	9772
Area covered:	National
References:	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.
Notes:	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

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Children, 2014

Survey type:	Self-reported
Age:	13-17
Sample size:	2989
Area covered:	National
References:	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

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Children, 2009

Survey type:	Measured
Age:	6-15
Sample size:	10135
Area covered:	National
References:	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.
Notes:	Z score BMI cut-offs used
Cutoffs:	WHO

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% Adults living with obesity, 1995-2018

Survey type:	Measured
References:	1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used.

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% Adults living with overweight or obesity, 1995-2018

Survey type:	Measured
References:	1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used.

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% Adults living with obesity, selected countries, 1976-2019

Men

References:

1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190
1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53
1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
1998: Data provided by the Philippean Depatment of Health, Dr C. Barbu, data reanalysed by Dr Charmaine Duante.
2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196.
2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11
2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH).
2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011)
2004: Tonga STEPS Survey 2004
2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577
2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey.
2007: Mohamud WN, Musa KI, Khir AS, Ismail AA, Ismail IS, Kadir KA, Kamaruddin NA, Yaacob NA, Mustafa N, Ali O, Isa SH, Bebakar WM.Prevalence of overweight and obesity among adult Malaysians: an update. Asia Pac J Clin Nutr. 2011;20(1):35-41.
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, 2012: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20)
2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publication/annual-update-key-results-2014-15-new-zealand-health-survey (last accessed 16.12.2015)
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 14th December 2017)
2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20)
2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19)
2019: 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

Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used.

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Women

References:

Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used.

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Overweight/obesity by education

Adults, 2018

Survey type:	Measured
Age:	18-69
Sample size:	7985
Area covered:	National
References:	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)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2017-2018

Survey type:	Measured
Age:	15-49
Sample size:	18328
Area covered:	National
References:	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
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Men, 2017-2018

Survey type:	Measured
Age:	18+
Sample size:	5533
Area covered:	National
References:	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
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2014

Survey type:	Measured
Age:	15-49
Sample size:	16478
Area covered:	National
References:	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
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Girls, 2014

Survey type:	Measured
Age:	15-19
Sample size:	1188
Area covered:	National
References:	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.
Definitions:	BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:	WHO 2007

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Overweight/obesity by age

Adults, 2018

Survey type:	Measured
Sample size:	7985
Area covered:	National
References:	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)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2017-2018

Survey type:	Measured
Sample size:	18328
Area covered:	National
References:	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.
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Men, 2017-2018

Survey type:	Measured
Sample size:	5533
Area covered:	National
References:	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.
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2014

Survey type:	Measured
Sample size:	16478
Area covered:	National
References:	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.
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Children, 2018-2019

Survey type:	Measured
Sample size:	9772
Area covered:	National
References:	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.
Notes:	4,907 boys and 4,865 girls
Cutoffs:	WHO

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Overweight/obesity by region

Adults, 2018

Survey type:	Measured
Age:	18-69
Sample size:	7985
Area covered:	National
References:	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)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2017-2018

Survey type:	Measured
Age:	15-49
Sample size:	18328
Area covered:	National
References:	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.
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Men, 2017-2018

Survey type:	Measured
Age:	18+
Sample size:	5533
Area covered:	National
References:	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.
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2014

Survey type:	Measured
Age:	15-49
Sample size:	16478
Area covered:	National
References:	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.
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2014

Survey type:	Measured
Age:	15-49
Sample size:	16478
Area covered:	National
References:	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.
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Boys, 2018-2019

Survey type:	Measured
Age:	10-19
Sample size:	9772
Area covered:	National
References:	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.
Notes:	4,907 boys and 4,865 girls
Cutoffs:	WHO

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Girls, 2018-2019

Survey type:	Measured
Age:	10-19
Sample size:	9772
Area covered:	National
References:	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.
Notes:	4,907 boys and 4,865 girls
Cutoffs:	WHO

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Boys, 2009

Survey type:	Measured
Age:	6-15
Sample size:	10135
Area covered:	National
References:	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.
Notes:	Z score cut-offs used
Cutoffs:	Other

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Girls, 2009

Survey type:	Measured
Age:	6-15
Sample size:	10135
Area covered:	National
References:	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.
Notes:	Z score cut-offs used
Cutoffs:	Other

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Overweight/obesity by socio-economic group

Adults, 2018

Survey type:	Measured
Age:	18-69
Sample size:	7985
Area covered:	National
References:	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)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2017-2018

Survey type:	Measured
Age:	15-49
Sample size:	18328
Area covered:	National
References:	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
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Men, 2017-2018

Survey type:	Measured
Age:	18+
Sample size:	5533
Area covered:	National
References:	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
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2014

Survey type:	Measured
Age:	15-49
Sample size:	16478
Area covered:	National
References:	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
Notes:	Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Boys, 2018-2019

Survey type:	Measured
Age:	10-19
Sample size:	9772
Area covered:	National
References:	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.
Notes:	4,907 boys and 4,865 girls
Cutoffs:	WHO

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Girls, 2018-2019

Survey type:	Measured
Age:	10-19
Sample size:	9772
Area covered:	National
References:	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.
Notes:	4,907 boys and 4,865 girls
Cutoffs:	WHO

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Insufficient physical activity

Adults, 2016

References:

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

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Men, 2016

References:

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Women, 2016

References:

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Children, 2016

Survey type:	Self-reported
Age:	11-17
References:	Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:	% 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.
Definitions:	% Adolescents insufficiently active (age standardised estimate)

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Boys, 2016

Survey type:	Self-reported
Age:	11-17
References:	Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:	% 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.
Definitions:	% Adolescents insufficiently active (age standardised estimate)

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Girls, 2016

Survey type:	Self-reported
Age:	11-17
References:	Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:	% 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.
Definitions:	% Adolescents insufficiently active (age standardised estimate)

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Average daily frequency of carbonated soft drink consumption

Children, 2014-2015

Survey type:	Measured
Age:	12-17
References:	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

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Estimated per capita fruit intake

Adults, 2017

Survey type:	Measured
Age:	25+
References:	Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions:	Estimated per-capita fruit intake (g/day)

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Prevalence of less than daily fruit consumption

Children, 2008-2015

Survey type:	Measured
Age:	12-17
References:	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
Definitions:	Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption)

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Prevalence of less than daily vegetable consumption

Children, 2008-2015

Survey type:	Measured
Age:	12-17
References:	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
Definitions:	Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption)

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Average weekly frequency of fast food consumption

Children, 2014-2015

Age:	12-17
References:	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

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Estimated per-capita processed meat intake

Adults, 2017

Survey type:	Measured
Age:	25+
References:	Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions:	Estimated per-capita processed meat intake (g per day)

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Estimated per capita whole grains intake

Adults, 2017

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

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Mental health - depression disorders

Adults, 2015

References:	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.
Definitions:	% of population with depression disorders

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Mental health - anxiety disorders

Adults, 2015

References:	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.
Definitions:	% of population with anxiety disorders

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% Infants exclusively breastfed 0-5 months

Children, 2015-2020

Area covered:	National
References:	Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS)
Notes:	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.
Definitions:	% exclusively breastfed 0-5 months

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Oesophageal cancer

Men, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Women, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Breast cancer

Women, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Colorectal cancer

Men, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Women, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Pancreatic cancer

Men, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Women, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Gallbladder cancer

Men, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Women, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Kidney cancer

Men, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Women, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Cancer of the uterus

Women, 2020

Age:	20+
Area covered:	National
References:	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
Definitions:	Age-standardized indicence rates per 100 000

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Raised blood pressure

Adults, 2015

References:	Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions:	Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

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Men, 2015

References:	Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions:	Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

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Women, 2015

References:	Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions:	Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

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Raised cholesterol

Adults, 2008

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

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Men, 2008

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

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Women, 2008

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

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Raised fasting blood glucose

Men, 2014

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

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Women, 2014

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

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Diabetes prevalence

Adults, 2021

Age:	20-79
Area covered:	National
References:	Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org
Definitions:	Age-adjusted comparative prevalence of diabetes, %

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Adults, 2019

Age:	20-79
References:	Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org
Definitions:	Diabetes age-adjusted comparative prevalence (%).

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Adults, 2017

References:	Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org
Definitions:	Diabetes age-adjusted comparative prevalence (%).

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Economic impact of overweight and obesity

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:	Adults and children
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:	Adults and children
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:	Adults and children
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:	Adults
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:	Adults and children
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)

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:	Adults
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

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

Obesity prevalence

Trends over time

Download report card

Population breakdowns

By education

By age

By region

By socio-economic group

Drivers

Insufficient activity

Soft drink consumption

Fruit consumption

Vegetable consumption

Fast food consumption

Processed meat consumption

Grains consumption

Depression

Anxiety

Roots of obesity »

Breastfeeding

Download report card

Comorbidities

Oesophageal cancer

Breast cancer

Colorectal cancer

Pancreatic cancer

Gallbladder cancer

Kidney cancer

Cancer of the uterus

Raised blood pressure

Raised cholesterol

Raised fasting blood glucose

Diabetes prevalence

Download report card

Economic impact

Economic impact

Download report card

Policies

Nutritional or Health Strategy

Labelling

NCD Strategy

Regulations (voluntary/pledges)

Breastfeeding

Download report card

Contextual factors

Contextual factors

Obesity prevalence

Adults, 2018

Adults, 2017-2018

Women, 2014

Adults, 2011

Women, 2007

Women, 1995-1996

Children, 2018-2019

Children, 2014

Children, 2009

% Adults living with obesity, 1995-2018

% Adults living with overweight or obesity, 1995-2018

% Adults living with obesity, selected countries, 1976-2019

Men

Women

Overweight/obesity by education

Adults, 2018

Women, 2017-2018

Men, 2017-2018

Women, 2014

Girls, 2014

Overweight/obesity by age

Adults, 2018

Women, 2017-2018

Men, 2017-2018

Women, 2014

Children, 2018-2019

Overweight/obesity by region

Adults, 2018

Women, 2017-2018

Men, 2017-2018

Women, 2014

Women, 2014

Boys, 2018-2019