Bangladeche
Lower-middle income
- Viso geral
- Prevalncia de obesidade
- Tendncias ao longo do tempo
- Discriminao da populao
- Condutores
- Comorbidades
- Impacto econmico
- Polticas (disponvel apenas em ingls)
- Contextual factors
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Risco de obesidade nacional *7/10This is a composite obesity risk score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Risco de obesidade infantil *3/11This is a risk score for each countrys likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Report cards
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Discriminao da populao
Condutores
Atividade insuficiente
Consumo de refrigerantes
Consumo de fruta
Consumo de vegetais
Consumo de comida rpida
Consumo de carne processada
Consumo de cereais
Depresso
Ansiedade
Razes da obesidade »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Amamentar
Unaffordable diet
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Comorbidades
Cancro do esfago
Cancro da mama
Cancro colorretal
Cancro do pncreas
Cancro da vescula biliar
Cancro do rim
Cancro do tero
Presso arterial elevada
Colesterol elevado
Glicose no sangue elevada em jejum
Prevalncia de diabetes
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
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Impacto econmico
Polticas (disponvel apenas em ingls)
Contextual factors
Prevalncia de obesidade
Adultos, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 13970 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Notas: | 8279 Women, 5691 Men |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Adultos, 2018
| Tipo de inqurito: | Medido |
| Idade: | 18-69 |
| Tamanho da amostra: | 7985 |
| rea abrangida: | Nacional |
| Referncias: | 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) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Adultos, 2017-2018
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 23861 |
| rea abrangida: | Nacional |
| Referncias: | 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) |
| Notas: | 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. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2014
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 16478 |
| rea abrangida: | Nacional |
| Referncias: | 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) |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Adultos, 2011
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 17416 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2007
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 10021 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Other married women 15 - 49 years. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 1995-1996
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 3997 |
| Referncias: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Notas: | 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 |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Raparigas, 2022
| Tipo de inqurito: | Medido |
| Idade: | 15-19 |
| Tamanho da amostra: | 705 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Definies (disponvel apenas em ingls): | >1 <2 SD (overweight) +2 SD (obesity) |
| Cutoffs: | WHO 2007 |
Crianas, 2019-2020
| Tipo de inqurito: | Medido |
| Idade: | 15-19 |
| Tamanho da amostra: | 9128 |
| rea abrangida: | Nacional |
| Referncias: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Notas: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Crianas, 2018-2019
| Tipo de inqurito: | Medido |
| Idade: | 10-19 |
| Tamanho da amostra: | 9772 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | 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 |
Crianas, 2014
| Tipo de inqurito: | Autorreportado |
| Idade: | 13-17 |
| Tamanho da amostra: | 2989 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
Crianas, 2009
| Tipo de inqurito: | Medido |
| Idade: | 6-15 |
| Tamanho da amostra: | 10135 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Z score BMI cut-offs used |
| Cutoffs: | WHO |
0-5 years, 2022
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Tamanho da amostra: | 4254 |
| rea abrangida: | Nacional |
| Referncias: | Bangladesh Demographic Health Survey 2022 |
| Notas: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Definies (disponvel apenas em ingls): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Idade: | 0-5 |
| Tamanho da amostra: | 22011 |
| Referncias: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2018-2019
| Idade: | 0-5 |
| Referncias: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2017-2018
| Idade: | 0-5 |
| Tamanho da amostra: | 8113 |
| Referncias: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2015
| Idade: | 0-5 |
| Referncias: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2014
| Idade: | 0-5 |
| Tamanho da amostra: | 7369 |
| Referncias: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2014
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| rea abrangida: | Nacional |
| Referncias: | State of food security and nutrition in Bangladesh: 2014 |
| Notas: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Definies (disponvel apenas em ingls): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2013
| Idade: | 0-5 |
| Tamanho da amostra: | 4029 |
| Referncias: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2012-2013
| Idade: | 0-5 |
| Tamanho da amostra: | 19640 |
| Referncias: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2011
| Idade: | 0-5 |
| Tamanho da amostra: | 7944 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2011-2012
| Idade: | 0-5 |
| Referncias: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2007
| Idade: | 0-5 |
| Tamanho da amostra: | 5344 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2006
| Idade: | 0-5 |
| Tamanho da amostra: | 24302 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2005
| Idade: | 0-5 |
| Tamanho da amostra: | 74758 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2004
| Idade: | 0-5 |
| Tamanho da amostra: | 6083 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2003
| Idade: | 0-5 |
| Tamanho da amostra: | 86999 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2002
| Idade: | 0-5 |
| Tamanho da amostra: | 53315 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2001
| Idade: | 0-5 |
| Tamanho da amostra: | 63444 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1999
| Idade: | 0-5 |
| Tamanho da amostra: | 49374 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1999-1900
| Idade: | 0-5 |
| Tamanho da amostra: | 5490 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1998
| Idade: | 0-5 |
| Tamanho da amostra: | 49496 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1996
| Idade: | 0-5 |
| Tamanho da amostra: | 81067 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1996-1997
| Idade: | 0-5 |
| Tamanho da amostra: | 4880 |
| Referncias: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1995
| Idade: | 0-5 |
| Tamanho da amostra: | 87051 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1994
| Idade: | 0-5 |
| Tamanho da amostra: | 63753 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1993
| Idade: | 0-5 |
| Tamanho da amostra: | 42826 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1992
| Idade: | 0-5 |
| Tamanho da amostra: | 36997 |
| Referncias: | 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. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1991
| Idade: | 0-5 |
| Tamanho da amostra: | 32493 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1989-1990
| Idade: | 0-5 |
| Tamanho da amostra: | 1914 |
| Referncias: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1985-1986
| Idade: | 0-5 |
| Tamanho da amostra: | 2675 |
| Referncias: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2022
Mulheres
| Tipo de inqurito: | Medido |
| Referncias: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Notas: | Aged 15-49 except in 2022 (aged 20-49) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
| Diferentes metodologias podem ter sido usadas para recolher estes dados e, portanto, os dados de diferentes inquritos podem no ser estritamente comparveis. Verifique as fontes de dados originais para as metodologias utilizadas | |
% Adults living with overweight or obesity in Bangladesh 1995-2022
Mulheres
| Tipo de inqurito: | Medido |
| Referncias: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Notas: | Aged 15-49 except in 2022 (aged 20-49) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
| Diferentes metodologias podem ter sido usadas para recolher estes dados e, portanto, os dados de diferentes inquritos podem no ser estritamente comparveis. Verifique as fontes de dados originais para as metodologias utilizadas | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, pases selecionados
Homens
| Referncias: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| Diferentes metodologias podem ter sido usadas para recolher estes dados e, portanto, os dados de diferentes inquritos podem no ser estritamente comparveis. Verifique as fontes de dados originais para as metodologias utilizadas | |
Mulheres
| Referncias: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| Diferentes metodologias podem ter sido usadas para recolher estes dados e, portanto, os dados de diferentes inquritos podem no ser estritamente comparveis. Verifique as fontes de dados originais para as metodologias utilizadas | |
Excesso de peso/obesidade por educao
Homens, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 13970 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 13970 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Adultos, 2018
| Tipo de inqurito: | Medido |
| Idade: | 18-69 |
| Tamanho da amostra: | 7985 |
| rea abrangida: | Nacional |
| Referncias: | 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) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2017-2018
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 18328 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Homens, 2017-2018
| Tipo de inqurito: | Medido |
| Idade: | 18+ |
| Tamanho da amostra: | 5533 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2014
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 16478 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Raparigas, 2014
| Tipo de inqurito: | Medido |
| Idade: | 15-19 |
| Tamanho da amostra: | 1188 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Definies (disponvel apenas em ingls): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 4313 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +2 SD |
0-5 years, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 4077 |
| rea abrangida: | Nacional |
| Referncias: | Bangladesh Demographic Health Survey 2022 |
| Notas: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Definies (disponvel apenas em ingls): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Tamanho da amostra: | 22011 |
| Referncias: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2017-2018
| Tamanho da amostra: | 8113 |
| Referncias: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2014
| Tamanho da amostra: | 7369 |
| Referncias: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2012-2013
| Tamanho da amostra: | 19640 |
| Referncias: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2011
| Tamanho da amostra: | 7944 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2007
| Tamanho da amostra: | 5344 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2004
| Tamanho da amostra: | 6083 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1999-2000
| Tamanho da amostra: | 5490 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1996-1997
| Tamanho da amostra: | 4880 |
| Referncias: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
Excesso de peso/obesidade por idade
Adultos, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 13970 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Adultos, 2018
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 7985 |
| rea abrangida: | Nacional |
| Referncias: | 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) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2017-2018
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 18328 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Homens, 2017-2018
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 5533 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2014
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 16478 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Crianas, 2019-2020
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 9128 |
| rea abrangida: | Nacional |
| Referncias: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Notas: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Crianas, 2018-2019
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 9772 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Excesso de peso/obesidade por regio
Homens, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 13970 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 13970 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Adultos, 2018
| Tipo de inqurito: | Medido |
| Idade: | 18-69 |
| Tamanho da amostra: | 7985 |
| rea abrangida: | Nacional |
| Referncias: | 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) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2017-2018
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 18328 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Homens, 2017-2018
| Tipo de inqurito: | Medido |
| Idade: | 18+ |
| Tamanho da amostra: | 5533 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2014
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 16478 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2014
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 16478 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Raparigas, 2022
| Tipo de inqurito: | Medido |
| Idade: | 15-19 |
| Tamanho da amostra: | 705 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +1SD to 2SD />2SD |
Crianas, 2019-2020
| Tipo de inqurito: | Medido |
| Idade: | 15-19 |
| Tamanho da amostra: | 9128 |
| rea abrangida: | Nacional |
| Referncias: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Notas: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Rapazes, 2018-2019
| Tipo de inqurito: | Medido |
| Idade: | 10-19 |
| Tamanho da amostra: | 9772 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Raparigas, 2018-2019
| Tipo de inqurito: | Medido |
| Idade: | 10-19 |
| Tamanho da amostra: | 9772 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Rapazes, 2009
| Tipo de inqurito: | Medido |
| Idade: | 6-15 |
| Tamanho da amostra: | 10135 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Z score cut-offs used |
| Cutoffs: | Other |
Raparigas, 2009
| Tipo de inqurito: | Medido |
| Idade: | 6-15 |
| Tamanho da amostra: | 10135 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | Z score cut-offs used |
| Cutoffs: | Other |
0-5 years, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 4254 |
| rea abrangida: | Nacional |
| Referncias: | Bangladesh Demographic Health Survey 2022 |
| Notas: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Definies (disponvel apenas em ingls): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Tamanho da amostra: | 22011 |
| Referncias: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2017-2018
| Tamanho da amostra: | 8113 |
| Referncias: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2014
| Tamanho da amostra: | 7369 |
| Referncias: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2013
| Tamanho da amostra: | 4029 |
| Referncias: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2012-2013
| Tamanho da amostra: | 19640 |
| Referncias: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2011
| Tamanho da amostra: | 7944 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2007
| Tamanho da amostra: | 5344 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2004
| Tamanho da amostra: | 6083 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1999-1900
| Tamanho da amostra: | 5490 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1996-1997
| Tamanho da amostra: | 4880 |
| Referncias: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
Excesso de peso/obesidade por grupo socioeconmico
Homens, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 13970 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 13970 |
| rea abrangida: | Nacional |
| Referncias: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Adultos, 2018
| Tipo de inqurito: | Medido |
| Idade: | 18-69 |
| Tamanho da amostra: | 7985 |
| rea abrangida: | Nacional |
| Referncias: | 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) |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2017-2018
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 18328 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Homens, 2017-2018
| Tipo de inqurito: | Medido |
| Idade: | 18+ |
| Tamanho da amostra: | 5533 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2014
| Tipo de inqurito: | Medido |
| Idade: | 15-49 |
| Tamanho da amostra: | 16478 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Notas: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Crianas, 2019-2020
| Tipo de inqurito: | Medido |
| Idade: | 15-19 |
| Tamanho da amostra: | 9128 |
| rea abrangida: | Nacional |
| Referncias: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Notas: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Rapazes, 2018-2019
| Tipo de inqurito: | Medido |
| Idade: | 10-19 |
| Tamanho da amostra: | 9772 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Raparigas, 2018-2019
| Tipo de inqurito: | Medido |
| Idade: | 10-19 |
| Tamanho da amostra: | 9772 |
| rea abrangida: | Nacional |
| Referncias: | 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. |
| Notas: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
0-5 years, 2022
| Tipo de inqurito: | Medido |
| Tamanho da amostra: | 4254 |
| rea abrangida: | Nacional |
| Referncias: | Bangladesh Demographic Health Survey 2022 |
| Notas: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Definies (disponvel apenas em ingls): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Tamanho da amostra: | 22011 |
| Referncias: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2017-2018
| Tamanho da amostra: | 8113 |
| Referncias: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2014
| Tamanho da amostra: | 7369 |
| Referncias: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2013
| Tamanho da amostra: | 4029 |
| Referncias: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2012-2013
| Tamanho da amostra: | 19640 |
| Referncias: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2011
| Tamanho da amostra: | 7944 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2007
| Tamanho da amostra: | 5344 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 2004
| Tamanho da amostra: | 6083 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1999-1900
| Tamanho da amostra: | 5490 |
| Referncias: | 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 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
0-5 years, 1996-1997
| Tamanho da amostra: | 4880 |
| Referncias: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Notas: | 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. |
| Definies (disponvel apenas em ingls): | =>+2SD |
Double burden of underweight & overweight
Adultos, 2022
| Tipo de inqurito: | Medido |
| Idade: | 20+ |
| Referncias: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Notas: | Age Standardised estimates |
| Definies (disponvel apenas em ingls): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Crianas, 2022
| Tipo de inqurito: | Medido |
| Idade: | 5-19 |
| Referncias: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Notas: | Age standardised estimates |
| Definies (disponvel apenas em ingls): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | Bangladesh Demographic Health Survey 2022 |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2019
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2017-2018
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2014
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2007
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | 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 |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2004
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1999-2000
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | 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 |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1996-1997
| Tipo de inqurito: | Medido |
| Idade: | 0-5 |
| Referncias: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Notas: | Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Definies (disponvel apenas em ingls): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Atividade fsica insuficiente
Adultos, 2022
| Tipo de inqurito: | Autorreportado |
| Idade: | 18+ |
| rea abrangida: | Nacional |
| Referncias: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definies (disponvel apenas em ingls): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Homens, 2022
| Tipo de inqurito: | Autorreportado |
| Idade: | 18+ |
| rea abrangida: | Nacional |
| Referncias: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definies (disponvel apenas em ingls): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Mulheres, 2022
| Tipo de inqurito: | Autorreportado |
| Idade: | 18+ |
| rea abrangida: | Nacional |
| Referncias: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definies (disponvel apenas em ingls): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Adultos, 2016
| Referncias: | 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 |
Homens, 2016
| Referncias: | 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 |
Mulheres, 2016
| Referncias: | 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 |
Crianas, 2016
| Tipo de inqurito: | Autorreportado |
| Idade: | 11-17 |
| Referncias: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notas: | % 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. |
| Definies (disponvel apenas em ingls): | % Adolescents insufficiently active (age standardised estimate) |
Rapazes, 2016
| Tipo de inqurito: | Autorreportado |
| Idade: | 11-17 |
| Referncias: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notas: | % 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. |
| Definies (disponvel apenas em ingls): | % Adolescents insufficiently active (age standardised estimate) |
Raparigas, 2016
| Tipo de inqurito: | Autorreportado |
| Idade: | 11-17 |
| Referncias: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notas: | % 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. |
| Definies (disponvel apenas em ingls): | % Adolescents insufficiently active (age standardised estimate) |
Frequncia mdia diria de consumo de refrigerantes
Crianas, 2014-2015
| Tipo de inqurito: | Medido |
| Idade: | 12-17 |
| Referncias: | 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
Adultos, 2017
| Idade: | 25+ |
| rea abrangida: | Nacional |
| Referncias: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definies (disponvel apenas em ingls): | Estimated per capita fruit intake (g/day) |
Prevalncia inferior ao consumo dirio de fruta
Crianas, 2014
| Tipo de inqurito: | Autorreportado |
| Idade: | 12-17 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalncia inferior ao consumo dirio de vegetais
Crianas, 2014
| Tipo de inqurito: | Autorreportado |
| Idade: | 12-17 |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Frequncia semanal mdia de consumo de comida rpida
Crianas, 2014-2015
| Idade: | 12-17 |
| Referncias: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita processed meat intake
Adultos, 2017
| Idade: | 25+ |
| rea abrangida: | Nacional |
| Referncias: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definies (disponvel apenas em ingls): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adultos, 2017
| Tipo de inqurito: | Medido |
| Idade: | 25+ |
| Referncias: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definies (disponvel apenas em ingls): | Estimated per-capita whole grains intake (g/day) |
Sade mental - transtornos depressivos
Adultos, 2021
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definies (disponvel apenas em ingls): | Number living with depression per 100,000 population (adults 20+ years) |
Homens, 2021
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definies (disponvel apenas em ingls): | Number living with depression per 100,000 population (adults 20+ years) |
Mulheres, 2021
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definies (disponvel apenas em ingls): | Number living with depression per 100,000 population (adults 20+ years) |
Adultos, 2015
| Referncias: | 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. |
| Definies (disponvel apenas em ingls): | % of population with depression disorders |
Crianas, 2021
| rea abrangida: | Nacional |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definies (disponvel apenas em ingls): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Rapazes, 2021
| rea abrangida: | Nacional |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definies (disponvel apenas em ingls): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Raparigas, 2021
| rea abrangida: | Nacional |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definies (disponvel apenas em ingls): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Sade mental - transtornos de ansiedade
Adultos, 2021
| Idade: | 20+ |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definies (disponvel apenas em ingls): | Number living with anxiety per 100,000 population |
Homens, 2021
| Idade: | 20+ |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definies (disponvel apenas em ingls): | Number living with anxiety per 100,000 population |
Mulheres, 2021
| Idade: | 20+ |
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definies (disponvel apenas em ingls): | Number living with anxiety per 100,000 population |
Adultos, 2015
| Referncias: | 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. |
| Definies (disponvel apenas em ingls): | % of population with anxiety disorders |
Crianas, 2021
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Rapazes, 2021
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Raparigas, 2021
| Referncias: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% de bebs entre os 0 e 5 meses exclusivamente amamentados
0-5 years, 2015-2022
| Referncias: | Bangladesh Demographic Health Survey 2022 |
| Notas: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Adultos, 2024
| rea abrangida: | Nacional |
| Referncias: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Notas: | The percent of the population whose food budget is below the cost of a healthy diet. |
Adultos, 2022
| rea abrangida: | Nacional |
| Referncias: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Cancro do esfago
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Indicence per 100,000 |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Indicence per 100,000 |
Homens, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Cancro da mama
Mulheres, 2022
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Cancro colorretal
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Homens, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Cancro do pncreas
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Homens, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Cancro da vescula biliar
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Indicence per 100,000 |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Indicence per 100,000 |
Homens, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Cancro do rim
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Homens, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Cancro do tero
Mulheres, 2022
| Idade: | 20+ |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Mulheres, 2020
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | 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 |
| Definies (disponvel apenas em ingls): | Age-standardized indicence rates per 100 000 |
Presso arterial elevada
Adultos, 2015
| Referncias: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definies (disponvel apenas em ingls): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Homens, 2015
| Referncias: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definies (disponvel apenas em ingls): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mulheres, 2015
| Referncias: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definies (disponvel apenas em ingls): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Colesterol elevado
Adultos, 2008
| Referncias: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definies (disponvel apenas em ingls): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Homens, 2008
| Referncias: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definies (disponvel apenas em ingls): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mulheres, 2008
| Referncias: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definies (disponvel apenas em ingls): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Glicose no sangue elevada em jejum
Homens, 2014
| Referncias: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definies (disponvel apenas em ingls): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Mulheres, 2014
| Referncias: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definies (disponvel apenas em ingls): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalncia de diabetes
Adultos, 2024
| Referncias: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Adultos, 2021
| Idade: | 20-79 |
| rea abrangida: | Nacional |
| Referncias: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Definies (disponvel apenas em ingls): | Age-adjusted comparative prevalence of diabetes, % |
Adultos, 2019
| Idade: | 20-79 |
| Referncias: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definies (disponvel apenas em ingls): | Diabetes age-adjusted comparative prevalence (%). |
Adultos, 2017
| Referncias: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definies (disponvel apenas em ingls): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Mulheres, 2022
| Idade: | 20+ |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Leukemia
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Liver and intrahepatic bile duct Cancer
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Multiple Myeloma
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Indicence per 100,000 |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Indicence per 100,000 |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Non Hodgkin Lymphoma
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
| Salvo indicao em contrrio, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m, a obesidade refere-se a um IMC superior a 30 kg/m. | |
Thyroid Cancer
Homens, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Mulheres, 2022
| Idade: | 20+ |
| rea abrangida: | Nacional |
| Referncias: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definies (disponvel apenas em ingls): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Incoming |
| Mandatory limit of trans fats in place (all settings)? | Incoming |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Absent |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Absent |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions
