Bangladeche
- Visão geral
- Prevalência de obesidade
- Tendências ao longo do tempo
- Discriminação da população
- Condutores
- Comorbidades
- Impacto económico
- Políticas (disponível apenas em inglês)
- Contextual factors
A carregar dados, aguarde
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 country’s 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).
Prevalência de obesidade
Tendências ao longo do tempo
Transferir ficha de relatório
A ficha de relatório reúne todos os gráficos mais recentes para este país. Se desejar produzir um relatório personalizado com base em gráficos selecionados, basta tocar no botão Adicionar a PDF personalizado abaixo dos gráficos que desejar usar.Discriminação da população
Condutores
Atividade insuficiente
Consumo de refrigerantes
Consumo de fruta
Consumo de vegetais
Consumo de comida rápida
Consumo de carne processada
Consumo de cereais
Depressão
Ansiedade
Raízes da obesidade »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Amamentar
Transferir ficha de relatório
Comorbidades
Impacto económico
Políticas (disponível apenas em inglês)
Contextual factors
Prevalência de obesidade
Adultos, 2018
Tipo de inquérito: | Medido |
Idade: | 18-69 |
Tamanho da amostra: | 7985 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Adultos, 2017-2018
Tipo de inquérito: | Medido |
Tamanho da amostra: | 23861 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2014
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 16478 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Adultos, 2011
Tipo de inquérito: | Medido |
Tamanho da amostra: | 17416 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2007
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 10021 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 1995-1996
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 3997 |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Crianças, 2018-2019
Tipo de inquérito: | Medido |
Idade: | 10-19 |
Tamanho da amostra: | 9772 |
Área abrangida: | Nacional |
Referências: | 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 |
Crianças, 2014
Tipo de inquérito: | Autorreportado |
Idade: | 13-17 |
Tamanho da amostra: | 2989 |
Área abrangida: | Nacional |
Referências: | 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 |
Crianças, 2009
Tipo de inquérito: | Medido |
Idade: | 6-15 |
Tamanho da amostra: | 10135 |
Área abrangida: | Nacional |
Referências: | 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 |
Infants, 2019
Idade: | 0-5 |
Tamanho da amostra: | 22011 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Raparigas, 2019
Idade: | 0-5 |
Tamanho da amostra: | 22012 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2018-2019
Idade: | 0-5 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2017-2018
Idade: | 0-5 |
Tamanho da amostra: | 8113 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2015
Idade: | 0-5 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2014
Idade: | 0-5 |
Tamanho da amostra: | 7369 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2013
Idade: | 0-5 |
Tamanho da amostra: | 4029 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2012-2013
Idade: | 0-5 |
Tamanho da amostra: | 19640 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2011
Idade: | 0-5 |
Tamanho da amostra: | 7944 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2011-2012
Idade: | 0-5 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2007
Idade: | 0-5 |
Tamanho da amostra: | 5344 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2006
Idade: | 0-5 |
Tamanho da amostra: | 24302 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2005
Idade: | 0-5 |
Tamanho da amostra: | 74758 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2004
Idade: | 0-5 |
Tamanho da amostra: | 6083 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2003
Idade: | 0-5 |
Tamanho da amostra: | 86999 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2002
Idade: | 0-5 |
Tamanho da amostra: | 53315 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2001
Idade: | 0-5 |
Tamanho da amostra: | 63444 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1999
Idade: | 0-5 |
Tamanho da amostra: | 49374 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1999-1900
Idade: | 0-5 |
Tamanho da amostra: | 5490 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1998
Idade: | 0-5 |
Tamanho da amostra: | 49496 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1996
Idade: | 0-5 |
Tamanho da amostra: | 81067 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1996-1997
Idade: | 0-5 |
Tamanho da amostra: | 4880 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1995
Idade: | 0-5 |
Tamanho da amostra: | 87051 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1994
Idade: | 0-5 |
Tamanho da amostra: | 63753 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1993
Idade: | 0-5 |
Tamanho da amostra: | 42826 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1992
Idade: | 0-5 |
Tamanho da amostra: | 36997 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1991
Idade: | 0-5 |
Tamanho da amostra: | 32493 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1989-1990
Idade: | 0-5 |
Tamanho da amostra: | 1914 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1985-1986
Idade: | 0-5 |
Tamanho da amostra: | 2675 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Tipo de inquérito: | Medido |
Referências: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
Salvo indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². | |
Diferentes metodologias podem ter sido usadas para recolher estes dados e, portanto, os dados de diferentes inquéritos podem não ser estritamente comparáveis. Verifique as fontes de dados originais para as metodologias utilizadas |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Tipo de inquérito: | Medido |
Referências: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
Salvo indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². | |
Diferentes metodologias podem ter sido usadas para recolher estes dados e, portanto, os dados de diferentes inquéritos podem não ser estritamente comparáveis. Verifique as fontes de dados originais para as metodologias utilizadas |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, países selecionados
Homens
Referências: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: 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, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: 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: 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. 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: 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. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: 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/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 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 Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Diferentes metodologias podem ter sido usadas para recolher estes dados e, portanto, os dados de diferentes inquéritos podem não ser estritamente comparáveis. Verifique as fontes de dados originais para as metodologias utilizadas |
Mulheres
Referências: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: 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, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: 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: 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. 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: 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. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: 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/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 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 Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Diferentes metodologias podem ter sido usadas para recolher estes dados e, portanto, os dados de diferentes inquéritos podem não ser estritamente comparáveis. Verifique as fontes de dados originais para as metodologias utilizadas |
Excesso de peso/obesidade por educação
Adultos, 2018
Tipo de inquérito: | Medido |
Idade: | 18-69 |
Tamanho da amostra: | 7985 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2017-2018
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 18328 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Homens, 2017-2018
Tipo de inquérito: | Medido |
Idade: | 18+ |
Tamanho da amostra: | 5533 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2014
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 16478 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Raparigas, 2014
Tipo de inquérito: | Medido |
Idade: | 15-19 |
Tamanho da amostra: | 1188 |
Área abrangida: | Nacional |
Referências: | 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. |
Definições (disponível apenas em inglês): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
Tamanho da amostra: | 22011 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2017-2018
Tamanho da amostra: | 8113 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2014
Tamanho da amostra: | 7369 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2012-2013
Tamanho da amostra: | 19640 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2011
Tamanho da amostra: | 7944 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2007
Tamanho da amostra: | 5344 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2004
Tamanho da amostra: | 6083 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1999-1900
Tamanho da amostra: | 5490 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1996-1997
Tamanho da amostra: | 4880 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Excesso de peso/obesidade por idade
Adultos, 2018
Tipo de inquérito: | Medido |
Tamanho da amostra: | 7985 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2017-2018
Tipo de inquérito: | Medido |
Tamanho da amostra: | 18328 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Homens, 2017-2018
Tipo de inquérito: | Medido |
Tamanho da amostra: | 5533 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2014
Tipo de inquérito: | Medido |
Tamanho da amostra: | 16478 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Crianças, 2018-2019
Tipo de inquérito: | Medido |
Tamanho da amostra: | 9772 |
Área abrangida: | Nacional |
Referências: | 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 região
Adultos, 2018
Tipo de inquérito: | Medido |
Idade: | 18-69 |
Tamanho da amostra: | 7985 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2017-2018
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 18328 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Homens, 2017-2018
Tipo de inquérito: | Medido |
Idade: | 18+ |
Tamanho da amostra: | 5533 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2014
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 16478 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2014
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 16478 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Rapazes, 2018-2019
Tipo de inquérito: | Medido |
Idade: | 10-19 |
Tamanho da amostra: | 9772 |
Área abrangida: | Nacional |
Referências: | 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 inquérito: | Medido |
Idade: | 10-19 |
Tamanho da amostra: | 9772 |
Área abrangida: | Nacional |
Referências: | 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 inquérito: | Medido |
Idade: | 6-15 |
Tamanho da amostra: | 10135 |
Área abrangida: | Nacional |
Referências: | 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 inquérito: | Medido |
Idade: | 6-15 |
Tamanho da amostra: | 10135 |
Área abrangida: | Nacional |
Referências: | 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 |
Infants, 2019
Tamanho da amostra: | 22011 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2017-2018
Tamanho da amostra: | 8113 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2014
Tamanho da amostra: | 7369 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2013
Tamanho da amostra: | 4029 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2012-2013
Tamanho da amostra: | 19640 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2011
Tamanho da amostra: | 7944 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2007
Tamanho da amostra: | 5344 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2004
Tamanho da amostra: | 6083 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1999-1900
Tamanho da amostra: | 5490 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1996-1997
Tamanho da amostra: | 4880 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Excesso de peso/obesidade por grupo socioeconómico
Adultos, 2018
Tipo de inquérito: | Medido |
Idade: | 18-69 |
Tamanho da amostra: | 7985 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2017-2018
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 18328 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Homens, 2017-2018
Tipo de inquérito: | Medido |
Idade: | 18+ |
Tamanho da amostra: | 5533 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Mulheres, 2014
Tipo de inquérito: | Medido |
Idade: | 15-49 |
Tamanho da amostra: | 16478 |
Área abrangida: | Nacional |
Referências: | 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 indicação em contrário, o excesso de peso refere-se a um IMC entre 25 kg e 29,9 kg/m², a obesidade refere-se a um IMC superior a 30 kg/m². |
Rapazes, 2018-2019
Tipo de inquérito: | Medido |
Idade: | 10-19 |
Tamanho da amostra: | 9772 |
Área abrangida: | Nacional |
Referências: | 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 inquérito: | Medido |
Idade: | 10-19 |
Tamanho da amostra: | 9772 |
Área abrangida: | Nacional |
Referências: | 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 |
Infants, 2019
Tamanho da amostra: | 22011 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2017-2018
Tamanho da amostra: | 8113 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2014
Tamanho da amostra: | 7369 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2013
Tamanho da amostra: | 4029 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2012-2013
Tamanho da amostra: | 19640 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2011
Tamanho da amostra: | 7944 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2007
Tamanho da amostra: | 5344 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 2004
Tamanho da amostra: | 6083 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1999-1900
Tamanho da amostra: | 5490 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Infants, 1996-1997
Tamanho da amostra: | 4880 |
Referências: | 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. |
Definições (disponível apenas em inglês): | =>+2SD |
Atividade física insuficiente
Adultos, 2016
Referências: | 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
Referências: | 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
Referências: | 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 |
Crianças, 2016
Tipo de inquérito: | Autorreportado |
Idade: | 11-17 |
Referências: | 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. |
Definições (disponível apenas em inglês): | % Adolescents insufficiently active (age standardised estimate) |
Rapazes, 2016
Tipo de inquérito: | Autorreportado |
Idade: | 11-17 |
Referências: | 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. |
Definições (disponível apenas em inglês): | % Adolescents insufficiently active (age standardised estimate) |
Raparigas, 2016
Tipo de inquérito: | Autorreportado |
Idade: | 11-17 |
Referências: | 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. |
Definições (disponível apenas em inglês): | % Adolescents insufficiently active (age standardised estimate) |
Frequência média diária de consumo de refrigerantes
Crianças, 2014-2015
Tipo de inquérito: | Medido |
Idade: | 12-17 |
Referências: | 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
Tipo de inquérito: | Medido |
Idade: | 25+ |
Referências: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definições (disponível apenas em inglês): | Estimated per-capita fruit intake (g/day) |
Prevalência inferior ao consumo diário de fruta
Crianças, 2008-2015
Tipo de inquérito: | Medido |
Idade: | 12-17 |
Referências: | 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 |
Definições (disponível apenas em inglês): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalência inferior ao consumo diário de vegetais
Crianças, 2008-2015
Tipo de inquérito: | Medido |
Idade: | 12-17 |
Referências: | 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 |
Definições (disponível apenas em inglês): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Frequência semanal média de consumo de comida rápida
Crianças, 2014-2015
Idade: | 12-17 |
Referências: | 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 |
Estimativa de ingestão de carne processada per capita
Adultos, 2017
Tipo de inquérito: | Medido |
Idade: | 25+ |
Referências: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definições (disponível apenas em inglês): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adultos, 2017
Tipo de inquérito: | Medido |
Idade: | 25+ |
Referências: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definições (disponível apenas em inglês): | Estimated per-capita whole grains intake (g/day) |
Saúde mental - transtornos depressivos
Adultos, 2015
Referências: | 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. |
Definições (disponível apenas em inglês): | % of population with depression disorders |
Saúde mental - transtornos de ansiedade
Adultos, 2015
Referências: | 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. |
Definições (disponível apenas em inglês): | % of population with anxiety disorders |
% de bebés entre os 0 e 5 meses exclusivamente amamentados
Infants, 2015-2022
Referências: | 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. |
Cancro do esófago
Homens, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Indicence per 100,000 |
Mulheres, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Indicence per 100,000 |
Homens, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Cancro da mama
Mulheres, 2022
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Incidence per 100,000 |
Cancro colorretal
Homens, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Incidence per 100,000 |
Mulheres, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Incidence per 100,000 |
Homens, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Cancro do pâncreas
Homens, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Incidence per 100,000 |
Mulheres, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Incidence per 100,000 |
Homens, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Cancro da vesícula biliar
Homens, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Indicence per 100,000 |
Mulheres, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Indicence per 100,000 |
Homens, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Cancro do rim
Homens, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Incidence per 100,000 |
Mulheres, 2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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] |
Definições (disponível apenas em inglês): | Incidence per 100,000 |
Homens, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Mulheres, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Cancro do útero
Mulheres, 2022
Idade: | 20+ |
Referências: | 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] |
Definições (disponível apenas em inglês): | Incidence per 100,000 |
Mulheres, 2020-2022
Idade: | 20+ |
Área abrangida: | Nacional |
Referências: | 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 |
Definições (disponível apenas em inglês): | Age-standardized indicence rates per 100 000 |
Pressão arterial elevada
Adultos, 2015
Referências: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definições (disponível apenas em inglês): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Homens, 2015
Referências: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definições (disponível apenas em inglês): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mulheres, 2015
Referências: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definições (disponível apenas em inglês): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Colesterol elevado
Adultos, 2008
Referências: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definições (disponível apenas em inglês): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Homens, 2008
Referências: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definições (disponível apenas em inglês): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mulheres, 2008
Referências: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definições (disponível apenas em inglês): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Glicose no sangue elevada em jejum
Homens, 2014
Referências: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definições (disponível apenas em inglês): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Mulheres, 2014
Referências: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definições (disponível apenas em inglês): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalência de diabetes
Adultos, 2021
Idade: | 20-79 |
Área abrangida: | Nacional |
Referências: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definições (disponível apenas em inglês): | Age-adjusted comparative prevalence of diabetes, % |
Adultos, 2019
Idade: | 20-79 |
Referências: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definições (disponível apenas em inglês): | Diabetes age-adjusted comparative prevalence (%). |
Adultos, 2017
Referências: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definições (disponível apenas em inglês): | Diabetes age-adjusted comparative prevalence (%). |
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 |
Guidelines/policy on obesity treatment? | Absent |
Promotion of breastfeeding? | Absent |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions