Bangladesh
- Overzicht
- Obesitasprevalentie
- Trends na verloop van tijd
- Verdeling van de bevolking
- Chauffeurs
- Comorbiditeiten
- Economische effecten
- Beleid (alleen beschikbaar in het Engels)
- Contextual factors
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Nationaal risico op obesitas *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.Risico op obesitas bij kinderen *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).
Obesitasprevalentie
Trends na verloop van tijd
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Chauffeurs
Onvoldoende activiteit
Consumptie van frisdrank
Fruitconsumptie
Groenteconsumptie
Consumptie van fast food
Consumptie verwerkt vlees
Graanverbruik
Depressie
Angst
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Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Borstvoeding
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Comorbiditeiten
Economische effecten
Beleid (alleen beschikbaar in het Engels)
Contextual factors
Obesitasprevalentie
Volwassenen, 2018
Type onderzoek: | Gemeten |
Leeftijd: | 18-69 |
Monstergrootte: | 7985 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Volwassenen, 2017-2018
Type onderzoek: | Gemeten |
Monstergrootte: | 23861 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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) |
Notities (alleen beschikbaar in het Engels): | 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. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2014
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 16478 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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) |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Volwassenen, 2011
Type onderzoek: | Gemeten |
Monstergrootte: | 17416 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2007
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 10021 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Other married women 15 - 49 years. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 1995-1996
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 3997 |
Referenties: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Notities (alleen beschikbaar in het Engels): | 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 |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Kinderen, 2018-2019
Type onderzoek: | Gemeten |
Leeftijd: | 10-19 |
Monstergrootte: | 9772 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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 |
Kinderen, 2014
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 13-17 |
Monstergrootte: | 2989 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Kinderen, 2009
Type onderzoek: | Gemeten |
Leeftijd: | 6-15 |
Monstergrootte: | 10135 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Z score BMI cut-offs used |
Cutoffs: | WHO |
Infants, 2019
Leeftijd: | 0-5 |
Monstergrootte: | 22011 |
Referenties: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Meisjes, 2019
Leeftijd: | 0-5 |
Monstergrootte: | 22012 |
Referenties: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2018-2019
Leeftijd: | 0-5 |
Referenties: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2017-2018
Leeftijd: | 0-5 |
Monstergrootte: | 8113 |
Referenties: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2015
Leeftijd: | 0-5 |
Referenties: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2014
Leeftijd: | 0-5 |
Monstergrootte: | 7369 |
Referenties: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2013
Leeftijd: | 0-5 |
Monstergrootte: | 4029 |
Referenties: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2012-2013
Leeftijd: | 0-5 |
Monstergrootte: | 19640 |
Referenties: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2011
Leeftijd: | 0-5 |
Monstergrootte: | 7944 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2011-2012
Leeftijd: | 0-5 |
Referenties: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2007
Leeftijd: | 0-5 |
Monstergrootte: | 5344 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2006
Leeftijd: | 0-5 |
Monstergrootte: | 24302 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2005
Leeftijd: | 0-5 |
Monstergrootte: | 74758 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2004
Leeftijd: | 0-5 |
Monstergrootte: | 6083 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2003
Leeftijd: | 0-5 |
Monstergrootte: | 86999 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2002
Leeftijd: | 0-5 |
Monstergrootte: | 53315 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2001
Leeftijd: | 0-5 |
Monstergrootte: | 63444 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1999
Leeftijd: | 0-5 |
Monstergrootte: | 49374 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1999-1900
Leeftijd: | 0-5 |
Monstergrootte: | 5490 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1998
Leeftijd: | 0-5 |
Monstergrootte: | 49496 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1996
Leeftijd: | 0-5 |
Monstergrootte: | 81067 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1996-1997
Leeftijd: | 0-5 |
Monstergrootte: | 4880 |
Referenties: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1995
Leeftijd: | 0-5 |
Monstergrootte: | 87051 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1994
Leeftijd: | 0-5 |
Monstergrootte: | 63753 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1993
Leeftijd: | 0-5 |
Monstergrootte: | 42826 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1992
Leeftijd: | 0-5 |
Monstergrootte: | 36997 |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1991
Leeftijd: | 0-5 |
Monstergrootte: | 32493 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1989-1990
Leeftijd: | 0-5 |
Monstergrootte: | 1914 |
Referenties: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1985-1986
Leeftijd: | 0-5 |
Monstergrootte: | 2675 |
Referenties: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Type onderzoek: | Gemeten |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². | |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Type onderzoek: | Gemeten |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². | |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, geselecteerde landen
Mannen
Referenties: | 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) |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
Vrouwen
Referenties: | 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) |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
Overgewicht/obesitas, naar opleiding
Volwassenen, 2018
Type onderzoek: | Gemeten |
Leeftijd: | 18-69 |
Monstergrootte: | 7985 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2017-2018
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 18328 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Mannen, 2017-2018
Type onderzoek: | Gemeten |
Leeftijd: | 18+ |
Monstergrootte: | 5533 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2014
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 16478 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Meisjes, 2014
Type onderzoek: | Gemeten |
Leeftijd: | 15-19 |
Monstergrootte: | 1188 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Definities (alleen beschikbaar in het Engels): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
Monstergrootte: | 22011 |
Referenties: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2017-2018
Monstergrootte: | 8113 |
Referenties: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2014
Monstergrootte: | 7369 |
Referenties: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2012-2013
Monstergrootte: | 19640 |
Referenties: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2011
Monstergrootte: | 7944 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2007
Monstergrootte: | 5344 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2004
Monstergrootte: | 6083 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1999-1900
Monstergrootte: | 5490 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1996-1997
Monstergrootte: | 4880 |
Referenties: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Overgewicht / obesitas, naar leeftijd
Volwassenen, 2018
Type onderzoek: | Gemeten |
Monstergrootte: | 7985 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2017-2018
Type onderzoek: | Gemeten |
Monstergrootte: | 18328 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Mannen, 2017-2018
Type onderzoek: | Gemeten |
Monstergrootte: | 5533 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2014
Type onderzoek: | Gemeten |
Monstergrootte: | 16478 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Kinderen, 2018-2019
Type onderzoek: | Gemeten |
Monstergrootte: | 9772 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Overgewicht / obesitas, per regio
Volwassenen, 2018
Type onderzoek: | Gemeten |
Leeftijd: | 18-69 |
Monstergrootte: | 7985 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2017-2018
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 18328 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Mannen, 2017-2018
Type onderzoek: | Gemeten |
Leeftijd: | 18+ |
Monstergrootte: | 5533 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2014
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 16478 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2014
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 16478 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Jongens, 2018-2019
Type onderzoek: | Gemeten |
Leeftijd: | 10-19 |
Monstergrootte: | 9772 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Meisjes, 2018-2019
Type onderzoek: | Gemeten |
Leeftijd: | 10-19 |
Monstergrootte: | 9772 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Jongens, 2009
Type onderzoek: | Gemeten |
Leeftijd: | 6-15 |
Monstergrootte: | 10135 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Z score cut-offs used |
Cutoffs: | Other |
Meisjes, 2009
Type onderzoek: | Gemeten |
Leeftijd: | 6-15 |
Monstergrootte: | 10135 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | Z score cut-offs used |
Cutoffs: | Other |
Infants, 2019
Monstergrootte: | 22011 |
Referenties: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2017-2018
Monstergrootte: | 8113 |
Referenties: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2014
Monstergrootte: | 7369 |
Referenties: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2013
Monstergrootte: | 4029 |
Referenties: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2012-2013
Monstergrootte: | 19640 |
Referenties: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2011
Monstergrootte: | 7944 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2007
Monstergrootte: | 5344 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2004
Monstergrootte: | 6083 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1999-1900
Monstergrootte: | 5490 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1996-1997
Monstergrootte: | 4880 |
Referenties: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Overgewicht/obesitas, naar socio-economische groep
Volwassenen, 2018
Type onderzoek: | Gemeten |
Leeftijd: | 18-69 |
Monstergrootte: | 7985 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2017-2018
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 18328 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Mannen, 2017-2018
Type onderzoek: | Gemeten |
Leeftijd: | 18+ |
Monstergrootte: | 5533 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Vrouwen, 2014
Type onderzoek: | Gemeten |
Leeftijd: | 15-49 |
Monstergrootte: | 16478 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Jongens, 2018-2019
Type onderzoek: | Gemeten |
Leeftijd: | 10-19 |
Monstergrootte: | 9772 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Meisjes, 2018-2019
Type onderzoek: | Gemeten |
Leeftijd: | 10-19 |
Monstergrootte: | 9772 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Notities (alleen beschikbaar in het Engels): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Infants, 2019
Monstergrootte: | 22011 |
Referenties: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2017-2018
Monstergrootte: | 8113 |
Referenties: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2014
Monstergrootte: | 7369 |
Referenties: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2013
Monstergrootte: | 4029 |
Referenties: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2012-2013
Monstergrootte: | 19640 |
Referenties: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2011
Monstergrootte: | 7944 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2007
Monstergrootte: | 5344 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2004
Monstergrootte: | 6083 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1999-1900
Monstergrootte: | 5490 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 1996-1997
Monstergrootte: | 4880 |
Referenties: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Onvoldoende lichaamsbeweging
Volwassenen, 2016
Referenties: | 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 |
Mannen, 2016
Referenties: | 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 |
Vrouwen, 2016
Referenties: | 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 |
Kinderen, 2016
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Jongens, 2016
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Meisjes, 2016
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Gemiddelde dagelijkse consumptie van koolzuurhoudende frisdranken
Kinderen, 2014-2015
Type onderzoek: | Gemeten |
Leeftijd: | 12-17 |
Referenties: | 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
Volwassenen, 2017
Type onderzoek: | Gemeten |
Leeftijd: | 25+ |
Referenties: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definities (alleen beschikbaar in het Engels): | Estimated per-capita fruit intake (g/day) |
Prevalentie van minder dan dagelijkse fruitconsumptie
Kinderen, 2008-2015
Type onderzoek: | Gemeten |
Leeftijd: | 12-17 |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalentie van minder dan dagelijkse groenteconsumptie
Kinderen, 2008-2015
Type onderzoek: | Gemeten |
Leeftijd: | 12-17 |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Gemiddelde wekelijkse consumptie van fastfood
Kinderen, 2014-2015
Leeftijd: | 12-17 |
Referenties: | 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 |
Geschatte consumptie van verwerkt vlees per capita
Volwassenen, 2017
Type onderzoek: | Gemeten |
Leeftijd: | 25+ |
Referenties: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definities (alleen beschikbaar in het Engels): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Volwassenen, 2017
Type onderzoek: | Gemeten |
Leeftijd: | 25+ |
Referenties: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definities (alleen beschikbaar in het Engels): | Estimated per-capita whole grains intake (g/day) |
Geestelijke gezondheid - depressiestoornissen
Volwassenen, 2015
Referenties: | 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. |
Definities (alleen beschikbaar in het Engels): | % of population with depression disorders |
Geestelijke gezondheid - angststoornissen
Volwassenen, 2015
Referenties: | 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. |
Definities (alleen beschikbaar in het Engels): | % of population with anxiety disorders |
% Zuigelingen die uitsluitend borstvoeding krijgen 0-5 maanden
Infants, 2015-2022
Referenties: | Bangladesh Demographic Health Survey 2022 |
Notities (alleen beschikbaar in het Engels): | 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. |
Slokdarmkanker
Mannen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Indicence per 100,000 |
Vrouwen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Indicence per 100,000 |
Mannen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Vrouwen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Borstkanker
Vrouwen, 2022
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Incidence per 100,000 |
Darmkanker
Mannen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Incidence per 100,000 |
Vrouwen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Incidence per 100,000 |
Mannen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Vrouwen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Alvleesklierkanker
Mannen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Incidence per 100,000 |
Vrouwen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Incidence per 100,000 |
Mannen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Vrouwen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Galblaaskanker
Mannen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Indicence per 100,000 |
Vrouwen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Indicence per 100,000 |
Mannen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Vrouwen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Nierkanker
Mannen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Incidence per 100,000 |
Vrouwen, 2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Incidence per 100,000 |
Mannen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Vrouwen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Baarmoederkanker
Vrouwen, 2022
Leeftijd: | 20+ |
Referenties: | 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] |
Definities (alleen beschikbaar in het Engels): | Incidence per 100,000 |
Vrouwen, 2020-2022
Leeftijd: | 20+ |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Age-standardized indicence rates per 100 000 |
Verhoogde bloeddruk
Volwassenen, 2015
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mannen, 2015
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vrouwen, 2015
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Verhoogd cholesterol
Volwassenen, 2008
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definities (alleen beschikbaar in het Engels): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mannen, 2008
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definities (alleen beschikbaar in het Engels): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vrouwen, 2008
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definities (alleen beschikbaar in het Engels): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Verhoogde nuchtere bloedglucose
Mannen, 2014
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Vrouwen, 2014
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetesprevalentie
Volwassenen, 2021
Leeftijd: | 20-79 |
In aanmerking komend gebied: | Nationaal |
Referenties: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definities (alleen beschikbaar in het Engels): | Age-adjusted comparative prevalence of diabetes, % |
Volwassenen, 2019
Leeftijd: | 20-79 |
Referenties: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definities (alleen beschikbaar in het Engels): | Diabetes age-adjusted comparative prevalence (%). |
Volwassenen, 2017
Referenties: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definities (alleen beschikbaar in het Engels): | 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