Bangladesh
Lower-middle income
- Översikt
- Förekomst av fetma
- Trender över tid
- Befolkningsfördelningar
- Drivande faktorer
- Komorbiditeter
- Ekonomisk påverkan
- Policyer (endast tillgängliga på engelska)
- Contextual factors
Laddar data – vänligen vänta...
Nationell fetmarisk *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.Risk vid fetma hos barn *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).
Förekomst av fetma
Trender över tid
Ladda ner rapportkort
Rapportkortet samlar all den senaste grafiken för detta land. Om du vill skapa en anpassad rapport baserad på vald grafik trycker du bara på knappen Lägg till i anpassad PDF under den grafik du vill använda.Befolkningsfördelningar
Drivande faktorer
Otillräcklig aktivitet
Intag av läskedryck
Fruktkonsumtion
Grönsakskonsumtion
Konsumtion av snabbmat
Konsumtion av förädlat kött
Konsumtion av spannmål
Depression
Ångest
Rötter till fetma »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Amning
Ladda ner rapportkort
Komorbiditeter
Esofageal cancer
Bröstcancer
Kolorektalcancer
Pankreascancer
Gallblåsecancer
Njurcancer
Livmoderhalscancer
Förhöjt blodtryck
Förhöjt kolesterol
Förhöjt fastande blodglukos
Förekomst av diabetes
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Ladda ner rapportkort
Ekonomisk påverkan
Policyer (endast tillgängliga på engelska)
Contextual factors
Förekomst av fetma
Vuxna, 2018
Undersökningstyp: | Uppmätt |
Ålder: | 18-69 |
Urvalsstorlek: | 7985 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2017-2018
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 23861 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Anteckningar: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 16478 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2011
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 17416 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2007
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 10021 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Other married women 15 - 49 years. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 1995-1996
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 3997 |
Referenser: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Anteckningar: | 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 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2019-2020
Undersökningstyp: | Uppmätt |
Ålder: | 15-19 |
Urvalsstorlek: | 9128 |
Område som omfattas: | Nationell |
Referenser: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
Anteckningar: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
Cutoffs: | WHO |
Barn, 2018-2019
Undersökningstyp: | Uppmätt |
Ålder: | 10-19 |
Urvalsstorlek: | 9772 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 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 |
Barn, 2014
Undersökningstyp: | Egenanställd |
Ålder: | 13-17 |
Urvalsstorlek: | 2989 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Barn, 2009
Undersökningstyp: | Uppmätt |
Ålder: | 6-15 |
Urvalsstorlek: | 10135 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Z score BMI cut-offs used |
Cutoffs: | WHO |
Infants, 2019
Ålder: | 0-5 |
Urvalsstorlek: | 22011 |
Referenser: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2018-2019
Ålder: | 0-5 |
Referenser: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2017-2018
Ålder: | 0-5 |
Urvalsstorlek: | 8113 |
Referenser: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2015
Ålder: | 0-5 |
Referenser: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2014
Ålder: | 0-5 |
Urvalsstorlek: | 7369 |
Referenser: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2013
Ålder: | 0-5 |
Urvalsstorlek: | 4029 |
Referenser: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2012-2013
Ålder: | 0-5 |
Urvalsstorlek: | 19640 |
Referenser: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2011
Ålder: | 0-5 |
Urvalsstorlek: | 7944 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2011-2012
Ålder: | 0-5 |
Referenser: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2007
Ålder: | 0-5 |
Urvalsstorlek: | 5344 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2006
Ålder: | 0-5 |
Urvalsstorlek: | 24302 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2005
Ålder: | 0-5 |
Urvalsstorlek: | 74758 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2004
Ålder: | 0-5 |
Urvalsstorlek: | 6083 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2003
Ålder: | 0-5 |
Urvalsstorlek: | 86999 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2002
Ålder: | 0-5 |
Urvalsstorlek: | 53315 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2001
Ålder: | 0-5 |
Urvalsstorlek: | 63444 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1999
Ålder: | 0-5 |
Urvalsstorlek: | 49374 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1999-1900
Ålder: | 0-5 |
Urvalsstorlek: | 5490 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1998
Ålder: | 0-5 |
Urvalsstorlek: | 49496 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1996
Ålder: | 0-5 |
Urvalsstorlek: | 81067 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1996-1997
Ålder: | 0-5 |
Urvalsstorlek: | 4880 |
Referenser: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1995
Ålder: | 0-5 |
Urvalsstorlek: | 87051 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1994
Ålder: | 0-5 |
Urvalsstorlek: | 63753 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1993
Ålder: | 0-5 |
Urvalsstorlek: | 42826 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1992
Ålder: | 0-5 |
Urvalsstorlek: | 36997 |
Referenser: | 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. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1991
Ålder: | 0-5 |
Urvalsstorlek: | 32493 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1989-1990
Ålder: | 0-5 |
Urvalsstorlek: | 1914 |
Referenser: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1985-1986
Ålder: | 0-5 |
Urvalsstorlek: | 2675 |
Referenser: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Undersökningstyp: | Uppmätt |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². | |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Undersökningstyp: | Uppmätt |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². | |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, valda länder
Män
Referenser: | 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) |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
Kvinnor
Referenser: | 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) |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
Övervikt/fetma efter ålder och utbildning
Vuxna, 2018
Undersökningstyp: | Uppmätt |
Ålder: | 18-69 |
Urvalsstorlek: | 7985 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2017-2018
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 18328 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2017-2018
Undersökningstyp: | Uppmätt |
Ålder: | 18+ |
Urvalsstorlek: | 5533 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 16478 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Flickor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-19 |
Urvalsstorlek: | 1188 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
Urvalsstorlek: | 22011 |
Referenser: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2017-2018
Urvalsstorlek: | 8113 |
Referenser: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2014
Urvalsstorlek: | 7369 |
Referenser: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2012-2013
Urvalsstorlek: | 19640 |
Referenser: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2011
Urvalsstorlek: | 7944 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2007
Urvalsstorlek: | 5344 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2004
Urvalsstorlek: | 6083 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1999-1900
Urvalsstorlek: | 5490 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1996-1997
Urvalsstorlek: | 4880 |
Referenser: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Övervikt/fetma efter ålder
Vuxna, 2018
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 7985 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2017-2018
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 18328 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2017-2018
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 5533 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 16478 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2019-2020
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 9128 |
Område som omfattas: | Nationell |
Referenser: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
Anteckningar: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
Cutoffs: | WHO |
Barn, 2018-2019
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 9772 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Övervikt/fetma efter ålder och region
Vuxna, 2018
Undersökningstyp: | Uppmätt |
Ålder: | 18-69 |
Urvalsstorlek: | 7985 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2017-2018
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 18328 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2017-2018
Undersökningstyp: | Uppmätt |
Ålder: | 18+ |
Urvalsstorlek: | 5533 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 16478 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 16478 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2019-2020
Undersökningstyp: | Uppmätt |
Ålder: | 15-19 |
Urvalsstorlek: | 9128 |
Område som omfattas: | Nationell |
Referenser: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
Anteckningar: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
Cutoffs: | WHO |
Pojkar, 2018-2019
Undersökningstyp: | Uppmätt |
Ålder: | 10-19 |
Urvalsstorlek: | 9772 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Flickor, 2018-2019
Undersökningstyp: | Uppmätt |
Ålder: | 10-19 |
Urvalsstorlek: | 9772 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Pojkar, 2009
Undersökningstyp: | Uppmätt |
Ålder: | 6-15 |
Urvalsstorlek: | 10135 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Z score cut-offs used |
Cutoffs: | Other |
Flickor, 2009
Undersökningstyp: | Uppmätt |
Ålder: | 6-15 |
Urvalsstorlek: | 10135 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Z score cut-offs used |
Cutoffs: | Other |
Infants, 2019
Urvalsstorlek: | 22011 |
Referenser: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2017-2018
Urvalsstorlek: | 8113 |
Referenser: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2014
Urvalsstorlek: | 7369 |
Referenser: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2013
Urvalsstorlek: | 4029 |
Referenser: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2012-2013
Urvalsstorlek: | 19640 |
Referenser: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2011
Urvalsstorlek: | 7944 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2007
Urvalsstorlek: | 5344 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2004
Urvalsstorlek: | 6083 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1999-1900
Urvalsstorlek: | 5490 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1996-1997
Urvalsstorlek: | 4880 |
Referenser: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Övervikt/fetma efter ålder och socioekonomisk grupp
Vuxna, 2018
Undersökningstyp: | Uppmätt |
Ålder: | 18-69 |
Urvalsstorlek: | 7985 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2017-2018
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 18328 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2017-2018
Undersökningstyp: | Uppmätt |
Ålder: | 18+ |
Urvalsstorlek: | 5533 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 16478 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2019-2020
Undersökningstyp: | Uppmätt |
Ålder: | 15-19 |
Urvalsstorlek: | 9128 |
Område som omfattas: | Nationell |
Referenser: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
Anteckningar: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
Cutoffs: | WHO |
Pojkar, 2018-2019
Undersökningstyp: | Uppmätt |
Ålder: | 10-19 |
Urvalsstorlek: | 9772 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Flickor, 2018-2019
Undersökningstyp: | Uppmätt |
Ålder: | 10-19 |
Urvalsstorlek: | 9772 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Infants, 2019
Urvalsstorlek: | 22011 |
Referenser: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2017-2018
Urvalsstorlek: | 8113 |
Referenser: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2014
Urvalsstorlek: | 7369 |
Referenser: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2013
Urvalsstorlek: | 4029 |
Referenser: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2012-2013
Urvalsstorlek: | 19640 |
Referenser: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2011
Urvalsstorlek: | 7944 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2007
Urvalsstorlek: | 5344 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 2004
Urvalsstorlek: | 6083 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1999-1900
Urvalsstorlek: | 5490 |
Referenser: | 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 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Infants, 1996-1997
Urvalsstorlek: | 4880 |
Referenser: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Otillräcklig fysisk aktivitet
Vuxna, 2022
Undersökningstyp: | Egenanställd |
Ålder: | 18+ |
Område som omfattas: | Nationell |
Referenser: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definitioner (endast tillgängliga på engelska): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Män, 2022
Undersökningstyp: | Egenanställd |
Ålder: | 18+ |
Område som omfattas: | Nationell |
Referenser: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definitioner (endast tillgängliga på engelska): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Kvinnor, 2022
Undersökningstyp: | Egenanställd |
Ålder: | 18+ |
Område som omfattas: | Nationell |
Referenser: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definitioner (endast tillgängliga på engelska): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Vuxna, 2016
Referenser: | 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 |
Män, 2016
Referenser: | 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 |
Kvinnor, 2016
Referenser: | 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 |
Barn, 2016
Undersökningstyp: | Egenanställd |
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Pojkar, 2016
Undersökningstyp: | Egenanställd |
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Flickor, 2016
Undersökningstyp: | Egenanställd |
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Genomsnittligt dagligt intag av kolsyrad läskedryck
Barn, 2014-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita fruit intake (g/day) |
Förekomst av mindre än daglig fruktkonsumtion
Barn, 2008-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Förekomst av mindre än daglig konsumtion av grönsaker
Barn, 2008-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Genomsnittligt veckovist intag av snabbmat
Barn, 2014-2015
Ålder: | 12-17 |
Referenser: | 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 |
Uppskattat intag av kött per capita
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita whole grains intake (g/day) |
Psykisk hälsa - depression
Vuxna, 2015
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with depression disorders |
Psykisk hälsa - ångeststörningar
Vuxna, 2015
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with anxiety disorders |
% Spädbarn som uteslutande ammas 0-5 månader
Infants, 2015-2022
Referenser: | Bangladesh Demographic Health Survey 2022 |
Anteckningar: | 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. |
Esofageal cancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Bröstcancer
Kvinnor, 2022
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kolorektalcancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Pankreascancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Gallblåsecancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Njurcancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Livmoderhalscancer
Kvinnor, 2022
Ålder: | 20+ |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Förhöjt blodtryck
Vuxna, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Män, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kvinnor, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Förhöjt kolesterol
Vuxna, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Män, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kvinnor, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Förhöjt fastande blodglukos
Män, 2014
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Kvinnor, 2014
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Förekomst av diabetes
Vuxna, 2021
Ålder: | 20-79 |
Område som omfattas: | Nationell |
Referenser: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Age-adjusted comparative prevalence of diabetes, % |
Vuxna, 2019
Ålder: | 20-79 |
Referenser: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Diabetes age-adjusted comparative prevalence (%). |
Vuxna, 2017
Referenser: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Kvinnor, 2022
Ålder: | 20+ |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Leukemia
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Multiple Myeloma
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Non Hodgkin Lymphoma
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Thyroid Cancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Absent |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Absent |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Incoming |
Mandatory limit of trans fats in place (all settings)? | Incoming |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
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