Bangladesch
Lower-middle income
- Überblick
- Adipositasprävalenz
- Trends im Zeitverlauf
- Bevölkerungsaufschlüsselung
- Treiber
- Komorbiditäten
- Wirtschaftliche Auswirkungen
- Richtlinien (nur in englischer Sprache verfügbar)
- Contextual factors
Report cards
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Bevölkerungsaufschlüsselung
Treiber
Unzureichende Aktivität
Konsum von Erfrischungsgetränken
Obstverbrauch
Gemüsekonsum
Fast-Food-Konsum
Konsum von verarbeiteten Fleischwaren
Getreideverbrauch
Depression
Angst
Wurzeln der Adipositas »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Stillen
Unaffordable diet
Berichtskarte herunterladen
Komorbiditäten
Speiseröhrenkrebs
Brustkrebs
Dickdarmkrebs
Bauchspeicheldrüsenkrebs
Gallenblasenkrebs
Nierenkrebs
Gebärmutterkrebs
Erhöhter Blutdruck
Erhöhtes Cholesterin
Erhöhter Nüchternblutzucker
Diabetes-Prävalenz
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Berichtskarte herunterladen
Wirtschaftliche Auswirkungen
Richtlinien (nur in englischer Sprache verfügbar)
Contextual factors
Adipositasprävalenz
Erwachsene, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 13970 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Anmerkungen (nur in englischer Sprache verfügbar): | 8279 Women, 5691 Men |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2018
Umfragetyp: | Gemessen |
Alter: | 18-69 |
Stichprobengröße: | 7985 |
Geltungsbereich: | National |
Referenzen: | 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) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2017-2018
Umfragetyp: | Gemessen |
Stichprobengröße: | 23861 |
Geltungsbereich: | National |
Referenzen: | 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) |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2014
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 16478 |
Geltungsbereich: | National |
Referenzen: | 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) |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2011
Umfragetyp: | Gemessen |
Stichprobengröße: | 17416 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2007
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 10021 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Other married women 15 - 49 years. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 1995-1996
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 3997 |
Referenzen: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Mädchen, 2022
Umfragetyp: | Gemessen |
Alter: | 15-19 |
Stichprobengröße: | 705 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Cutoffs: | >1 <2 SD (overweight) +2 SD (obesity) |
Kinder, 2019-2020
Umfragetyp: | Gemessen |
Alter: | 15-19 |
Stichprobengröße: | 9128 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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 |
Kinder, 2018-2019
Umfragetyp: | Gemessen |
Alter: | 10-19 |
Stichprobengröße: | 9772 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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 |
Kinder, 2014
Umfragetyp: | Selbst berichtet |
Alter: | 13-17 |
Stichprobengröße: | 2989 |
Geltungsbereich: | National |
Referenzen: | 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 |
Kinder, 2009
Umfragetyp: | Gemessen |
Alter: | 6-15 |
Stichprobengröße: | 10135 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Z score BMI cut-offs used |
Cutoffs: | WHO |
0-5 years, 2022
Umfragetyp: | Gemessen |
Alter: | 0-5 |
Stichprobengröße: | 4313 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Definitionen (nur in englischer Sprache verfügbar): | Weight for height |
Cutoffs: | +2 SD |
0-5 years, 2019
Alter: | 0-5 |
Stichprobengröße: | 22011 |
Referenzen: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2018-2019
Alter: | 0-5 |
Referenzen: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2017-2018
Alter: | 0-5 |
Stichprobengröße: | 8113 |
Referenzen: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2015
Alter: | 0-5 |
Referenzen: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2014
Alter: | 0-5 |
Stichprobengröße: | 7369 |
Referenzen: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2013
Alter: | 0-5 |
Stichprobengröße: | 4029 |
Referenzen: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2012-2013
Alter: | 0-5 |
Stichprobengröße: | 19640 |
Referenzen: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2011
Alter: | 0-5 |
Stichprobengröße: | 7944 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2011-2012
Alter: | 0-5 |
Referenzen: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2007
Alter: | 0-5 |
Stichprobengröße: | 5344 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2006
Alter: | 0-5 |
Stichprobengröße: | 24302 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2005
Alter: | 0-5 |
Stichprobengröße: | 74758 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2004
Alter: | 0-5 |
Stichprobengröße: | 6083 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2003
Alter: | 0-5 |
Stichprobengröße: | 86999 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2002
Alter: | 0-5 |
Stichprobengröße: | 53315 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2001
Alter: | 0-5 |
Stichprobengröße: | 63444 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1999
Alter: | 0-5 |
Stichprobengröße: | 49374 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1999-1900
Alter: | 0-5 |
Stichprobengröße: | 5490 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1998
Alter: | 0-5 |
Stichprobengröße: | 49496 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1996
Alter: | 0-5 |
Stichprobengröße: | 81067 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1996-1997
Alter: | 0-5 |
Stichprobengröße: | 4880 |
Referenzen: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1995
Alter: | 0-5 |
Stichprobengröße: | 87051 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1994
Alter: | 0-5 |
Stichprobengröße: | 63753 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1993
Alter: | 0-5 |
Stichprobengröße: | 42826 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1992
Alter: | 0-5 |
Stichprobengröße: | 36997 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1991
Alter: | 0-5 |
Stichprobengröße: | 32493 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1989-1990
Alter: | 0-5 |
Stichprobengröße: | 1914 |
Referenzen: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1985-1986
Alter: | 0-5 |
Stichprobengröße: | 2675 |
Referenzen: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Umfragetyp: | Gemessen |
Referenzen: | 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) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². | |
Für die Erhebung dieser Daten wurden möglicherweise unterschiedliche Methoden verwendet, weshalb die Daten aus verschiedenen Erhebungen möglicherweise nicht genau vergleichbar sind. Bitte erkundigen Sie sich bei den ursprünglichen Datenquellen über die verwendeten Methoden |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Umfragetyp: | Gemessen |
Referenzen: | 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) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². | |
Für die Erhebung dieser Daten wurden möglicherweise unterschiedliche Methoden verwendet, weshalb die Daten aus verschiedenen Erhebungen möglicherweise nicht genau vergleichbar sind. Bitte erkundigen Sie sich bei den ursprünglichen Datenquellen über die verwendeten Methoden |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, ausgewählte Länder
Männer
Referenzen: | 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: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 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: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey 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) 2023: Institute for Public Health (IKU). National Health and Morbidity Survey (NHMS) 2023: Non-Communicable Diseases and Healthcare Demand: Technical Report; 2024. Available at https://iku.nih.gov.my/nhms-2023 (last accessed 04.02.25) |
Für die Erhebung dieser Daten wurden möglicherweise unterschiedliche Methoden verwendet, weshalb die Daten aus verschiedenen Erhebungen möglicherweise nicht genau vergleichbar sind. Bitte erkundigen Sie sich bei den ursprünglichen Datenquellen über die verwendeten Methoden |
Frauen
Referenzen: | 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: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 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: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey 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) 2023: Institute for Public Health (IKU). National Health and Morbidity Survey (NHMS) 2023: Non-Communicable Diseases and Healthcare Demand: Technical Report; 2024. Available at https://iku.nih.gov.my/nhms-2023 (last accessed 04.02.25) |
Für die Erhebung dieser Daten wurden möglicherweise unterschiedliche Methoden verwendet, weshalb die Daten aus verschiedenen Erhebungen möglicherweise nicht genau vergleichbar sind. Bitte erkundigen Sie sich bei den ursprünglichen Datenquellen über die verwendeten Methoden |
Übergewicht/Adipositas nach Bildung
Männer, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 13970 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 13970 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2018
Umfragetyp: | Gemessen |
Alter: | 18-69 |
Stichprobengröße: | 7985 |
Geltungsbereich: | National |
Referenzen: | 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) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2017-2018
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 18328 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Männer, 2017-2018
Umfragetyp: | Gemessen |
Alter: | 18+ |
Stichprobengröße: | 5533 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2014
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 16478 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Mädchen, 2014
Umfragetyp: | Gemessen |
Alter: | 15-19 |
Stichprobengröße: | 1188 |
Geltungsbereich: | National |
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
0-5 years, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 4313 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Cutoffs: | +2 SD |
0-5 years, 2019
Stichprobengröße: | 22011 |
Referenzen: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2017-2018
Stichprobengröße: | 8113 |
Referenzen: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2014
Stichprobengröße: | 7369 |
Referenzen: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2012-2013
Stichprobengröße: | 19640 |
Referenzen: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2011
Stichprobengröße: | 7944 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2007
Stichprobengröße: | 5344 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2004
Stichprobengröße: | 6083 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1999-2000
Stichprobengröße: | 5490 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1996-1997
Stichprobengröße: | 4880 |
Referenzen: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
Übergewicht/Adipositas nach Alter
Erwachsene, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 13970 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2018
Umfragetyp: | Gemessen |
Stichprobengröße: | 7985 |
Geltungsbereich: | National |
Referenzen: | 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) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2017-2018
Umfragetyp: | Gemessen |
Stichprobengröße: | 18328 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Männer, 2017-2018
Umfragetyp: | Gemessen |
Stichprobengröße: | 5533 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2014
Umfragetyp: | Gemessen |
Stichprobengröße: | 16478 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Kinder, 2019-2020
Umfragetyp: | Gemessen |
Stichprobengröße: | 9128 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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 |
Kinder, 2018-2019
Umfragetyp: | Gemessen |
Stichprobengröße: | 9772 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Übergewicht/Adipositas nach Region
Männer, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 13970 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 13970 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2018
Umfragetyp: | Gemessen |
Alter: | 18-69 |
Stichprobengröße: | 7985 |
Geltungsbereich: | National |
Referenzen: | 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) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2017-2018
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 18328 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Männer, 2017-2018
Umfragetyp: | Gemessen |
Alter: | 18+ |
Stichprobengröße: | 5533 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2014
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 16478 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2014
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 16478 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Mädchen, 2022
Umfragetyp: | Gemessen |
Alter: | 15-19 |
Stichprobengröße: | 705 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Cutoffs: | +1SD to 2SD />2SD |
Kinder, 2019-2020
Umfragetyp: | Gemessen |
Alter: | 15-19 |
Stichprobengröße: | 9128 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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 |
Jungen, 2018-2019
Umfragetyp: | Gemessen |
Alter: | 10-19 |
Stichprobengröße: | 9772 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Mädchen, 2018-2019
Umfragetyp: | Gemessen |
Alter: | 10-19 |
Stichprobengröße: | 9772 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Jungen, 2009
Umfragetyp: | Gemessen |
Alter: | 6-15 |
Stichprobengröße: | 10135 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Z score cut-offs used |
Cutoffs: | Other |
Mädchen, 2009
Umfragetyp: | Gemessen |
Alter: | 6-15 |
Stichprobengröße: | 10135 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Z score cut-offs used |
Cutoffs: | Other |
0-5 years, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 4313 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Definitionen (nur in englischer Sprache verfügbar): | Weight for height |
Cutoffs: | +2 SD |
0-5 years, 2019
Stichprobengröße: | 22011 |
Referenzen: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2017-2018
Stichprobengröße: | 8113 |
Referenzen: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2014
Stichprobengröße: | 7369 |
Referenzen: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2013
Stichprobengröße: | 4029 |
Referenzen: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2012-2013
Stichprobengröße: | 19640 |
Referenzen: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2011
Stichprobengröße: | 7944 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2007
Stichprobengröße: | 5344 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2004
Stichprobengröße: | 6083 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1999-1900
Stichprobengröße: | 5490 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1996-1997
Stichprobengröße: | 4880 |
Referenzen: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
Übergewicht/Adipositas nach sozioökonomischer Gruppe
Männer, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 13970 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 13970 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2018
Umfragetyp: | Gemessen |
Alter: | 18-69 |
Stichprobengröße: | 7985 |
Geltungsbereich: | National |
Referenzen: | 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) |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2017-2018
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 18328 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Männer, 2017-2018
Umfragetyp: | Gemessen |
Alter: | 18+ |
Stichprobengröße: | 5533 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2014
Umfragetyp: | Gemessen |
Alter: | 15-49 |
Stichprobengröße: | 16478 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Kinder, 2019-2020
Umfragetyp: | Gemessen |
Alter: | 15-19 |
Stichprobengröße: | 9128 |
Geltungsbereich: | National |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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 |
Jungen, 2018-2019
Umfragetyp: | Gemessen |
Alter: | 10-19 |
Stichprobengröße: | 9772 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Mädchen, 2018-2019
Umfragetyp: | Gemessen |
Alter: | 10-19 |
Stichprobengröße: | 9772 |
Geltungsbereich: | National |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
0-5 years, 2022
Umfragetyp: | Gemessen |
Stichprobengröße: | 4313 |
Geltungsbereich: | National |
Referenzen: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
0-5 years, 2019
Stichprobengröße: | 22011 |
Referenzen: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2017-2018
Stichprobengröße: | 8113 |
Referenzen: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2014
Stichprobengröße: | 7369 |
Referenzen: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2013
Stichprobengröße: | 4029 |
Referenzen: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2012-2013
Stichprobengröße: | 19640 |
Referenzen: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2011
Stichprobengröße: | 7944 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2007
Stichprobengröße: | 5344 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 2004
Stichprobengröße: | 6083 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1999-1900
Stichprobengröße: | 5490 |
Referenzen: | 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 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
0-5 years, 1996-1997
Stichprobengröße: | 4880 |
Referenzen: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Anmerkungen (nur in englischer Sprache verfügbar): | 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. |
Definitionen (nur in englischer Sprache verfügbar): | =>+2SD |
Double burden of underweight & overweight
Erwachsene, 2022
Umfragetyp: | Gemessen |
Alter: | 20+ |
Referenzen: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
Anmerkungen (nur in englischer Sprache verfügbar): | Age Standardised estimates |
Definitionen (nur in englischer Sprache verfügbar): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Kinder, 2022
Umfragetyp: | Gemessen |
Alter: | 5-19 |
Referenzen: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
Anmerkungen (nur in englischer Sprache verfügbar): | Age standardised estimates |
Definitionen (nur in englischer Sprache verfügbar): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019-2019
Umfragetyp: | Gemessen |
Alter: | 0-5 |
Referenzen: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
Anmerkungen (nur in englischer Sprache verfügbar): | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
Unzureichende körperliche Aktivität
Erwachsene, 2022
Umfragetyp: | Selbst berichtet |
Alter: | 18+ |
Geltungsbereich: | National |
Referenzen: | 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)-(-) |
Definitionen (nur in englischer Sprache verfügbar): | 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. |
Männer, 2022
Umfragetyp: | Selbst berichtet |
Alter: | 18+ |
Geltungsbereich: | National |
Referenzen: | 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)-(-) |
Definitionen (nur in englischer Sprache verfügbar): | 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. |
Frauen, 2022
Umfragetyp: | Selbst berichtet |
Alter: | 18+ |
Geltungsbereich: | National |
Referenzen: | 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)-(-) |
Definitionen (nur in englischer Sprache verfügbar): | 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. |
Erwachsene, 2016
Referenzen: | 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 |
Männer, 2016
Referenzen: | 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 |
Frauen, 2016
Referenzen: | 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 |
Kinder, 2016
Umfragetyp: | Selbst berichtet |
Alter: | 11-17 |
Referenzen: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anmerkungen (nur in englischer Sprache verfügbar): | % 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. |
Definitionen (nur in englischer Sprache verfügbar): | % Adolescents insufficiently active (age standardised estimate) |
Jungen, 2016
Umfragetyp: | Selbst berichtet |
Alter: | 11-17 |
Referenzen: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anmerkungen (nur in englischer Sprache verfügbar): | % 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. |
Definitionen (nur in englischer Sprache verfügbar): | % Adolescents insufficiently active (age standardised estimate) |
Mädchen, 2016
Umfragetyp: | Selbst berichtet |
Alter: | 11-17 |
Referenzen: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anmerkungen (nur in englischer Sprache verfügbar): | % 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. |
Definitionen (nur in englischer Sprache verfügbar): | % Adolescents insufficiently active (age standardised estimate) |
Durchschnittliche Häufigkeit des täglichen Konsums von kohlensäurehaltigen Erfrischungsgetränken
Kinder, 2014-2015
Umfragetyp: | Gemessen |
Alter: | 12-17 |
Referenzen: | 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
Erwachsene, 2017
Umfragetyp: | Gemessen |
Alter: | 25+ |
Referenzen: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitionen (nur in englischer Sprache verfügbar): | Estimated per-capita fruit intake (g/day) |
Prävalenz von weniger als täglichem Obstkonsum
Kinder, 2008-2015
Umfragetyp: | Gemessen |
Alter: | 12-17 |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prävalenz von weniger als täglichem Gemüsekonsum
Kinder, 2008-2015
Umfragetyp: | Gemessen |
Alter: | 12-17 |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Durchschnittliche wöchentliche Häufigkeit des Konsums von Fast-Food
Kinder, 2014-2015
Alter: | 12-17 |
Referenzen: | 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 |
Geschätzter Verzehr von verarbeitetem Fleisch pro Kopf
Erwachsene, 2017
Umfragetyp: | Gemessen |
Alter: | 25+ |
Referenzen: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitionen (nur in englischer Sprache verfügbar): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Erwachsene, 2017
Umfragetyp: | Gemessen |
Alter: | 25+ |
Referenzen: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitionen (nur in englischer Sprache verfügbar): | Estimated per-capita whole grains intake (g/day) |
Psychische Gesundheit – Depressionsstörungen
Erwachsene, 2021
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depression per 100,000 population (adults 20+ years) |
Männer, 2021
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depression per 100,000 population (adults 20+ years) |
Frauen, 2021
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depression per 100,000 population (adults 20+ years) |
Erwachsene, 2015-2021
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | % of population with depression disorders |
Erwachsene, 2015-2021
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | % of population with depression disorders |
Männer, 2015-2021
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | % of population with depression disorders |
Frauen, 2015-2021
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | % of population with depression disorders |
Kinder, 2021
Geltungsbereich: | National |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Jungen, 2021
Geltungsbereich: | National |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Mädchen, 2021
Geltungsbereich: | National |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Psychische Gesundheit – Angststörungen
Erwachsene, 2021
Alter: | 20+ |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Definitionen (nur in englischer Sprache verfügbar): | Number living with anxiety per 100,000 population |
Männer, 2021
Alter: | 20+ |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Definitionen (nur in englischer Sprache verfügbar): | Number living with anxiety per 100,000 population |
Frauen, 2021
Alter: | 20+ |
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Definitionen (nur in englischer Sprache verfügbar): | Number living with anxiety per 100,000 population |
Erwachsene, 2015-2021
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | % of population with anxiety disorders |
Erwachsene, 2015-2021
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | % of population with anxiety disorders |
Männer, 2015-2021
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | % of population with anxiety disorders |
Frauen, 2015-2021
Referenzen: | 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. |
Definitionen (nur in englischer Sprache verfügbar): | % of population with anxiety disorders |
Kinder, 2021
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Jungen, 2021
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Mädchen, 2021
Referenzen: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% der Kleinkinder, die ausschließlich von 0-5 Monaten gestillt wurden
0-5 years, 2015-2022
Referenzen: | Bangladesh Demographic Health Survey 2022 |
Anmerkungen (nur in englischer Sprache verfügbar): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Erwachsene, 2022
Geltungsbereich: | National |
Referenzen: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Speiseröhrenkrebs
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Indicence per 100,000 |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Indicence per 100,000 |
Männer, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Frauen, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Brustkrebs
Frauen, 2022
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Dickdarmkrebs
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Männer, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Frauen, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Bauchspeicheldrüsenkrebs
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Männer, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Frauen, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Gallenblasenkrebs
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Indicence per 100,000 |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Indicence per 100,000 |
Männer, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Frauen, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Nierenkrebs
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Männer, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Frauen, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Gebärmutterkrebs
Frauen, 2022
Alter: | 20+ |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Frauen, 2020-2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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 |
Definitionen (nur in englischer Sprache verfügbar): | Age-standardized indicence rates per 100 000 |
Erhöhter Blutdruck
Erwachsene, 2015
Referenzen: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitionen (nur in englischer Sprache verfügbar): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Männer, 2015
Referenzen: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitionen (nur in englischer Sprache verfügbar): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Frauen, 2015
Referenzen: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitionen (nur in englischer Sprache verfügbar): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Erhöhtes Cholesterin
Erwachsene, 2008
Referenzen: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitionen (nur in englischer Sprache verfügbar): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Männer, 2008
Referenzen: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitionen (nur in englischer Sprache verfügbar): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Frauen, 2008
Referenzen: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitionen (nur in englischer Sprache verfügbar): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Erhöhter Nüchternblutzucker
Männer, 2014
Referenzen: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitionen (nur in englischer Sprache verfügbar): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Frauen, 2014
Referenzen: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitionen (nur in englischer Sprache verfügbar): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetes-Prävalenz
Erwachsene, 2024
Referenzen: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Erwachsene, 2021
Alter: | 20-79 |
Geltungsbereich: | National |
Referenzen: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definitionen (nur in englischer Sprache verfügbar): | Age-adjusted comparative prevalence of diabetes, % |
Erwachsene, 2019
Alter: | 20-79 |
Referenzen: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitionen (nur in englischer Sprache verfügbar): | Diabetes age-adjusted comparative prevalence (%). |
Erwachsene, 2017
Referenzen: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definitionen (nur in englischer Sprache verfügbar): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Frauen, 2022
Alter: | 20+ |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Leukemia
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Leukemia
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Multiple Myeloma
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Indicence per 100,000 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Indicence per 100,000 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Non Hodgkin Lymphoma
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Thyroid Cancer
Männer, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Frauen, 2022
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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] |
Definitionen (nur in englischer Sprache verfügbar): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Absent |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Absent |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Incoming |
Mandatory limit of trans fats in place (all settings)? | Incoming |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
Promotion of breastfeeding? | Absent |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated September 13, 2022
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