Bangladesh
- Yleisnäkymä
- Lihavuuden esiintyvyys
- Trendit eri aikoina
- Väestöjaottelut
- Kuljettajat
- Komorbiditeetti
- Taloudelliset vaikutukset
- Käytännöt
- Contextual factors
Ladataan tietoja, odota hetki
Kansallinen lihavuuden riski *7/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Lapsuusajan lihavuuden riski *3/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Lihavuuden esiintyvyys
Trendit eri aikoina
Lataa raportti
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Riittämätön aktiivisuus
Virvoitusjuomien kulutus
Hedelmien kulutus
Vihannesten kulutus
Pikaruoan kulutus
Lihajalosteiden kulutus
Viljatuotteiden kulutus
Masennus
Ahdistuneisuus
Lihavuuden syyt »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Imetys
Lataa raportti
Komorbiditeetti
Taloudelliset vaikutukset
Käytännöt
Contextual factors
Lihavuuden esiintyvyys
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18-69 |
Otoksen koko: | 7985 |
Peittoalue: | Kansallinen |
Viitteet: | 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) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2017-2018
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 23861 |
Peittoalue: | Kansallinen |
Viitteet: | 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) |
Huomiot: | 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. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2014
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 16478 |
Peittoalue: | Kansallinen |
Viitteet: | 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) |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2011
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 17416 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2007
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 10021 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Other married women 15 - 49 years. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 1995-1996
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 3997 |
Viitteet: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Huomiot: | 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 |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Lapset, 2018-2019
Tutkimustyyppi: | Mitattu |
Ikä: | 10-19 |
Otoksen koko: | 9772 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | 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 |
Lapset, 2014
Tutkimustyyppi: | Itse ilmoitettu |
Ikä: | 13-17 |
Otoksen koko: | 2989 |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Lapset, 2009
Tutkimustyyppi: | Mitattu |
Ikä: | 6-15 |
Otoksen koko: | 10135 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Z score BMI cut-offs used |
Cutoffs: | WHO |
Infants, 2019
Ikä: | 0-5 |
Otoksen koko: | 22011 |
Viitteet: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Tytöt, 2019
Ikä: | 0-5 |
Otoksen koko: | 22012 |
Viitteet: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2018-2019
Ikä: | 0-5 |
Viitteet: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2017-2018
Ikä: | 0-5 |
Otoksen koko: | 8113 |
Viitteet: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2015
Ikä: | 0-5 |
Viitteet: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2014
Ikä: | 0-5 |
Otoksen koko: | 7369 |
Viitteet: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2013
Ikä: | 0-5 |
Otoksen koko: | 4029 |
Viitteet: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2012-2013
Ikä: | 0-5 |
Otoksen koko: | 19640 |
Viitteet: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2011
Ikä: | 0-5 |
Otoksen koko: | 7944 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2011-2012
Ikä: | 0-5 |
Viitteet: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2007
Ikä: | 0-5 |
Otoksen koko: | 5344 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2006
Ikä: | 0-5 |
Otoksen koko: | 24302 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2005
Ikä: | 0-5 |
Otoksen koko: | 74758 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2004
Ikä: | 0-5 |
Otoksen koko: | 6083 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2003
Ikä: | 0-5 |
Otoksen koko: | 86999 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2002
Ikä: | 0-5 |
Otoksen koko: | 53315 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2001
Ikä: | 0-5 |
Otoksen koko: | 63444 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1999
Ikä: | 0-5 |
Otoksen koko: | 49374 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1999-1900
Ikä: | 0-5 |
Otoksen koko: | 5490 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1998
Ikä: | 0-5 |
Otoksen koko: | 49496 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1996
Ikä: | 0-5 |
Otoksen koko: | 81067 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1996-1997
Ikä: | 0-5 |
Otoksen koko: | 4880 |
Viitteet: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1995
Ikä: | 0-5 |
Otoksen koko: | 87051 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1994
Ikä: | 0-5 |
Otoksen koko: | 63753 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1993
Ikä: | 0-5 |
Otoksen koko: | 42826 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1992
Ikä: | 0-5 |
Otoksen koko: | 36997 |
Viitteet: | 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. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1991
Ikä: | 0-5 |
Otoksen koko: | 32493 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1989-1990
Ikä: | 0-5 |
Otoksen koko: | 1914 |
Viitteet: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1985-1986
Ikä: | 0-5 |
Otoksen koko: | 2675 |
Viitteet: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Tutkimustyyppi: | Mitattu |
Viitteet: | 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) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. | |
Näiden tietojen keräämisessä on voitu käyttää erilaisia menetelmiä, joten eri tutkimusten tiedot eivät välttämättä ole täysin vertailukelpoisia. Tarkista käytetyt menetelmät alkuperäisistä tietolähteistä |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Tutkimustyyppi: | Mitattu |
Viitteet: | 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) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. | |
Näiden tietojen keräämisessä on voitu käyttää erilaisia menetelmiä, joten eri tutkimusten tiedot eivät välttämättä ole täysin vertailukelpoisia. Tarkista käytetyt menetelmät alkuperäisistä tietolähteistä |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, valitut maat
Miehet
Viitteet: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Näiden tietojen keräämisessä on voitu käyttää erilaisia menetelmiä, joten eri tutkimusten tiedot eivät välttämättä ole täysin vertailukelpoisia. Tarkista käytetyt menetelmät alkuperäisistä tietolähteistä |
Naiset
Viitteet: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Näiden tietojen keräämisessä on voitu käyttää erilaisia menetelmiä, joten eri tutkimusten tiedot eivät välttämättä ole täysin vertailukelpoisia. Tarkista käytetyt menetelmät alkuperäisistä tietolähteistä |
Ylipaino/lihavuus koulutuksen mukaan
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18-69 |
Otoksen koko: | 7985 |
Peittoalue: | Kansallinen |
Viitteet: | 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) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2017-2018
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 18328 |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Miehet, 2017-2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18+ |
Otoksen koko: | 5533 |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2014
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 16478 |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Tytöt, 2014
Tutkimustyyppi: | Mitattu |
Ikä: | 15-19 |
Otoksen koko: | 1188 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Määritelmät: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
Otoksen koko: | 22011 |
Viitteet: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2017-2018
Otoksen koko: | 8113 |
Viitteet: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2014
Otoksen koko: | 7369 |
Viitteet: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2012-2013
Otoksen koko: | 19640 |
Viitteet: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2011
Otoksen koko: | 7944 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2007
Otoksen koko: | 5344 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2004
Otoksen koko: | 6083 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1999-1900
Otoksen koko: | 5490 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1996-1997
Otoksen koko: | 4880 |
Viitteet: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Ylipaino/lihavuus iän mukaan
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 7985 |
Peittoalue: | Kansallinen |
Viitteet: | 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) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2017-2018
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 18328 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Miehet, 2017-2018
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 5533 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2014
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 16478 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Lapset, 2018-2019
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 9772 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Ylipaino/lihavuus alueen mukaan
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18-69 |
Otoksen koko: | 7985 |
Peittoalue: | Kansallinen |
Viitteet: | 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) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2017-2018
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 18328 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Miehet, 2017-2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18+ |
Otoksen koko: | 5533 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2014
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 16478 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2014
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 16478 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Pojat, 2018-2019
Tutkimustyyppi: | Mitattu |
Ikä: | 10-19 |
Otoksen koko: | 9772 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Tytöt, 2018-2019
Tutkimustyyppi: | Mitattu |
Ikä: | 10-19 |
Otoksen koko: | 9772 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Pojat, 2009
Tutkimustyyppi: | Mitattu |
Ikä: | 6-15 |
Otoksen koko: | 10135 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Z score cut-offs used |
Cutoffs: | Other |
Tytöt, 2009
Tutkimustyyppi: | Mitattu |
Ikä: | 6-15 |
Otoksen koko: | 10135 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | Z score cut-offs used |
Cutoffs: | Other |
Infants, 2019
Otoksen koko: | 22011 |
Viitteet: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2017-2018
Otoksen koko: | 8113 |
Viitteet: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2014
Otoksen koko: | 7369 |
Viitteet: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2013
Otoksen koko: | 4029 |
Viitteet: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2012-2013
Otoksen koko: | 19640 |
Viitteet: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2011
Otoksen koko: | 7944 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2007
Otoksen koko: | 5344 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2004
Otoksen koko: | 6083 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1999-1900
Otoksen koko: | 5490 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1996-1997
Otoksen koko: | 4880 |
Viitteet: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Ylipaino/lihavuus sosioekonomisen ryhmän mukaan
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18-69 |
Otoksen koko: | 7985 |
Peittoalue: | Kansallinen |
Viitteet: | 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) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2017-2018
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 18328 |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Miehet, 2017-2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18+ |
Otoksen koko: | 5533 |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2014
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 16478 |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Pojat, 2018-2019
Tutkimustyyppi: | Mitattu |
Ikä: | 10-19 |
Otoksen koko: | 9772 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Tytöt, 2018-2019
Tutkimustyyppi: | Mitattu |
Ikä: | 10-19 |
Otoksen koko: | 9772 |
Peittoalue: | Kansallinen |
Viitteet: | 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. |
Huomiot: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Infants, 2019
Otoksen koko: | 22011 |
Viitteet: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2017-2018
Otoksen koko: | 8113 |
Viitteet: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2014
Otoksen koko: | 7369 |
Viitteet: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2013
Otoksen koko: | 4029 |
Viitteet: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2012-2013
Otoksen koko: | 19640 |
Viitteet: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2011
Otoksen koko: | 7944 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2007
Otoksen koko: | 5344 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 2004
Otoksen koko: | 6083 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1999-1900
Otoksen koko: | 5490 |
Viitteet: | 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 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Infants, 1996-1997
Otoksen koko: | 4880 |
Viitteet: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Huomiot: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Määritelmät: | =>+2SD |
Riittämätön liikunta
Aikuiset, 2016
Viitteet: | 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 |
Miehet, 2016
Viitteet: | 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 |
Naiset, 2016
Viitteet: | 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 |
Lapset, 2016
Tutkimustyyppi: | Itse ilmoitettu |
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Pojat, 2016
Tutkimustyyppi: | Itse ilmoitettu |
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Tytöt, 2016
Tutkimustyyppi: | Itse ilmoitettu |
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Hiilihapotettujen virvoitusjuomien keskimääräinen päivittäinen kulutusmäärä
Lapset, 2014-2015
Tutkimustyyppi: | Mitattu |
Ikä: | 12-17 |
Viitteet: | 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
Aikuiset, 2017
Tutkimustyyppi: | Mitattu |
Ikä: | 25+ |
Viitteet: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Määritelmät: | Estimated per-capita fruit intake (g/day) |
Harvemmin kuin päivittäin nautittujen hedelmien yleisyys
Lapset, 2008-2015
Tutkimustyyppi: | Mitattu |
Ikä: | 12-17 |
Viitteet: | 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 |
Määritelmät: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Harvemmin kuin päivittäin nautittujen vihannesten yleisyys
Lapset, 2008-2015
Tutkimustyyppi: | Mitattu |
Ikä: | 12-17 |
Viitteet: | 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 |
Määritelmät: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Pikaruoan viikoittaiset kulutuskerrat keskimäärin
Lapset, 2014-2015
Ikä: | 12-17 |
Viitteet: | 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 |
Arvioitu lihajalosteiden kulutus henkeä kohti
Aikuiset, 2017
Tutkimustyyppi: | Mitattu |
Ikä: | 25+ |
Viitteet: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Määritelmät: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Aikuiset, 2017
Tutkimustyyppi: | Mitattu |
Ikä: | 25+ |
Viitteet: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Määritelmät: | Estimated per-capita whole grains intake (g/day) |
Mielenterveys – masennustilat
Aikuiset, 2015
Viitteet: | 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. |
Määritelmät: | % of population with depression disorders |
Mielenterveys – ahdistuneisuushäiriöt
Aikuiset, 2015
Viitteet: | 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. |
Määritelmät: | % of population with anxiety disorders |
% vauvoista, joita on pelkästään imetetty 0–5 kk
Infants, 2015-2022
Viitteet: | Bangladesh Demographic Health Survey 2022 |
Huomiot: | 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. |
Ruokatorven syöpä
Miehet, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Indicence per 100,000 |
Naiset, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Indicence per 100,000 |
Miehet, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Rintasyöpä
Naiset, 2022
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Incidence per 100,000 |
Paksusuolen syöpä
Miehet, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Incidence per 100,000 |
Naiset, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Incidence per 100,000 |
Miehet, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Haimasyöpä
Miehet, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Incidence per 100,000 |
Naiset, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Incidence per 100,000 |
Miehet, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Sappirakon syöpä
Miehet, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Indicence per 100,000 |
Naiset, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Indicence per 100,000 |
Miehet, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Munuaissyöpä
Miehet, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Incidence per 100,000 |
Naiset, 2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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] |
Määritelmät: | Incidence per 100,000 |
Miehet, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Kohdunkaulan syöpä
Naiset, 2022
Ikä: | 20+ |
Viitteet: | 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] |
Määritelmät: | Incidence per 100,000 |
Naiset, 2020-2022
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Kohonnut verenpaine
Aikuiset, 2015
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Määritelmät: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Miehet, 2015
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Määritelmät: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Naiset, 2015
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Määritelmät: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kohonnut kolesteroli
Aikuiset, 2008
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Määritelmät: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Miehet, 2008
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Määritelmät: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Naiset, 2008
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Määritelmät: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kohonnut verensokerin paastoarvo
Miehet, 2014
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Määritelmät: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Naiset, 2014
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Määritelmät: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeteksen esiintyvyys
Aikuiset, 2021
Ikä: | 20-79 |
Peittoalue: | Kansallinen |
Viitteet: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Määritelmät: | Age-adjusted comparative prevalence of diabetes, % |
Aikuiset, 2019
Ikä: | 20-79 |
Viitteet: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Määritelmät: | Diabetes age-adjusted comparative prevalence (%). |
Aikuiset, 2017
Viitteet: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Määritelmät: | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Absent |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Absent |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Incoming |
Mandatory limit of trans fats in place (all settings)? | Incoming |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
Guidelines/policy on obesity treatment? | Absent |
Promotion of breastfeeding? | Absent |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions