Bangladesh
Lower-middle income
- Ülevaade
- Rasvumise levimus
- Trendid ajas
- Rahvastiku jaotus
- Tegurid
- Kaasnevad haigused
- Majanduslik mõju
- Strateegiad
- Contextual factors
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Riiklik rasvumisrisk *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.Laste rasvumise oht *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).
Rasvumise levimus
Trendid ajas
Laadi alla aruanne
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Ebapiisav aktiivsus
Karastusjookide tarbimine
Puuvilja tarbimine
Köögivilja tarbimine
Kiirtoidu tarbimine
Töödeldud liha tarbimine
Teravilja tarbimine
Depressioon
Ärevus
Rasvumise algpõhjused »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Imetamine
Laadi alla aruanne
Kaasnevad haigused
Majanduslik mõju
Strateegiad
Contextual factors
Rasvumise levimus
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18-69 |
Valimi suurus: | 7985 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2017-2018
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 23861 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | 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. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 16478 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2011
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 17416 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2007
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 10021 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Other married women 15 - 49 years. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 1995-1996
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 3997 |
Viited: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Märkused: | 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 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2019-2020
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-19 |
Valimi suurus: | 9128 |
Hõlmatud piirkond: | Riiklik |
Viited: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
Märkused: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
Cutoffs: | WHO |
Lapsed, 2018-2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 10-19 |
Valimi suurus: | 9772 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 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 |
Lapsed, 2014
Uuringu tüüp: | Ise teatatud |
Vanus: | 13-17 |
Valimi suurus: | 2989 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Lapsed, 2009
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-15 |
Valimi suurus: | 10135 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Z score BMI cut-offs used |
Cutoffs: | WHO |
0-5 years, 2019
Vanus: | 0-5 |
Valimi suurus: | 22011 |
Viited: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2018-2019
Vanus: | 0-5 |
Viited: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2017-2018
Vanus: | 0-5 |
Valimi suurus: | 8113 |
Viited: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2015
Vanus: | 0-5 |
Viited: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2014
Vanus: | 0-5 |
Valimi suurus: | 7369 |
Viited: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2013
Vanus: | 0-5 |
Valimi suurus: | 4029 |
Viited: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2012-2013
Vanus: | 0-5 |
Valimi suurus: | 19640 |
Viited: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2011
Vanus: | 0-5 |
Valimi suurus: | 7944 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2011-2012
Vanus: | 0-5 |
Viited: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2007
Vanus: | 0-5 |
Valimi suurus: | 5344 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2006
Vanus: | 0-5 |
Valimi suurus: | 24302 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2005
Vanus: | 0-5 |
Valimi suurus: | 74758 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2004
Vanus: | 0-5 |
Valimi suurus: | 6083 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2003
Vanus: | 0-5 |
Valimi suurus: | 86999 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2002
Vanus: | 0-5 |
Valimi suurus: | 53315 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2001
Vanus: | 0-5 |
Valimi suurus: | 63444 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1999
Vanus: | 0-5 |
Valimi suurus: | 49374 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1999-1900
Vanus: | 0-5 |
Valimi suurus: | 5490 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1998
Vanus: | 0-5 |
Valimi suurus: | 49496 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1996
Vanus: | 0-5 |
Valimi suurus: | 81067 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1996-1997
Vanus: | 0-5 |
Valimi suurus: | 4880 |
Viited: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1995
Vanus: | 0-5 |
Valimi suurus: | 87051 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1994
Vanus: | 0-5 |
Valimi suurus: | 63753 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1993
Vanus: | 0-5 |
Valimi suurus: | 42826 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1992
Vanus: | 0-5 |
Valimi suurus: | 36997 |
Viited: | 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. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1991
Vanus: | 0-5 |
Valimi suurus: | 32493 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1989-1990
Vanus: | 0-5 |
Valimi suurus: | 1914 |
Viited: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1985-1986
Vanus: | 0-5 |
Valimi suurus: | 2675 |
Viited: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Uuringu tüüp: | Mõõdetud |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Uuringu tüüp: | Mõõdetud |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, valitud riigid
Mehed
Viited: | 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) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Viited: | 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) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Ülekaalulisus / rasvumine hariduse järgi
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18-69 |
Valimi suurus: | 7985 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2017-2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 18328 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2017-2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 5533 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 16478 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Tüdrukud, 2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-19 |
Valimi suurus: | 1188 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Mõisted: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
0-5 years, 2019
Valimi suurus: | 22011 |
Viited: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2017-2018
Valimi suurus: | 8113 |
Viited: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2014
Valimi suurus: | 7369 |
Viited: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2012-2013
Valimi suurus: | 19640 |
Viited: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2011
Valimi suurus: | 7944 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2007
Valimi suurus: | 5344 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2004
Valimi suurus: | 6083 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1999-1900
Valimi suurus: | 5490 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1996-1997
Valimi suurus: | 4880 |
Viited: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
Ülekaalulisus / rasvumine vanuse järgi
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 7985 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2017-2018
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 18328 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2017-2018
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 5533 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2014
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 16478 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2019-2020
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 9128 |
Hõlmatud piirkond: | Riiklik |
Viited: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
Märkused: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
Cutoffs: | WHO |
Lapsed, 2018-2019
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 9772 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Ülekaalulisus / rasvumine piirkonna järgi
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18-69 |
Valimi suurus: | 7985 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2017-2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 18328 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2017-2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 5533 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 16478 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 16478 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2019-2020
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-19 |
Valimi suurus: | 9128 |
Hõlmatud piirkond: | Riiklik |
Viited: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
Märkused: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
Cutoffs: | WHO |
Poisid, 2018-2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 10-19 |
Valimi suurus: | 9772 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Tüdrukud, 2018-2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 10-19 |
Valimi suurus: | 9772 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Poisid, 2009
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-15 |
Valimi suurus: | 10135 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Z score cut-offs used |
Cutoffs: | Other |
Tüdrukud, 2009
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-15 |
Valimi suurus: | 10135 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | Z score cut-offs used |
Cutoffs: | Other |
0-5 years, 2019
Valimi suurus: | 22011 |
Viited: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2017-2018
Valimi suurus: | 8113 |
Viited: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2014
Valimi suurus: | 7369 |
Viited: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2013
Valimi suurus: | 4029 |
Viited: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2012-2013
Valimi suurus: | 19640 |
Viited: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2011
Valimi suurus: | 7944 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2007
Valimi suurus: | 5344 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2004
Valimi suurus: | 6083 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1999-1900
Valimi suurus: | 5490 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1996-1997
Valimi suurus: | 4880 |
Viited: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
Ülekaalulisus / rasvumine sotsiaalmajandusliku grupi järgi
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18-69 |
Valimi suurus: | 7985 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2017-2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 18328 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2017-2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 5533 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-49 |
Valimi suurus: | 16478 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Märkused: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2019-2020
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-19 |
Valimi suurus: | 9128 |
Hõlmatud piirkond: | Riiklik |
Viited: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
Märkused: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
Cutoffs: | WHO |
Poisid, 2018-2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 10-19 |
Valimi suurus: | 9772 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Tüdrukud, 2018-2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 10-19 |
Valimi suurus: | 9772 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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. |
Märkused: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
0-5 years, 2019
Valimi suurus: | 22011 |
Viited: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2017-2018
Valimi suurus: | 8113 |
Viited: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2014
Valimi suurus: | 7369 |
Viited: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2013
Valimi suurus: | 4029 |
Viited: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2012-2013
Valimi suurus: | 19640 |
Viited: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2011
Valimi suurus: | 7944 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2007
Valimi suurus: | 5344 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2004
Valimi suurus: | 6083 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1999-1900
Valimi suurus: | 5490 |
Viited: | 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 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1996-1997
Valimi suurus: | 4880 |
Viited: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
Ebapiisav füüsiline aktiivsus
Täiskasvanud, 2022
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Mõisted: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Mehed, 2022
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Mõisted: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Naised, 2022
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Mõisted: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Täiskasvanud, 2016
Viited: | 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 |
Mehed, 2016
Viited: | 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 |
Naised, 2016
Viited: | 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 |
Lapsed, 2016
Uuringu tüüp: | Ise teatatud |
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Märkused: | % 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. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Poisid, 2016
Uuringu tüüp: | Ise teatatud |
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Märkused: | % 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. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Tüdrukud, 2016
Uuringu tüüp: | Ise teatatud |
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Märkused: | % 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. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Keskmine päevane gaseeritud karastusjookide tarbimissagedus
Lapsed, 2014-2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 12-17 |
Viited: | 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
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita fruit intake (g/day) |
Puuviljade vähem kui igapäevase tarbimise levimus
Lapsed, 2008-2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 12-17 |
Viited: | 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 |
Mõisted: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Köögiviljade vähem kui igapäevase tarbimise levimus
Lapsed, 2008-2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 12-17 |
Viited: | 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 |
Mõisted: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Kiirtoidu tarbimise keskmine nädalane sagedus
Lapsed, 2014-2015
Vanus: | 12-17 |
Viited: | 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 |
Hinnanguline töödeldud liha tarbimine inimese kohta
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita whole grains intake (g/day) |
Vaimne tervis - depressiivsed häired
Täiskasvanud, 2015
Viited: | 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. |
Mõisted: | % of population with depression disorders |
Vaimne tervis - ärevushäired
Täiskasvanud, 2015
Viited: | 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. |
Mõisted: | % of population with anxiety disorders |
0.–5. elukuuni eranditult rinnapiimal imikute %
0-5 years, 2015-2022
Viited: | Bangladesh Demographic Health Survey 2022 |
Märkused: | 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. |
Söögitoruvähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Indicence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Indicence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Rinnavähk
Naised, 2022
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Pärasoolevähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Kõhunäärmevähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Sapipõie vähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Indicence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Indicence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Neeruvähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Emakavähk
Naised, 2022
Vanus: | 20+ |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Kõrgenenud vererõhk
Täiskasvanud, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mehed, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Naised, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kõrgenenud kolesteroolitase
Täiskasvanud, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mehed, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Naised, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kõrgenenud veresuhkru tase tühja kõhuga
Mehed, 2014
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Mõisted: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Naised, 2014
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Mõisted: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeedi levimus
Täiskasvanud, 2021
Vanus: | 20-79 |
Hõlmatud piirkond: | Riiklik |
Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Mõisted: | Age-adjusted comparative prevalence of diabetes, % |
Täiskasvanud, 2019
Vanus: | 20-79 |
Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Mõisted: | Diabetes age-adjusted comparative prevalence (%). |
Täiskasvanud, 2017
Viited: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Mõisted: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Naised, 2022
Vanus: | 20+ |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Leukemia
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Multiple Myeloma
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Indicence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Indicence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Non Hodgkin Lymphoma
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Thyroid Cancer
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | 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] |
Mõisted: | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Absent |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Absent |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Incoming |
Mandatory limit of trans fats in place (all settings)? | Incoming |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
Guidelines/policy on obesity treatment? | Absent |
Promotion of breastfeeding? | Absent |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
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