Bangladesz
- Przegląd
- Występowanie otyłości
- Trendy na przestrzeni czasu
- Podziały ludności
- Czynniki sprzyjające otyłości
- Choroby współistniejące
- Oddziaływanie ekonomiczne
- Polityka
- Contextual factors
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Ryzyko otyłości w skali kraju *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.Ryzyko otyłości u dzieci *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).
Występowanie otyłości
Trendy na przestrzeni czasu
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Czynniki sprzyjające otyłości
Niewystarczająca aktywność
Spożycie napojów bezalkoholowych
Spożycie owoców
Spożycie warzyw
Spożycie fast foodów
Spożycie przetworzonego mięsa
Spożycie produktów zbożowych
Depresja
Lęki
Przyczyny otyłości »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Karmienie piersią
Pobierz kartę raportu
Choroby współistniejące
Oddziaływanie ekonomiczne
Polityka
Contextual factors
Występowanie otyłości
Dorośli, 2018
Typ ankiety: | Dane obserwowane |
Wiek: | 18-69 |
Liczebność próby: | 7985 |
Objęty obszar: | Krajowe |
Bibliografia: | 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) |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Dorośli, 2017-2018
Typ ankiety: | Dane obserwowane |
Liczebność próby: | 23861 |
Objęty obszar: | Krajowe |
Bibliografia: | 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) |
Uwagi: | 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. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2014
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 16478 |
Objęty obszar: | Krajowe |
Bibliografia: | 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) |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Dorośli, 2011
Typ ankiety: | Dane obserwowane |
Liczebność próby: | 17416 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2007
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 10021 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Other married women 15 - 49 years. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 1995-1996
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 3997 |
Bibliografia: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Uwagi: | 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 |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Dzieci, 2018-2019
Typ ankiety: | Dane obserwowane |
Wiek: | 10-19 |
Liczebność próby: | 9772 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | 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 |
Dzieci, 2014
Typ ankiety: | Dane deklarowane |
Wiek: | 13-17 |
Liczebność próby: | 2989 |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Dzieci, 2009
Typ ankiety: | Dane obserwowane |
Wiek: | 6-15 |
Liczebność próby: | 10135 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Z score BMI cut-offs used |
Cutoffs: | WHO |
Infants, 2019
Wiek: | 0-5 |
Liczebność próby: | 22011 |
Bibliografia: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Dziewczęta, 2019
Wiek: | 0-5 |
Liczebność próby: | 22012 |
Bibliografia: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2018-2019
Wiek: | 0-5 |
Bibliografia: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2017-2018
Wiek: | 0-5 |
Liczebność próby: | 8113 |
Bibliografia: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2015
Wiek: | 0-5 |
Bibliografia: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2014
Wiek: | 0-5 |
Liczebność próby: | 7369 |
Bibliografia: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2013
Wiek: | 0-5 |
Liczebność próby: | 4029 |
Bibliografia: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2012-2013
Wiek: | 0-5 |
Liczebność próby: | 19640 |
Bibliografia: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2011
Wiek: | 0-5 |
Liczebność próby: | 7944 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2011-2012
Wiek: | 0-5 |
Bibliografia: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2007
Wiek: | 0-5 |
Liczebność próby: | 5344 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2006
Wiek: | 0-5 |
Liczebność próby: | 24302 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2005
Wiek: | 0-5 |
Liczebność próby: | 74758 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2004
Wiek: | 0-5 |
Liczebność próby: | 6083 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2003
Wiek: | 0-5 |
Liczebność próby: | 86999 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2002
Wiek: | 0-5 |
Liczebność próby: | 53315 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2001
Wiek: | 0-5 |
Liczebność próby: | 63444 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1999
Wiek: | 0-5 |
Liczebność próby: | 49374 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1999-1900
Wiek: | 0-5 |
Liczebność próby: | 5490 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1998
Wiek: | 0-5 |
Liczebność próby: | 49496 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1996
Wiek: | 0-5 |
Liczebność próby: | 81067 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1996-1997
Wiek: | 0-5 |
Liczebność próby: | 4880 |
Bibliografia: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1995
Wiek: | 0-5 |
Liczebność próby: | 87051 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1994
Wiek: | 0-5 |
Liczebność próby: | 63753 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1993
Wiek: | 0-5 |
Liczebność próby: | 42826 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1992
Wiek: | 0-5 |
Liczebność próby: | 36997 |
Bibliografia: | 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. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1991
Wiek: | 0-5 |
Liczebność próby: | 32493 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1989-1990
Wiek: | 0-5 |
Liczebność próby: | 1914 |
Bibliografia: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1985-1986
Wiek: | 0-5 |
Liczebność próby: | 2675 |
Bibliografia: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Typ ankiety: | Dane obserwowane |
Bibliografia: | 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) |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². | |
Do gromadzenia tych danych mogły być zastosowane różne metodologie, a zatem dane z różnych badań mogą nie być ściśle porównywalne. Sprawdź w oryginalnych źródłach danych, jakie metodologie zostały zastosowane |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Typ ankiety: | Dane obserwowane |
Bibliografia: | 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) |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². | |
Do gromadzenia tych danych mogły być zastosowane różne metodologie, a zatem dane z różnych badań mogą nie być ściśle porównywalne. Sprawdź w oryginalnych źródłach danych, jakie metodologie zostały zastosowane |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, wybrane kraje
Mężczyźni
Bibliografia: | 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) |
Do gromadzenia tych danych mogły być zastosowane różne metodologie, a zatem dane z różnych badań mogą nie być ściśle porównywalne. Sprawdź w oryginalnych źródłach danych, jakie metodologie zostały zastosowane |
Kobiety
Bibliografia: | 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) |
Do gromadzenia tych danych mogły być zastosowane różne metodologie, a zatem dane z różnych badań mogą nie być ściśle porównywalne. Sprawdź w oryginalnych źródłach danych, jakie metodologie zostały zastosowane |
Nadwaga/otyłość według wykształcenia
Dorośli, 2018
Typ ankiety: | Dane obserwowane |
Wiek: | 18-69 |
Liczebność próby: | 7985 |
Objęty obszar: | Krajowe |
Bibliografia: | 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) |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2017-2018
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 18328 |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Mężczyźni, 2017-2018
Typ ankiety: | Dane obserwowane |
Wiek: | 18+ |
Liczebność próby: | 5533 |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2014
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 16478 |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Dziewczęta, 2014
Typ ankiety: | Dane obserwowane |
Wiek: | 15-19 |
Liczebność próby: | 1188 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Definicje (dostępne tylko w języku angielskim): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
Liczebność próby: | 22011 |
Bibliografia: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2017-2018
Liczebność próby: | 8113 |
Bibliografia: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2014
Liczebność próby: | 7369 |
Bibliografia: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2012-2013
Liczebność próby: | 19640 |
Bibliografia: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2011
Liczebność próby: | 7944 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2007
Liczebność próby: | 5344 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2004
Liczebność próby: | 6083 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1999-1900
Liczebność próby: | 5490 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1996-1997
Liczebność próby: | 4880 |
Bibliografia: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Nadwaga/otyłość według wieku
Dorośli, 2018
Typ ankiety: | Dane obserwowane |
Liczebność próby: | 7985 |
Objęty obszar: | Krajowe |
Bibliografia: | 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) |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2017-2018
Typ ankiety: | Dane obserwowane |
Liczebność próby: | 18328 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Mężczyźni, 2017-2018
Typ ankiety: | Dane obserwowane |
Liczebność próby: | 5533 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2014
Typ ankiety: | Dane obserwowane |
Liczebność próby: | 16478 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Dzieci, 2018-2019
Typ ankiety: | Dane obserwowane |
Liczebność próby: | 9772 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Nadwaga/otyłość według regionu
Dorośli, 2018
Typ ankiety: | Dane obserwowane |
Wiek: | 18-69 |
Liczebność próby: | 7985 |
Objęty obszar: | Krajowe |
Bibliografia: | 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) |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2017-2018
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 18328 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Mężczyźni, 2017-2018
Typ ankiety: | Dane obserwowane |
Wiek: | 18+ |
Liczebność próby: | 5533 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2014
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 16478 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2014
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 16478 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Chłopcy, 2018-2019
Typ ankiety: | Dane obserwowane |
Wiek: | 10-19 |
Liczebność próby: | 9772 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Dziewczęta, 2018-2019
Typ ankiety: | Dane obserwowane |
Wiek: | 10-19 |
Liczebność próby: | 9772 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Chłopcy, 2009
Typ ankiety: | Dane obserwowane |
Wiek: | 6-15 |
Liczebność próby: | 10135 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Z score cut-offs used |
Cutoffs: | Other |
Dziewczęta, 2009
Typ ankiety: | Dane obserwowane |
Wiek: | 6-15 |
Liczebność próby: | 10135 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | Z score cut-offs used |
Cutoffs: | Other |
Infants, 2019
Liczebność próby: | 22011 |
Bibliografia: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2017-2018
Liczebność próby: | 8113 |
Bibliografia: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2014
Liczebność próby: | 7369 |
Bibliografia: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2013
Liczebność próby: | 4029 |
Bibliografia: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2012-2013
Liczebność próby: | 19640 |
Bibliografia: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2011
Liczebność próby: | 7944 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2007
Liczebność próby: | 5344 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2004
Liczebność próby: | 6083 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1999-1900
Liczebność próby: | 5490 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1996-1997
Liczebność próby: | 4880 |
Bibliografia: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Nadwaga/otyłość według grupy społeczno-ekonomicznej
Dorośli, 2018
Typ ankiety: | Dane obserwowane |
Wiek: | 18-69 |
Liczebność próby: | 7985 |
Objęty obszar: | Krajowe |
Bibliografia: | 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) |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2017-2018
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 18328 |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Mężczyźni, 2017-2018
Typ ankiety: | Dane obserwowane |
Wiek: | 18+ |
Liczebność próby: | 5533 |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Kobiety, 2014
Typ ankiety: | Dane obserwowane |
Wiek: | 15-49 |
Liczebność próby: | 16478 |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Uwagi: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
O ile nie zaznaczono inaczej, nadwaga odnosi się do BMI między 25 kg a 29,9 kg/m², otyłość odnosi się do BMI powyżej 30 kg/m². |
Chłopcy, 2018-2019
Typ ankiety: | Dane obserwowane |
Wiek: | 10-19 |
Liczebność próby: | 9772 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Dziewczęta, 2018-2019
Typ ankiety: | Dane obserwowane |
Wiek: | 10-19 |
Liczebność próby: | 9772 |
Objęty obszar: | Krajowe |
Bibliografia: | 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. |
Uwagi: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Infants, 2019
Liczebność próby: | 22011 |
Bibliografia: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2017-2018
Liczebność próby: | 8113 |
Bibliografia: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2014
Liczebność próby: | 7369 |
Bibliografia: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2013
Liczebność próby: | 4029 |
Bibliografia: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2012-2013
Liczebność próby: | 19640 |
Bibliografia: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2011
Liczebność próby: | 7944 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2007
Liczebność próby: | 5344 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 2004
Liczebność próby: | 6083 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1999-1900
Liczebność próby: | 5490 |
Bibliografia: | 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 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Infants, 1996-1997
Liczebność próby: | 4880 |
Bibliografia: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Uwagi: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definicje (dostępne tylko w języku angielskim): | =>+2SD |
Niewystarczająca aktywność fizyczna
Dorośli, 2016
Bibliografia: | 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 |
Mężczyźni, 2016
Bibliografia: | 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 |
Kobiety, 2016
Bibliografia: | 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 |
Dzieci, 2016
Typ ankiety: | Dane deklarowane |
Wiek: | 11-17 |
Bibliografia: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Uwagi: | % 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. |
Definicje (dostępne tylko w języku angielskim): | % Adolescents insufficiently active (age standardised estimate) |
Chłopcy, 2016
Typ ankiety: | Dane deklarowane |
Wiek: | 11-17 |
Bibliografia: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Uwagi: | % 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. |
Definicje (dostępne tylko w języku angielskim): | % Adolescents insufficiently active (age standardised estimate) |
Dziewczęta, 2016
Typ ankiety: | Dane deklarowane |
Wiek: | 11-17 |
Bibliografia: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Uwagi: | % 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. |
Definicje (dostępne tylko w języku angielskim): | % Adolescents insufficiently active (age standardised estimate) |
Średnia dzienna częstotliwość spożycia gazowanych napojów bezalkoholowych
Dzieci, 2014-2015
Typ ankiety: | Dane obserwowane |
Wiek: | 12-17 |
Bibliografia: | 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
Dorośli, 2017
Typ ankiety: | Dane obserwowane |
Wiek: | 25+ |
Bibliografia: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definicje (dostępne tylko w języku angielskim): | Estimated per-capita fruit intake (g/day) |
Liczba osób spożywających owoce rzadziej niż raz dziennie
Dzieci, 2008-2015
Typ ankiety: | Dane obserwowane |
Wiek: | 12-17 |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Liczba osób spożywających warzywa rzadziej niż raz dziennie
Dzieci, 2008-2015
Typ ankiety: | Dane obserwowane |
Wiek: | 12-17 |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Średnia tygodniowa częstotliwość spożywania fast foodów
Dzieci, 2014-2015
Wiek: | 12-17 |
Bibliografia: | 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 |
Szacunkowe spożycie przetworzonego mięsa na mieszkańca
Dorośli, 2017
Typ ankiety: | Dane obserwowane |
Wiek: | 25+ |
Bibliografia: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definicje (dostępne tylko w języku angielskim): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Dorośli, 2017
Typ ankiety: | Dane obserwowane |
Wiek: | 25+ |
Bibliografia: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definicje (dostępne tylko w języku angielskim): | Estimated per-capita whole grains intake (g/day) |
Zdrowie psychiczne – zaburzenia depresyjne
Dorośli, 2015
Bibliografia: | 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. |
Definicje (dostępne tylko w języku angielskim): | % of population with depression disorders |
Zdrowie psychiczne – zaburzenia lękowe
Dorośli, 2015
Bibliografia: | 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. |
Definicje (dostępne tylko w języku angielskim): | % of population with anxiety disorders |
Udział procentowy niemowląt karmionych wyłącznie piersią, 0–5 miesięcy
Infants, 2015-2022
Bibliografia: | Bangladesh Demographic Health Survey 2022 |
Uwagi: | 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. |
Rak przełyku
Mężczyźni, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Indicence per 100,000 |
Kobiety, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Indicence per 100,000 |
Mężczyźni, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Kobiety, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Rak piersi
Kobiety, 2022
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Incidence per 100,000 |
Rak jelita grubego
Mężczyźni, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Incidence per 100,000 |
Kobiety, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Incidence per 100,000 |
Mężczyźni, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Kobiety, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Rak trzustki
Mężczyźni, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Incidence per 100,000 |
Kobiety, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Incidence per 100,000 |
Mężczyźni, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Kobiety, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Rak pęcherzyka żółciowego
Mężczyźni, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Indicence per 100,000 |
Kobiety, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Indicence per 100,000 |
Mężczyźni, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Kobiety, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Rak nerki
Mężczyźni, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Incidence per 100,000 |
Kobiety, 2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Incidence per 100,000 |
Mężczyźni, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Kobiety, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Rak macicy
Kobiety, 2022
Wiek: | 20+ |
Bibliografia: | 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] |
Definicje (dostępne tylko w języku angielskim): | Incidence per 100,000 |
Kobiety, 2020-2022
Wiek: | 20+ |
Objęty obszar: | Krajowe |
Bibliografia: | 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 |
Definicje (dostępne tylko w języku angielskim): | Age-standardized indicence rates per 100 000 |
Podwyższone ciśnienie tętnicze
Dorośli, 2015
Bibliografia: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definicje (dostępne tylko w języku angielskim): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mężczyźni, 2015
Bibliografia: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definicje (dostępne tylko w języku angielskim): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kobiety, 2015
Bibliografia: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definicje (dostępne tylko w języku angielskim): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Podwyższony poziom cholesterolu
Dorośli, 2008
Bibliografia: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definicje (dostępne tylko w języku angielskim): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mężczyźni, 2008
Bibliografia: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definicje (dostępne tylko w języku angielskim): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kobiety, 2008
Bibliografia: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definicje (dostępne tylko w języku angielskim): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Podwyższony poziom glukozy we krwi na czczo
Mężczyźni, 2014
Bibliografia: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definicje (dostępne tylko w języku angielskim): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Kobiety, 2014
Bibliografia: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definicje (dostępne tylko w języku angielskim): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Występowanie cukrzycy
Dorośli, 2021
Wiek: | 20-79 |
Objęty obszar: | Krajowe |
Bibliografia: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definicje (dostępne tylko w języku angielskim): | Age-adjusted comparative prevalence of diabetes, % |
Dorośli, 2019
Wiek: | 20-79 |
Bibliografia: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definicje (dostępne tylko w języku angielskim): | Diabetes age-adjusted comparative prevalence (%). |
Dorośli, 2017
Bibliografia: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definicje (dostępne tylko w języku angielskim): | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Absent |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Absent |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Incoming |
Mandatory limit of trans fats in place (all settings)? | Incoming |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
Guidelines/policy on obesity treatment? | Absent |
Promotion of breastfeeding? | Absent |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions