Бангладеш
Lower-middle income
- Общ преглед
- РазпроÑтранение на затлъÑÑ‚Ñването
- Тенденции във времето
- Разбивки на наÑелението
- Причини
- СъпътÑтващи заболÑваниÑ
- ИкономичеÑко въздейÑтвие
- Политики
- Contextual factors
РазпроÑтранение на затлъÑÑ‚Ñването
Тенденции във времето
Report cards
Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.
Разбивки на наÑелението
Причини
ÐедоÑтатъчна активноÑÑ‚
КонÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° безалкохолни напитки
КонÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° плодове
КонÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° зеленчуци
КонÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° храни от Ð·Ð°Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð·Ð° бързо хранене
КонÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° преработено меÑо
КонÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° зърнени култури
ДепреÑиÑ
ТревожноÑÑ‚
Причини за затлъÑÑ‚Ñването »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Кърмене
Unaffordable diet
ИзтеглÑне на карта за отчитане
СъпътÑтващи заболÑваниÑ
Рак на хранопровода
Рак на гърдата
Колоректален рак
Рак на панкреаÑа
Рак на Ð¶Ð»ÑŠÑ‡Ð½Ð¸Ñ Ð¼ÐµÑ…ÑƒÑ€
Рак на бъбреците
Рак на матката
Повишено кръвно налÑгане
Повишен холеÑтерол
Повишена кръвна захар на гладно
Преобладаване на диабета
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
ИзтеглÑне на карта за отчитане
ИкономичеÑко въздейÑтвие
Политики
Contextual factors
РазпроÑтранение на затлъÑÑ‚Ñването
ВъзраÑтни, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 13970 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Забележки: | 8279 Women, 5691 Men |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
ВъзраÑтни, 2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 18-69 |
| КоличеÑтво на пробите: | 7985 |
| Обхваната зона: | Ðационално |
| Референции: | 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) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
ВъзраÑтни, 2017-2018
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 23861 |
| Обхваната зона: | Ðационално |
| Референции: | 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) |
| Забележки: | 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. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2014
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 16478 |
| Обхваната зона: | Ðационално |
| Референции: | 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) |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
ВъзраÑтни, 2011
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 17416 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2007
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 10021 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Other married women 15 - 49 years. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 1995-1996
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 3997 |
| Референции: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Забележки: | 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 |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Момичета, 2022
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-19 |
| КоличеÑтво на пробите: | 705 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ОпределениÑ: | >1 <2 SD (overweight) +2 SD (obesity) |
| Cutoffs: | WHO 2007 |
Деца, 2019-2020
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-19 |
| КоличеÑтво на пробите: | 9128 |
| Обхваната зона: | Ðационално |
| Референции: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Забележки: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Деца, 2018-2019
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 10-19 |
| КоличеÑтво на пробите: | 9772 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | 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 |
Деца, 2014
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 13-17 |
| КоличеÑтво на пробите: | 2989 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
Деца, 2009
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 6-15 |
| КоличеÑтво на пробите: | 10135 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Z score BMI cut-offs used |
| Cutoffs: | WHO |
0-5 years, 2022
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 4254 |
| Обхваната зона: | Ðационално |
| Референции: | Bangladesh Demographic Health Survey 2022 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| ОпределениÑ: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 22011 |
| Референции: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2018-2019
| ВъзраÑÑ‚: | 0-5 |
| Референции: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2017-2018
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 8113 |
| Референции: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2015
| ВъзраÑÑ‚: | 0-5 |
| Референции: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2014
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 7369 |
| Референции: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2014
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 0-5 |
| Обхваната зона: | Ðационално |
| Референции: | State of food security and nutrition in Bangladesh: 2014 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| ОпределениÑ: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2013
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 4029 |
| Референции: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2012-2013
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 19640 |
| Референции: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2011
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 7944 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2011-2012
| ВъзраÑÑ‚: | 0-5 |
| Референции: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2007
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 5344 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2006
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 24302 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2005
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 74758 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2004
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 6083 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2003
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 86999 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2002
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 53315 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2001
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 63444 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1999
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 49374 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1999-1900
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 5490 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1998
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 49496 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1996
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 81067 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1996-1997
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 4880 |
| Референции: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1995
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 87051 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1994
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 63753 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1993
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 42826 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1992
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 36997 |
| Референции: | 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. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1991
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 32493 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1989-1990
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 1914 |
| Референции: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1985-1986
| ВъзраÑÑ‚: | 0-5 |
| КоличеÑтво на пробите: | 2675 |
| Референции: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2022
????
| ??? ??????: | ???????? |
| ??????????: | 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. 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) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ?????????: | Aged 15-49 except in 2022 (aged 20-49) |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
% Adults living with overweight or obesity in Bangladesh 1995-2022
????
| ??? ??????: | ???????? |
| ??????????: | 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. 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) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ?????????: | Aged 15-49 except in 2022 (aged 20-49) |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, ??????? ???????
????
| ??????????: | 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: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 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: 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: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 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: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: 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/ (last accessed 19.11.25) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
????
| ??????????: | 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: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 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: 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: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 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: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: 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/ (last accessed 19.11.25) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
Ðаднормено тегло/затлъÑÑ‚Ñване по образование
Мъже, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 13970 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 13970 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
ВъзраÑтни, 2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 18-69 |
| КоличеÑтво на пробите: | 7985 |
| Обхваната зона: | Ðационално |
| Референции: | 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) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2017-2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 18328 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Мъже, 2017-2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 18+ |
| КоличеÑтво на пробите: | 5533 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2014
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 16478 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Момичета, 2014
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-19 |
| КоличеÑтво на пробите: | 1188 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| ОпределениÑ: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 4077 |
| Обхваната зона: | Ðационално |
| Референции: | Bangladesh Demographic Health Survey 2022 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| ОпределениÑ: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 4313 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +2 SD |
0-5 years, 2019
| КоличеÑтво на пробите: | 22011 |
| Референции: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2017-2018
| КоличеÑтво на пробите: | 8113 |
| Референции: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2014
| КоличеÑтво на пробите: | 7369 |
| Референции: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2012-2013
| КоличеÑтво на пробите: | 19640 |
| Референции: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2011
| КоличеÑтво на пробите: | 7944 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2007
| КоличеÑтво на пробите: | 5344 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2004
| КоличеÑтво на пробите: | 6083 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1999-2000
| КоличеÑтво на пробите: | 5490 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1996-1997
| КоличеÑтво на пробите: | 4880 |
| Референции: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
?????????? ?????/???????????? ?? ???????
?????????, 2022
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 13970 |
| ????????? ????: | ?????????? |
| ??????????: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
?????????, 2018
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 7985 |
| ????????? ????: | ?????????? |
| ??????????: | 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) |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
????, 2017-2018
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 18328 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
????, 2017-2018
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 5533 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
????, 2014
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 16478 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
????, 2019-2020
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 9128 |
| ????????? ????: | ?????????? |
| ??????????: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| ?????????: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
????, 2018-2019
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 9772 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Ðаднормено тегло/затлъÑÑ‚Ñване по регион
Мъже, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 13970 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 13970 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
ВъзраÑтни, 2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 18-69 |
| КоличеÑтво на пробите: | 7985 |
| Обхваната зона: | Ðационално |
| Референции: | 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) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2017-2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 18328 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Мъже, 2017-2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 18+ |
| КоличеÑтво на пробите: | 5533 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2014
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 16478 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2014
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 16478 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Момичета, 2022
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-19 |
| КоличеÑтво на пробите: | 705 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +1SD to 2SD />2SD |
Деца, 2019-2020
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-19 |
| КоличеÑтво на пробите: | 9128 |
| Обхваната зона: | Ðационално |
| Референции: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Забележки: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Момчета, 2018-2019
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 10-19 |
| КоличеÑтво на пробите: | 9772 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Момичета, 2018-2019
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 10-19 |
| КоличеÑтво на пробите: | 9772 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Момчета, 2009
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 6-15 |
| КоличеÑтво на пробите: | 10135 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Z score cut-offs used |
| Cutoffs: | Other |
Момичета, 2009
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 6-15 |
| КоличеÑтво на пробите: | 10135 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | Z score cut-offs used |
| Cutoffs: | Other |
0-5 years, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 4254 |
| Обхваната зона: | Ðационално |
| Референции: | Bangladesh Demographic Health Survey 2022 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| ОпределениÑ: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| КоличеÑтво на пробите: | 22011 |
| Референции: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2017-2018
| КоличеÑтво на пробите: | 8113 |
| Референции: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2014
| КоличеÑтво на пробите: | 7369 |
| Референции: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2013
| КоличеÑтво на пробите: | 4029 |
| Референции: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2012-2013
| КоличеÑтво на пробите: | 19640 |
| Референции: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2011
| КоличеÑтво на пробите: | 7944 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2007
| КоличеÑтво на пробите: | 5344 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2004
| КоличеÑтво на пробите: | 6083 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1999-1900
| КоличеÑтво на пробите: | 5490 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1996-1997
| КоличеÑтво на пробите: | 4880 |
| Референции: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
Ðаднормено тегло/затлъÑÑ‚Ñване по Ñоциално-икономичеÑка група
Мъже, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 13970 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 13970 |
| Обхваната зона: | Ðационално |
| Референции: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
ВъзраÑтни, 2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 18-69 |
| КоличеÑтво на пробите: | 7985 |
| Обхваната зона: | Ðационално |
| Референции: | 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) |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2017-2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 18328 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Мъже, 2017-2018
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 18+ |
| КоличеÑтво на пробите: | 5533 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2014
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-49 |
| КоличеÑтво на пробите: | 16478 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Деца, 2019-2020
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 15-19 |
| КоличеÑтво на пробите: | 9128 |
| Обхваната зона: | Ðационално |
| Референции: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Забележки: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Момчета, 2018-2019
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 10-19 |
| КоличеÑтво на пробите: | 9772 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Момичета, 2018-2019
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 10-19 |
| КоличеÑтво на пробите: | 9772 |
| Обхваната зона: | Ðационално |
| Референции: | 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. |
| Забележки: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
0-5 years, 2022
| Тип анкета: | Измерено |
| КоличеÑтво на пробите: | 4254 |
| Обхваната зона: | Ðационално |
| Референции: | Bangladesh Demographic Health Survey 2022 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| ОпределениÑ: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| КоличеÑтво на пробите: | 22011 |
| Референции: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2017-2018
| КоличеÑтво на пробите: | 8113 |
| Референции: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2014
| КоличеÑтво на пробите: | 7369 |
| Референции: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2013
| КоличеÑтво на пробите: | 4029 |
| Референции: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2012-2013
| КоличеÑтво на пробите: | 19640 |
| Референции: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2011
| КоличеÑтво на пробите: | 7944 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2007
| КоличеÑтво на пробите: | 5344 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 2004
| КоличеÑтво на пробите: | 6083 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1999-1900
| КоличеÑтво на пробите: | 5490 |
| Референции: | 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 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
0-5 years, 1996-1997
| КоличеÑтво на пробите: | 4880 |
| Референции: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ОпределениÑ: | =>+2SD |
Double burden of underweight & overweight
?????????, 2022
| ??? ??????: | ???????? |
| ???????: | 20+ |
| ??????????: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| ?????????: | Age Standardised estimates |
| ???????????: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
????, 2022
| ??? ??????: | ???????? |
| ???????: | 5-19 |
| ??????????: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| ?????????: | Age standardised estimates |
| ???????????: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Bangladesh Demographic Health Survey 2022 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2019
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2017-2018
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2014
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2007
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | 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 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2004
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1999-2000
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | 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 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1996-1997
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
ÐедоÑтатъчна физичеÑка активноÑÑ‚
ВъзраÑтни, 2022
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 18+ |
| Обхваната зона: | Ðационално |
| Референции: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| ОпределениÑ: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Мъже, 2022
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 18+ |
| Обхваната зона: | Ðационално |
| Референции: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| ОпределениÑ: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Жени, 2022
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 18+ |
| Обхваната зона: | Ðационално |
| Референции: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| ОпределениÑ: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
ВъзраÑтни, 2016
| Референции: | 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 |
Мъже, 2016
| Референции: | 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 |
Жени, 2016
| Референции: | 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 |
Деца, 2016
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Забележки: | % 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. |
| ОпределениÑ: | % Adolescents insufficiently active (age standardised estimate) |
Момчета, 2016
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Забележки: | % 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. |
| ОпределениÑ: | % Adolescents insufficiently active (age standardised estimate) |
Момичета, 2016
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Забележки: | % 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. |
| ОпределениÑ: | % Adolescents insufficiently active (age standardised estimate) |
Средна дневна чеÑтота на конÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° газирани безалкохолни напитки
Деца, 2014-2015
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 12-17 |
| Референции: | 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
?????????, 2017
| ???????: | 25+ |
| ????????? ????: | ?????????? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ???????????: | Estimated per capita fruit intake (g/day) |
Преобладаване на по-малко от дневна конÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° плодове
Деца, 2014
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 12-17 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Преобладаване на по-малко от дневна конÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° зеленчуци
Деца, 2014
| Тип анкета: | Самоотчитане |
| ВъзраÑÑ‚: | 12-17 |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Средна Ñедмична чеÑтота на конÑÑƒÐ¼Ð°Ñ†Ð¸Ñ Ð½Ð° храни в Ð·Ð°Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð·Ð° бързо хранене
Деца, 2014-2015
| ВъзраÑÑ‚: | 12-17 |
| Референции: | 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 processed meat intake
ВъзраÑтни, 2017
| ВъзраÑÑ‚: | 25+ |
| Обхваната зона: | Ðационално |
| Референции: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ОпределениÑ: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
ВъзраÑтни, 2017
| Тип анкета: | Измерено |
| ВъзраÑÑ‚: | 25+ |
| Референции: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ОпределениÑ: | Estimated per-capita whole grains intake (g/day) |
ПÑихично здраве – депреÑивни разÑтройÑтва
ВъзраÑтни, 2021
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ОпределениÑ: | Number living with depression per 100,000 population (adults 20+ years) |
Мъже, 2021
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ОпределениÑ: | Number living with depression per 100,000 population (adults 20+ years) |
Жени, 2021
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ОпределениÑ: | Number living with depression per 100,000 population (adults 20+ years) |
ВъзраÑтни, 2015
| Референции: | 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. |
| ОпределениÑ: | % of population with depression disorders |
Деца, 2021
| Обхваната зона: | Ðационално |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ОпределениÑ: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Момчета, 2021
| Обхваната зона: | Ðационално |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ОпределениÑ: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Момичета, 2021
| Обхваната зона: | Ðационално |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ОпределениÑ: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
ПÑихично здраве – тревожни разÑтройÑтва
ВъзраÑтни, 2021
| ВъзраÑÑ‚: | 20+ |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| ОпределениÑ: | Number living with anxiety per 100,000 population |
Мъже, 2021
| ВъзраÑÑ‚: | 20+ |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| ОпределениÑ: | Number living with anxiety per 100,000 population |
Жени, 2021
| ВъзраÑÑ‚: | 20+ |
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| ОпределениÑ: | Number living with anxiety per 100,000 population |
ВъзраÑтни, 2015
| Референции: | 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. |
| ОпределениÑ: | % of population with anxiety disorders |
Деца, 2021
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Момчета, 2021
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Момичета, 2021
| Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% Бебета, хранени изключително Ñ ÐºÑŠÑ€Ð¼Ð° 0-5 меÑеца
0-5 years, 2015-2022
| Референции: | Bangladesh Demographic Health Survey 2022 |
| Забележки: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
ВъзраÑтни, 2024
| Обхваната зона: | Ðационално |
| Референции: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Забележки: | The percent of the population whose food budget is below the cost of a healthy diet. |
ВъзраÑтни, 2022
| Обхваната зона: | Ðационално |
| Референции: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Рак на хранопровода
Мъже, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Indicence per 100,000 |
Жени, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Indicence per 100,000 |
Мъже, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Жени, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Рак на гърдата
Жени, 2022
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Колоректален рак
Мъже, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Жени, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Мъже, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Жени, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Рак на панкреаÑа
Мъже, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Жени, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Мъже, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Жени, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Рак на Ð¶Ð»ÑŠÑ‡Ð½Ð¸Ñ Ð¼ÐµÑ…ÑƒÑ€
Мъже, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Indicence per 100,000 |
Жени, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Indicence per 100,000 |
Мъже, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Жени, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Рак на бъбреците
Мъже, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Жени, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Мъже, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Жени, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Рак на матката
Жени, 2022
| ВъзраÑÑ‚: | 20+ |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Жени, 2020
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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 |
| ОпределениÑ: | Age-standardized indicence rates per 100 000 |
Повишено кръвно налÑгане
ВъзраÑтни, 2015
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ОпределениÑ: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Мъже, 2015
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ОпределениÑ: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Жени, 2015
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ОпределениÑ: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Повишен холеÑтерол
ВъзраÑтни, 2008
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ОпределениÑ: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Мъже, 2008
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ОпределениÑ: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Жени, 2008
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ОпределениÑ: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
???????? ?????? ????? ?? ??????
????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| ???????????: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| ???????????: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????????????? ?? ???????
?????????, 2024
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
?????????, 2021
| ???????: | 20-79 |
| ????????? ????: | ?????????? |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| ???????????: | Age-adjusted comparative prevalence of diabetes, % |
?????????, 2019
| ???????: | 20-79 |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| ???????????: | Diabetes age-adjusted comparative prevalence (%). |
?????????, 2017
| ??????????: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| ???????????: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
????, 2022
| ???????: | 20+ |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
Leukemia
Мъже, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Жени, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
| ОÑвен ако не е поÑочено друго, наднорменото тегло Ñе отнаÑÑ Ð´Ð¾ ИТМ между 25 kg и 29,9°kg/m², затлъÑÑ‚Ñването Ñе отнаÑÑ Ð´Ð¾ ИТМ, по-голÑм от 30°. | |
Liver and intrahepatic bile duct Cancer
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
Multiple Myeloma
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Indicence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Indicence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
Non Hodgkin Lymphoma
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
Thyroid Cancer
Мъже, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Жени, 2022
| ВъзраÑÑ‚: | 20+ |
| Обхваната зона: | Ðационално |
| Референции: | 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] |
| ОпределениÑ: | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Incoming |
| Mandatory limit of trans fats in place (all settings)? | Incoming |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Absent |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Absent |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions