Перу
Upper-middle income
- Общ преглед
- Разпространение на затлъстяването
- Тенденции във времето
- Разбивки на населението
- Причини
- Съпътстващи заболявания
- Икономическо въздействие
- Политики
- Contextual factors
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 населението
Причини
Недостатъчна активност
Консумация на безалкохолни напитки
Консумация на плодове
Консумация на зеленчуци
Консумация на храни от заведения за бързо хранене
Консумация на преработено месо
Консумация на зърнени култури
Депресия
Тревожност
Причини за затлъстяването »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Кърмене
Unaffordable diet
Изтегляне на карта за отчитане
Съпътстващи заболявания
Рак на хранопровода
Рак на гърдата
Колоректален рак
Рак на панкреаса
Рак на жлъчния мехур
Рак на бъбреците
Рак на матката
Повишено кръвно налягане
Повишен холестерол
Повишена кръвна захар на гладно
Преобладаване на диабета
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Изтегляне на карта за отчитане
Икономическо въздействие
Политики
Contextual factors
Разпространение на затлъстяването
Жени, 2022
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 35787 |
Обхваната зона: | Национално |
Референции: | Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2020
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 21362 |
Обхваната зона: | Национално |
Референции: | INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) |
Забележки: | This appears measured but took place during COVID 19 and may have included telephone survey responses |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2017-2018
Тип анкета: | Измерено |
Възраст: | 18-59 |
Количество на пробите: | 1084 |
Обхваната зона: | Национално |
Референции: | Informe Técnico de la Vigilancia Alimentaria Nutricional por Etapas de Vida: Adultos. MINISTERIO DE SALUD DEL PERÚ Available at https://web.ins.gob.pe/sites/default/files/Archivos/cenan/van/sala_nutricional/sala_3/2021/Informe%20Tecnico-%20Estado%20nutricional%20en%20adultos%20de%2018%20a%2059%20a%C3%B1os%2CVIANEV%202017-2018.pdf (last accessed 12.04.23) |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2014
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 23495 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2013
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 21700 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2012
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 22866 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INEI/Perú. 2013. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2012. Lima, Perú: INEI/Peru. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2012-2013
Тип анкета: | Измерено |
Възраст: | 20+ |
Количество на пробите: | 20535 |
Обхваната зона: | Национално |
Референции: | Pajuelo, Jaime & Torres, Harold & Rebatta, Fernando & Zamora, Rosa. (2019). Obesidad no morbida y morbida del adulto en el Perú, 1975 - 2013. Anales de la Facultad de Medicina. 80. 317-21. 10.15381/anales.803.16851. |
Забележки: | NB. Combined adult 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)' |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2007-2008
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 20192 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INEI/Peru and ORC Macro. 2009. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2007-2008. Lima, Perú: INEI/Peru and ORC Macro. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2000
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 8372 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadistica e Informática - INEI/Perú and Macro International. 2001. Perú Encuesta Demográfica y de Salud Familiar 2000. Lima, Perú: INEI/Perú and Macro International. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 1998-2000
Тип анкета: | Измерено |
Възраст: | 18-59 |
Количество на пробите: | 2337 |
Обхваната зона: | Национално |
Референции: | Jacoby E, Goldstein J, Lopez A, Nunez E and Lopez T. (2003). Social class, family and life-style factors associated with overweight and obesity among adults in Peruvian cities. Reventative Medicine, 37: 396 - 405. |
Забележки: | NB. Combined adult 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 19.10.20)' |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 1992
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 5200 |
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 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Деца, 2013-2014
Тип анкета: | Измерено |
Възраст: | 5-13 |
Количество на пробите: | 2801 |
Обхваната зона: | Национално |
Референции: | Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 ¬ï https://doi.org/10.15446/rsap.V20n2.68082 |
Забележки: | WHO Cut off Used |
Cutoffs: | WHO |
Деца, 2010
Тип анкета: | Самоотчитане |
Възраст: | 13-15 |
Количество на пробите: | 2882 |
Обхваната зона: | Национално |
Референции: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/2010_GSHS_FS_Peru.pdf?ua=1 (last accessed 25.11.20) |
Забележки: | WHO cutoffs. |
Cutoffs: | WHO |
Деца, 2009
Тип анкета: | Измерено |
Възраст: | 7-8 |
Количество на пробите: | 1737 |
Обхваната зона: | Национално |
Референции: | Preston EC, Ariana P, Penny ME, Frost M, Plugge E. Prevalence of childhood overweight and obesity and associated factors in Peru. Rev Panam Salud Publica. 2015;38(6):472-8 |
Забележки: | Prevalence of overweight and obesity by Maternal Education. Prevalence of overweight and obesity was assessed using body mass index-for age Z-scores. The 2007 World Health Organization (WHO) international growth reference curves for children 5–19 years of age described by De Onis were used to compare children of the same age and gender. “Overweight” and “Obese” variables were defined as BMI-for-age Z-scores of ≥ 1 and ≥ 2, respectively. |
Cutoffs: | WHO |
Деца, 2002
Тип анкета: | Измерено |
Възраст: | 7-8 |
Количество на пробите: | 710 |
Референции: | Carrillo-Larco RM, Miranda JJ, Bernabe-Ortiz A. Wealth index and risk of childhood overweight and obesity: evidence from four prospective cohorts in Peru and Vietnam. Int J Public Health, 2015 Nov 24. |
Забележки: | IOTF Cut-off |
Cutoffs: | IOTF |
0-5 years, 2021
Възраст: | 0-5 |
Количество на пробите: | 7678 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2021 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2020-2021
Възраст: | 0-5 |
Количество на пробите: | 6203 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2020 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2019
Възраст: | 0-5 |
Количество на пробите: | 8291 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2019 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2018
Възраст: | 0-5 |
Количество на пробите: | 8839 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2018 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2017
Възраст: | 0-5 |
Количество на пробите: | 9262 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2017 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2016
Възраст: | 0-5 |
Количество на пробите: | 10517 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2016 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2015
Възраст: | 0-5 |
Количество на пробите: | 11080 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2015 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2014
Възраст: | 0-5 |
Количество на пробите: | 9117 |
Референции: | CDHS: Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
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. |
Определения: | =>+2SD |
0-5 years, 2013
Възраст: | 0-5 |
Количество на пробите: | 8259 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2013. Demographic and Health Surveys. Lima, Peru: INEI, 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. |
Определения: | =>+2SD |
0-5 years, 2012
Възраст: | 0-5 |
Количество на пробите: | 9175 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2012. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 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. |
Определения: | =>+2SD |
0-5 years, 2011
Възраст: | 0-5 |
Количество на пробите: | 8850 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2011. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2012 |
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. |
Определения: | =>+2SD |
Момичета, 2011
Възраст: | 0-5 |
Количество на пробите: | 8851 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2011. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2012 |
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. |
Определения: | =>+2SD |
0-5 years, 2011-2012
Възраст: | 0-5 |
Количество на пробите: | 1999573 |
Референции: | Other: Monitoreo de Indicadores Nutricionales en la Encuesta Nacional de Hogares, Peru 2011 y 2012 |
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. |
Определения: | =>+2SD |
0-5 years, 2010
Възраст: | 0-5 |
Количество на пробите: | 8682 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2010. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2011 |
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. |
Определения: | =>+2SD |
0-5 years, 2009
Възраст: | 0-5 |
Количество на пробите: | 9129 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2009. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2010 |
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. |
Определения: | =>+2SD |
0-5 years, 2009-2011
Възраст: | 0-5 |
Количество на пробите: | 2465357 |
Референции: | Other: Monitoreo de Indicadores Nutricionales en la Encuesta Nacional de Hogares 2009 y 2011 |
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. |
Определения: | =>+2SD |
0-5 years, 2007-2008
Възраст: | 0-5 |
Количество на пробите: | 7818 |
Референции: | CDHS: Encuesta demografica y de salud familiar. Informe principal: ENDES continua 2007-2008. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 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. |
Определения: | =>+2SD |
0-5 years, 2005
Възраст: | 0-5 |
Количество на пробите: | 1889 |
Референции: | CDHS: Perú Encuesta Demográfica y de Salud Familiar - ENDES Continua 2005. Lima, Perú: INEI/Peru and ORC Macro |
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. |
Определения: | =>+2SD |
0-5 years, 2000
Възраст: | 0-5 |
Количество на пробите: | 10514 |
Референции: | DHS: Encuesta demografica y de salud familiar 2000. Demographic and Health Surveys. Lima, Peru and Calverton, Maryland, USA: Instituto Nacional de Estadistica e Informacion y 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. |
Определения: | =>+2SD |
Момичета, 2000
Възраст: | 0-5 |
Количество на пробите: | 10515 |
Референции: | DHS: Encuesta demografica y de salud familiar 2000. Demographic and Health Surveys. Lima, Peru and Calverton, Maryland, USA: Instituto Nacional de Estadistica e Informacion y 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. |
Определения: | =>+2SD |
0-5 years, 1996
Възраст: | 0-5 |
Количество на пробите: | 13513 |
Референции: | DHS: Peru demographic and health survey 1996. Demographic and Health Surveys. Instituto Nacional de Estadistica e Informacion. Lima, Peru, 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. |
Определения: | =>+2SD |
0-5 years, 1991-1992
Възраст: | 0-5 |
Количество на пробите: | 7098 |
Референции: | DHS: Encuesta demografica y de salud familiar 1991/1992. Demographic and Health Surveys. Lima, Peru, 1992 |
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. |
Определения: | =>+2SD |
% Adults living with obesity in Peru 1992-2014
Тип анкета: | Измерено |
Референции: | 1992: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: Instituto Nacional de Estadistica e Informática - INEI/Perú and Macro International. 2001. Perú Encuesta Demográfica y de Salud Familiar 2000. Lima, Perú: INEI/Perú and Macro International. 2007: Instituto Nacional de Estadística e Informática - INEI/Peru and ORC Macro. 2009. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2007-2008. Lima, Perú: INEI/Peru and ORC Macro. 2013: Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. 2014: Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии |
% Adults living with overweight or obesity in Peru 1992-2014
Тип анкета: | Измерено |
Референции: | 1992: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: Instituto Nacional de Estadistica e Informática - INEI/Perú and Macro International. 2001. Perú Encuesta Demográfica y de Salud Familiar 2000. Lima, Perú: INEI/Perú and Macro International. 2007: Instituto Nacional de Estadística e Informática - INEI/Peru and ORC Macro. 2009. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2007-2008. Lima, Perú: INEI/Peru and ORC Macro. 2013: Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. 2014: Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии |
% Adults living with obesity in selected countries in the Americas Region 1960-2018, избрани държави
Мъже
Референции: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии |
Жени
Референции: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии |
Наднормено тегло/затлъстяване по образование
Жени, 2020
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 21362 |
Обхваната зона: | Национално |
Референции: | INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23 |
Забележки: | Some self report data may have been included due to COVID 19 pandemic |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2014
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 23497 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2008
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 22151 |
Обхваната зона: | Национално |
Референции: | Poterico JA, Stanojevic S, Ruiz P, Bernabe-Ortiz A, Miranda JJ. The Association between Socioeconomic Status and Obesity in Peruvian Women. Obesity (Silver Spring, Md). 2012;20(11):2283-2289. doi:10.1038/oby.2011.288. |
Забележки: | Education level, based on the number of years of education attained, was categorized separately into quartiles for rural and urban areas, and merged into a single variable. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Деца, 2013-2014
Тип анкета: | Измерено |
Възраст: | 5-13 |
Количество на пробите: | 2801 |
Обхваната зона: | Национално |
Референции: | Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 ¬ï https://doi.org/10.15446/rsap.V20n2.68082 |
Забележки: | WHO Cut Off Points Used Education based on Parental educational status |
Cutoffs: | WHO |
Деца, 2009
Тип анкета: | Измерено |
Възраст: | 7-8 |
Количество на пробите: | 1737 |
Обхваната зона: | Национално |
Референции: | Preston EC, Ariana P, Penny ME, Frost M, Plugge E. Prevalence of childhood overweight and obesity and associated factors in Peru. Rev Panam Salud Publica. 2015;38(6):472-8 |
Забележки: | Prevalence of overweight and obesity by Maternal Education. Prevalence of overweight and obesity was assessed using body mass index-for age Z-scores. The 2007 World Health Organization (WHO) international growth reference curves for children 5–19 years of age described by De Onis were used to compare children of the same age and gender. “Overweight” and “Obese” variables were defined as BMI-for-age Z-scores of ≥ 1 and ≥ 2, respectively. |
Cutoffs: | WHO |
0-5 years, 2020-2021
Количество на пробите: | 6203 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2020 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2019
Количество на пробите: | 8291 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2019 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2018
Количество на пробите: | 8839 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2018 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2017
Количество на пробите: | 9262 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2017 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2016
Количество на пробите: | 10517 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2016 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2015
Количество на пробите: | 11080 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2015 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2014
Количество на пробите: | 9117 |
Референции: | CDHS: Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
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. |
Определения: | =>+2SD |
0-5 years, 2013
Количество на пробите: | 8259 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2013. Demographic and Health Surveys. Lima, Peru: INEI, 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. |
Определения: | =>+2SD |
0-5 years, 2012
Количество на пробите: | 9175 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2012. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 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. |
Определения: | =>+2SD |
0-5 years, 2011
Количество на пробите: | 8850 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2011. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2012 |
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. |
Определения: | =>+2SD |
0-5 years, 2010
Количество на пробите: | 8682 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2010. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2011 |
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. |
Определения: | =>+2SD |
0-5 years, 2009
Количество на пробите: | 9129 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2009. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2010 |
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. |
Определения: | =>+2SD |
0-5 years, 2007-2008
Количество на пробите: | 7818 |
Референции: | CDHS: Encuesta demografica y de salud familiar. Informe principal: ENDES continua 2007-2008. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 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. |
Определения: | =>+2SD |
0-5 years, 2005
Количество на пробите: | 1889 |
Референции: | CDHS: Perú Encuesta Demográfica y de Salud Familiar - ENDES Continua 2005. Lima, Perú: INEI/Peru and ORC Macro |
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. |
Определения: | =>+2SD |
0-5 years, 2000
Количество на пробите: | 10514 |
Референции: | DHS: Encuesta demografica y de salud familiar 2000. Demographic and Health Surveys. Lima, Peru and Calverton, Maryland, USA: Instituto Nacional de Estadistica e Informacion y 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. |
Определения: | =>+2SD |
0-5 years, 1996
Количество на пробите: | 13513 |
Референции: | DHS: Peru demographic and health survey 1996. Demographic and Health Surveys. Instituto Nacional de Estadistica e Informacion. Lima, Peru, 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. |
Определения: | =>+2SD |
0-5 years, 1991-1992
Количество на пробите: | 7098 |
Референции: | DHS: Encuesta demografica y de salud familiar 1991/1992. Demographic and Health Surveys. Lima, Peru, 1992 |
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. |
Определения: | =>+2SD |
Наднормено тегло/затлъстяване по възраст
Жени, 2020
Тип анкета: | Измерено |
Количество на пробите: | 21362 |
Обхваната зона: | Национално |
Референции: | INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23 |
Забележки: | Possibiility of some self report data included as collated during COVID 19 Pandemic |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2017-2018
Тип анкета: | Измерено |
Количество на пробите: | 1084 |
Обхваната зона: | Национално |
Референции: | Informe Técnico de la Vigilancia Alimentaria Nutricional por Etapas de Vida: Adultos. MINISTERIO DE SALUD DEL PERÚ Available at https://web.ins.gob.pe/sites/default/files/Archivos/cenan/van/sala_nutricional/sala_3/2021/Informe%20Tecnico-%20Estado%20nutricional%20en%20adultos%20de%2018%20a%2059%20a%C3%B1os%2CVIANEV%202017-2018.pdf (last accessed 12.04.23) |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2014
Тип анкета: | Измерено |
Количество на пробите: | 23497 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2012-2013
Тип анкета: | Измерено |
Количество на пробите: | 20535 |
Обхваната зона: | Национално |
Референции: | Pajuelo, Jaime & Torres, Harold & Rebatta, Fernando & Zamora, Rosa. (2019). Obesidad no morbida y morbida del adulto en el Perú, 1975 - 2013. Anales de la Facultad de Medicina. 80. 317-21. 10.15381/anales.803.16851. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Деца, 2013-2014
Тип анкета: | Измерено |
Количество на пробите: | 2801 |
Обхваната зона: | Национално |
Референции: | Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 • https://doi.org/10.15446/rsap.V20n2.68082 |
Забележки: | WHO Cut Off Points Used |
Cutoffs: | WHO |
Наднормено тегло/затлъстяване по регион
Жени, 2022
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 35787 |
Обхваната зона: | Национално |
Референции: | Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2017-2018
Тип анкета: | Измерено |
Възраст: | 18-59 |
Количество на пробите: | 1084 |
Обхваната зона: | Национално |
Референции: | Informe Técnico de la Vigilancia Alimentaria Nutricional por Etapas de Vida: Adultos. MINISTERIO DE SALUD DEL PERÚ Available at https://web.ins.gob.pe/sites/default/files/Archivos/cenan/van/sala_nutricional/sala_3/2021/Informe%20Tecnico-%20Estado%20nutricional%20en%20adultos%20de%2018%20a%2059%20a%C3%B1os%2CVIANEV%202017-2018.pdf (last accessed 13.04.23) |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2014
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 23497 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2014
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 23497 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2012-2013
Тип анкета: | Измерено |
Възраст: | 20+ |
Количество на пробите: | 20535 |
Обхваната зона: | Национално |
Референции: | Pajuelo, Jaime & Torres, Harold & Rebatta, Fernando & Zamora, Rosa. (2019). Obesidad no morbida y morbida del adulto en el Perú, 1975 - 2013. Anales de la Facultad de Medicina. 80. 317-21. 10.15381/anales.803.16851. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2008
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 22151 |
Обхваната зона: | Национално |
Референции: | Poterico JA, Stanojevic S, Ruiz P, Bernabe-Ortiz A, Miranda JJ. The Association between Socioeconomic Status and Obesity in Peruvian Women. Obesity (Silver Spring, Md). 2012;20(11):2283-2289. doi:10.1038/oby.2011.288. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Деца, 2013-2014
Тип анкета: | Измерено |
Възраст: | 5-13 |
Количество на пробите: | 2801 |
Обхваната зона: | Национално |
Референции: | Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 • https://doi.org/10.15446/rsap.V20n2.68082 |
Забележки: | WHO Cut Off Points Used |
Cutoffs: | WHO |
Деца, 2009
Тип анкета: | Измерено |
Възраст: | 7-8 |
Количество на пробите: | 1737 |
Обхваната зона: | Национално |
Референции: | Preston EC, Ariana P, Penny ME, Frost M, Plugge E. Prevalence of childhood overweight and obesity and associated factors in Peru. Rev Panam Salud Publica. 2015;38(6):472-8 |
Забележки: | Prevalence of overweight and obesity by Maternal Education. Prevalence of overweight and obesity was assessed using body mass index-for age Z-scores. The 2007 World Health Organization (WHO) international growth reference curves for children 5–19 years of age described by De Onis were used to compare children of the same age and gender. “Overweight” and “Obese” variables were defined as BMI-for-age Z-scores of ≥ 1 and ≥ 2, respectively. |
Cutoffs: | WHO |
0-5 years, 2021
Количество на пробите: | 7678 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2021 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2020-2021
Количество на пробите: | 6203 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2020 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2019
Количество на пробите: | 8291 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2019 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2018
Количество на пробите: | 8839 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2018 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2017
Количество на пробите: | 9262 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2017 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2016
Количество на пробите: | 10517 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2016 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2015
Количество на пробите: | 11080 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2015 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2014
Количество на пробите: | 9117 |
Референции: | CDHS: Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
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. |
Определения: | =>+2SD |
0-5 years, 2013
Количество на пробите: | 8259 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2013. Demographic and Health Surveys. Lima, Peru: INEI, 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. |
Определения: | =>+2SD |
0-5 years, 2012
Количество на пробите: | 9175 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2012. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 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. |
Определения: | =>+2SD |
0-5 years, 2011
Количество на пробите: | 8850 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2011. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2012 |
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. |
Определения: | =>+2SD |
0-5 years, 2011-2012
Количество на пробите: | 1999573 |
Референции: | Other: Monitoreo de Indicadores Nutricionales en la Encuesta Nacional de Hogares, Peru 2011 y 2012 |
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. |
Определения: | =>+2SD |
0-5 years, 2010
Количество на пробите: | 8682 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2010. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2011 |
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. |
Определения: | =>+2SD |
0-5 years, 2009
Количество на пробите: | 9129 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2009. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2010 |
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. |
Определения: | =>+2SD |
0-5 years, 2009-2011
Количество на пробите: | 2465357 |
Референции: | Other: Monitoreo de Indicadores Nutricionales en la Encuesta Nacional de Hogares 2009 y 2011 |
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. |
Определения: | =>+2SD |
0-5 years, 2007-2008
Количество на пробите: | 7818 |
Референции: | CDHS: Encuesta demografica y de salud familiar. Informe principal: ENDES continua 2007-2008. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 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. |
Определения: | =>+2SD |
0-5 years, 2005
Количество на пробите: | 1889 |
Референции: | CDHS: Perú Encuesta Demográfica y de Salud Familiar - ENDES Continua 2005. Lima, Perú: INEI/Peru and ORC Macro |
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. |
Определения: | =>+2SD |
0-5 years, 2000
Количество на пробите: | 10514 |
Референции: | DHS: Encuesta demografica y de salud familiar 2000. Demographic and Health Surveys. Lima, Peru and Calverton, Maryland, USA: Instituto Nacional de Estadistica e Informacion y 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. |
Определения: | =>+2SD |
0-5 years, 1996
Количество на пробите: | 13513 |
Референции: | DHS: Peru demographic and health survey 1996. Demographic and Health Surveys. Instituto Nacional de Estadistica e Informacion. Lima, Peru, 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. |
Определения: | =>+2SD |
0-5 years, 1991-1992
Количество на пробите: | 7098 |
Референции: | DHS: Encuesta demografica y de salud familiar 1991/1992. Demographic and Health Surveys. Lima, Peru, 1992 |
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. |
Определения: | =>+2SD |
Наднормено тегло/затлъстяване по социално-икономическа група
Жени, 2020
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 21362 |
Обхваната зона: | Национално |
Референции: | INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23 |
Забележки: | May include some self report data as surveys completed during COVID 19 Pandemic |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2014
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 23497 |
Обхваната зона: | Национално |
Референции: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2008
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 22151 |
Обхваната зона: | Национално |
Референции: | Poterico JA, Stanojevic S, Ruiz P, Bernabe-Ortiz A, Miranda JJ. The Association between Socioeconomic Status and Obesity in Peruvian Women. Obesity (Silver Spring, Md). 2012;20(11):2283-2289. doi:10.1038/oby.2011.288. |
Забележки: | The possession assets index variable was constructed by the INEI using factor analysis. This variable was subsequently categorized into quartiles separately for rural and urban areas, and then combined into a single variable. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Деца, 2013-2014
Тип анкета: | Измерено |
Възраст: | 5-13 |
Количество на пробите: | 2801 |
Обхваната зона: | Национално |
Референции: | Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 • https://doi.org/10.15446/rsap.V20n2.68082 |
Забележки: | WHO Cut Off Points Used |
Cutoffs: | WHO |
Деца, 2009
Тип анкета: | Измерено |
Възраст: | 7-8 |
Количество на пробите: | 1737 |
Обхваната зона: | Национално |
Референции: | Preston EC, Ariana P, Penny ME, Frost M, Plugge E. Prevalence of childhood overweight and obesity and associated factors in Peru. Rev Panam Salud Publica. 2015;38(6):472-8 |
Забележки: | Prevalence of overweight and obesity by Maternal Education. Prevalence of overweight and obesity was assessed using body mass index-for age Z-scores. The 2007 World Health Organization (WHO) international growth reference curves for children 5–19 years of age described by De Onis were used to compare children of the same age and gender. “Overweight” and “Obese” variables were defined as BMI-for-age Z-scores of ≥ 1 and ≥ 2, respectively. |
Cutoffs: | WHO |
0-5 years, 2021
Количество на пробите: | 7678 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2021 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2020-2021
Количество на пробите: | 6203 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2020 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2019
Количество на пробите: | 8291 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2019 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2018
Количество на пробите: | 8839 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2018 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2017
Количество на пробите: | 9262 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2017 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2016
Количество на пробите: | 10517 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2016 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2015
Количество на пробите: | 11080 |
Референции: | DHS-Style: Encuesta Demográfica y de Salud Familiar-ENDES 2015 Nacional y Departamental |
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. |
Определения: | =>+2SD |
0-5 years, 2014
Количество на пробите: | 9117 |
Референции: | CDHS: Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
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. |
Определения: | =>+2SD |
0-5 years, 2013
Количество на пробите: | 8259 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2013. Demographic and Health Surveys. Lima, Peru: INEI, 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. |
Определения: | =>+2SD |
0-5 years, 2012
Количество на пробите: | 9175 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2012. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 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. |
Определения: | =>+2SD |
0-5 years, 2011
Количество на пробите: | 8850 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2011. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2012 |
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. |
Определения: | =>+2SD |
0-5 years, 2010
Количество на пробите: | 8682 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2010. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2011 |
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. |
Определения: | =>+2SD |
0-5 years, 2009
Количество на пробите: | 9129 |
Референции: | CDHS: Encuesta demografica y de salud familiar - ENDES continua 2009. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 2010 |
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. |
Определения: | =>+2SD |
0-5 years, 2007-2008
Количество на пробите: | 7818 |
Референции: | CDHS: Encuesta demografica y de salud familiar. Informe principal: ENDES continua 2007-2008. Demographic and Health Surveys. Lima, Peru: INEI, USAID y ORC Macro, 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. |
Определения: | =>+2SD |
0-5 years, 2005
Количество на пробите: | 1889 |
Референции: | CDHS: Perú Encuesta Demográfica y de Salud Familiar - ENDES Continua 2005. Lima, Perú: INEI/Peru and ORC Macro |
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. |
Определения: | =>+2SD |
0-5 years, 2000
Количество на пробите: | 10514 |
Референции: | DHS: Encuesta demografica y de salud familiar 2000. Demographic and Health Surveys. Lima, Peru and Calverton, Maryland, USA: Instituto Nacional de Estadistica e Informacion y 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. |
Определения: | =>+2SD |
0-5 years, 1996
Количество на пробите: | 13513 |
Референции: | DHS: Peru demographic and health survey 1996. Demographic and Health Surveys. Instituto Nacional de Estadistica e Informacion. Lima, Peru, 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. |
Определения: | =>+2SD |
0-5 years, 1991-1992
Количество на пробите: | 7098 |
Референции: | DHS: Encuesta demografica y de salud familiar 1991/1992. Demographic and Health Surveys. Lima, Peru, 1992 |
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. |
Определения: | =>+2SD |
Double burden of underweight & overweight
Възрастни, 2022
Тип анкета: | Измерено |
Възраст: | 20+ |
Референции: | 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. |
Забележки: | Age Standardised estimates |
Определения: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Деца, 2022
Тип анкета: | Измерено |
Възраст: | 5-19 |
Референции: | 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. |
Забележки: | Age standardised estimates |
Определения: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2021-2021
Тип анкета: | Измерено |
Възраст: | 0-5 |
Референции: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
Забележки: | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
Недостатъчна физическа активност
Възрастни, 2022
Тип анкета: | Самоотчитане |
Възраст: | 18+ |
Обхваната зона: | Национално |
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)-(-) |
Определения: | 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 |
Възраст: | 18+ |
Обхваната зона: | Национално |
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)-(-) |
Определения: | 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 |
Възраст: | 18+ |
Обхваната зона: | Национално |
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)-(-) |
Определения: | 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. |
Деца, 2016
Тип анкета: | Самоотчитане |
Възраст: | 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. |
Определения: | % Adolescents insufficiently active (age standardised estimate) |
Момчета, 2016
Тип анкета: | Самоотчитане |
Възраст: | 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. |
Определения: | % Adolescents insufficiently active (age standardised estimate) |
Момичета, 2016
Тип анкета: | Самоотчитане |
Възраст: | 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. |
Определения: | % Adolescents insufficiently active (age standardised estimate) |
Деца, 2010
Възраст: | 11-17 |
Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
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. |
Определения: | % Adolescents insufficiently active (age standardised estimate) |
Момчета, 2010
Възраст: | 11-17 |
Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
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. |
Определения: | % Adolescents insufficiently active (age standardised estimate) |
Момичета, 2010
Възраст: | 11-17 |
Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
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. |
Определения: | % Adolescents insufficiently active (age standardised estimate) |
Средна дневна честота на консумация на газирани безалкохолни напитки
Деца, 2009-2015
Тип анкета: | Измерено |
Възраст: | 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
Възрастни, 2017
Тип анкета: | Измерено |
Възраст: | 25+ |
Референции: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Определения: | Estimated per-capita fruit intake (g/day) |
Преобладаване на по-малко от дневна консумация на плодове
Деца, 2009-2015
Тип анкета: | Измерено |
Възраст: | 12-17 |
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 |
Определения: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Преобладаване на по-малко от дневна консумация на зеленчуци
Деца, 2009-2015
Тип анкета: | Измерено |
Възраст: | 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 |
Определения: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Средна седмична честота на консумация на храни в заведения за бързо хранене
Деца, 2009-2015
Възраст: | 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 |
Очакван прием на преработено месо на глава от населението
Възрастни, 2017
Тип анкета: | Измерено |
Възраст: | 25+ |
Референции: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Определения: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Възрастни, 2017
Тип анкета: | Измерено |
Възраст: | 25+ |
Референции: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Определения: | Estimated per-capita whole grains intake (g/day) |
Психично здраве – депресивни разстройства
Възрастни, 2021
Възраст: | 20+ |
Обхваната зона: | Национално |
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) |
Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Мъже, 2021
Възраст: | 20+ |
Обхваната зона: | Национално |
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) |
Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Жени, 2021
Възраст: | 20+ |
Обхваната зона: | Национално |
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) |
Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Възрастни, 2015-2021
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. |
Определения: | % of population with depression disorders |
Възрастни, 2015-2021
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. |
Определения: | % of population with depression disorders |
Мъже, 2015-2021
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. |
Определения: | % of population with depression disorders |
Жени, 2015-2021
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. |
Определения: | % of population with depression disorders |
Деца, 2021
Обхваната зона: | Национално |
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) |
Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Момчета, 2021
Обхваната зона: | Национално |
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) |
Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Момичета, 2021
Обхваната зона: | Национално |
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) |
Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Психично здраве – тревожни разстройства
Възрастни, 2021
Възраст: | 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). |
Определения: | Number living with anxiety per 100,000 population |
Мъже, 2021
Възраст: | 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). |
Определения: | Number living with anxiety per 100,000 population |
Жени, 2021
Възраст: | 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). |
Определения: | Number living with anxiety per 100,000 population |
Възрастни, 2015-2021
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. |
Определения: | % of population with anxiety disorders |
Възрастни, 2015-2021
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. |
Определения: | % of population with anxiety disorders |
Мъже, 2015-2021
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. |
Определения: | % of population with anxiety disorders |
Жени, 2015-2021
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. |
Определения: | % 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 с кърма 0-5 месеца
0-5 years, 1998-2023
Референции: | Peru Encuesta Demográfica y de Salud Familiar-ENDES 2023 Nacional y Departamental |
Забележки: | Full details are available. Original citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2024). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, December 2024. |
0-5 years, 1998-2022
Референции: | Encuesta Demográfica y de Salud Familiar-ENDES 2022 Nacional y Departamental |
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
Възрастни, 2022
Обхваната зона: | Национално |
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
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Indicence per 100,000 |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Indicence per 100,000 |
Мъже, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Жени, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Рак на гърдата
Жени, 2022
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Колоректален рак
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Мъже, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Жени, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Рак на панкреаса
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Мъже, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Жени, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Рак на жлъчния мехур
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Indicence per 100,000 |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Indicence per 100,000 |
Мъже, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Жени, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Рак на бъбреците
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Мъже, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Жени, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Рак на матката
Жени, 2022
Възраст: | 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] |
Определения: | Incidence per 100,000 |
Жени, 2020-2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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 10.01.2281 |
Определения: | Age-standardized indicence rates per 100 000 |
Повишено кръвно налягане
Възрастни, 2015
Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Определения: | 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 |
Определения: | 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 |
Определения: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Повишен холестерол
Възрастни, 2008
Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Определения: | % 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 |
Определения: | % 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 |
Определения: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Повишена кръвна захар на гладно
Мъже, 2014
Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Определения: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Жени, 2014
Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Определения: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Преобладаване на диабета
Възрастни, 2024
Референции: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Възрастни, 2021
Възраст: | 20-79 |
Обхваната зона: | Национално |
Референции: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Определения: | Age-adjusted comparative prevalence of diabetes, % |
Възрастни, 2019
Възраст: | 20-79 |
Референции: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Определения: | Diabetes age-adjusted comparative prevalence (%). |
Възрастни, 2017
Референции: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Определения: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Жени, 2022
Възраст: | 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] |
Определения: | Incidence per 100,000 |
Leukemia
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Leukemia
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Liver and intrahepatic bile duct Cancer
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Multiple Myeloma
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Indicence per 100,000 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Indicence per 100,000 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Non Hodgkin Lymphoma
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Thyroid Cancer
Мъже, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | Incidence per 100,000 |
Жени, 2022
Възраст: | 20+ |
Обхваната зона: | Национално |
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] |
Определения: | 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? | Present |
Front-of-package labelling? | Present |
Back-of-pack nutrition declaration? | Present |
Color coding? | Absent |
Warning label? | Present |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Present |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Present |
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)? | Present |
Mandatory limit of trans fats in place (all settings)? | Present |
Ban on trans-fats or phos in place (all settings)? | Unknown |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
Mandatory restriction on broadcast media? | Present |
Mandatory restriction on non-broadcast media? | Present |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Present |
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? | Present |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
Promotion of breastfeeding? | Present |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Absent |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Unknown |
Key
Last updated February 6, 2023
Download contextual factors as a PDF Contextual factors definitions