Peru
- Översikt
- Förekomst av fetma
- Trender över tid
- Befolkningsfördelningar
- Drivande faktorer
- Komorbiditeter
- Ekonomisk påverkan
- Policyer (endast tillgängliga på engelska)
- Contextual factors
Laddar data – vänligen vänta...
Nationell fetmarisk *7,5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Risk vid fetma hos barn *7/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Förekomst av fetma
Trender över tid
Ladda ner rapportkort
Rapportkortet samlar all den senaste grafiken för detta land. Om du vill skapa en anpassad rapport baserad på vald grafik trycker du bara på knappen Lägg till i anpassad PDF under den grafik du vill använda.Befolkningsfördelningar
Drivande faktorer
Otillräcklig aktivitet
Intag av läskedryck
Fruktkonsumtion
Grönsakskonsumtion
Konsumtion av snabbmat
Konsumtion av förädlat kött
Konsumtion av spannmål
Depression
Ångest
Rötter till fetma »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Amning
Ladda ner rapportkort
Komorbiditeter
Ekonomisk påverkan
Policyer (endast tillgängliga på engelska)
Contextual factors
Förekomst av fetma
Kvinnor, 2022
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 35787 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2020
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 21362 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Anteckningar: | This appears measured but took place during COVID 19 and may have included telephone survey responses |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2017-2018
Undersökningstyp: | Uppmätt |
Ålder: | 18-59 |
Urvalsstorlek: | 1084 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 23495 |
Område som omfattas: | Nationell |
Referenser: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2013
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 21700 |
Område som omfattas: | Nationell |
Referenser: | Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 22866 |
Område som omfattas: | Nationell |
Referenser: | Instituto Nacional de Estadística e Informática - INEI/Perú. 2013. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2012. Lima, Perú: INEI/Peru. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2012-2013
Undersökningstyp: | Uppmätt |
Ålder: | 20+ |
Urvalsstorlek: | 20535 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 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)' |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2007-2008
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 20192 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2000
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 8372 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 1998-2000
Undersökningstyp: | Uppmätt |
Ålder: | 18-59 |
Urvalsstorlek: | 2337 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 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)' |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 1992
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 5200 |
Referenser: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Anteckningar: | 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 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2013-2014
Undersökningstyp: | Uppmätt |
Ålder: | 5-13 |
Urvalsstorlek: | 2801 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | WHO Cut off Used |
Cutoffs: | WHO |
Barn, 2010
Undersökningstyp: | Egenanställd |
Ålder: | 13-15 |
Urvalsstorlek: | 2882 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Anteckningar: | WHO cutoffs. |
Cutoffs: | WHO |
Barn, 2009
Undersökningstyp: | Uppmätt |
Ålder: | 7-8 |
Urvalsstorlek: | 1737 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | 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 |
Barn, 2002
Undersökningstyp: | Uppmätt |
Ålder: | 7-8 |
Urvalsstorlek: | 710 |
Referenser: | 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. |
Anteckningar: | IOTF Cut-off |
Cutoffs: | IOTF |
% vuxna som lever med fetma, 1992-2022
Undersökningstyp: | Uppmätt |
Referenser: | 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 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². | |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
% vuxna som lever med övervikt eller fetma, 1992-2022
Undersökningstyp: | Uppmätt |
Referenser: | 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 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². | |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
% vuxna som lever med fetma, valda länder, 1960-2022
Män
Referenser: | 1960, 1971, 1973, 1976, 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1992, 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: 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. 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 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: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2005: Cayemittes, Michel, Marie Florence Placide, Soumaïla Mariko, Bernard Barrère, Blaise Sévère, and Canez Alexandre. 2007. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2005-2006. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population, Institut Haïtien de l’Enfance and Macro International. 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: 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. 2008: Ramirez-Zea M, Kroker-Lobos MF, Close-Fernandez R, Kanter R. The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations. Am J Clin Nutr. 2014 Dec;100(6):1644S-51S. doi: 10.3945/ajcn.114.083857 2009: 2nd 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 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 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: Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. 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: Encuesta Nacional de Salud. Chile. 2016-2017 https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf (Last accessed 04.08.20) 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: Bahamas STEPS Survey (Preliminary results) https://www.bahamas.gov.bs/wps/wcm/connect/891fac39-ad7d-4aa8-ac54-39912a1afcea/Preliminary+Factsheet+v7+%28med+resl%27n%29.pdf?MOD=AJPERES (Accessed 03.11.2020) 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 |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
Kvinnor
Referenser: | 1960, 1971, 1973, 1976, 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1992, 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: 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. 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 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: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2005: Cayemittes, Michel, Marie Florence Placide, Soumaïla Mariko, Bernard Barrère, Blaise Sévère, and Canez Alexandre. 2007. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2005-2006. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population, Institut Haïtien de l’Enfance and Macro International. 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: 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. 2008: Ramirez-Zea M, Kroker-Lobos MF, Close-Fernandez R, Kanter R. The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations. Am J Clin Nutr. 2014 Dec;100(6):1644S-51S. doi: 10.3945/ajcn.114.083857 2009: 2nd 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 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 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: Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. 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: Encuesta Nacional de Salud. Chile. 2016-2017 https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf (Last accessed 04.08.20) 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: Bahamas STEPS Survey (Preliminary results) https://www.bahamas.gov.bs/wps/wcm/connect/891fac39-ad7d-4aa8-ac54-39912a1afcea/Preliminary+Factsheet+v7+%28med+resl%27n%29.pdf?MOD=AJPERES (Accessed 03.11.2020) 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 |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
Övervikt/fetma efter ålder och utbildning
Kvinnor, 2020
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 21362 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | Some self report data may have been included due to COVID 19 pandemic |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 23497 |
Område som omfattas: | Nationell |
Referenser: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2008
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 22151 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2013-2014
Undersökningstyp: | Uppmätt |
Ålder: | 5-13 |
Urvalsstorlek: | 2801 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | WHO Cut Off Points Used Education based on Parental educational status |
Cutoffs: | WHO |
Barn, 2009
Undersökningstyp: | Uppmätt |
Ålder: | 7-8 |
Urvalsstorlek: | 1737 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | 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 |
Övervikt/fetma efter ålder
Kvinnor, 2020
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 21362 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | Possibiility of some self report data included as collated during COVID 19 Pandemic |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2017-2018
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 1084 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 23497 |
Område som omfattas: | Nationell |
Referenser: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2012-2013
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 20535 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2013-2014
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 2801 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | WHO Cut Off Points Used |
Cutoffs: | WHO |
Övervikt/fetma efter ålder och region
Kvinnor, 2022
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 35787 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2017-2018
Undersökningstyp: | Uppmätt |
Ålder: | 18-59 |
Urvalsstorlek: | 1084 |
Område som omfattas: | Nationell |
Referenser: | 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) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 23497 |
Område som omfattas: | Nationell |
Referenser: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 23497 |
Område som omfattas: | Nationell |
Referenser: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2012-2013
Undersökningstyp: | Uppmätt |
Ålder: | 20+ |
Urvalsstorlek: | 20535 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2008
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 22151 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2013-2014
Undersökningstyp: | Uppmätt |
Ålder: | 5-13 |
Urvalsstorlek: | 2801 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | WHO Cut Off Points Used |
Cutoffs: | WHO |
Barn, 2009
Undersökningstyp: | Uppmätt |
Ålder: | 7-8 |
Urvalsstorlek: | 1737 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | 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 |
Övervikt/fetma efter ålder och socioekonomisk grupp
Kvinnor, 2020
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 21362 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | May include some self report data as surveys completed during COVID 19 Pandemic |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2014
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 23497 |
Område som omfattas: | Nationell |
Referenser: | Instituto Nacional de Estadística e Informática - INE/Perú. 2015. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: INEI/Perú. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2008
Undersökningstyp: | Uppmätt |
Ålder: | 15-49 |
Urvalsstorlek: | 22151 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2013-2014
Undersökningstyp: | Uppmätt |
Ålder: | 5-13 |
Urvalsstorlek: | 2801 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | WHO Cut Off Points Used |
Cutoffs: | WHO |
Barn, 2009
Undersökningstyp: | Uppmätt |
Ålder: | 7-8 |
Urvalsstorlek: | 1737 |
Område som omfattas: | Nationell |
Referenser: | 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 |
Anteckningar: | 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 |
Otillräcklig fysisk aktivitet
Barn, 2016
Undersökningstyp: | Egenanställd |
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Pojkar, 2016
Undersökningstyp: | Egenanställd |
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Flickor, 2016
Undersökningstyp: | Egenanställd |
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Barn, 2010
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Pojkar, 2010
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Flickor, 2010
Ålder: | 11-17 |
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Anteckningar: | % 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. |
Definitioner (endast tillgängliga på engelska): | % Adolescents insufficiently active (age standardised estimate) |
Genomsnittligt dagligt intag av kolsyrad läskedryck
Barn, 2009-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita fruit intake (g/day) |
Förekomst av mindre än daglig fruktkonsumtion
Barn, 2009-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Förekomst av mindre än daglig konsumtion av grönsaker
Barn, 2009-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Genomsnittligt veckovist intag av snabbmat
Barn, 2009-2015
Ålder: | 12-17 |
Referenser: | 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 |
Uppskattat intag av kött per capita
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita whole grains intake (g/day) |
Psykisk hälsa - depression
Vuxna, 2015
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with depression disorders |
Psykisk hälsa - ångeststörningar
Vuxna, 2015
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with anxiety disorders |
% Spädbarn som uteslutande ammas 0-5 månader
Barn, 1998-2019
Område som omfattas: | Nationell |
Referenser: | Encuesta Demográfica y de Salud Familiar-ENDES 2019 Nacional y Departamental |
Anteckningar: | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Definitioner (endast tillgängliga på engelska): | % exclusively breastfed 0-5 months |
Esofageal cancer
Män, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Bröstcancer
Kvinnor, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kolorektalcancer
Män, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Pankreascancer
Män, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Gallblåsecancer
Män, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Njurcancer
Män, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Livmoderhalscancer
Kvinnor, 2020
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Förhöjt blodtryck
Vuxna, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Män, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kvinnor, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Förhöjt kolesterol
Vuxna, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Män, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kvinnor, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Förhöjt fastande blodglukos
Män, 2014
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Kvinnor, 2014
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Förekomst av diabetes
Vuxna, 2021
Ålder: | 20-79 |
Område som omfattas: | Nationell |
Referenser: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Age-adjusted comparative prevalence of diabetes, % |
Vuxna, 2019
Ålder: | 20-79 |
Referenser: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Diabetes age-adjusted comparative prevalence (%). |
Vuxna, 2017
Referenser: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | 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 |
Guidelines/policy on obesity treatment? | 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
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated February 6, 2023
Download contextual factors as a PDF Contextual factors definitions