Argentina
- Oversigt
- Fedmeprævalens
- Tendenser over tid
- Befolkningsfordeling
- Chauffører
- Komorbiditet
- Økonomisk indvirkning
- Politikker
- Contextual factors
Indlæser data – vent venligst
National fedmerisiko *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.Risiko for fedme i barndommen *8,5/11This 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).
Fedmeprævalens
Tendenser over tid
Download rapportkort
Rapportkortet samler al den nyeste grafik for dette land. Hvis du vil producere en brugerdefineret rapport baseret på valgt grafik, skal du bare trykke på knappen Føj til brugerdefineret PDF under den grafik, du vil bruge.Befolkningsfordeling
Chauffører
Utilstrækkelig aktivitet
Indtag af sodavand
Frugtindtag
Grøntsagsforbrug
Indtag af fastfood
Indtag af forarbejdet kød
Indtag af korn
Depression
Angst
Rødder til fedme »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.amning
Download rapportkort
Komorbiditet
Økonomisk indvirkning
Politikker
National fedmestrategi
Ernærings- eller sundhedsstrategi
Markedsføring
Fysisk aktivitet
Skat på/tilskud til mad- eller drikkevarer
Mærkning
NCD-strategi
Multidisciplinary Intervention
Retningslinjer for ledelse eller behandling
School Food Regulations
amning
Obesity Target
Multisectoral national mechanism for obesity
Download rapportkort
Contextual factors
Fedmeprævalens
Voksne, 2018
Undersøgelsestype: | Målt |
Alder: | 18+ |
Prøvens størrelse: | 16577 |
Area covered: | National |
Referencer: | 4° Encuesta Nacional de Factores de Riesgo. Resultados definitivos. 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) |
Noter (kun tilgængelige på engelsk): | Self report data also available in report. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2018-2019
Undersøgelsestype: | Målt |
Alder: | 18+ |
Prøvens størrelse: | 7367 |
Area covered: | Regional (by) |
Referencer: | 2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21) |
Noter (kun tilgængelige på engelsk): | Representative of 6 urban regions in Argentina. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2018
Undersøgelsestype: | Selvrapporteret |
Alder: | 18+ |
Prøvens størrelse: | 5000 |
Area covered: | National |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | Trend also available by Region |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2013
Undersøgelsestype: | Selvrapporteret |
Alder: | 18+ |
Prøvens størrelse: | 32365 |
Area covered: | National |
Referencer: | Third National Survey of Risk Factors for Noncommunicable Diseases. Argentina 2013. https://www.indec.gob.ar/ftp/cuadros/publicaciones/publicacion_enfr_2013.rar (Accessed 24.08.23) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2012-2013
Undersøgelsestype: | Målt |
Alder: | 18-70 |
Prøvens størrelse: | 1194 |
Area covered: | Regional |
Referencer: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Noter (kun tilgængelige på engelsk): | Subnational (Rosario) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2009
Undersøgelsestype: | Selvrapporteret |
Alder: | 18+ |
Referencer: | 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 |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2005
Undersøgelsestype: | Selvrapporteret |
Alder: | 18+ |
Referencer: | 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 |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2003
Undersøgelsestype: | Målt |
Alder: | 18-65 |
Prøvens størrelse: | 1100 |
Area covered: | Sub National |
Referencer: | Virgolini M, & Ferrante D. Validación de la Herramienta de la OPS para vigilancia de ENT en Argentina 2003. Ministerio de Salud y Ambiente de la Nación. WHO Report. (unpublished work). |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 1997
Undersøgelsestype: | Målt |
Alder: | 20-79 |
Prøvens størrelse: | Not specified |
Referencer: | Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196. Personal Communication by Prof. Rafael Figueredo Grijalba |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Børn, 2018-2019
Undersøgelsestype: | Målt |
Alder: | 5-17 |
Prøvens størrelse: | ~8000 |
Area covered: | Regional (by) |
Referencer: | 2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21) |
Noter (kun tilgængelige på engelsk): | Representative of 6 urban regions in Argentina. |
Cutoffs: | WHO |
Børn, 2018
Undersøgelsestype: | Selvrapporteret |
Alder: | 13-15 |
Prøvens størrelse: | 56981 |
Area covered: | National |
Referencer: | Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Cutoffs: | WHO |
Børn, 2012
Undersøgelsestype: | Selvrapporteret |
Alder: | 13-15 |
Prøvens størrelse: | 28368 |
Area covered: | National |
Referencer: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) |
Noter (kun tilgængelige på engelsk): | WHO cutoffs. |
Cutoffs: | WHO |
Børn, 2007
Undersøgelsestype: | Selvrapporteret |
Alder: | 13-15 |
Prøvens størrelse: | 1980 |
Area covered: | National |
Referencer: | Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 |
Cutoffs: | WHO |
Børn, 2005
Undersøgelsestype: | Målt |
Alder: | 10 |
Prøvens størrelse: | 1693 |
Area covered: | Byområde |
Referencer: | Kovalskys I, Rausch Herscovici C, De Gregorio MJ. Nutritional status of school-aged children of Buenos Aires, Argentina: data using three references.J Public Health (Oxf). 2011 Sep;33(3):403-11. doi: 10.1093/pubmed/fdq079. Epub 2010 Oct 12. |
Noter (kun tilgængelige på engelsk): | IOTF International Cut Off Points Children Aged 11 years also available in the paper |
Cutoffs: | IOTF |
% voksne, der lever med fedme, 2005-2018
Men and women
Undersøgelsestype: | Selvrapporteret |
Referencer: | 1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². | |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
% børn, der lever med fedme, 2007-2018
Piger
Undersøgelsestype: | Selvrapporteret |
Referencer: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². | |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
Drenge
Undersøgelsestype: | Selvrapporteret |
Referencer: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². | |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
Boys and girls
Undersøgelsestype: | Selvrapporteret |
Referencer: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². | |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
% voksne, der lever med fedme, udvalgte lande, 1960-2022
Mænd
Referencer: | 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 |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
Kvinder
Referencer: | 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 |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
Overvægt/fedme efter uddannelse
Voksne, 2018
Undersøgelsestype: | Målt |
Alder: | 18+ |
Prøvens størrelse: | 16577 |
Area covered: | National |
Referencer: | 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) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Mænd, 2012-2013
Undersøgelsestype: | Målt |
Prøvens størrelse: | 1194 |
Area covered: | Subnational (Rosario) |
Referencer: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2012-2013
Undersøgelsestype: | Målt |
Prøvens størrelse: | 1194 |
Area covered: | Subnational (Rosario) |
Referencer: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2005
Undersøgelsestype: | Selvrapporteret |
Alder: | 18+ |
Prøvens størrelse: | 41392 |
Area covered: | National |
Referencer: | "De Maio FG, Linetzky B, Virgolini M. An average/deprivation/inequality (ADI) analysis of chronic disease outcomes and risk factors in Argentina. Popul Health Metr. 2009 Jun 8;7:8. doi: 10.1186/1478-7954-7-8." |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Overvægt/fedme efter alder
Voksne, 2018
Undersøgelsestype: | Målt |
Prøvens størrelse: | 16577 |
Area covered: | National |
Referencer: | 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) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Overvægt/fedme efter socioøkonomisk gruppe
Voksne, 2018
Undersøgelsestype: | Målt |
Alder: | 18+ |
Prøvens størrelse: | 16577 |
Area covered: | National |
Referencer: | 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) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2005-2012
Undersøgelsestype: | Målt |
Alder: | 18+ |
Prøvens størrelse: | 4328 |
Area covered: | Córdoba (the capital city of the state of Córdoba in the centre of Argentina) |
Referencer: | Aballay LR, Osella AR, De La Quintana AG, and Diaz MP. Nutritional profile and obesity: results from a random sample population based study in Córdoba, Argentina. Eur J Nutr DOI 10.1007/s00394-015-0887-0 |
Noter (kun tilgængelige på engelsk): | Socio-economic status (SES) was built as a composite indicator following the Argentine Marketing Association’s guidelines, which include four domains: educational level, job, housing, and amenities. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Utilstrækkelig fysisk aktivitet
Voksne, 2016
Referencer: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Mænd, 2016
Referencer: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Kvinder, 2016
Referencer: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Børn, 2016
Undersøgelsestype: | Selvrapporteret |
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noter (kun tilgængelige på engelsk): | % 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 (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Drenge, 2016
Undersøgelsestype: | Selvrapporteret |
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noter (kun tilgængelige på engelsk): | % 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 (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Piger, 2016
Undersøgelsestype: | Selvrapporteret |
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noter (kun tilgængelige på engelsk): | % 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 (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Børn, 2010
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Noter (kun tilgængelige på engelsk): | % 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 (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Drenge, 2010
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Noter (kun tilgængelige på engelsk): | % 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 (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Piger, 2010
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Noter (kun tilgængelige på engelsk): | % 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 (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Gennemsnitlig daglig hyppighed af indtagelse af kulsyreholdige læskedrikke
Børn, 2009-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita fruit intake (g/day) |
Forekomst af indtag af frugt mindre end dagligt
Børn, 2009-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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 (kun tilgængelig på engelsk): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Forekomst af indtag af grøntsager mindre end dagligt
Børn, 2009-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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 (kun tilgængelig på engelsk): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Gennemsnitlig ugentlig hyppighed af indtagelse af fastfood
Børn, 2009-2015
Alder: | 12-17 |
Referencer: | 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 |
Anslået indtag af forarbejdet kød pr. indbygger
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita whole grains intake (g/day) |
Psykisk sundhed – depressionslidelser
Voksne, 2015
Referencer: | 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 (kun tilgængelig på engelsk): | % of population with depression disorders |
Psykisk sundhed – angstlidelser
Voksne, 2015
Referencer: | 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 (kun tilgængelig på engelsk): | % of population with anxiety disorders |
% spædbørn, som udelukkende er ammet 0-5 måneder
Børn, 1998-2019
Area covered: | National |
Referencer: | Encuesta de Indicadores Múltiples por Conglomerados 2011/2012, Informe Final. Buenos Aires, Argentina |
Noter (kun tilgængelige på engelsk): | 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 (kun tilgængelig på engelsk): | % exclusively breastfed 0-5 months |
Kræft i spiserøret
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Brystkræft
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Tarmkræft
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kræft i bugspytkirtlen
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kræft i galdeblæren
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Nyrekræft
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Livmoderkræft
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 10.01.2031 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Forhøjet blodtryk
Voksne, 2015
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mænd, 2015
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kvinder, 2015
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Forhøjet kolesterol
Voksne, 2008
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (kun tilgængelig på engelsk): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mænd, 2008
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (kun tilgængelig på engelsk): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kvinder, 2008
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (kun tilgængelig på engelsk): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Forhøjet fasteblodsukkerniveau
Mænd, 2014
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Kvinder, 2014
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetesprævalens
Voksne, 2021
Alder: | 20-79 |
Area covered: | National |
Referencer: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definitioner (kun tilgængelig på engelsk): | Age-adjusted comparative prevalence of diabetes, % |
Voksne, 2019
Alder: | 20-79 |
Referencer: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitioner (kun tilgængelig på engelsk): | Diabetes age-adjusted comparative prevalence (%). |
Voksne, 2017
Referencer: | 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 (kun tilgængelig på engelsk): | 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? | Present |
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)? | Incoming |
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? | Present |
National obesity strategy? | Present |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Present |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
Guidelines/policy on obesity treatment? | Present |
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? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated January 31, 2023
Download contextual factors as a PDF Contextual factors definitions