Kolumbia
- Yleisnäkymä
- Lihavuuden esiintyvyys
- Trendit eri aikoina
- Väestöjaottelut
- Kuljettajat
- Komorbiditeetti
- Taloudelliset vaikutukset
- Käytännöt
- Contextual factors
Ladataan tietoja, odota hetki
Kansallinen lihavuuden riski *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.Lapsuusajan lihavuuden riski *6,5/11This 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).
Lihavuuden esiintyvyys
Trendit eri aikoina
Lataa raportti
Raportti kokoaa kaikki tämän maan uusimmat grafiikat. Jos haluat tuottaa mukautetun raportin valitun grafiikan perusteella, napauta vain Lisää mukautettuun PDF-tiedostoon -painiketta haluamasi grafiikan alapuolelta.Kuljettajat
Komorbiditeetti
Taloudelliset vaikutukset
Käytännöt
Contextual factors
Lihavuuden esiintyvyys
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18-75 |
Otoksen koko: | 1537 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2015-2016
Tutkimustyyppi: | Mitattu |
Ikä: | 18-64 |
Otoksen koko: | 151343 |
Peittoalue: | Kansallinen |
Viitteet: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Huomiot: | Sample size includes children |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 43723 |
Peittoalue: | Kansallinen |
Viitteet: | Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 18-64 |
Otoksen koko: | 162331 |
Peittoalue: | Kansallinen |
Viitteet: | ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2005
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 38143 |
Peittoalue: | Kansallinen |
Viitteet: | Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2005. Colombia Salud Sexual y Reproductiva: Resultados Encuesta Nacional de Demografía y Salud 2005. Bogotá, Colombia: Profamilia. |
Huomiot: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2005
Tutkimustyyppi: | Mitattu |
Ikä: | 18-64 |
Otoksen koko: | 31105 |
Peittoalue: | Kansallinen |
Viitteet: | Kasper NM, Herrán OF, Villamor E. Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition: 17(11), 2398–2406 doi:10.1017/S1368980013003418 |
Huomiot: | 18679 Females and 12426 Males |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 2000
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 3070 |
Viitteet: | SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Naiset, 1995
Tutkimustyyppi: | Mitattu |
Ikä: | 15-49 |
Otoksen koko: | 3319 |
Viitteet: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Huomiot: | 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 |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Lapset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 5-17 |
Otoksen koko: | 385 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Huomiot: | PLEASE NOTE SMALL SAMPLE SIZE Conflicting age ranges presented in paper. The Child data may be either 2-17 years of 5-17 years. It has been assumed 5-17 years, though author has been contacted to confirm. |
Määritelmät: | Cut offs. 25-59 months BMI for Age Z Score >1 ≤ 3 for overweight, >3 Obesity 5-17 years BMI for Age Z Score >1 ≤ 2 for overweight, > 2 Obesity |
Lapset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 13-17 |
Otoksen koko: | 18177 |
Viitteet: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
Cutoffs: | WHO |
% lihavuuden kanssa eläviä aikuisia, 1995-2010
Tutkimustyyppi: | Mitattu |
Viitteet: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2005: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2005. Colombia Salud Sexual y Reproductiva: Resultados Encuesta Nacional de Demografía y Salud 2005. Bogotá, Colombia: Profamilia. 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. | |
Näiden tietojen keräämisessä on voitu käyttää erilaisia menetelmiä, joten eri tutkimusten tiedot eivät välttämättä ole täysin vertailukelpoisia. Tarkista käytetyt menetelmät alkuperäisistä tietolähteistä |
% ylipainon tai lihavuuden kanssa eläviä aikuisia, 1995-2010
Viitteet: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2005: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2005. Colombia Salud Sexual y Reproductiva: Resultados Encuesta Nacional de Demografía y Salud 2005. Bogotá, Colombia: Profamilia. 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. | |
Näiden tietojen keräämisessä on voitu käyttää erilaisia menetelmiä, joten eri tutkimusten tiedot eivät välttämättä ole täysin vertailukelpoisia. Tarkista käytetyt menetelmät alkuperäisistä tietolähteistä |
% lihavuuden kanssa eläviä aikuisia, valitut maat, 1960-2022
Miehet
Viitteet: | 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 |
Näiden tietojen keräämisessä on voitu käyttää erilaisia menetelmiä, joten eri tutkimusten tiedot eivät välttämättä ole täysin vertailukelpoisia. Tarkista käytetyt menetelmät alkuperäisistä tietolähteistä |
Naiset
Viitteet: | 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 |
Näiden tietojen keräämisessä on voitu käyttää erilaisia menetelmiä, joten eri tutkimusten tiedot eivät välttämättä ole täysin vertailukelpoisia. Tarkista käytetyt menetelmät alkuperäisistä tietolähteistä |
Ylipaino/lihavuus koulutuksen mukaan
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18-75 |
Otoksen koko: | 1537 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Tytöt, 2009-2010
Tutkimustyyppi: | Mitattu |
Ikä: | 15-19 |
Otoksen koko: | 6658 |
Peittoalue: | Kansallinen |
Viitteet: | Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
Määritelmät: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Lapset, 2006
Tutkimustyyppi: | Mitattu |
Ikä: | 5-12 |
Otoksen koko: | 3202 |
Peittoalue: | City of Bogotá |
Viitteet: | McDonald CM, Baylin A, Arsenault JE, Mora-Plazas M, Villamor E. Overweight Is More Prevalent Than Stunting and Is Associated with Socioeconomic Status, Maternal Obesity, and a Snacking Dietary Pattern in School Children from Bogotá, Colombia. The Journal of Nutrition. 2009;139(2):370-376. doi:10.3945/jn.108.098111. |
Huomiot: | Prevalence of overweight and obesity by Maternal Education. The study population is representative of low- and middle-income families from Bogotá, considering that the public school system enrolled 57% of all primary school children in the city by the end of 2005 and 89% of them were from low- and middle-income families. Child overweight or obesity was defined according to BMI cut-off points for sex and age corresponding to ≥25 in adults, following the International Obesity Task Force (IOTF) recommendations |
Cutoffs: | IOTF |
Ylipaino/lihavuus iän mukaan
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 1537 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 15-17 |
Otoksen koko: | 18177 |
Viitteet: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
Huomiot: | WHO Cut off |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2010
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 91115 |
Peittoalue: | Kansallinen |
Viitteet: | Nicole M Kasper, Oscar F Herrán and Eduardo Villamor (2014). Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition, 17, pp 2398-2406. doi:10.1017/S1368980013003418. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Lapset, 2018
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 385 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Huomiot: | PLEASE NOTE SMALL SAMPLE SIZE Conflicting age ranges presented in paper. The Child data may be either 2-17 years of 5-17 years. It has been assumed 5-17 years, though author has been contacted to confirm. Cut offs. 25-59 months BMI for Age Z Score >1 ≤ 3 for overweight, >3 Obesity 5-17 years BMI for Age Z Score >1 ≤ 2 for overweight, > 2 Obesity |
Lapset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 13-14 |
Otoksen koko: | 18177 |
Viitteet: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
Huomiot: | WHO Cut off |
Cutoffs: | WHO |
Lapset, 2006
Tutkimustyyppi: | Mitattu |
Otoksen koko: | 3202 |
Peittoalue: | City of Bogotá |
Viitteet: | McDonald CM, Baylin A, Arsenault JE, Mora-Plazas M, Villamor E. Overweight Is More Prevalent Than Stunting and Is Associated with Socioeconomic Status, Maternal Obesity, and a Snacking Dietary Pattern in School Children from Bogotá, Colombia. The Journal of Nutrition. 2009;139(2):370-376. doi:10.3945/jn.108.098111. |
Huomiot: | The study population is representative of low- and middle-income families from Bogotá, considering that the public school system enrolled 57% of all primary school children in the city by the end of 2005 and 89% of them were from low- and middle-income families. Child overweight or obesity was defined according to BMI cut-off points for sex and age corresponding to ≥25 in adults, following the International Obesity Task Force (IOTF) recommendations |
Cutoffs: | Other |
Ylipaino/lihavuus alueen mukaan
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18-75 |
Otoksen koko: | 1537 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2015-2016
Tutkimustyyppi: | Mitattu |
Ikä: | 18-64 |
Otoksen koko: | 151343 |
Peittoalue: | Kansallinen |
Viitteet: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 18-64 |
Otoksen koko: | 91115 |
Peittoalue: | Kansallinen |
Viitteet: | Nicole M Kasper, Oscar F Herrán and Eduardo Villamor (2014). Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition, 17, pp 2398-2406. doi:10.1017/S1368980013003418. |
Huomiot: | |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 18-64 |
Otoksen koko: | 91115 |
Peittoalue: | Kansallinen |
Viitteet: | Nicole M Kasper, Oscar F Herrán and Eduardo Villamor (2014). Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition, 17, pp 2398-2406. doi:10.1017/S1368980013003418. |
Huomiot: | |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Lapset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 5-17 |
Otoksen koko: | 385 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Huomiot: | PLEASE NOTE SMALL SAMPLE SIZE Conflicting age ranges presented in paper. The Child data may be either 2-17 years of 5-17 years. It has been assumed 5-17 years, though author has been contacted to confirm. Cut offs. 25-59 months BMI for Age Z Score >1 ≤ 3 for overweight, >3 Obesity 5-17 years BMI for Age Z Score >1 ≤ 2 for overweight, > 2 Obesity |
Lapset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 13-17 |
Otoksen koko: | 18177 |
Viitteet: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
Huomiot: | WHO Cut off |
Cutoffs: | WHO |
Ylipaino/lihavuus sosioekonomisen ryhmän mukaan
Aikuiset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 18-75 |
Otoksen koko: | 1537 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Aikuiset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 18-64 |
Otoksen koko: | 91115 |
Peittoalue: | Kansallinen |
Viitteet: | Nicole M Kasper, Oscar F Herrán and Eduardo Villamor (2014). Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition, 17, pp 2398-2406. doi:10.1017/S1368980013003418. |
Huomiot: | Obesity prevalence by wealth index quintile. |
Ellei toisin mainita, ylipaino viittaa kehon painoindeksiin 25–29,9 kg/m², lihavuus viittaa yli 30 kg/m²:n painoindeksiin. |
Lapset, 2018
Tutkimustyyppi: | Mitattu |
Ikä: | 5-17 |
Otoksen koko: | 385 |
Peittoalue: | Kaupunkialue |
Viitteet: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
Huomiot: | PLEASE NOTE SMALL SAMPLE SIZE Conflicting age ranges presented in paper. The Child data may be either 2-17 years of 5-17 years. It has been assumed 5-17 years, though author has been contacted to confirm. Cut offs. 25-59 months BMI for Age Z Score >1 ≤ 3 for overweight, >3 Obesity 5-17 years BMI for Age Z Score >1 ≤ 2 for overweight, > 2 Obesity |
Lapset, 2010
Tutkimustyyppi: | Mitattu |
Ikä: | 13-17 |
Otoksen koko: | 18177 |
Peittoalue: | Kansallinen |
Viitteet: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
Huomiot: | WHO Cut off |
Cutoffs: | WHO |
Lapset, 2006
Tutkimustyyppi: | Mitattu |
Ikä: | 5-12 |
Otoksen koko: | 3202 |
Peittoalue: | City of Bogotá |
Viitteet: | McDonald CM, Baylin A, Arsenault JE, Mora-Plazas M, Villamor E. Overweight Is More Prevalent Than Stunting and Is Associated with Socioeconomic Status, Maternal Obesity, and a Snacking Dietary Pattern in School Children from Bogotá, Colombia. The Journal of Nutrition. 2009;139(2):370-376. doi:10.3945/jn.108.098111. |
Huomiot: | Prevalence of overweight and obesity by household socio-economic stratum. The study population is representative of low- and middle-income families from Bogotá, considering that the public school system enrolled 57% of all primary school children in the city by the end of 2005 and 89% of them were from low- and middle-income families. Child overweight or obesity was defined according to BMI cut-off points for sex and age corresponding to ≥25 in adults, following the International Obesity Task Force (IOTF) recommendations |
Cutoffs: | IOTF |
Riittämätön liikunta
Aikuiset, 2016
Viitteet: | 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 |
Miehet, 2016
Viitteet: | 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 |
Naiset, 2016
Viitteet: | 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 |
Lapset, 2016
Tutkimustyyppi: | Itse ilmoitettu |
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Pojat, 2016
Tutkimustyyppi: | Itse ilmoitettu |
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Tytöt, 2016
Tutkimustyyppi: | Itse ilmoitettu |
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Lapset, 2010
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Pojat, 2010
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Tytöt, 2010
Ikä: | 11-17 |
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Huomiot: | % 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. |
Määritelmät: | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Aikuiset, 2017
Tutkimustyyppi: | Mitattu |
Ikä: | 25+ |
Viitteet: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Määritelmät: | Estimated per-capita fruit intake (g/day) |
Arvioitu lihajalosteiden kulutus henkeä kohti
Aikuiset, 2017
Tutkimustyyppi: | Mitattu |
Ikä: | 25+ |
Viitteet: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Määritelmät: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Aikuiset, 2017
Tutkimustyyppi: | Mitattu |
Ikä: | 25+ |
Viitteet: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Määritelmät: | Estimated per-capita whole grains intake (g/day) |
Mielenterveys – masennustilat
Aikuiset, 2015
Viitteet: | 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. |
Määritelmät: | % of population with depression disorders |
Mielenterveys – ahdistuneisuushäiriöt
Aikuiset, 2015
Viitteet: | 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. |
Määritelmät: | % of population with anxiety disorders |
% vauvoista, joita on pelkästään imetetty 0–5 kk
Lapset, 1998-2019
Peittoalue: | Kansallinen |
Viitteet: | Colombia National Survey of the Nutritional Situation 2015 |
Huomiot: | 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. |
Määritelmät: | % exclusively breastfed 0-5 months |
Ruokatorven syöpä
Miehet, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Rintasyöpä
Naiset, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Paksusuolen syöpä
Miehet, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Haimasyöpä
Miehet, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Sappirakon syöpä
Miehet, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Munuaissyöpä
Miehet, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Naiset, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Kohdunkaulan syöpä
Naiset, 2020
Ikä: | 20+ |
Peittoalue: | Kansallinen |
Viitteet: | 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 10.01.2091 |
Määritelmät: | Age-standardized indicence rates per 100 000 |
Kohonnut verenpaine
Aikuiset, 2015
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Määritelmät: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Miehet, 2015
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Määritelmät: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Naiset, 2015
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Määritelmät: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kohonnut kolesteroli
Aikuiset, 2008
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Määritelmät: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Miehet, 2008
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Määritelmät: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Naiset, 2008
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Määritelmät: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kohonnut verensokerin paastoarvo
Miehet, 2014
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Määritelmät: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Naiset, 2014
Viitteet: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Määritelmät: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeteksen esiintyvyys
Aikuiset, 2021
Ikä: | 20-79 |
Peittoalue: | Kansallinen |
Viitteet: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Määritelmät: | Age-adjusted comparative prevalence of diabetes, % |
Aikuiset, 2019
Ikä: | 20-79 |
Viitteet: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Määritelmät: | Diabetes age-adjusted comparative prevalence (%). |
Aikuiset, 2017
Viitteet: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Määritelmät: | 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)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Present |
Are there any mandatory nutrient limits in any manufactured food products? | Present |
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? | Unknown |
Comprehensive physical activity strategy? | Present |
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 November 3, 2023
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