Kolumbija
- Pregled
- Razširjenost debelosti
- Trendi skozi čas
- Razčlenitev prebivalstva
- Dejavniki
- Soobolenja
- Ekonomski učinki
- Pravilniki (na voljo samo v angleščini)
- Contextual factors
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Nacionalno tveganje za debelost *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.Tveganje za debelost pri otrocih *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).
Razširjenost debelosti
Trendi skozi čas
Prenesite poročilo
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Dejavniki
Soobolenja
Ekonomski učinki
Pravilniki (na voljo samo v angleščini)
Contextual factors
Razširjenost debelosti
Odrasli, 2018
Vrsta ankete: | Izmerjeni |
Starost: | 18-75 |
Obseg vzorcev: | 1537 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2015-2016
Vrsta ankete: | Izmerjeni |
Starost: | 18-64 |
Obseg vzorcev: | 151343 |
Zajeto območje: | Na državni ravni |
Literatura: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Opombe (na voljo samo v angleščini): | Sample size includes children |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Ženske, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 15-49 |
Obseg vzorcev: | 43723 |
Zajeto območje: | Na državni ravni |
Literatura: | Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
Opombe (na voljo samo v angleščini): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 18-64 |
Obseg vzorcev: | 162331 |
Zajeto območje: | Na državni ravni |
Literatura: | ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Ženske, 2005
Vrsta ankete: | Izmerjeni |
Starost: | 15-49 |
Obseg vzorcev: | 38143 |
Zajeto območje: | Na državni ravni |
Literatura: | 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. |
Opombe (na voljo samo v angleščini): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2005
Vrsta ankete: | Izmerjeni |
Starost: | 18-64 |
Obseg vzorcev: | 31105 |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | 18679 Females and 12426 Males |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Ženske, 2000
Vrsta ankete: | Izmerjeni |
Starost: | 15-49 |
Obseg vzorcev: | 3070 |
Literatura: | SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Ženske, 1995
Vrsta ankete: | Izmerjeni |
Starost: | 15-49 |
Obseg vzorcev: | 3319 |
Literatura: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Opombe (na voljo samo v angleščini): | 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 |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Otroci, 2018
Vrsta ankete: | Izmerjeni |
Starost: | 5-17 |
Obseg vzorcev: | 385 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | 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. |
Definicije (na voljo samo v angleščini): | 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 |
Otroci, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 13-17 |
Obseg vzorcev: | 18177 |
Literatura: | 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 |
% odraslih, ki živijo z debelostjo, 1995-2010
Vrsta ankete: | Izmerjeni |
Literatura: | 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. |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². | |
Za zbiranje teh podatkov so bile morda uporabljene različne metodologije, zato podatki iz različnih raziskav morda niso strogo primerljivi. Prosimo, da uporabljene metodologije preverite pri izvirnih virih podatkov |
% odraslih, ki živijo s prekomerno telesno težo ali debelostjo, 1995-2010
Literatura: | 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. |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². | |
Za zbiranje teh podatkov so bile morda uporabljene različne metodologije, zato podatki iz različnih raziskav morda niso strogo primerljivi. Prosimo, da uporabljene metodologije preverite pri izvirnih virih podatkov |
% odraslih, ki živijo z debelostjo, izbrane države, 1960-2022
Moški
Literatura: | 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 |
Za zbiranje teh podatkov so bile morda uporabljene različne metodologije, zato podatki iz različnih raziskav morda niso strogo primerljivi. Prosimo, da uporabljene metodologije preverite pri izvirnih virih podatkov |
Ženske
Literatura: | 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 |
Za zbiranje teh podatkov so bile morda uporabljene različne metodologije, zato podatki iz različnih raziskav morda niso strogo primerljivi. Prosimo, da uporabljene metodologije preverite pri izvirnih virih podatkov |
Prekomerna telesna teža/debelost glede na izobrazbo
Odrasli, 2018
Vrsta ankete: | Izmerjeni |
Starost: | 18-75 |
Obseg vzorcev: | 1537 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Deklice, 2009-2010
Vrsta ankete: | Izmerjeni |
Starost: | 15-19 |
Obseg vzorcev: | 6658 |
Zajeto območje: | Na državni ravni |
Literatura: | 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. |
Definicije (na voljo samo v angleščini): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Otroci, 2006
Vrsta ankete: | Izmerjeni |
Starost: | 5-12 |
Obseg vzorcev: | 3202 |
Zajeto območje: | City of Bogotá |
Literatura: | 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. |
Opombe (na voljo samo v angleščini): | 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 |
Prekomerna telesna teža/debelost glede na starost
Odrasli, 2018
Vrsta ankete: | Izmerjeni |
Obseg vzorcev: | 1537 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 15-17 |
Obseg vzorcev: | 18177 |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | WHO Cut off |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2010
Vrsta ankete: | Izmerjeni |
Obseg vzorcev: | 91115 |
Zajeto območje: | Na državni ravni |
Literatura: | 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. |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Otroci, 2018
Vrsta ankete: | Izmerjeni |
Obseg vzorcev: | 385 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | 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 |
Otroci, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 13-14 |
Obseg vzorcev: | 18177 |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | WHO Cut off |
Cutoffs: | WHO |
Otroci, 2006
Vrsta ankete: | Izmerjeni |
Obseg vzorcev: | 3202 |
Zajeto območje: | City of Bogotá |
Literatura: | 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. |
Opombe (na voljo samo v angleščini): | 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 |
Prekomerna telesna teža/debelost glede na regijo
Odrasli, 2018
Vrsta ankete: | Izmerjeni |
Starost: | 18-75 |
Obseg vzorcev: | 1537 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2015-2016
Vrsta ankete: | Izmerjeni |
Starost: | 18-64 |
Obseg vzorcev: | 151343 |
Zajeto območje: | Na državni ravni |
Literatura: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 18-64 |
Obseg vzorcev: | 91115 |
Zajeto območje: | Na državni ravni |
Literatura: | 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. |
Opombe (na voljo samo v angleščini): | |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 18-64 |
Obseg vzorcev: | 91115 |
Zajeto območje: | Na državni ravni |
Literatura: | 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. |
Opombe (na voljo samo v angleščini): | |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Otroci, 2018
Vrsta ankete: | Izmerjeni |
Starost: | 5-17 |
Obseg vzorcev: | 385 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | 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 |
Otroci, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 13-17 |
Obseg vzorcev: | 18177 |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | WHO Cut off |
Cutoffs: | WHO |
Prekomerna telesna teža/debelost glede na socialno-ekonomsko skupino
Odrasli, 2018
Vrsta ankete: | Izmerjeni |
Starost: | 18-75 |
Obseg vzorcev: | 1537 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Odrasli, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 18-64 |
Obseg vzorcev: | 91115 |
Zajeto območje: | Na državni ravni |
Literatura: | 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. |
Opombe (na voljo samo v angleščini): | Obesity prevalence by wealth index quintile. |
Če ni navedeno drugače, se prekomerna teža nanaša na ITM med 25 kg in 29,9 kg/m², debelost pa na ITM, višji od 30 kg/m². |
Otroci, 2018
Vrsta ankete: | Izmerjeni |
Starost: | 5-17 |
Obseg vzorcev: | 385 |
Zajeto območje: | Urbana naselja |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | 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 |
Otroci, 2010
Vrsta ankete: | Izmerjeni |
Starost: | 13-17 |
Obseg vzorcev: | 18177 |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Opombe (na voljo samo v angleščini): | WHO Cut off |
Cutoffs: | WHO |
Otroci, 2006
Vrsta ankete: | Izmerjeni |
Starost: | 5-12 |
Obseg vzorcev: | 3202 |
Zajeto območje: | City of Bogotá |
Literatura: | 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. |
Opombe (na voljo samo v angleščini): | 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 |
Nezadostna telesna aktivnost
Odrasli, 2016
Literatura: | 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 |
Moški, 2016
Literatura: | 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 |
Ženske, 2016
Literatura: | 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 |
Otroci, 2016
Vrsta ankete: | Samoprijavljeni |
Starost: | 11-17 |
Literatura: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Opombe (na voljo samo v angleščini): | % 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. |
Definicije (na voljo samo v angleščini): | % Adolescents insufficiently active (age standardised estimate) |
Dečki, 2016
Vrsta ankete: | Samoprijavljeni |
Starost: | 11-17 |
Literatura: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Opombe (na voljo samo v angleščini): | % 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. |
Definicije (na voljo samo v angleščini): | % Adolescents insufficiently active (age standardised estimate) |
Deklice, 2016
Vrsta ankete: | Samoprijavljeni |
Starost: | 11-17 |
Literatura: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Opombe (na voljo samo v angleščini): | % 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. |
Definicije (na voljo samo v angleščini): | % Adolescents insufficiently active (age standardised estimate) |
Otroci, 2010
Starost: | 11-17 |
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Opombe (na voljo samo v angleščini): | % 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. |
Definicije (na voljo samo v angleščini): | % Adolescents insufficiently active (age standardised estimate) |
Dečki, 2010
Starost: | 11-17 |
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Opombe (na voljo samo v angleščini): | % 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. |
Definicije (na voljo samo v angleščini): | % Adolescents insufficiently active (age standardised estimate) |
Deklice, 2010
Starost: | 11-17 |
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Opombe (na voljo samo v angleščini): | % 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. |
Definicije (na voljo samo v angleščini): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Odrasli, 2017
Vrsta ankete: | Izmerjeni |
Starost: | 25+ |
Literatura: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definicije (na voljo samo v angleščini): | Estimated per-capita fruit intake (g/day) |
Ocenjeni vnos predelanega mesa na prebivalca
Odrasli, 2017
Vrsta ankete: | Izmerjeni |
Starost: | 25+ |
Literatura: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definicije (na voljo samo v angleščini): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Odrasli, 2017
Vrsta ankete: | Izmerjeni |
Starost: | 25+ |
Literatura: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definicije (na voljo samo v angleščini): | Estimated per-capita whole grains intake (g/day) |
Duševno zdravje − depresivne motnje
Odrasli, 2015
Literatura: | 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. |
Definicije (na voljo samo v angleščini): | % of population with depression disorders |
Duševno zdravje − anksiozne motnje
Odrasli, 2015
Literatura: | 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. |
Definicije (na voljo samo v angleščini): | % of population with anxiety disorders |
% otrok, ki so bili izključno dojeni 0–5 mesecev
Otroci, 1998-2019
Zajeto območje: | Na državni ravni |
Literatura: | Colombia National Survey of the Nutritional Situation 2015 |
Opombe (na voljo samo v angleščini): | 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. |
Definicije (na voljo samo v angleščini): | % exclusively breastfed 0-5 months |
Rak požiralnika
Moški, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Ženske, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Rak dojk
Ženske, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Kolorektalni rak
Moški, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Ženske, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Rak trebušne slinavke
Moški, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Ženske, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Rak žolčnika
Moški, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Ženske, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Rak ledvic
Moški, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Ženske, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Rak maternice
Ženske, 2020
Starost: | 20+ |
Zajeto območje: | Na državni ravni |
Literatura: | 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 |
Definicije (na voljo samo v angleščini): | Age-standardized indicence rates per 100 000 |
Zvišan krvni tlak
Odrasli, 2015
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definicije (na voljo samo v angleščini): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Moški, 2015
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definicije (na voljo samo v angleščini): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Ženske, 2015
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definicije (na voljo samo v angleščini): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Zvišana raven holesterola
Odrasli, 2008
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definicije (na voljo samo v angleščini): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Moški, 2008
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definicije (na voljo samo v angleščini): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Ženske, 2008
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definicije (na voljo samo v angleščini): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Zvišana raven krvnega sladkorja (na tešče)
Moški, 2014
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definicije (na voljo samo v angleščini): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Ženske, 2014
Literatura: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definicije (na voljo samo v angleščini): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Razširjenost sladkorne bolezni
Odrasli, 2021
Starost: | 20-79 |
Zajeto območje: | Na državni ravni |
Literatura: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definicije (na voljo samo v angleščini): | Age-adjusted comparative prevalence of diabetes, % |
Odrasli, 2019
Starost: | 20-79 |
Literatura: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definicije (na voljo samo v angleščini): | Diabetes age-adjusted comparative prevalence (%). |
Odrasli, 2017
Literatura: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definicije (na voljo samo v angleščini): | 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
Download contextual factors as a PDF Contextual factors definitions