Kolumbia
- Prehľad
- Prevalencia obezity
- Trendy v priebehu času
- Členenie obyvateľstva
- Vodiči
- Komorbidity
- Ekonomické dôsledky
- Zásady (k dispozícii iba v angličtine)
- Contextual factors
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Národné riziko obezity *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.Riziko detskej obezity *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).
Prevalencia obezity
Trendy v priebehu času
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Vodiči
Komorbidity
Ekonomické dôsledky
Zásady (k dispozícii iba v angličtine)
Contextual factors
Prevalencia obezity
Dospelí, 2018
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-75 |
Veľkosť vzorky: | 1537 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2015-2016
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-64 |
Veľkosť vzorky: | 151343 |
Dotknutá oblasť: | Národný |
Odkazy: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Poznámky (k dispozícii iba v angličtine): | Sample size includes children |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Ženy, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 15-49 |
Veľkosť vzorky: | 43723 |
Dotknutá oblasť: | Národný |
Odkazy: | Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
Poznámky (k dispozícii iba v angličtine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-64 |
Veľkosť vzorky: | 162331 |
Dotknutá oblasť: | Národný |
Odkazy: | ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Ženy, 2005
Typ prieskumu: | Nameraná hodnota |
Vek: | 15-49 |
Veľkosť vzorky: | 38143 |
Dotknutá oblasť: | Národný |
Odkazy: | 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. |
Poznámky (k dispozícii iba v angličtine): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2005
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-64 |
Veľkosť vzorky: | 31105 |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | 18679 Females and 12426 Males |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Ženy, 2000
Typ prieskumu: | Nameraná hodnota |
Vek: | 15-49 |
Veľkosť vzorky: | 3070 |
Odkazy: | SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Ženy, 1995
Typ prieskumu: | Nameraná hodnota |
Vek: | 15-49 |
Veľkosť vzorky: | 3319 |
Odkazy: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Poznámky (k dispozícii iba v angličtine): | 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 |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Deti, 2018
Typ prieskumu: | Nameraná hodnota |
Vek: | 5-17 |
Veľkosť vzorky: | 385 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | 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. |
Definície (k dispozícii iba v angličtine): | 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 |
Deti, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 13-17 |
Veľkosť vzorky: | 18177 |
Odkazy: | 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 |
% dospelých žijúcich s obezitou, 1995-2010
Typ prieskumu: | Nameraná hodnota |
Odkazy: | 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. |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². | |
Na zber týchto údajov sa mohli použiť rôzne metodiky, a preto údaje z rôznych prieskumov nemusia byť striktne porovnateľné. Použité metodiky si môžete pozrieť v pôvodných zdrojoch údajov |
% dospelých žijúcich s nadváhou alebo obezitou, 1995-2010
Odkazy: | 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. |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². | |
Na zber týchto údajov sa mohli použiť rôzne metodiky, a preto údaje z rôznych prieskumov nemusia byť striktne porovnateľné. Použité metodiky si môžete pozrieť v pôvodných zdrojoch údajov |
% dospelých žijúcich s obezitou, vybrané krajiny, 1960-2022
Muži
Odkazy: | 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 |
Na zber týchto údajov sa mohli použiť rôzne metodiky, a preto údaje z rôznych prieskumov nemusia byť striktne porovnateľné. Použité metodiky si môžete pozrieť v pôvodných zdrojoch údajov |
Ženy
Odkazy: | 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 |
Na zber týchto údajov sa mohli použiť rôzne metodiky, a preto údaje z rôznych prieskumov nemusia byť striktne porovnateľné. Použité metodiky si môžete pozrieť v pôvodných zdrojoch údajov |
Nadváha/obezita podľa vzdelania
Dospelí, 2018
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-75 |
Veľkosť vzorky: | 1537 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dievčatá, 2009-2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 15-19 |
Veľkosť vzorky: | 6658 |
Dotknutá oblasť: | Národný |
Odkazy: | 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. |
Definície (k dispozícii iba v angličtine): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Deti, 2006
Typ prieskumu: | Nameraná hodnota |
Vek: | 5-12 |
Veľkosť vzorky: | 3202 |
Dotknutá oblasť: | City of Bogotá |
Odkazy: | 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. |
Poznámky (k dispozícii iba v angličtine): | 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 |
Nadváha/obezita podľa veku
Dospelí, 2018
Typ prieskumu: | Nameraná hodnota |
Veľkosť vzorky: | 1537 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 15-17 |
Veľkosť vzorky: | 18177 |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | WHO Cut off |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2010
Typ prieskumu: | Nameraná hodnota |
Veľkosť vzorky: | 91115 |
Dotknutá oblasť: | Národný |
Odkazy: | 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. |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Deti, 2018
Typ prieskumu: | Nameraná hodnota |
Veľkosť vzorky: | 385 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | 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 |
Deti, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 13-14 |
Veľkosť vzorky: | 18177 |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | WHO Cut off |
Cutoffs: | WHO |
Deti, 2006
Typ prieskumu: | Nameraná hodnota |
Veľkosť vzorky: | 3202 |
Dotknutá oblasť: | City of Bogotá |
Odkazy: | 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. |
Poznámky (k dispozícii iba v angličtine): | 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 |
Nadváha/obezita podľa regiónu
Dospelí, 2018
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-75 |
Veľkosť vzorky: | 1537 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2015-2016
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-64 |
Veľkosť vzorky: | 151343 |
Dotknutá oblasť: | Národný |
Odkazy: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-64 |
Veľkosť vzorky: | 91115 |
Dotknutá oblasť: | Národný |
Odkazy: | 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. |
Poznámky (k dispozícii iba v angličtine): | |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-64 |
Veľkosť vzorky: | 91115 |
Dotknutá oblasť: | Národný |
Odkazy: | 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. |
Poznámky (k dispozícii iba v angličtine): | |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Deti, 2018
Typ prieskumu: | Nameraná hodnota |
Vek: | 5-17 |
Veľkosť vzorky: | 385 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | 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 |
Deti, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 13-17 |
Veľkosť vzorky: | 18177 |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | WHO Cut off |
Cutoffs: | WHO |
Nadváha/obezita podľa sociálno-ekonomickej skupiny
Dospelí, 2018
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-75 |
Veľkosť vzorky: | 1537 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Dospelí, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 18-64 |
Veľkosť vzorky: | 91115 |
Dotknutá oblasť: | Národný |
Odkazy: | 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. |
Poznámky (k dispozícii iba v angličtine): | Obesity prevalence by wealth index quintile. |
Ak nie je uvedené inak, za nadváhu sa považuje, ak je BMI index medzi 25 kg a 29,9 kg/m² a za obezitu sa považuje, ak je BMI index vyšší ako 30 kg/m². |
Deti, 2018
Typ prieskumu: | Nameraná hodnota |
Vek: | 5-17 |
Veľkosť vzorky: | 385 |
Dotknutá oblasť: | Mestský |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | 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 |
Deti, 2010
Typ prieskumu: | Nameraná hodnota |
Vek: | 13-17 |
Veľkosť vzorky: | 18177 |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Poznámky (k dispozícii iba v angličtine): | WHO Cut off |
Cutoffs: | WHO |
Deti, 2006
Typ prieskumu: | Nameraná hodnota |
Vek: | 5-12 |
Veľkosť vzorky: | 3202 |
Dotknutá oblasť: | City of Bogotá |
Odkazy: | 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. |
Poznámky (k dispozícii iba v angličtine): | 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 |
Nedostatočná fyzická aktivita
Dospelí, 2016
Odkazy: | 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 |
Muži, 2016
Odkazy: | 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 |
Ženy, 2016
Odkazy: | 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 |
Deti, 2016
Typ prieskumu: | Vlastné hlásenie |
Vek: | 11-17 |
Odkazy: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Poznámky (k dispozícii iba v angličtine): | % 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. |
Definície (k dispozícii iba v angličtine): | % Adolescents insufficiently active (age standardised estimate) |
Chlapci, 2016
Typ prieskumu: | Vlastné hlásenie |
Vek: | 11-17 |
Odkazy: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Poznámky (k dispozícii iba v angličtine): | % 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. |
Definície (k dispozícii iba v angličtine): | % Adolescents insufficiently active (age standardised estimate) |
Dievčatá, 2016
Typ prieskumu: | Vlastné hlásenie |
Vek: | 11-17 |
Odkazy: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Poznámky (k dispozícii iba v angličtine): | % 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. |
Definície (k dispozícii iba v angličtine): | % Adolescents insufficiently active (age standardised estimate) |
Deti, 2010
Vek: | 11-17 |
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Poznámky (k dispozícii iba v angličtine): | % 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. |
Definície (k dispozícii iba v angličtine): | % Adolescents insufficiently active (age standardised estimate) |
Chlapci, 2010
Vek: | 11-17 |
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Poznámky (k dispozícii iba v angličtine): | % 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. |
Definície (k dispozícii iba v angličtine): | % Adolescents insufficiently active (age standardised estimate) |
Dievčatá, 2010
Vek: | 11-17 |
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Poznámky (k dispozícii iba v angličtine): | % 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. |
Definície (k dispozícii iba v angličtine): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Dospelí, 2017
Typ prieskumu: | Nameraná hodnota |
Vek: | 25+ |
Odkazy: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definície (k dispozícii iba v angličtine): | Estimated per-capita fruit intake (g/day) |
Odhadovaný príjem spracovaného mäsa na obyvateľa
Dospelí, 2017
Typ prieskumu: | Nameraná hodnota |
Vek: | 25+ |
Odkazy: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definície (k dispozícii iba v angličtine): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Dospelí, 2017
Typ prieskumu: | Nameraná hodnota |
Vek: | 25+ |
Odkazy: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definície (k dispozícii iba v angličtine): | Estimated per-capita whole grains intake (g/day) |
Duševné zdravie - poruchy depresie
Dospelí, 2015
Odkazy: | 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. |
Definície (k dispozícii iba v angličtine): | % of population with depression disorders |
Duševné zdravie - úzkostné poruchy
Dospelí, 2015
Odkazy: | 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. |
Definície (k dispozícii iba v angličtine): | % of population with anxiety disorders |
% dojčiat výlučne dojčených 0 – 5 mesiacov
Deti, 1998-2019
Dotknutá oblasť: | Národný |
Odkazy: | Colombia National Survey of the Nutritional Situation 2015 |
Poznámky (k dispozícii iba v angličtine): | 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. |
Definície (k dispozícii iba v angličtine): | % exclusively breastfed 0-5 months |
Rakovina pažeráka
Muži, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Rakovina prsníka
Ženy, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Rakovina hrubého čreva a konečníka
Muži, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Rakovina pankreasu
Muži, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Rakovina žlčníka
Muži, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Rakovina obličiek
Muži, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Rakovina maternice
Ženy, 2020
Vek: | 20+ |
Dotknutá oblasť: | Národný |
Odkazy: | 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 |
Definície (k dispozícii iba v angličtine): | Age-standardized indicence rates per 100 000 |
Zvýšený krvný tlak
Dospelí, 2015
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definície (k dispozícii iba v angličtine): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Muži, 2015
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definície (k dispozícii iba v angličtine): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Ženy, 2015
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definície (k dispozícii iba v angličtine): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Zvýšený cholesterol
Dospelí, 2008
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definície (k dispozícii iba v angličtine): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Muži, 2008
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definície (k dispozícii iba v angličtine): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Ženy, 2008
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definície (k dispozícii iba v angličtine): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Zvýšená glukóza v krvi nalačno
Muži, 2014
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definície (k dispozícii iba v angličtine): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Ženy, 2014
Odkazy: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definície (k dispozícii iba v angličtine): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalencia cukrovky
Dospelí, 2021
Vek: | 20-79 |
Dotknutá oblasť: | Národný |
Odkazy: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definície (k dispozícii iba v angličtine): | Age-adjusted comparative prevalence of diabetes, % |
Dospelí, 2019
Vek: | 20-79 |
Odkazy: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definície (k dispozícii iba v angličtine): | Diabetes age-adjusted comparative prevalence (%). |
Dospelí, 2017
Odkazy: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definície (k dispozícii iba v angličtine): | 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