Argentina
- Přehled
- Prevalence obezity
- Trendy v průběhu času
- Rozdělení populace
- Faktory
- Komorbidity
- Ekonomický dopad
- Zásady (k dispozici pouze v angličtině)
- Contextual factors
Načítání dat – čekejte prosím
Riziko národní 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 dětské obezity *8,5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Prevalence obezity
Trendy v průběhu času
Stáhnout zprávu
Zpráva shrnuje nejnovější grafiku pro tuto zemi. Pokud chcete vytvořit vlastní zprávu na základě vybrané grafiky, jednoduše klepněte na tlačítko Přidat do vlastního PDF pod grafikou, kterou chcete použít.Rozdělení populace
Faktory
Nedostatečná aktivita
Spotřeba nealkoholických nápojů
Spotřeba ovoce
Spotřeba zeleniny
Konzumace rychlého občerstvení
Spotřeba zpracovaného masa
Spotřeba obilných potravin
Deprese
Úzkost
Příčiny obezity »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Kojení
Stáhnout zprávu
Komorbidity
Ekonomický dopad
Zásady (k dispozici pouze v angličtině)
Národní strategie proti obezitě
Strategie výživy nebo zdraví
Marketing
Fyzická aktivita
Daně/dotace na potraviny nebo nápoje
Označení
Strategie boje proti nepřenosným nemocem
Multidisciplinary Intervention
Changed to reflect the meaning of management of a medical condition
School Food Regulations
Kojení
Obesity Target
Multisectoral national mechanism for obesity
Stáhnout zprávu
Contextual factors
Prevalence obezity
Dospělí, 2018
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 16577 |
Pokrytá oblast: | Národní |
Reference: | 4° Encuesta Nacional de Factores de Riesgo. Resultados definitivos. Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) |
Poznámky: | Self report data also available in report. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2018-2019
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 7367 |
Pokrytá oblast: | Regionální (městské) |
Reference: | 2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21) |
Poznámky: | Representative of 6 urban regions in Argentina. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2018
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | 5000 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Poznámky: | Trend also available by Region |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2013
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | 32365 |
Pokrytá oblast: | Národní |
Reference: | Third National Survey of Risk Factors for Noncommunicable Diseases. Argentina 2013. https://www.indec.gob.ar/ftp/cuadros/publicaciones/publicacion_enfr_2013.rar (Accessed 24.08.23) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2012-2013
Typ průzkumu: | Naměřené |
Věk: | 18-70 |
Velikost vzorku: | 1194 |
Pokrytá oblast: | Regionální |
Reference: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Poznámky: | Subnational (Rosario) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2009
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Reference: | 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 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2005
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Reference: | 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2003
Typ průzkumu: | Naměřené |
Věk: | 18-65 |
Velikost vzorku: | 1100 |
Pokrytá oblast: | Sub National |
Reference: | Virgolini M, & Ferrante D. Validación de la Herramienta de la OPS para vigilancia de ENT en Argentina 2003. Ministerio de Salud y Ambiente de la Nación. WHO Report. (unpublished work). |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 1997
Typ průzkumu: | Naměřené |
Věk: | 20-79 |
Velikost vzorku: | Not specified |
Reference: | Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196. Personal Communication by Prof. Rafael Figueredo Grijalba |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2018
Typ průzkumu: | Samonahlášený |
Věk: | 13-15 |
Velikost vzorku: | 56981 |
Pokrytá oblast: | Národní |
Reference: | Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Cutoffs: | WHO |
Děti, 2018-2019
Typ průzkumu: | Naměřené |
Věk: | 5-17 |
Velikost vzorku: | ~8000 |
Pokrytá oblast: | Regionální (městské) |
Reference: | 2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21) |
Poznámky: | Representative of 6 urban regions in Argentina. |
Cutoffs: | WHO |
Děti, 2012
Typ průzkumu: | Samonahlášený |
Věk: | 13-15 |
Velikost vzorku: | 28368 |
Pokrytá oblast: | Národní |
Reference: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) |
Poznámky: | WHO cutoffs. |
Cutoffs: | WHO |
Děti, 2007
Typ průzkumu: | Samonahlášený |
Věk: | 13-15 |
Velikost vzorku: | 1980 |
Pokrytá oblast: | Národní |
Reference: | Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 |
Cutoffs: | WHO |
Děti, 2005
Typ průzkumu: | Naměřené |
Věk: | 10 |
Velikost vzorku: | 1693 |
Pokrytá oblast: | Městské |
Reference: | Kovalskys I, Rausch Herscovici C, De Gregorio MJ. Nutritional status of school-aged children of Buenos Aires, Argentina: data using three references.J Public Health (Oxf). 2011 Sep;33(3):403-11. doi: 10.1093/pubmed/fdq079. Epub 2010 Oct 12. |
Poznámky: | IOTF International Cut Off Points Children Aged 11 years also available in the paper |
Cutoffs: | IOTF |
Infants, 2018-2019
Věk: | 0-5 |
Velikost vzorku: | 2912822 |
Reference: | Other: Segunda Encuesta Nacional de Nutricion y Salud, Argentina 2018-2019 |
Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2004-2005
Věk: | 0-5 |
Velikost vzorku: | 2528042 |
Reference: | Other: Encuesta Nacional de Nutricion y Salud, Argentina 2004-2005 |
Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1995-1996
Věk: | 0-5 |
Velikost vzorku: | 91943 |
Reference: | Other: Encuesta antropometrica en menores de 6 años bajo programa materno infantil. In: Estudios antropometricos en la poblacion infanto-juvenil. Rep. Argentina 1993-1996. Ministerio de Salud y Accion Social. Buenos Aires, 1999 |
Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1994
Věk: | 0-5 |
Velikost vzorku: | 5296 |
Reference: | Other: The organisation of a national survey for evaluating child psychomotor development in Argentina. Paediatric and Perinatal Epidemiology 1997;11:359-373 |
Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
% Adults living with obesity in Argentina 2005-2018
Men and women
Typ průzkumu: | Samonahlášený |
Reference: | 1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
% Children living with overweight or obesity 2007-2018
Dívky
Typ průzkumu: | Samonahlášený |
Reference: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Chlapci
Typ průzkumu: | Samonahlášený |
Reference: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Boys and girls
Typ průzkumu: | Samonahlášený |
Reference: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
% Adults living with obesity in selected countries in the Americas Region 1960-2018, vybrané země
Muži
Reference: | 1960, 1971, 1973, 1976, 1988, 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 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 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: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 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: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 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: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 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: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 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: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 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: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 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 |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Ženy
Reference: | 1960, 1971, 1973, 1976, 1988, 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 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 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: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 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: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 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: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 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: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 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: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 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: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 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 |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Nadváha/obezita podle vzdělání
Dospělí, 2018
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 16577 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2012-2013
Typ průzkumu: | Naměřené |
Velikost vzorku: | 1194 |
Pokrytá oblast: | Subnational (Rosario) |
Reference: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2012-2013
Typ průzkumu: | Naměřené |
Velikost vzorku: | 1194 |
Pokrytá oblast: | Subnational (Rosario) |
Reference: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2005
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | 41392 |
Pokrytá oblast: | Národní |
Reference: | "De Maio FG, Linetzky B, Virgolini M. An average/deprivation/inequality (ADI) analysis of chronic disease outcomes and risk factors in Argentina. Popul Health Metr. 2009 Jun 8;7:8. doi: 10.1186/1478-7954-7-8." |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Nadváha/obezita podle věku
Dospělí, 2018
Typ průzkumu: | Naměřené |
Velikost vzorku: | 16577 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Nadváha/obezita podle sociálně-ekonomické skupiny
Dospělí, 2018
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 16577 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2005-2012
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 4328 |
Pokrytá oblast: | Córdoba (the capital city of the state of Córdoba in the centre of Argentina) |
Reference: | Aballay LR, Osella AR, De La Quintana AG, and Diaz MP. Nutritional profile and obesity: results from a random sample population based study in Córdoba, Argentina. Eur J Nutr DOI 10.1007/s00394-015-0887-0 |
Poznámky: | Socio-economic status (SES) was built as a composite indicator following the Argentine Marketing Association’s guidelines, which include four domains: educational level, job, housing, and amenities. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Infants, 2018-2019
Velikost vzorku: | 2912822 |
Reference: | Other: Segunda Encuesta Nacional de Nutricion y Salud, Argentina 2018-2019 |
Poznámky: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Nedostatečná fyzická aktivita
Dospělí, 2016
Reference: | 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
Reference: | 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
Reference: | 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 |
Děti, 2016
Typ průzkumu: | Samonahlášený |
Věk: | 11-17 |
Reference: | 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: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Chlapci, 2016
Typ průzkumu: | Samonahlášený |
Věk: | 11-17 |
Reference: | 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: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Dívky, 2016
Typ průzkumu: | Samonahlášený |
Věk: | 11-17 |
Reference: | 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: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Děti, 2010
Věk: | 11-17 |
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Poznámky: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Chlapci, 2010
Věk: | 11-17 |
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Poznámky: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Dívky, 2010
Věk: | 11-17 |
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Poznámky: | % 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. |
Definice (k dispozici pouze v angličtině): | % Adolescents insufficiently active (age standardised estimate) |
Průměrná denní frekvence konzumace sycených nealkoholických nápojů
Děti, 2009-2015
Typ průzkumu: | Naměřené |
Věk: | 12-17 |
Reference: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita fruit intake
Dospělí, 2017
Typ průzkumu: | Naměřené |
Věk: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angličtině): | Estimated per-capita fruit intake (g/day) |
Prevalence spotřeby méně než jednoho ovoce denně
Děti, 2009-2015
Typ průzkumu: | Naměřené |
Věk: | 12-17 |
Reference: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Definice (k dispozici pouze v angličtině): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalence spotřeby méně než jedné zeleniny denně
Děti, 2009-2015
Typ průzkumu: | Naměřené |
Věk: | 12-17 |
Reference: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Definice (k dispozici pouze v angličtině): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Průměrná týdenní frekvence konzumace rychlého občerstvení
Děti, 2009-2015
Věk: | 12-17 |
Reference: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Odhadovaný příjem zpracovaného masa na osobu
Dospělí, 2017
Typ průzkumu: | Naměřené |
Věk: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angličtině): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Dospělí, 2017
Typ průzkumu: | Naměřené |
Věk: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angličtině): | Estimated per-capita whole grains intake (g/day) |
Duševní zdraví – stavy deprese
Dospělí, 2015
Reference: | 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. |
Definice (k dispozici pouze v angličtině): | % of population with depression disorders |
Duševní zdraví – stavy úzkosti
Dospělí, 2015
Reference: | 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. |
Definice (k dispozici pouze v angličtině): | % of population with anxiety disorders |
% výhradně kojených dětí 0–5 měsíců
Děti, 1998-2019
Pokrytá oblast: | Národní |
Reference: | Encuesta de Indicadores Múltiples por Conglomerados 2011/2012, Informe Final. Buenos Aires, Argentina |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | % exclusively breastfed 0-5 months |
Rakovina jícnu
Muži, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina prsu
Ženy, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina tlustého střeva a konečníku
Muži, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina slinivky břišní
Muži, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina žlučníku
Muži, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina ledvin
Muži, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina dělohy
Ženy, 2020
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2031 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Zvýšený krevní tlak
Dospělí, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Muži, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Ženy, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Zvýšený cholesterol
Dospělí, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angličtině): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Muži, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angličtině): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Ženy, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angličtině): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Zvýšená hladina glukózy v krvi nalačno
Muži, 2014
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Ženy, 2014
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definice (k dispozici pouze v angličtině): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalence diabetu
Dospělí, 2021
Věk: | 20-79 |
Pokrytá oblast: | Národní |
Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definice (k dispozici pouze v angličtině): | Age-adjusted comparative prevalence of diabetes, % |
Dospělí, 2019
Věk: | 20-79 |
Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definice (k dispozici pouze v angličtině): | Diabetes age-adjusted comparative prevalence (%). |
Dospělí, 2017
Reference: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definice (k dispozici pouze v angličtině): | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Present |
Front-of-package labelling? | Present |
Back-of-pack nutrition declaration? | Present |
Color coding? | Absent |
Warning label? | Present |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Present |
Tax on unhealthy foods? | Present |
Tax on unhealthy drinks? | Present |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Present |
Mandatory limit of trans fats in place (all settings)? | Present |
Ban on trans-fats or phos in place (all settings)? | Incoming |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
Mandatory restriction on broadcast media? | Present |
Mandatory restriction on non-broadcast media? | Present |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Present |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Present |
National obesity strategy? | Present |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Present |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
Guidelines/policy on obesity treatment? | Present |
Promotion of breastfeeding? | Present |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated January 31, 2023
Download contextual factors as a PDF Contextual factors definitions