Brazílie
Upper-middle income
- 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 *8/11This 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
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Faktory
Komorbidity
Rakovina jícnu
Rakovina prsu
Rakovina tlustého střeva a konečníku
Rakovina slinivky břišní
Rakovina žlučníku
Rakovina ledvin
Rakovina dělohy
Zvýšený krevní tlak
Zvýšený cholesterol
Zvýšená hladina glukózy v krvi nalačno
Prevalence diabetu
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Stáhnout zprávu
Ekonomický dopad
Zásady (k dispozici pouze v angličtině)
Contextual factors
Prevalence obezity
Dospělí, 2019
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | 52443 |
Pokrytá oblast: | Národní |
Reference: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2019
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 8057 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2015
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2013-2014
Typ průzkumu: | Naměřené |
Věk: | 18+ |
Velikost vzorku: | 59402 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 30.09.20)' |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2012
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District |
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+ |
Pokrytá oblast: | Národní |
Reference: | BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2008-2009
Typ průzkumu: | Naměřené |
Věk: | 20+ |
Velikost vzorku: | 121081 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Please note self reported (estimated height & weight) survey data exists for 2015 from the Brazil National Health and Wellness Survey |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2006
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007. Data published in Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2002-2003
Typ průzkumu: | Naměřené |
Věk: | 20+ |
Velikost vzorku: | 93329 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Data from National Househood Budget Survey. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2001
Typ průzkumu: | Naměřené |
Věk: | 20-64 |
Velikost vzorku: | 1252 |
Reference: | Peixoto Mdo R, Benício MH, Jardim PC. The relationship between body mass index and lifestyle in a Brazilian adult population: a cross-sectional survey. Cad Saude Publica. 2007 Nov;23(11):2694-740 |
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+ |
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 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 1989
Typ průzkumu: | Naměřené |
Věk: | 25-64 |
Velikost vzorku: | Not specified |
Reference: | Barguinsky J. Obesity prevalence in Latin America. Anales Sis San Navarra 2002;25(Suppl 1):S109-115 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 1975
Typ průzkumu: | Naměřené |
Věk: | 20+ |
Velikost vzorku: | 78031 |
Reference: | 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 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2019
Typ průzkumu: | Naměřené |
Věk: | 15-17 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Cutoffs: | WHO |
Děti, 2013-2014
Typ průzkumu: | Naměřené |
Věk: | 12-17 |
Velikost vzorku: | 73399 |
Pokrytá oblast: | Národní |
Reference: | Bloch KV, Klein CH,Szklo M, Kuschnir MCC, Abreu GA, Barufaldi LA et al. ERICA: prevalences of hypertension and obesity in Brazilian adolescents. Rev Saude Publica. 2016;50(suppl 1):9s. |
Poznámky: | Z Score Cut Off (1 to <2) Overweight, >2 Obesity |
Cutoffs: | WHO |
Děti, 2009-2011
Typ průzkumu: | Naměřené |
Věk: | 7-10 |
Velikost vzorku: | 1947 |
Pokrytá oblast: | Národní |
Reference: | Flores LS, Gaya AR, Petersen RD, Gaya AC. Trends of underweight, overweight, and obesity in Brazilian children and adolescents. J Pediatr (Rio J). 2013;89:456–61. |
Poznámky: | The subject was classified as underweight, normal weight, overweight, or living with obesity, according to the categories proposed by Conde and Monteiro. |
Cutoffs: | Other |
Děti, 2008-2009
Typ průzkumu: | Naměřené |
Věk: | 5-9 |
Velikost vzorku: | 17491 |
Pokrytá oblast: | Národní |
Reference: | http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009/POFpublicacao.pdf |
Poznámky: | WHO 2007 Cut off |
Cutoffs: | WHO |
Děti, 2002
Typ průzkumu: | Naměřené |
Věk: | 7-10 |
Velikost vzorku: | 2936 |
Pokrytá oblast: | Regionální |
Reference: | de Assis MAA, Rolland-Cachera MF, Grosseman S, de Vasconcelos FAG, Luna MEP, Calvo MCM, Barros MVG, Pires MMS and Bellisle F. 2005. Obesity, overweight and thiness in schoolchildren of the city of Florianópolis, Southern Brazil. European Journal of Clinical Nutrition, 59: 1015 - 1021. |
Poznámky: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
Děti, 1997
Typ průzkumu: | Naměřené |
Věk: | 5-17 |
Velikost vzorku: | 4875 |
Reference: | Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China and Russia. AM J Clin Nutr. 2002;75:971-7 |
Poznámky: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
Děti, 1989
Typ průzkumu: | Naměřené |
Věk: | 10 |
Velikost vzorku: | 783 |
Reference: | Bellizzi MC, Horgan GW, Guillaume M, Dietz WH. Prevalence of childhood and adolescent overweight and obesity in Asian and European countries. In: Obesity in Childhood and Adolescence. Editors: Chunming Chen, William H. Dietz. Nestle Nutrition Workshop Series Pediatric Program. Philadelphia: Lippincott Williams and Wilkins, 2002. |
Poznámky: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
Děti, 1974
Typ průzkumu: | Naměřené |
Věk: | 5-17 |
Velikost vzorku: | 56295 |
Reference: | Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China and Russia. AM J Clin Nutr. 2002;75:971-7 |
Poznámky: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
Infants, 2019
Věk: | 0-5 |
Velikost vzorku: | 10780287 |
Reference: | NNS: Estudo Nacional de Alimentação e Nutrição Infantil (ENANI), Brasil 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, 2006-2007
Věk: | 0-5 |
Velikost vzorku: | 12374534 |
Reference: | Other: Pesquisa nacional de demografia e saúde da criança e da mulher - PNDS 2006. Relatório da pesquisa. Sao Paulo: CEBRAP, 2008 |
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, 1996
Věk: | 0-5 |
Velikost vzorku: | 3854 |
Reference: | DHS: Pesquisa nacional sobre demografia e saude 1996. Demographic and Health Surveys. Rio de Janeiro, Brasil: Litografia Tucano Ltda., 1997 |
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, 1989
Věk: | 0-5 |
Velikost vzorku: | 16088454 |
Reference: | Other: Brazil National Survey on Health and Nutrition 1989. Ann Arbor, United States: Inter-University Consortium for Political and Social Research (ICPSR). |
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 Brazil 1975-2014
Men and women
Typ průzkumu: | Naměřené |
Reference: | 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 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 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. 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. 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. 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) |
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 |
Ženy
Typ průzkumu: | Naměřené |
Reference: | 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 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 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. 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. 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. 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) |
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 |
Muži
Typ průzkumu: | Naměřené |
Reference: | 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 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 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. 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. 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. 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) |
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 overweight or obesity in Brazil 1975-2014
Men and women
Typ průzkumu: | Naměřené |
Reference: | 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 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 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. 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. 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. 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) |
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 |
Ženy
Typ průzkumu: | Naměřené |
Reference: | 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 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 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. 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. 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. 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) |
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 |
Muži
Typ průzkumu: | Naměřené |
Reference: | 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 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 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. 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. 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. 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) |
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 Brazil 2006-2019
Ženy
Typ průzkumu: | Samonahlášený |
Reference: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
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 |
Men and women
Typ průzkumu: | Samonahlášený |
Reference: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
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 |
Muži
Typ průzkumu: | Samonahlášený |
Reference: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
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 overweight or obesity in Brazil 2006-2019
Ženy
Typ průzkumu: | Samonahlášený |
Reference: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
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 |
Men and women
Typ průzkumu: | Samonahlášený |
Reference: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
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 |
Muži
Typ průzkumu: | Samonahlášený |
Reference: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
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 |
% Adults living with obesity in selected countries worldwide 1976-2018, 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 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1982, 1993: Rodriguez-Ojea A, Jimenez S, Berdasco A, Esquivel M. The nutrition transition in Cuba in the nineties:an overview. Public health Nutrition 2002:5(1A), 129-133 1985: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 Aug;29(8):916-24 1990: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 online published ahead of print. 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 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: Scottish Health Survey 1998 1999: Health Survey for England 1999. 2000: 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 2001: Health Survey for England 2001. 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. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Peltonen M, Harald K, Männistö S, Saarikoski L, Lund L, Sundvall J, Juolevi A, Laatikainen T, Aldén-Nieminen H, Luoto R, Jousilahti P, Salomaa V, Taimi M, Vartiainen E. Kansallinen FINRISKI 2007 –terveystutkimus, Tutkimuksen toteutus ja tulokset: Taulukkoliite. Kansanterveyslaitos. Yliopistopaino, Helsinki 2008. 2008: Health Survey for England 2008. 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: Health Survey for England 2010 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: Scottish Health Survey http://www.scotland.gov.uk/Resource/0043/00434590.pdf 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Scottish Health Survey 2016 (http://www.gov.scot/Publications/2017/10/2970/downloads last accessed 3rd October 2017) Link to Key stats report - http://www.gov.scot/Resource/0052/00525366.pdf Link to Main Report - http://www.gov.scot/Resource/0052/00525472.pdf 2017: Health Survey for England 2017 https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2017 (last accessed 4.12.18) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 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) 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
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 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1982, 1993: Rodriguez-Ojea A, Jimenez S, Berdasco A, Esquivel M. The nutrition transition in Cuba in the nineties:an overview. Public health Nutrition 2002:5(1A), 129-133 1985: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 Aug;29(8):916-24 1990: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 online published ahead of print. 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 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: Scottish Health Survey 1998 1999: Health Survey for England 1999. 2000: 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 2001: Health Survey for England 2001. 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. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Peltonen M, Harald K, Männistö S, Saarikoski L, Lund L, Sundvall J, Juolevi A, Laatikainen T, Aldén-Nieminen H, Luoto R, Jousilahti P, Salomaa V, Taimi M, Vartiainen E. Kansallinen FINRISKI 2007 –terveystutkimus, Tutkimuksen toteutus ja tulokset: Taulukkoliite. Kansanterveyslaitos. Yliopistopaino, Helsinki 2008. 2008: Health Survey for England 2008. 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: Health Survey for England 2010 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: Scottish Health Survey http://www.scotland.gov.uk/Resource/0043/00434590.pdf 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Scottish Health Survey 2016 (http://www.gov.scot/Publications/2017/10/2970/downloads last accessed 3rd October 2017) Link to Key stats report - http://www.gov.scot/Resource/0052/00525366.pdf Link to Main Report - http://www.gov.scot/Resource/0052/00525472.pdf 2017: Health Survey for England 2017 https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2017 (last accessed 4.12.18) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 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) 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
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
Muži, 2019
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | 52443 |
Pokrytá oblast: | Regionální |
Reference: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District Education based on years of education |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2019
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | 52443 |
Pokrytá oblast: | Regionální |
Reference: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District Education based on years of education |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2011
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | Approx. 54,000 |
Pokrytá oblast: | Regionální |
Reference: | MALTA, Deborah Carvalho et al. Trends in prevalence of overweight and obesity in adults in 26 Brazilian state capitals and the Federal District from 2006 to 2012. Rev. bras. epidemiol. [online]. 2014, vol.17, suppl.1 [cited 2017-11-13], pp.267-276. Available from: <http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2014000500267&lng=en&nrm=iso>. ISSN 1415-790X. http://dx.doi.org/10.1590/1809-4503201400050021 |
Poznámky: | Prevalence of overweight and obesity by educational level (years of study) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2008-2010
Typ průzkumu: | Naměřené |
Věk: | 20-59 |
Velikost vzorku: | 527 |
Pokrytá oblast: | Regional - N.Eastern Brazil |
Reference: | Lima R P A, Pereira D C, Luna R C P, et al. BMI, Overweight Status and Obesity Adjusted by Various Factors in All Age Groups in the Population of a City in Northeastern Brazil. Int. J. Environ. Res. Public Health 2015, 12, 4422-4438; doi:10.3390/ijerph120404422 |
Poznámky: | < elementary school, corresponding to 9 years or less of schooling, and ≥incomplete high school, corresponding to more than 9 years of education. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Chlapci, 2007
Typ průzkumu: | Naměřené |
Věk: | 7-14 |
Velikost vzorku: | 2826 |
Pokrytá oblast: | Subnational - Municipality of Florianópolis |
Reference: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Poznámky: | Prevalence of obesity based on Father's schooling years. For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI ≥ 25kg/m2 in adults) |
Cutoffs: | IOTF |
Dívky, 2007
Typ průzkumu: | Naměřené |
Věk: | 7-14 |
Velikost vzorku: | 2826 |
Pokrytá oblast: | Subnational - Municipality of Florianópolis |
Reference: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Poznámky: | Prevalence of obesity based on Father's schooling years. For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI ≥ 25kg/m2 in adults) |
Cutoffs: | IOTF |
Infants, 1996
Velikost vzorku: | 3854 |
Reference: | DHS: Pesquisa nacional sobre demografia e saude 1996. Demographic and Health Surveys. Rio de Janeiro, Brasil: Litografia Tucano Ltda., 1997 |
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 |
Nadváha/obezita podle věku
Dospělí, 2019
Typ průzkumu: | Naměřené |
Velikost vzorku: | 8057 |
Pokrytá oblast: | Národní |
Reference: | 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) |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2019
Typ průzkumu: | Samonahlášený |
Velikost vzorku: | 52443 |
Pokrytá oblast: | Regionální |
Reference: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District |
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: | Naměřené |
Velikost vzorku: | 59402 |
Pokrytá oblast: | Národní |
Reference: | 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 2020-06-11], e190024. Available from: <http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso>. Epub Apr 01, 2019. ISSN 1980-5497. https://doi.org/10.1590/1980-549720190024. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2008-2009
Typ průzkumu: | Naměřené |
Velikost vzorku: | 121081 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2013-2014
Typ průzkumu: | Naměřené |
Velikost vzorku: | 73399 |
Pokrytá oblast: | Národní |
Reference: | Bloch KV, Klein CH,Szklo M, Kuschnir MCC, Abreu GA, Barufaldi LA et al. ERICA: prevalences of hypertension and obesity in Brazilian adolescents. Rev Saude Publica. 2016;50(suppl 1):9s. |
Definice (k dispozici pouze v angličtině): | WHO |
Cutoffs: | WHO |
Děti, 2009-2011
Typ průzkumu: | Naměřené |
Velikost vzorku: | 4140 |
Pokrytá oblast: | Národní |
Reference: | Flores LS, Gaya AR, Petersen RD, Gaya AC. Trends of underweight, overweight, and obesity in Brazilian children and adolescents. J Pediatr (Rio J). 2013;89:456–61. |
Poznámky: | The subject was classified as underweight, normal weight, overweight, or obese, according to the categories proposed by Conde and Monteiro. |
Cutoffs: | Other |
Nadváha/obezita podle regionu
Muži, 2019
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | 52443 |
Pokrytá oblast: | Regionální |
Reference: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2019
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | 52443 |
Pokrytá oblast: | Regionální |
Reference: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Poznámky: | Data from Capitals of 26 Brazilian States and the Federal District |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2012
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Velikost vzorku: | Approx 54000 |
Pokrytá oblast: | Národní |
Reference: | MALTA, Deborah Carvalho et al. Trends in prevalence of overweight and obesity in adults in 26 Brazilian state capitals and the Federal District from 2006 to 2012. Rev. bras. epidemiol. [online]. 2014, vol.17, suppl.1 [cited 2016-04-20], pp.267-276. |
Poznámky: | Prevalence of Obesity by Cities in each Region. The VIGITEL data analyzed in this study include weight and height reported by the respondents as well as their age, gender and level of schooling/education. In 2012, the VIGITEL performed the imputation of the missing data on weight and height. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Chlapci, 2004-2005
Typ průzkumu: | Naměřené |
Věk: | 10-15 |
Velikost vzorku: | 36976 |
Pokrytá oblast: | Národní |
Reference: | Pelegrini, Andreia, Luiz Petroski, Edio, da Silva Coqueiro, Raildo, & Araujo Gaya, Adroaldo César. (2008). Overweight and obesity in brazilian schoolchildren aged 10 to 15 years: data from a Brazilian sports project. Archivos Latinoamericanos de Nutrición, 58(4), 343-349. Recuperado en 04 de abril de 2016, de http://www.scielo.org.ve/scielo.php?script=sci_arttext&pid=S0004-06222008000400004&lng=es&tlng=en. |
Poznámky: | International cut-off BMI values were used for the evaluation of nutritional status (Cole et al) |
Cutoffs: | IOTF |
Dívky, 2004-2005
Typ průzkumu: | Naměřené |
Věk: | 10-15 |
Velikost vzorku: | 36976 |
Pokrytá oblast: | Národní |
Reference: | Pelegrini, Andreia, Luiz Petroski, Edio, da Silva Coqueiro, Raildo, & Araujo Gaya, Adroaldo César. (2008). Overweight and obesity in brazilian schoolchildren aged 10 to 15 years: data from a Brazilian sports project. Archivos Latinoamericanos de Nutrición, 58(4), 343-349. Recuperado en 04 de abril de 2016, de http://www.scielo.org.ve/scielo.php?script=sci_arttext&pid=S0004-06222008000400004&lng=es&tlng=en. |
Poznámky: | International cut-off BMI values were used for the evaluation of nutritional status (Cole et al) |
Cutoffs: | IOTF |
Infants, 2006-2007
Velikost vzorku: | 12374534 |
Reference: | Other: Pesquisa nacional de demografia e saúde da criança e da mulher - PNDS 2006. Relatório da pesquisa. Sao Paulo: CEBRAP, 2008 |
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, 1996
Velikost vzorku: | 3854 |
Reference: | DHS: Pesquisa nacional sobre demografia e saude 1996. Demographic and Health Surveys. Rio de Janeiro, Brasil: Litografia Tucano Ltda., 1997 |
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, 1989
Velikost vzorku: | 16088454 |
Reference: | Other: Brazil National Survey on Health and Nutrition 1989. Ann Arbor, United States: Inter-University Consortium for Political and Social Research (ICPSR). |
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 |
Nadváha/obezita podle sociálně-ekonomické skupiny
Dospělí, 2008-2010
Typ průzkumu: | Naměřené |
Věk: | 20-59 |
Velikost vzorku: | 527 |
Pokrytá oblast: | Regional - N. Eastern Brazil |
Reference: | Lima R P A, Pereira D C, Luna R C P, et al. BMI, Overweight Status and Obesity Adjusted by Various Factors in All Age Groups in the Population of a City in Northeastern Brazil. Int. J. Environ. Res. Public Health 2015, 12, 4422-4438; doi:10.3390/ijerph120404422 |
Poznámky: | WHO BMI classification of 1995 used for Adults. Median family income, R$1000.00, or $492.02. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2010
Typ průzkumu: | Naměřené |
Věk: | 6-10 |
Velikost vzorku: | 939 |
Pokrytá oblast: | Municipality of Cruzeiro do Oeste, Southern Brazil. |
Reference: | Azambuja, Ana Paula de O., Netto-Oliveira, Edna Regina, Oliveira, Amauri Aparecido B. de, Azambuja, Maximiliano dos Anjos, & Rinaldi, Wilson. (2013). Prevalence of overweight/obesity and economical status of schoolchildren. Revista Paulista de Pediatria, 31(2), 166-171. https://dx.doi.org/10.1590/S0103-05822013000200006 |
Poznámky: | The socioeconomic status was defined through a questionnaire of economic classification by the Brazilian Association of Research Companies – Associação Brasileira de Empresas de Pesquisa, ABEP. This classification is based on items such as ownership of goods (television, radio, car, vacuum cleaner, VCR and/or DVD player, fridge, freezer and washing machine), services (housemaid), household characteristics (number of bathrooms) and educational level of the head of the household. The total score for each item results in the classification of respondents into seven strata identified as "social classes" A1, A2, B1, B2, C, D, and E(17). For analysis purposes, the eight economic levels, proposed by ABEP, were regrouped and named as follows: A1, A2, and B1 in High Economic Level (H); B2, C1 and C2 in Medium Economic Level (M) and, D and E in Low Economic Level (L). |
Cutoffs: | Other |
Děti, 2008-2015
Typ průzkumu: | Naměřené |
Věk: | 6-17 |
Velikost vzorku: | 5962 |
Pokrytá oblast: | 11 towns around the Itaipu Lake, Western Paraná |
Reference: | Hobold, E., & Arruda, M. (2015). Prevalence of overweight and obesity in schoolchildren: relationship with socioeconomic status, gender and age. Brazilian Journal of Kinanthropometry and Human Performance, 17(2), 156-164. doi:http://dx.doi.org/10.5007/1980-0037.2015v17n2p156 |
Poznámky: | IOTF Cut-offs used Socioeconomic status (SES) was defined as A (highest), B, C, and D (lowest) |
Cutoffs: | IOTF |
Chlapci, 2007
Typ průzkumu: | Naměřené |
Věk: | 7-14 |
Velikost vzorku: | 2826 |
Pokrytá oblast: | Municipality of Florianópolis |
Reference: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Poznámky: | Prevalence of obesity based on income (per capita monthly income R$). 1st tercile: < R$240.00, 2nd tercile: > R$240.00 and < R$500.00, and 3rd tercile: > R$500.00 For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI > 25kg/m2 in adults) |
Cutoffs: | Other |
Dívky, 2007
Typ průzkumu: | Naměřené |
Věk: | 7-14 |
Velikost vzorku: | 2826 |
Pokrytá oblast: | Municipality of Florianópolis |
Reference: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Poznámky: | Prevalence of obesity based on income (per capita monthly income R$). 1st tercile: < R$240.00, 2nd tercile: > R$240.00 and < R$500.00, and 3rd tercile: > R$500.00 For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI > 25kg/m2 in adults) |
Cutoffs: | Other |
Infants, 2019
Velikost vzorku: | 10780287 |
Reference: | NNS: Estudo Nacional de Alimentação e Nutrição Infantil (ENANI), Brasil 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, 1996
Velikost vzorku: | 3854 |
Reference: | DHS: Pesquisa nacional sobre demografia e saude 1996. Demographic and Health Surveys. Rio de Janeiro, Brasil: Litografia Tucano Ltda., 1997 |
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, 2022
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definice (k dispozici pouze v angličtině): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Muži, 2022
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definice (k dispozici pouze v angličtině): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Ženy, 2022
Typ průzkumu: | Samonahlášený |
Věk: | 18+ |
Pokrytá oblast: | Národní |
Reference: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definice (k dispozici pouze v angličtině): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
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) |
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) |
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
Infants, 1998-2022
Reference: | Estudo Nacional de Alimentação e Nutrição Infantil (ENANI), Brasil 2019 |
Poznámky: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Rakovina jícnu
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Muži, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina prsu
Ženy, 2022
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Rakovina tlustého střeva a konečníku
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Muži, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina slinivky břišní
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Muži, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina žlučníku
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Muži, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina ledvin
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Muži, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Ženy, 2020-2022
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 10.01.2065 |
Definice (k dispozici pouze v angličtině): | Age-standardized indicence rates per 100 000 |
Rakovina dělohy
Ženy, 2022
Věk: | 20+ |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2020-2022
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 10.01.2065 |
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 (%). |
Ovarian Cancer
Ženy, 2022
Věk: | 20+ |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Leukemia
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Multiple Myeloma
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Indicence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Non Hodgkin Lymphoma
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Thyroid Cancer
Muži, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
Ženy, 2022
Věk: | 20+ |
Pokrytá oblast: | Národní |
Reference: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Definice (k dispozici pouze v angličtině): | Incidence per 100,000 |
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? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
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? | Present-(voluntary) |
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? | Present |
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 June 9, 2023
Download contextual factors as a PDF Contextual factors definitions