Brazil
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Health systems
- Policies
Obesity prevalence
Trends over time
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The report card collates all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.Population breakdowns
Drivers
Comorbidities
Health systems
Obesity prevalence
Adults, 2019
Survey type: | Self-reported |
Age: | 18+ |
Sample size: | 52443 |
Area covered: | National |
References: | 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 |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2015
Survey type: | Self-reported |
Age: | 18+ |
Area covered: | National |
References: | 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. |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2013-2014
Survey type: | Measured |
Age: | 18+ |
Sample size: | 59402 |
Area covered: | National |
References: | 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. |
Notes: | 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)' |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2012
Survey type: | Self-reported |
Age: | 18+ |
Area covered: | National |
References: | 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. |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2009
Survey type: | Self-reported |
Age: | 18+ |
Area covered: | National |
References: | 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. |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2008-2009
Survey type: | Measured |
Age: | 20+ |
Sample size: | 121081 |
Area covered: | National |
References: | 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. |
Notes: | Please note self reported (estimated height & weight) survey data exists for 2015 from the Brazil National Health and Wellness Survey |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2006
Survey type: | Self-reported |
Age: | 18+ |
Area covered: | National |
References: | 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 |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2002-2003
Survey type: | Measured |
Age: | 20+ |
Sample size: | 93329 |
Area covered: | National |
References: | 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. |
Notes: | Data from National Househood Budget Survey. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2001
Survey type: | Measured |
Age: | 20-64 |
Sample size: | 1252 |
References: | 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 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 1997
Survey type: | Measured |
Age: | 20+ |
Sample size: | Not specified |
References: | Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 1989
Survey type: | Measured |
Age: | 25-64 |
Sample size: | Not specified |
References: | Barguinsky J. Obesity prevalence in Latin America. Anales Sis San Navarra 2002;25(Suppl 1):S109-115 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 1975
Survey type: | Measured |
Age: | 20+ |
Sample size: | 78031 |
References: | 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 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2013-2014
Survey type: | Measured |
Age: | 12-17 |
Sample size: | 73399 |
Area covered: | National |
References: | 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. |
Notes: | Z Score Cut Off (1 to <2) Overweight, >2 Obesity |
Cutoffs: | WHO |
Children, 2009-2011
Survey type: | Measured |
Age: | 7-10 |
Sample size: | 1947 |
Area covered: | National |
References: | 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. |
Notes: | The subject was classified as underweight, normal weight, overweight, or obese, according to the categories proposed by Conde and Monteiro. |
Cutoffs: | Other |
Children, 2008-2009
Survey type: | Measured |
Age: | 5-9 |
Sample size: | 17491 |
Area covered: | National |
References: | http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009/POFpublicacao.pdf |
Notes: | WHO 2007 Cut off |
Cutoffs: | WHO |
Children, 2002
Survey type: | Measured |
Age: | 7-10 |
Sample size: | 2936 |
Area covered: | National |
References: | 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. |
Notes: | 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 |
Children, 1997
Survey type: | Measured |
Age: | 5-17 |
Sample size: | 4875 |
References: | 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 |
Notes: | 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 |
Children, 1989
Survey type: | Measured |
Age: | 10 |
Sample size: | 783 |
References: | 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. |
Notes: | 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 |
Children, 1974
Survey type: | Measured |
Age: | 5-17 |
Sample size: | 56295 |
References: | 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 |
Notes: | 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 |
% Adults living with obesity, 1975-2014
Men
Survey type: | Measured |
References: | 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. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Women
Survey type: | Measured |
References: | 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. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
% Adults living with overweight or obesity, 1975-2014
Men
Survey type: | Measured |
References: | 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. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Women
Survey type: | Measured |
References: | 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. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
% Adults living with obesity, 2006-2019
Women
Survey type: | Self-reported |
References: | 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 |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Men and women
Survey type: | Self-reported |
References: | 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 |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Men
Survey type: | Self-reported |
References: | 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 |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
% Adults living with overweight or obesity, 2006-2019
Women
Survey type: | Self-reported |
References: | 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 |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Men and women
Survey type: | Self-reported |
References: | 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 |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Men
Survey type: | Self-reported |
References: | 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 |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
% Adults living with obesity, selected countries, 1960-2020
Men
References: | 1960, 1971, 1973, 1976, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1992, 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: http://www.unscn.org/layout/modules/resources/files/rwns5.pdf; MEAN BMI Data DHS Survey 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: Demographic Health Survey, Peru 2000 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2005: Demographic Health Survey 2006. 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: DHS 2007 - 2008 2008: Ramirez-Zea M, Kroker-Lobos MF, Close-Fernandez R, Kanter R. The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations. Am J Clin Nutr. 2014 Dec;100(6):1644S-51S. doi: 10.3945/ajcn.114.083857 2009: 1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey 2010: Demographic Health Survey 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: Demographic Health Survey Haiti 2012 2013: DHS Peru 2013 2014: Demographic Health Survey, Guatemala 2014-15 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Encuesta Nacional de Salud. Chile. 2016-2017 https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf (Last accessed 04.08.20) 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Bahamas STEPS Survey (Preliminary results) https://www.bahamas.gov.bs/wps/wcm/connect/891fac39-ad7d-4aa8-ac54-39912a1afcea/Preliminary+Factsheet+v7+%28med+resl%27n%29.pdf?MOD=AJPERES (Accessed 03.11.2020) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Women
References: | 1960, 1971, 1973, 1976, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1992, 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: http://www.unscn.org/layout/modules/resources/files/rwns5.pdf; MEAN BMI Data DHS Survey 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: Demographic Health Survey, Peru 2000 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2005: Demographic Health Survey 2006. 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: DHS 2007 - 2008 2008: Ramirez-Zea M, Kroker-Lobos MF, Close-Fernandez R, Kanter R. The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations. Am J Clin Nutr. 2014 Dec;100(6):1644S-51S. doi: 10.3945/ajcn.114.083857 2009: 1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey 2010: Demographic Health Survey 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: Demographic Health Survey Haiti 2012 2013: DHS Peru 2013 2014: Demographic Health Survey, Guatemala 2014-15 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Encuesta Nacional de Salud. Chile. 2016-2017 https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf (Last accessed 04.08.20) 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Bahamas STEPS Survey (Preliminary results) https://www.bahamas.gov.bs/wps/wcm/connect/891fac39-ad7d-4aa8-ac54-39912a1afcea/Preliminary+Factsheet+v7+%28med+resl%27n%29.pdf?MOD=AJPERES (Accessed 03.11.2020) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
% Adults living with obesity, selected countries, 1960-2019
Men
References: | 1960, 1971, 1973, 1976, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1981: Royal College of Physicians (1983). Obesity. Reprinted from the Journal of the Royal College of Physicians of London Vol 17 (No 1) January 1983 1982: 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 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 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 1993: Health Survey for England 1993. 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Health Survey for England 1997. 1998: Rodriguez-Ojea A, Jimenez S, Berdasco A and Esquivel M. (2002). The Nutrition transition in Cuba in the nineties: an overview. Public Health Nutrition, 5 (1A): 129 - 133. 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: Berg C, Rosengeren A, Aires N, Lappas G, Toren K, Thelle D and Lissner L. (2005). Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO, 29 (8): 916 - 924. 2003: Health Survey for England 2003. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Craig R and Shelton N. (2008). Health Survey for England 2007. Healthy Lifestyles: Knowledge, attitudes and Behaviour. Volume 1. The NHS Information Centre, Leeds. 2008: Health Survey for England 2008. 2009: Health Survey for England 2009 2010: Health Survey for England 2010 2011: Health Survey for England 2011 (http://www.ic.nhs.uk/searchcatalogue?productid=10152&returnid=1685 last accessed 7th January 2013) 2012: Health survey for England 2012 http://www.hscic.gov.uk/catalogue/PUB13219 2013: Health Survey for England 2013 2014: Health Survey for England 2014 http://www.hscic.gov.uk/catalogue/PUB19297 (last accessed 16th December 2015) 2015: Health Survey for England 2015. Available at: http://content.digital.nhs.uk/searchcatalogue?productid=23711&returnid=1685 (last accessed 14th December 2016) 2016: Health Survey for England 2016. Available at: https://digital.nhs.uk/catalogue/PUB30169 (last accessed 13 December 2017) 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: Health Survey for England 2018. https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2018/health-survey-for-england-2018-data-tables (last accessed 03.012.19) 2019: Scottish Health Survey 2019. https://www.gov.scot/collections/scottish-health-survey/ (last accessed 30.09.20) |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Women
References: | 1960, 1971, 1973, 1976, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1981: Royal College of Physicians (1983). Obesity. Reprinted from the Journal of the Royal College of Physicians of London Vol 17 (No 1) January 1983 1982: 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 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 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 1993: Health Survey for England 1993. 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Health Survey for England 1997. 1998: Rodriguez-Ojea A, Jimenez S, Berdasco A and Esquivel M. (2002). The Nutrition transition in Cuba in the nineties: an overview. Public Health Nutrition, 5 (1A): 129 - 133. 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: Berg C, Rosengeren A, Aires N, Lappas G, Toren K, Thelle D and Lissner L. (2005). Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO, 29 (8): 916 - 924. 2003: Health Survey for England 2003. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Craig R and Shelton N. (2008). Health Survey for England 2007. Healthy Lifestyles: Knowledge, attitudes and Behaviour. Volume 1. The NHS Information Centre, Leeds. 2008: Health Survey for England 2008. 2009: Health Survey for England 2009 2010: Health Survey for England 2010 2011: Health Survey for England 2011 (http://www.ic.nhs.uk/searchcatalogue?productid=10152&returnid=1685 last accessed 7th January 2013) 2012: Health survey for England 2012 http://www.hscic.gov.uk/catalogue/PUB13219 2013: Health Survey for England 2013 2014: Health Survey for England 2014 http://www.hscic.gov.uk/catalogue/PUB19297 (last accessed 16th December 2015) 2015: Health Survey for England 2015. Available at: http://content.digital.nhs.uk/searchcatalogue?productid=23711&returnid=1685 (last accessed 14th December 2016) 2016: Health Survey for England 2016. Available at: https://digital.nhs.uk/catalogue/PUB30169 (last accessed 13 December 2017) 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: Health Survey for England 2018. https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2018/health-survey-for-england-2018-data-tables (last accessed 03.012.19) 2019: Scottish Health Survey 2019. https://www.gov.scot/collections/scottish-health-survey/ (last accessed 30.09.20) |
Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. |
Overweight/obesity by education
Men, 2019
Survey type: | Self-reported |
Age: | 18+ |
Sample size: | 52443 |
Area covered: | Regional |
References: | 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 |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District Education based on years of education |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2019
Survey type: | Self-reported |
Age: | 18+ |
Sample size: | 52443 |
Area covered: | Regional |
References: | 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 |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District Education based on years of education |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2011
Survey type: | Self-reported |
Age: | 18+ |
Sample size: | Approx. 54,000 |
Area covered: | Regional |
References: | 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 |
Notes: | Prevalence of overweight and obesity by educational level (years of study) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2008-2010
Survey type: | Measured |
Age: | 20-59 |
Sample size: | 527 |
Area covered: | Regional - N.Eastern Brazil |
References: | 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 |
Notes: | < elementary school, corresponding to 9 years or less of schooling, and ≥incomplete high school, corresponding to more than 9 years of education. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Boys, 2007
Survey type: | Measured |
Age: | 7-14 |
Sample size: | 2826 |
Area covered: | Subnational - Municipality of Florianópolis |
References: | 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. |
Notes: | 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 |
Girls, 2007
Survey type: | Measured |
Age: | 7-14 |
Sample size: | 2826 |
Area covered: | Subnational - Municipality of Florianópolis |
References: | 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. |
Notes: | 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 |
Overweight/obesity by age
Adults, 2019
Survey type: | Self-reported |
Sample size: | 52443 |
Area covered: | Regional |
References: | 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 |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2013
Survey type: | Measured |
Sample size: | 59402 |
Area covered: | National |
References: | 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. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2008-2009
Survey type: | Measured |
Sample size: | 121081 |
Area covered: | National |
References: | 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. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2013-2014
Survey type: | Measured |
Sample size: | 73399 |
Area covered: | National |
References: | 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. |
Definitions: | WHO |
Cutoffs: | WHO |
Children, 2009-2011
Survey type: | Measured |
Sample size: | 4140 |
Area covered: | National |
References: | 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. |
Notes: | The subject was classified as underweight, normal weight, overweight, or obese, according to the categories proposed by Conde and Monteiro. |
Cutoffs: | Other |
Overweight/obesity by region
Men, 2019
Survey type: | Self-reported |
Age: | 18+ |
Sample size: | 52443 |
Area covered: | Regional |
References: | 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 |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2019
Survey type: | Self-reported |
Age: | 18+ |
Sample size: | 52443 |
Area covered: | Regional |
References: | 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 |
Notes: | Data from Capitals of 26 Brazilian States and the Federal District |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2012
Survey type: | Self-reported |
Age: | 18+ |
Sample size: | Approx 54000 |
Area covered: | National |
References: | 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. |
Notes: | 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. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Boys, 2004-2005
Survey type: | Measured |
Age: | 10-15 |
Sample size: | 36976 |
Area covered: | National |
References: | 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. |
Notes: | International cut-off BMI values were used for the evaluation of nutritional status (Cole et al) |
Cutoffs: | IOTF |
Girls, 2004-2005
Survey type: | Measured |
Age: | 10-15 |
Sample size: | 36976 |
Area covered: | National |
References: | 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. |
Notes: | International cut-off BMI values were used for the evaluation of nutritional status (Cole et al) |
Cutoffs: | IOTF |
Overweight/obesity by socio-economic group
Adults, 2008-2010
Survey type: | Measured |
Age: | 20-59 |
Sample size: | 527 |
Area covered: | Regional - N. Eastern Brazil |
References: | 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 |
Notes: | WHO BMI classification of 1995 used for Adults. Median family income, R$1000.00, or $492.02. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2010
Survey type: | Measured |
Age: | 6-10 |
Sample size: | 939 |
Area covered: | Municipality of Cruzeiro do Oeste, Southern Brazil. |
References: | 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 |
Notes: | The socioeconomic status was defined through a questionnaire of economic classification by the Brazilian Association of Research Companies – Associa√ß√£o 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 |
Children, 2008-2015
Survey type: | Measured |
Age: | 6-17 |
Sample size: | 5962 |
Area covered: | 11 towns around the Itaipu Lake, Western Paraná |
References: | 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 |
Notes: | IOTF Cut-offs used Socioeconomic status (SES) was defined as A (highest), B, C, and D (lowest) |
Cutoffs: | IOTF |
Boys, 2007
Survey type: | Measured |
Age: | 7-14 |
Sample size: | 2826 |
Area covered: | Municipality of Florianópolis |
References: | 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. |
Notes: | 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$500.00 For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI > 25kg/m2 in adults) |
Cutoffs: | Other |
Girls, 2007
Survey type: | Measured |
Age: | 7-14 |
Sample size: | 2826 |
Area covered: | Municipality of Florianópolis |
References: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Notes: | Prevalence of obesity based on income (per capita monthly income R$). 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 |
Insufficient physical activity
Adults, 2016
References: | 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 |
Men, 2016
References: | 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 |
Women, 2016
References: | 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 |
Children, 2016
Survey type: | Self-reported |
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notes: | % 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. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2016
Survey type: | Self-reported |
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notes: | % 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. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2016
Survey type: | Self-reported |
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notes: | % 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. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Children, 2010
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notes: | % 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. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2010
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notes: | % 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. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2010
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notes: | % 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. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Adults, 2017
Survey type: | Measured |
Age: | 25+ |
References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitions: | Estimated per-capita fruit intake (g/day) |
Estimated per-capita processed meat intake
Adults, 2017
Survey type: | Measured |
Age: | 25+ |
References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitions: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adults, 2017
Survey type: | Measured |
Age: | 25+ |
References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitions: | Estimated per-capita whole grains intake (g/day) |
Mental health - depression disorders
Adults, 2015
References: | 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. |
Definitions: | % of population with depression disorders |
Mental health - anxiety disorders
Adults, 2015
References: | 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. |
Definitions: | % of population with anxiety disorders |
% Infants exclusively breastfed 0-5 months
Children, 1998-2019
Area covered: | National |
References: | Pesquisa nacional de demografia e saúde da criança e da mulher - PNDS 2006. Relatório da pesquisa. Sao Paulo: CEBRAP, 2008 |
Notes: | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Definitions: | % exclusively breastfed 0-5 months |
Oesophageal cancer
Men, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per 100,000 |
Women, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per 100,000 |
Breast cancer
Women, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, breast, females, ages 20+. ASR (World) per 100,000 |
Colorectal cancer
Men, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per 100,000 |
Pancreatic cancer
Men, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per 100,000 |
Gallbladder cancer
Men, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per 100,000 |
Kidney cancer
Men, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000 |
Cancer of the uterus
Women, 2018
Age: | 20+ |
References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
Definitions: | Estimated age-standardized incidence rates (World) in 2018, cervix uteri, females, ages 20+. ASR (World) per 100,000 |
Raised blood pressure
Adults, 2015
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Men, 2015
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Women, 2015
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Raised cholesterol
Adults, 2008
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Men, 2008
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Women, 2008
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Raised fasting blood glucose
Men, 2014
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitions: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Women, 2014
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitions: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetes prevalence
Adults, 2021
Age: | 20-79 |
Area covered: | National |
References: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definitions: | Age-adjusted comparative prevalence of diabetes, % |
Adults, 2019
Age: | 20-79 |
References: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitions: | Diabetes age-adjusted comparative prevalence (%). |
Adults, 2017
References: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definitions: | Diabetes age-adjusted comparative prevalence (%). |
Health systems
Health systems summary
Brazil has a universal, publicly funded healthcare system that is known as the Sistema Único de Saúde (SUS). SUS is funded by taxes and contributions from government (at a federal, state and municipal level). The private sector, however, currently serves approximately 25% of the population, as many individuals have the option to purchase insurance plans via their employer or choose to purchase individually (with many receiving tax relief on these payments).
It is widely reported that there is great disparity in treatment availability and quality between public and private healthcare, and so it seems that those that can afford private healthcare purchase it. As a result, out of pocket expenditure in Brazil is relatively high.
Indicators
Where is the country’s government in the journey towards defining ‘Obesity as a disease’? | Some progress |
Where is the country’s healthcare provider in the journey towards defining ‘Obesity as a disease’? | Some progress |
Is there specialist training available dedicated to the training of health professionals to prevent, diagnose, treat and manage obesity? | No |
Have any taxes or subsidies been put in place to protect/assist/inform the population around obesity? | No |
Are there adequate numbers of trained health professionals in specialties relevant to obesity in urban areas? | Some progress |
Are there adequate numbers of trained health professionals in specialties relevant to obesity in rural areas? | No |
Are there any obesity-specific recommendations or guidelines published for adults? | Yes |
Are there any obesity-specific recommendations or guidelines published for children? | Yes |
In practice, how is obesity treatment largely funded? | Insurance |
Summary of stakeholder feedback
It appears that although obesity is considered a public health priority in Brazil, there is little government action. Obesity is commonly seen as a lifestyle issue and treatment options are limited.
In the public system it appears that only bariatric surgery is covered, meaning that comprehensive treatment and management is only available in the private sector. Private care, however, is unaffordable for most of the Brazilian population, so only the wealthiest can afford obesity-related treatments. Associação Brasileira para o Estudo da Obesidade are currently working towards the approval of obesity medications through the SUS healthcare scheme, which will hopefully make them more affordable. One stakeholder reported that obesity medication is difficult to get privately too, with private insurers rarely funding it.
While a national strategy on NCDs exists, stakeholders were unclear whether there is an accompanying implementation guide. There are also clinical guidelines for obesity treatment, but rate of uptake is reportedly low. In the public system is appears that patients need to have a BMI ≥ 35 kg/m² with comorbidities (or ≥ 40 kg/m² without) to qualify for bariatric treatment but even then, there is a long waiting list. Treatment is said to be particularly difficult to access in the rural areas.
Overall, there are inadequate numbers of trained health professionals in specialties relevant to obesity, with there being little to no specialist training available. It was noted that although there are increasing numbers of physicians, they do not have specific obesity training and so qualify ill-equipped to treat and manage obesity.
Based on interviews/survey returns from 5 stakeholders
Last updated: June 2020