100+ datasets found
  1. Adult overweight and obesity rates in Brazil 2008-2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Adult overweight and obesity rates in Brazil 2008-2023 [Dataset]. https://www.statista.com/statistics/781305/share-adult-people-obese-brazil/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    The prevalence of overweight and obesity in Brazil has been consistently increasing in recent years. While in 2008 an estimated ** percent of the population was considered overweight and ** percent was considered obese, by 2023, these figures reached over ** percent and more than ** percent, respectively. What is causing a high prevalence of overweight and obesity in Brazil? There is not one single element causing the high prevalence of overweight and obesity in Brazil, but a range of structural, cultural, demographic, and socioeconomic factors. Examples of these are changes in eating habits due to urbanization, the availability and affordability of certain products that make it more difficult to follow a healthy diet, and the level of nutritional awareness. The cost of overweight and obesity The biggest cost of overweight and obesity in Brazil falls on the population itself, with diseases such as hypertension, cancer, and diabetes increasing in prevalence as rates of these conditions rise. These diseases strongly impact the well-being of the population, and result in additional economic costs for the healthcare system. In Brazil, this economic loss is forecast to surpass ** billion U.S. dollars by 2030, and nearly *** billion U.S. dollars by 2060.

  2. Adult obesity rates in Brazil 2023, by age

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Adult obesity rates in Brazil 2023, by age [Dataset]. https://www.statista.com/statistics/762211/share-adult-people-obese-age-brazil/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    In 2023, a study found that approximately **** percent of the adult population in Brazil was considered obese. According to the body mass index (BMI) computed by the source with the weight and height of the respondents, ** percent of adults aged between 45 and 54 years were found obese (BMI≥30kg/m2) that year, being the most affected age group by obesity in Brazil. By gender, obesity was more prevalent among women than men in the South American country as of 2023.

  3. Adult overweight and obesity rates in Brazil 2023, by capital city

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Adult overweight and obesity rates in Brazil 2023, by capital city [Dataset]. https://www.statista.com/statistics/1403311/share-adult-people-overweight-obese-brazil-by-capital-city/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    In 2023, Rio de Janeiro and Manaus were the Brazilian capital cities with the highest prevalence of overweight among adults. That year, approximately **** percent of respondents from Rio de Janeiro were overweight, while the share of adults with the same condition in Manaus reached around **** percent. Meanwhile, the highest obesity rate was reported in Macapá that year, with more than ** percent.

  4. Prevalence of weight excess in Brazilian children and adolescents: a...

    • scielo.figshare.com
    jpeg
    Updated Jun 4, 2023
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    Caroline Ferraz Simões; Wendell Arthur Lopes; Jane Maria Remor; João Carlos Locateli; Fellipe Bandeira Lima; Tamires Leal Cordeiro dos Santos; Nelson Nardo Junior (2023). Prevalence of weight excess in Brazilian children and adolescents: a systematic review [Dataset]. http://doi.org/10.6084/m9.figshare.7102364.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Caroline Ferraz Simões; Wendell Arthur Lopes; Jane Maria Remor; João Carlos Locateli; Fellipe Bandeira Lima; Tamires Leal Cordeiro dos Santos; Nelson Nardo Junior
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Abstract The prevalence of obesity is rapidly increasing worldwide, no mattering age groups and socioeconomic status. In Brazil, it is still unclear the prevalence of obesity in children and adolescents, since most Brazilian studies have only verified regional prevalence of obesity. Therefore, the aim of the present study was to analyze the scientific production regarding the prevalence of weight excess in Brazilian children and adolescents. A search in the relevant electronic databases Medline/Pubmed, Web of Science, Lilacs, Scielo and BVS was performed. After analyzing 61 studies, the overall prevalence was 25.5%. When sample was stratified weight excess degree, a prevalence of 17% and 11.6% for overweight and obesity were observed, respectively. Analyzing differences by sex, boys presented higher prevalence of overall weight excess (e.g., 26.4% vs 23.5%), overweight (17% vs 16%) and obesity (11.9% vs 9.1%) than girls. With respect to Brazilian regions and its differences, individuals from southern presented the highest prevalence of overall weight excess (33.2%) and overweight (20.1%). The southeastern region showed the highest prevalence of obesity (18.2%). The results obtained in the current study indicate that Brazil presents a scenario of crescent increasing on the prevalence of weight excess. These results are in accordance with studies from other countries, and reinforce the increase of the overall weight excess prevalence in Brazilian children and adolescents, highlighting the increasing of obesity rates, since it is a more concerning condition than overweight. Therefore, preventive measures to reduce weight excess increase, as well as treatment programs aiming to tackle obesity in childhood should be public health system top priority.

  5. B

    Brazil BR: Prevalence of Overweight: Weight for Height: % of Children Under...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil BR: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate [Dataset]. https://www.ceicdata.com/en/brazil/social-health-statistics/br-prevalence-of-overweight-weight-for-height--of-children-under-5-modeled-estimate
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Brazil
    Description

    Brazil BR: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 10.900 % in 2024. This records an increase from the previous number of 10.500 % for 2023. Brazil BR: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 7.700 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 10.900 % in 2024 and a record low of 6.100 % in 2000. Brazil BR: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

  6. f

    Data from: Factors associated with overweight and abdominal obesity in...

    • scielo.figshare.com
    xls
    Updated May 31, 2023
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    Helen Carla Vieira Caixeta; Angelica Amorim Amato (2023). Factors associated with overweight and abdominal obesity in Brazilian school-aged children: a comprehensive approach [Dataset]. http://doi.org/10.6084/m9.figshare.12095106.v1
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Helen Carla Vieira Caixeta; Angelica Amorim Amato
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    ABSTRACT Objective We investigated the association between demographic, socio-economic, perinatal, parental and lifestyle-related factors with general and abdominal obesity among prepubertal children aged 6 to 8 years in a Southeastern city of Brazil. Subjects and methods A total of 486 children were randomly selected from public schools in the city of Patos de Minas, and examined to determine body mass index (BMI) and waist circumference (WC). Demographic, socio-economic, perinatal, parental and lifestyle-related data were obtained and assessed as independent risk factors for overweight/obesity and abdominal obesity, using multiple regression analysis. Results Obesity/overweight (BMI percentile ≥ 85), seen in 19% of the children, was positively associated with low maternal education, being born small for gestational age, maternal BMI and screen time, whereas abdominal obesity (WC percentile > 90), seen in 9.9% of the children, was positively associated with maternal age and maternal BMI. When BMI and WC percentile were analyzed as continuous variables, birth by cesarean section, parental BMI, and lower sleep time were positively associated with BMI percentile, and birth by cesarean section, being born small for gestational age, and parental BMI were positively associated with WC percentile. Conclusion Our findings suggest that the frequency of overweight and obesity in a city in the Southeastern region of Brazil is similar to the global frequency reported by the World Health Organization. We also found that many modifiable risk factors were associated with general and abdominal obesity, and these may possibly substantiate future strategies to prevent childhood obesity and its consequences in adult life.

  7. M

    Brazil Obesity Rate | Historical Chart | Data | N/A-N/A

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Brazil Obesity Rate | Historical Chart | Data | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/bra/brazil/obesity-rate
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    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Historical dataset showing Brazil obesity rate by year from N/A to N/A.

  8. Adult obesity rates in Brazil 2008-2023, by gender

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Adult obesity rates in Brazil 2008-2023, by gender [Dataset]. https://www.statista.com/statistics/761185/share-adult-people-obese-gender-brazil/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America, Brazil
    Description

    According to the body mass index (BMI) computed by the source with the weight and height of the respondents, approximately ** percent of male Brazilian interviewees were considered obese (BMI≥30kg/m2) in 2023, up from ** percent of the men surveyed two years earlier. This figure was slightly lower than the share of female respondents who were found obese, which reached nearly ** percent as of 2023.

  9. f

    Data from: Time trends in morbid obesity prevalence in the Brazilian adult...

    • scielo.figshare.com
    xls
    Updated May 31, 2023
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    Deborah Carvalho Malta; Alanna Gomes da Silva; Luis Antônio Batista Tonaco; Maria Imaculada de Fátima Freitas; Gustavo Velasquez-Melendez (2023). Time trends in morbid obesity prevalence in the Brazilian adult population from 2006 to 2017 [Dataset]. http://doi.org/10.6084/m9.figshare.9870635.v1
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Deborah Carvalho Malta; Alanna Gomes da Silva; Luis Antônio Batista Tonaco; Maria Imaculada de Fátima Freitas; Gustavo Velasquez-Melendez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study was an assessment of time trends in morbid obesity prevalence in the adult population in Brazil’s state capitals from 2006 to 2017. A cross-sectional study was performed with data from the Risk and Protective Factors Surveillance System for Chronic Noncommunicable Diseases Through Telephone Interview (Vigitel), analyzed by simple linear regression. The results showed an upward trend in morbid obesity prevalence in Brazil. Women showed higher prevalence rates (1.3% in 2006 and 1.9% in 2017) when compared to men (0.9% and 1.4%). The 25-44-year age bracket showed an upward trend from 0.9% to 2.1% (p < 0.001). There was an increase in morbid obesity in all levels of schooling and all regions of Brazil. The state capitals with upward trends in males were Campo Grande, Curitiba, Fortaleza, Macapá, Manaus, Palmas, Porto Velho, Rio Branco, and Teresina. In females, they were Belo Horizonte, Campo Grande, Rio de Janeiro, and Teresina. The growth in morbid obesity in Brazil sounds a warning on the urgent need to adopt measures to detain it, such as regulation of ultra-processed foods and health education measures for the entire population.

  10. f

    Data from: Relationship between obesity and biochemical markers in Brazilian...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Alexandre Romero; Leandro Fornias Machado de Rezende; Simone Cristina Scarpa Romero; Betzabeth Slater Villar (2023). Relationship between obesity and biochemical markers in Brazilian adolescents [Dataset]. http://doi.org/10.6084/m9.figshare.20017467.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Alexandre Romero; Leandro Fornias Machado de Rezende; Simone Cristina Scarpa Romero; Betzabeth Slater Villar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    The aim of this study was to describe the prevalence of biochemical markers and associate with obesity in Brazilian adolescents enrolled in public schools in a rural area. The sample consisted of 199 adolescents between 10 to 14 years old from Piracicaba, Brazil. The obesity was measured by body mass index (BMI) and according to the World Health Organization curves. We collected blood for biochemical markers analysis (total cholesterol, high density lipoprotein, low density lipoprotein, triacylglycerol, insulin and glycemia). Mann Whitney test was used to compare continuous variables between sexes. Chi-square test was used to compare proportions. To investigate the association between the independent variables and biochemical markers a multiple logistic regression model was performed. Among 199 adolescents, 23.1% was obese and 65.8% were insufficiently active. A high prevalence of dyslipidemia (71.4%) was observed, whereas the low levels of high density lipoprotein (40.7%) were the most prevalent. An association between obesity and undesirable values for high density lipoprotein, triacylglycerol and insulin resistance was found. Obese adolescents were less likely to present a desirable value for high density lipoprotein. It is understood that obesity is detrimental to metabolic profile and should be prevented and treated even in adolescence.

  11. f

    Data from: Cross-cultural adaptation and validation to Brazil of the...

    • scielo.figshare.com
    jpeg
    Updated Jun 4, 2023
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    Andreia Mara Brolezzi Brasil; Fábio Brasil; Angélica Aparecida Maurício; Regina Maria Vilela (2023). Cross-cultural adaptation and validation to Brazil of the Obesity-related Problems Scale [Dataset]. http://doi.org/10.6084/m9.figshare.5667022.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    SciELO journals
    Authors
    Andreia Mara Brolezzi Brasil; Fábio Brasil; Angélica Aparecida Maurício; Regina Maria Vilela
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    ABSTRACT Objective To validate a reliable version of the Obesity-related Problems Scale in Portuguese to use it in Brazil. Methods The Obesity-related Problems Scale was translated and transculturally adapted. Later it was simultaneously self-applied with a 12-item version of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0), to 50 obese patients and 50 non-obese individuals, and applied again to half of them after 14 days. Results The Obesity-related Problems scale was able to differentiate obese from non-obese individuals with higher accuracy than WHODAS 2.0, correlating with this scale and with body mass index. The factor analysis determined a two-dimensional structure, which was confirmed with χ2/df=1.81, SRMR=0.05, and CFI=0.97. The general a coefficient was 0.90 and the inter-item intra-class correlation, in the reapplication, ranged from 0.75 to 0.87. Conclusion The scale proved to be valid and reliable for use in the Brazilian population, without the need to exclude items.

  12. Forecast: Overweight or Obese Population (Self-Reported) in Brazil 2024 -...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Overweight or Obese Population (Self-Reported) in Brazil 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/978fde2581a359115b0fbf02df3f19605c19b570
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Forecast: Overweight or Obese Population (Self-Reported) in Brazil 2024 - 2028 Discover more data with ReportLinker!

  13. m

    Brazil Obesity Management Market Size and Forecasts 2030

    • mobilityforesights.com
    pdf
    Updated Apr 26, 2025
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    Mobility Foresights (2025). Brazil Obesity Management Market Size and Forecasts 2030 [Dataset]. https://mobilityforesights.com/product/brazil-obesity-management-market
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    pdfAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Mobility Foresights
    License

    https://mobilityforesights.com/page/privacy-policyhttps://mobilityforesights.com/page/privacy-policy

    Area covered
    Brazil
    Description

    Brazil Obesity Management Market growth is driven by rising obesity rates, technological advancements, and supportive government initiatives.

  14. f

    Data from: Structure and adequacy of work processes in the care of obesity...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Ana Laura Brandão; Erika Cardoso dos Reis; Cláudia Valéria Cardim da Silva; Cristiane Marques Seixas; Juliana Pereira Casemiro (2023). Structure and adequacy of work processes in the care of obesity in Brazilian Primary Care [Dataset]. http://doi.org/10.6084/m9.figshare.14282748.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Ana Laura Brandão; Erika Cardoso dos Reis; Cláudia Valéria Cardim da Silva; Cristiane Marques Seixas; Juliana Pereira Casemiro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT This article analyzes the availability of structure and adequacy of the work process in the care of obesity in Primary Care (PC) in Brazil and regions. To this end, a descriptive, cross-sectional study with a quantitative approach was carried out based on secondary data from the external evaluation component available in the NPIAQ-PC, cycle 2. Data analysis started from three dimensions: food and nutritional surveillance; coordination of care and assistance; and health promotion and education actions. The results point to high values regarding the availability of infrastructure to care for obesity, although in none of the variables it reaches 100%. Regarding the adequacy of care work processes to obesity, however, smaller proportions were identified, indicating an incipient performance in the three dimensions. The analysis suggest that obesity care has been benefited from the provision of resources for structuring Basic Health Units and that sustaining this investment in PC is relevant for maintaining the structure and for qualifying work processes. The development of evaluative studies on this theme can play an important role in the planning of actions.

  15. Forecast: Prevalence of Obesity Among Women Aged 18 or over in Brazil 2022 -...

    • reportlinker.com
    Updated Apr 12, 2024
    + more versions
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    ReportLinker (2024). Forecast: Prevalence of Obesity Among Women Aged 18 or over in Brazil 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/1456f71ccd0ef8e1cc2081376db8107496d525e2
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    Dataset updated
    Apr 12, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Forecast: Prevalence of Obesity Among Women Aged 18 or over in Brazil 2022 - 2026 Discover more data with ReportLinker!

  16. f

    Gender differences in the association between tooth loss and obesity among...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    jpeg
    Updated May 30, 2023
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    Ankur Singh; Marco Aurélio Peres; Karen Glazer Peres; Carla de Oliveira Bernardo; Andre Xavier; Eleonora D’Orsi (2023). Gender differences in the association between tooth loss and obesity among older adults in Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.5670364.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Ankur Singh; Marco Aurélio Peres; Karen Glazer Peres; Carla de Oliveira Bernardo; Andre Xavier; Eleonora D’Orsi
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    OBJECTIVE To analyze if differences according to gender exists in the association between tooth loss and obesity among older adults.METHODS We analyzed data on 1,704 older adults (60 years and over) from the baseline of a prospective cohort study conducted in Florianopolis, SC, Southern Brazil. Multivariable logistic regression models were used to assess the association between tooth loss and general and central obesity after adjustment for confounders (age, gender, skin color, educational attainment, income, smoking, physical activity, use of dentures, hypertension, and diabetes). Linear regressions were also assessed with body mass index and waist circumference as continuous outcomes. Interaction between gender and tooth loss was further assessed.RESULTS Overall mean body mass index was 28.0 kg/m2. Mean waist circumference was 96.8 cm for males and 92.6 cm for females. Increasing tooth loss was positively associated with increased body mass index and waist circumference after adjustment for confounders. Edentates had 1.4 (95%CI 1.1;1.9) times higher odds of being centrally obese than individuals with a higher number of teeth; however, the association lost significance after adjustment for confounders. In comparison with edentate males, edentate females presented a twofold higher adjusted prevalence of general and central obesity. In the joint effects model, edentate females had a 3.8 (95%CI 2.2;6.6) times higher odds to be centrally obese in comparison with males with more than 10 teeth present in both the arches. Similarly, females with less than 10 teeth in at least one arch had a 2.7 (95%CI 1.6;4.4) times higher odds ratio of having central obesity in comparison with males with more than 10 teeth present in both the arches.CONCLUSIONS Central obesity was more prevalent than general obesity among the older adults. We did not observe any association between general obesity and tooth loss. The association between central obesity and tooth loss depends on gender – females with tooth loss had greater probability of being obese.

  17. Forecast: Prevalence of Overweight in Brazil 2024 - 2028

    • reportlinker.com
    Updated Apr 12, 2024
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    ReportLinker (2024). Forecast: Prevalence of Overweight in Brazil 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/68cc947934397c9ad30c4b69c323ea87e9a2371d
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    Dataset updated
    Apr 12, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Forecast: Prevalence of Overweight in Brazil 2024 - 2028 Discover more data with ReportLinker!

  18. Adult overweight and obesity rates in Brazil 2023, by gender

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Adult overweight and obesity rates in Brazil 2023, by gender [Dataset]. https://www.statista.com/statistics/1403278/share-adult-people-overweight-obese-brazil-by-gender/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    A study conducted in 2023 found that overweight was more prevalent among adult men than women in Brazil. According to their estimated body mass index (BMI), more than *** out of ten male respondents were overweight. On the other hand, the share of adult women with obesity, or reporting a body mass index equal to or larger than ** kg/m2, reached nearly ** percent as of that year.

  19. f

    Baseline obesity in Brazil and expected obesity reduction after the...

    • plos.figshare.com
    xls
    Updated Jul 17, 2024
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    Ana Basto-Abreu; Rossana Torres-Alvarez; Tonatiuh Barrientos-Gutierrez; Paula Pereda; Ana Clara Duran (2024). Baseline obesity in Brazil and expected obesity reduction after the implementation of a tax on SSBs, considering caloric changes from sugar-sweetened beverages and from all beverages. [Dataset]. http://doi.org/10.1371/journal.pmed.1004399.t003
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    xlsAvailable download formats
    Dataset updated
    Jul 17, 2024
    Dataset provided by
    PLOS Medicine
    Authors
    Ana Basto-Abreu; Rossana Torres-Alvarez; Tonatiuh Barrientos-Gutierrez; Paula Pereda; Ana Clara Duran
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Baseline obesity in Brazil and expected obesity reduction after the implementation of a tax on SSBs, considering caloric changes from sugar-sweetened beverages and from all beverages.

  20. Forecast: Obese Population (Self-Reported) in Brazil 2022 - 2026

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Obese Population (Self-Reported) in Brazil 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/8d5f7b0f5ea98d45b2d3f30a7a47217a0967a440
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    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Forecast: Obese Population (Self-Reported) in Brazil 2022 - 2026 Discover more data with ReportLinker!

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Statista (2025). Adult overweight and obesity rates in Brazil 2008-2023 [Dataset]. https://www.statista.com/statistics/781305/share-adult-people-obese-brazil/
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Adult overweight and obesity rates in Brazil 2008-2023

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Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Brazil
Description

The prevalence of overweight and obesity in Brazil has been consistently increasing in recent years. While in 2008 an estimated ** percent of the population was considered overweight and ** percent was considered obese, by 2023, these figures reached over ** percent and more than ** percent, respectively. What is causing a high prevalence of overweight and obesity in Brazil? There is not one single element causing the high prevalence of overweight and obesity in Brazil, but a range of structural, cultural, demographic, and socioeconomic factors. Examples of these are changes in eating habits due to urbanization, the availability and affordability of certain products that make it more difficult to follow a healthy diet, and the level of nutritional awareness. The cost of overweight and obesity The biggest cost of overweight and obesity in Brazil falls on the population itself, with diseases such as hypertension, cancer, and diabetes increasing in prevalence as rates of these conditions rise. These diseases strongly impact the well-being of the population, and result in additional economic costs for the healthcare system. In Brazil, this economic loss is forecast to surpass ** billion U.S. dollars by 2030, and nearly *** billion U.S. dollars by 2060.

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