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. M

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

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Brazil Obesity Rate | Historical 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
    Jun 30, 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.

  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. 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.

  7. 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

    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.

  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. 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!

  10. 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.

  11. r

    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!

  12. 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.

  13. f

    Data from: Brazilian government proposals for actions to prevent and control...

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
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    Doralice Batista das Neves Ramos; Luciene Burlandy; Patrícia Camacho Dias; Patrícia Henriques; Luciana Maria Cerqueira Castro; Márcia Regina Mazalotti Teixeira; Cláudia Roberta Bocca; Thays da Silva Araujo; Fernando de Andrade Caldas; Thamillys Rodrigues Souza; Simone Raimondi de Souza; Myrian Coelho Cunha Cruz (2023). Brazilian government proposals for actions to prevent and control overweight and obesity from a local perspective [Dataset]. http://doi.org/10.6084/m9.figshare.14280729.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Doralice Batista das Neves Ramos; Luciene Burlandy; Patrícia Camacho Dias; Patrícia Henriques; Luciana Maria Cerqueira Castro; Márcia Regina Mazalotti Teixeira; Cláudia Roberta Bocca; Thays da Silva Araujo; Fernando de Andrade Caldas; Thamillys Rodrigues Souza; Simone Raimondi de Souza; Myrian Coelho Cunha Cruz
    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 article analyzes actions in the prevention and control of overweight and obesity that have been developed in the 92 municipalities (counties) in the state of Rio de Janeiro, Brazil, based on underlying principles in the typology of public policies developed by Lowi and Line of Care for Overweight and Obesity, according to the following analytical dimensions: program actions in prevention and control of obesity, characterization of macro policies according to the Lowi typology, and characterization of macro policies according to the Line of Care for Overweight and Obesity. The study is part of a research project from 2014 to 2018 that aimed to identify the strategies and challenges in the consolidation of the actions planned in the Line of Care for Overweight and Obesity, based on analysis of secondary data and government documents; searches in the municipalities’ official websites; interviews; focus groups; and online questionnaires with health professionals and managers. The documents point to a series of actions such as individual consultations, support groups, health gyms, school health programs, and others, reinforced by the interviewees’ narratives. Even with so many initiatives, the municipalities in the state of Rio de Janeiro face challenges with limited human resources and precarious infrastructure and equipment in the health units. To achieve mobilization in the actions to deal with obesity, the issue should be addressed specifically on the state and local agendas and not diluted among other activities and programs.

  14. f

    Data from: Simultaneity of risk behaviors for obesity in adults in the...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Mar 24, 2021
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    Malta, Deborah Carvalho; Benedet, Jucemar; Streb, Anne Ribeiro; da Silva, Robert Passos; Del Duca, Giovani Firpo (2021). Simultaneity of risk behaviors for obesity in adults in the capitals of Brazil [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000875074
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    Dataset updated
    Mar 24, 2021
    Authors
    Malta, Deborah Carvalho; Benedet, Jucemar; Streb, Anne Ribeiro; da Silva, Robert Passos; Del Duca, Giovani Firpo
    Area covered
    Brazil
    Description

    Abstract The scope of this study was to verify the association between risk behaviors and obesity in adults (18 to 59 years of age) in Brazilian capitals. It involved a cross-sectional population-based study conducted by telephone interview. The self-reported variables were obesity, defined by weight and height (BMI ≥ 30 kg/m²) and risk behaviors: physical inactivity (≤ 149 minutes/week), excess sedentarism (≥ 4 hours/day), frequent consumption of sweets (≥ 5 days/week) and meat with fat and/or chicken with skin (≥ 1 day/week). The simultaneity of risk behaviors was analyzed for reasons of observed and expected prevalence. The Poisson and multinomial logistic regressions were used in crude analyses and adjusted for sociodemographic factors. Among the 35,448 adults, the simultaneous consumption of meat with fat, excess sedentarism and physical inactivity (PR: 1.94, 95% CI: 1.45, 2.60), as well as the presence of the four risk behaviors (PR: 1.72, 95% CI: 1.16, 2.53) were associated with obesity in men. In women, the simultaneous consumption of sweets and meat with fat (PR: 1.77, 95% CI: 1.19, 2.66) was also associated with the outcome. In both sexes, there was an increase in the tendency of obesity according to the sum total of risk behaviors.

  15. f

    Data from: Abdominal obesity in ELSA-Brasil (Brazil’s Longitudinal Study of...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Mar 24, 2021
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    Amorim, Leila Denise Alves Ferreira; de Almeida, Maria da Conceição Chagas; da Fonseca, Maria de Jesus Mendes; Pitanga, Francisco José Gondim; Matos, Sheila Maria Alvim; Eickemberg, Michaela; de Aquino, Estela Maria Leão (2021). Abdominal obesity in ELSA-Brasil (Brazil’s Longitudinal Study of Adult Health): construction of a latent gold standard and evaluation of the accuracy of diagnostic indicators [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000875041
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    Dataset updated
    Mar 24, 2021
    Authors
    Amorim, Leila Denise Alves Ferreira; de Almeida, Maria da Conceição Chagas; da Fonseca, Maria de Jesus Mendes; Pitanga, Francisco José Gondim; Matos, Sheila Maria Alvim; Eickemberg, Michaela; de Aquino, Estela Maria Leão
    Description

    Abstract This study evaluated the accuracy of abdominal obesity (AO) indicators, defining a latent variable as the gold standard. The study included 12,232 participants of the ELSA-Brasil (Brazil’s Longitudinal Study of Adult Health), between 35 and 74 years of age. Three AO indicators were evaluated: waist circumference (WC), waist hip ratio (WHR) and conicity index (C index). Analyses were stratified by sex and race/skin color. All groups had a high prevalence of AO, being greater among white men (~70%) and black women (~60%). A high incidence of WC was observed for men, WHR and C index between men and women for discriminating latent AO. The following cutoff points for AO indicators were identified among white, brown and black men, respectively: WC: 89.9cm; 90.2cm and 91.7cm; WHR: 0.92; 0.92 and 0.90; C index: 1.24; 1.24 and 1.24. The cutoff points identified among white, brown and black women were, respectively: WC: 80.4cm, 82.7cm and 85.4cm; WHR: 0.82; 0.83 and 0.84; C index: 1.20; 1.22 and 1.19 The WC among men and the WHR and C index among men and women presented high power to discriminate latent AO, the C index being the best indicator.

  16. B

    Brazil Bariatric Surgery Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 6, 2025
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    Market Report Analytics (2025). Brazil Bariatric Surgery Market Report [Dataset]. https://www.marketreportanalytics.com/reports/brazil-bariatric-surgery-market-96546
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Brazil
    Variables measured
    Market Size
    Description

    The Brazilian bariatric surgery market is experiencing steady growth, projected to maintain a Compound Annual Growth Rate (CAGR) of 2.5% from 2025 to 2033. This expansion is fueled by several key factors. Rising prevalence of obesity and related comorbidities like type 2 diabetes and cardiovascular disease is driving increased demand for bariatric procedures. Improved access to healthcare, coupled with rising disposable incomes and health insurance coverage, is making these surgeries more accessible to a larger segment of the population. Technological advancements in minimally invasive surgical techniques, such as laparoscopic and robotic surgery, contribute to shorter recovery times and reduced complications, further stimulating market growth. The market is segmented by device type, including assisting devices (suturing, closure, stapling devices, trocars), implantable devices (gastric bands, electrical stimulation devices, gastric balloons), and other devices. Major players like Medtronic, Johnson & Johnson (Ethicon Inc.), and Apollo Endosurgery are actively competing in this market, offering a range of innovative products and services. However, certain restraints influence the market's trajectory. High costs associated with bariatric surgery remain a barrier for many individuals, particularly those lacking adequate insurance coverage. Furthermore, potential complications and long-term risks associated with these procedures, as well as the need for post-operative care and lifestyle modifications, can affect market penetration. Despite these challenges, the overall outlook for the Brazilian bariatric surgery market remains positive, driven by the increasing burden of obesity and the continuous improvement in surgical techniques and technologies. The market's future will likely be shaped by the expanding healthcare infrastructure and the government's initiatives to address the growing obesity epidemic in Brazil. The introduction of more cost-effective solutions and advancements in minimally invasive techniques will further enhance market expansion in the coming years. Key drivers for this market are: , Increase in Obesity Patients; Rising Prevalence of Type 2 Diabetes and Heart Diseases; Government Initiatives to Curb Obesity. Potential restraints include: , Increase in Obesity Patients; Rising Prevalence of Type 2 Diabetes and Heart Diseases; Government Initiatives to Curb Obesity. Notable trends are: Closure Device is Expected to Register a High CAGR in the Assisting Device Segment.

  17. Forecast: Prevalence of Obesity Among Males 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 Males Aged 18 or over in Brazil 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/5316ba8a3fede41bbab3ad863070b2f2f58dbe60
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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 Males Aged 18 or over in Brazil 2022 - 2026 Discover more data with ReportLinker!

  18. 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.

  19. f

    Data from: Food consumption pattern and obesity in preschool children in...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Dec 20, 2017
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    MATOS, Sheila Maria Alvim; VIEIRA, Graciete Oliveira; de Oliveira VIEIRA, Tatiana; COSTA, Maria Conceição Oliveira; de Souza GOMES, Karina Emanuella Peixoto (2017). Food consumption pattern and obesity in preschool children in Feira de Santana, Bahia, Brazil [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001807802
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    Dataset updated
    Dec 20, 2017
    Authors
    MATOS, Sheila Maria Alvim; VIEIRA, Graciete Oliveira; de Oliveira VIEIRA, Tatiana; COSTA, Maria Conceição Oliveira; de Souza GOMES, Karina Emanuella Peixoto
    Area covered
    Feira de Santana, Brazil
    Description

    ABSTRACT Objective To evaluate the association between food consumption patterns and obesity in preschool children in Feira de Santana, Bahia, Brazil. Methods Cross-sectional, population-based nested within a live-birth cohort study of 813 children, which has started in 2004 in Feira de Santana, Bahia. The anthropometric status among children under four years of age was evaluated based on their body mass index; obesity/severe obesity was defined as a Z-score >+2. The Food Frequency Questionnaire was used to identify dietary patterns using principal components analysis. The association between obesity and food consumption patterns was assessed using Pearson’s Chi-squared test and logistic regression, adopting p<0.05 to denote statistical significance. Results Obesity was detected in 12.7% of the children investigated. Four food consumption patterns were identified: dietary pattern 1 (milk and other dairy products, vegetables and tubers, cereals, legumes, fruits, and fish); dietary pattern 2 (deep-fried or baked snacks, soft drinks/artificial fruit juices, oils and fats, sweets, and coffee/tea); dietary pattern 3 (encased meats, fast food, ketchup/mayonnaise, and eggs); and, dietary pattern 4 (chicken and red meats). Obesity was statistically associated with high adherence to the dietary pattern 3 (OR=1.92; 95%CI=1.01-3.66). Conclusion The results obtained showed that the high intake of energy-dense foods (dietary pattern 3) was a contributing factor to childhood obesity. These data reinforce the need for public policies and food education programs in health units and schools, aiming to change children’s eating habits, significant predictors of nutritional problems.

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    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.

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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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