31 datasets found
  1. Overweight and obesity prevalence in adults Mexico 2023, by age

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Overweight and obesity prevalence in adults Mexico 2023, by age [Dataset]. https://www.statista.com/statistics/1376625/overweight-obesity-prevalence-by-age-mexico/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As of 2023, the age category with the highest prevalence of overweight and obesity in Mexico was the group of adults between 40 and 59 years of age. That year, approximately ** percent of adult respondents were estimated to suffer from overweight or obesity. The same study found that over ** percent of adults over 60 years of age in the North American country had overweight or obesity. A body mass index (BMI) between ** and **** kg/m² is considered overweight.

  2. Overweight and obesity prevalence in adults in Mexico 2021, by region

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Overweight and obesity prevalence in adults in Mexico 2021, by region [Dataset]. https://www.statista.com/statistics/1376789/overweight-obesity-prevalence-by-region-mexico/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Mexico
    Description

    In 2021, the State of Mexico was the region with the highest prevalence of overweight in Mexico, reaching approximately **** percent of interviewed adults aged 20 years or older. Mexico City and the South Pacific region followed, both with an overweight prevalence among adults of about **** percent. Meanwhile, for obesity, the highest prevalence was reported in the Border region, where more than four in every ten people were suffering from obesity or had a body mass index (BMI) equal to or larger than ** kg/m². Obesity was more common among women than men in Mexico as of that year.

  3. M

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

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Mexico Obesity Rate | Historical Data | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/mex/mexico/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
    Mexico
    Description

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

  4. Overweight and obesity prevalence in adults in Mexico 2023, by gender

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Overweight and obesity prevalence in adults in Mexico 2023, by gender [Dataset]. https://www.statista.com/statistics/1376775/overweight-obesity-prevalence-by-gender-mexico/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As of 2023, more than seven in ten adults aged 20 years or older had overweight or obesity in Mexico. By gender, overweight prevalence among adults was higher among men than women in the Latin American country, reaching almost ** percent of interviewed men and ** percent of women. In contrast, obesity prevalence was more pronounced in women than men, with ** percent of women respondents reporting having obesity or a body mass index equal to or higher than ** kg/m².

  5. f

    Disparities in Early Transitions to Obesity in Contemporary Multi-Ethnic...

    • plos.figshare.com
    docx
    Updated May 31, 2023
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    Christy L. Avery; Katelyn M. Holliday; Sujatro Chakladar; Joseph C. Engeda; Shakia T. Hardy; Jared P. Reis; Pamela J. Schreiner; Christina M. Shay; Martha L. Daviglus; Gerardo Heiss; Dan Yu Lin; Donglin Zeng (2023). Disparities in Early Transitions to Obesity in Contemporary Multi-Ethnic U.S. Populations [Dataset]. http://doi.org/10.1371/journal.pone.0158025
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Christy L. Avery; Katelyn M. Holliday; Sujatro Chakladar; Joseph C. Engeda; Shakia T. Hardy; Jared P. Reis; Pamela J. Schreiner; Christina M. Shay; Martha L. Daviglus; Gerardo Heiss; Dan Yu Lin; Donglin Zeng
    License

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

    Area covered
    United States
    Description

    BackgroundFew studies have examined weight transitions in contemporary multi-ethnic populations spanning early childhood through adulthood despite the ability of such research to inform obesity prevention, control, and disparities reduction.Methods and ResultsWe characterized the ages at which African American, Caucasian, and Mexican American populations transitioned to overweight and obesity using contemporary and nationally representative cross-sectional National Health and Nutrition Examination Survey data (n = 21,220; aged 2–80 years). Age-, sex-, and race/ethnic-specific one-year net transition probabilities between body mass index-classified normal weight, overweight, and obesity were estimated using calibrated and validated Markov-type models that accommodated complex sampling. At age two, the obesity prevalence ranged from 7.3% in Caucasian males to 16.1% in Mexican American males. For all populations, estimated one-year overweight to obesity net transition probabilities peaked at age two and were highest for Mexican American males and African American females, for whom a net 12.3% (95% CI: 7.6%-17.0%) and 11.9% (95% CI: 8.5%-15.3%) of the overweight populations transitioned to obesity by age three, respectively. However, extrapolation to the 2010 U.S. population demonstrated that Mexican American males were the only population for whom net increases in obesity peaked during early childhood; age-specific net increases in obesity were approximately constant through the second decade of life for African Americans and Mexican American females and peaked at age 20 for Caucasians.ConclusionsAfrican American and Mexican American populations shoulder elevated rates of many obesity-associated chronic diseases and disparities in early transitions to obesity could further increase these inequalities if left unaddressed.

  6. M

    Mexico MX: Prevalence of Overweight: Weight for Height: % of Children Under...

    • ceicdata.com
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    CEICdata.com, Mexico MX: Prevalence of Overweight: Weight for Height: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/mexico/health-statistics/mx-prevalence-of-overweight-weight-for-height--of-children-under-5
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    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, 1988 - Dec 1, 2015
    Area covered
    Mexico
    Description

    Mexico MX: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 5.200 % in 2015. This records a decrease from the previous number of 9.000 % for 2012. Mexico MX: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 7.600 % from Dec 1988 (Median) to 2015, with 6 observations. The data reached an all-time high of 11.000 % in 1989 and a record low of 5.200 % in 2015. Mexico MX: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: 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 new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. 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

  7. Overweight and obesity prevalence in adults in Mexico 2023, by urbanization

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Overweight and obesity prevalence in adults in Mexico 2023, by urbanization [Dataset]. https://www.statista.com/statistics/1376820/overweight-obesity-prevalence-by-urbanization-mexico/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As of 2023, Mexico had an estimated overweight and obesity prevalence of around ** percent of its adult population. In that year, a study found that overweight prevalence was higher in the urban area of the North American country, where approximately **** percent of interviewed adults suffered from this health condition. Obesity was also more prevalent in the urban area, reaching around **** percent of adults aged 20 years or older. People with a body mass index (BMI) equal to or larger than 30 kg/m² are considered as having obesity.

  8. M

    Mexico MX: Prevalence of Overweight: Weight for Height: Female: % of...

    • ceicdata.com
    Updated Mar 15, 2019
    + more versions
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    CEICdata.com (2019). Mexico MX: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/mexico/health-statistics/mx-prevalence-of-overweight-weight-for-height-female--of-children-under-5
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    Dataset updated
    Mar 15, 2019
    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, 1989 - Dec 1, 2012
    Area covered
    Mexico
    Description

    Mexico MX: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 9.000 % in 2012. This records an increase from the previous number of 6.700 % for 2006. Mexico MX: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 8.200 % from Dec 1989 (Median) to 2012, with 4 observations. The data reached an all-time high of 9.500 % in 1989 and a record low of 6.700 % in 2006. Mexico MX: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Health Statistics. Prevalence of overweight, female, is the percentage of girls 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 new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. 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

  9. Population share with overweight in Mexico 2014-2029

    • statista.com
    Updated Nov 30, 2018
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    Statista Research Department (2018). Population share with overweight in Mexico 2014-2029 [Dataset]. https://www.statista.com/study/59027/health-in-mexico/
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    Dataset updated
    Nov 30, 2018
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Mexico
    Description

    The share of the population with overweight in Mexico was forecast to continuously increase between 2024 and 2029 by in total two percentage points. After the fifteenth consecutive increasing year, the overweight population share is estimated to reach 69.59 percent and therefore a new peak in 2029. Notably, the share of the population with overweight of was continuously increasing over the past years.Overweight is defined as a body mass index (BMI) of more than 25.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the share of the population with overweight in countries like United States and Canada.

  10. f

    S1 Data -

    • plos.figshare.com
    • figshare.com
    xlsx
    Updated Oct 3, 2023
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    Juan Carlos Salgado Hernandez; Shu Wen Ng; Sally C. Stearns; Justin G. Trogdon (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0292276.s002
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    xlsxAvailable download formats
    Dataset updated
    Oct 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Juan Carlos Salgado Hernandez; Shu Wen Ng; Sally C. Stearns; Justin G. Trogdon
    License

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

    Description

    In 2014, Mexico implemented a tax on sugar-sweetened beverages (SSB) equivalent to one Mexican peso (MP) per liter to address the high obesity prevalence. This tax has effectively reduced SSB purchases and yielded healthcare savings; however, it remains unknown whether SSB taxes lead to net benefits at the societal level in Mexico. Moreover, public health experts recommend increasing the tax. The objective of this study is to estimate the net benefits of SSB taxes compared to a scenario of no tax in urban Mexico. Taxes include the one-MP tax and alternative higher taxes (two and three MP per SSB liter). Thus, we conducted a cost-benefit analysis from the perspective of the government, producers, and consumers for a simulated closed cohort of adults in a life-table model. We defined net benefits as the difference between economic benefits (the value of statistical life, healthcare savings, and tax revenue) and costs (consumer surplus and profit losses). We found that, at the societal level, all simulated taxes will eventually generate benefits that surpass costs within ten years. Overall net benefits can reach USD 7.1 billion and 15.3 billion for the one-MP and the three-MP tax, respectively. Hence, these benefits increased at a declining rate compared to taxes. The government and consumers will experience overall positive net benefits among society’s members. Policymakers should consider time horizons and tradeoffs between health gains and economic outcomes across different society members.

  11. Mexico Prevalence of Overweight: % of Adults

    • ceicdata.com
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    CEICdata.com, Mexico Prevalence of Overweight: % of Adults [Dataset]. https://www.ceicdata.com/en/mexico/social-health-statistics/prevalence-of-overweight--of-adults
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    Dataset provided by
    CEIC Data
    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, 2005 - Dec 1, 2016
    Area covered
    Mexico
    Description

    Mexico Prevalence of Overweight: % of Adults data was reported at 64.900 % in 2016. This records an increase from the previous number of 64.400 % for 2015. Mexico Prevalence of Overweight: % of Adults data is updated yearly, averaging 52.950 % from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 64.900 % in 2016 and a record low of 37.300 % in 1975. Mexico Prevalence of Overweight: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Social: Health Statistics. Prevalence of overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;;

  12. Predicted change in absolute and relative prevalence and absolute number of...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Ana Basto-Abreu; Ariela Braverman-Bronstein; Dalia Camacho-García-Formentí; Rodrigo Zepeda-Tello; Barry M. Popkin; Juan Rivera-Dommarco; Mauricio Hernández-Ávila; Tonatiuh Barrientos-Gutiérrez (2023). Predicted change in absolute and relative prevalence and absolute number of individuals for normal, overweight, and obesity after 12 years of the implementation of a 50% gradual reduction of added sugar in SSBs, considering a 43% compensation (data projected to year 2032). [Dataset]. http://doi.org/10.1371/journal.pmed.1002664.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ana Basto-Abreu; Ariela Braverman-Bronstein; Dalia Camacho-García-Formentí; Rodrigo Zepeda-Tello; Barry M. Popkin; Juan Rivera-Dommarco; Mauricio Hernández-Ávila; Tonatiuh Barrientos-Gutiérrez
    License

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

    Description

    Predicted change in absolute and relative prevalence and absolute number of individuals for normal, overweight, and obesity after 12 years of the implementation of a 50% gradual reduction of added sugar in SSBs, considering a 43% compensation (data projected to year 2032).

  13. Obesity costs prevented due to warning labels in Mexico after 5 years among...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Ana Basto-Abreu; Rossana Torres-Alvarez; Francisco Reyes-Sánchez; Romina González-Morales; Francisco Canto-Osorio; M. Arantxa Colchero; Simón Barquera; Juan A. Rivera; Tonatiuh Barrientos-Gutierrez (2023). Obesity costs prevented due to warning labels in Mexico after 5 years among adults 20–59 years old. [Dataset]. http://doi.org/10.1371/journal.pmed.1003221.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ana Basto-Abreu; Rossana Torres-Alvarez; Francisco Reyes-Sánchez; Romina González-Morales; Francisco Canto-Osorio; M. Arantxa Colchero; Simón Barquera; Juan A. Rivera; Tonatiuh Barrientos-Gutierrez
    License

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

    Area covered
    Mexico
    Description

    Obesity costs prevented due to warning labels in Mexico after 5 years among adults 20–59 years old.

  14. COIPIScohort.xlsx

    • figshare.com
    xlsx
    Updated Feb 14, 2019
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    Paula Costa-Urrutia; Eunice Rodriguez-Arellano (2019). COIPIScohort.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.7721963.v1
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    xlsxAvailable download formats
    Dataset updated
    Feb 14, 2019
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Paula Costa-Urrutia; Eunice Rodriguez-Arellano
    License

    https://www.gnu.org/copyleft/gpl.htmlhttps://www.gnu.org/copyleft/gpl.html

    Description

    The dataset contains data from children from COIPIS cohort of sex, age, percent of body fat and body mass index. COIPIS cohort started in 2012 in response to the need for establishing a prospective childhood obesity epidemiologic study. The sample consisted of 1061 girls and 1121 boys, from 3 to 17 years old. Participants were invited among ISSSTE right-holder teachers who were also members of the union, and patients treated at ISSSTE clinics distributed in Mexico City. Participants were examined every 6 months, since they were recruited until they turned 17 years old.

  15. f

    The complex scenario of obesity, diabetes and hypertension in the area of...

    • plos.figshare.com
    pdf
    Updated May 31, 2023
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    J. E. Alcalde-Rabanal; E. Orozco-Núñez; O. E. Espinosa-Henao; A. Arredondo-López; L. Alcayde-Barranco (2023). The complex scenario of obesity, diabetes and hypertension in the area of influence of primary healthcare facilities in Mexico [Dataset]. http://doi.org/10.1371/journal.pone.0187028
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    J. E. Alcalde-Rabanal; E. Orozco-Núñez; O. E. Espinosa-Henao; A. Arredondo-López; L. Alcayde-Barranco
    License

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

    Description

    IntroductionAmong non-communicable chronic diseases (NCCD), diabetes and hypertension are the main cause of adult mortality worldwide. Among the members of the Organization for Economic Cooperation and Development, Mexico is first in prevalence of diabetes and second in obesity. To face this problematic situation of NCCDs the Ministry of Health declared a national epidemiological alert against the overweight, obesity and diabetes. The target of this study is to characterize the status of obesity, diabetes and hypertension in the adult population in the area of influence of primary health facilities located in high social marginality areas.MethodsWe conducted a cross-sectional observational study and used a convenience sample. A survey was conducted on a population of 18 years old and above in four primary health facilities in four Mexican States. The survey explored sociodemographic characteristics, the presence of chronic diseases, the access to healthcare services, risk factors and life styles. We also applied a complementary questionnaire to 20% of the participants, in order to explore food consumption during the last week and physical activity (International Physical Activity Questionnaire). We based our analysis on descriptive statistics and logistic multivariate regression to analyze factors associated with diabetes and hypertension.Results73% (n = 7531, CI 0.72–0.74) percent of the population reported being diabetic, hypertensive and/or overweight. The majority of them receive healthcare in public health services. People over 40 years old, are 11 times more probable of living with diabetes and 8.7 times more probable of living with hypertension. Both conditions affect mostly women, whose main activity is to be a housewife. People who have lunch and dinner out of home are more likely to develop diabetes. People who perform intense physical activity are less likely to live with hypertension.ConclusionAccording to the self-report, more than 70% of adult population living in areas with high social marginality suffer diabetes, hypertension and obesity. However, the percentage of people who live with these chronic conditions and are not aware of them, is unknown. The Mexican health system needs a primary healthcare that emphasizes on health promotion, timely detection of risk factors of Non Communicable Diseases and prevention of their complications.

  16. Estimates of caloric, body weight, BMI, and obesity changes 1 year after...

    • plos.figshare.com
    xls
    Updated May 10, 2024
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    Ana Basto-Abreu; Martha Carnalla; Francisco Reyes-Sánchez; Alan Reyes-García; Michelle M. Haby; Isabel Junquera-Badilla; Lianca Sartoris-Ayala; Juan A. Rivera; Barry M. Popkin; Tonatiuh Barrientos-Gutiérrez (2024). Estimates of caloric, body weight, BMI, and obesity changes 1 year after implementing the banning of NEDFBs in schools in Mexico. [Dataset]. http://doi.org/10.1371/journal.pmed.1004394.t001
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    xlsAvailable download formats
    Dataset updated
    May 10, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ana Basto-Abreu; Martha Carnalla; Francisco Reyes-Sánchez; Alan Reyes-García; Michelle M. Haby; Isabel Junquera-Badilla; Lianca Sartoris-Ayala; Juan A. Rivera; Barry M. Popkin; Tonatiuh Barrientos-Gutiérrez
    License

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

    Area covered
    Mexico
    Description

    Estimates of caloric, body weight, BMI, and obesity changes 1 year after implementing the banning of NEDFBs in schools in Mexico.

  17. Most common cause of death in Mexico 2023

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Most common cause of death in Mexico 2023 [Dataset]. https://www.statista.com/statistics/960030/mexico-causes-death/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Mexico
    Description

    Heart conditions were the most common causes of death in Mexico in 2023. During that period, more than ******* people died in the North American country as a result from said conditions. Diabetes mellitus ranked second, with over ******* deaths registered that year. Obesity in MexicoObesity and being overweight can worsen many risk factors for developing heart conditions, prediabetes, type 2 diabetes, and gestational diabetes, which in the case of a COVID-19 infection can lead to a severe course of the disease. In 2020, Mexico was reported as having one of the largest overweight and/or obese population in Latin America, with ** percent of people in the country having a body mass index higher than 25. In 2022, obesity was announced as being one of the most common illnesses experienced in Mexico, with over ******* cases estimated. In a decade from now, it is predicted that about *** million children in Mexico will suffer from obesity. If estimations are correct, this North American country will belong to the world’s top 10 countries with the most obese children in 2030. Physical activity in MexicoIt is not only a matter of food intake. A 2023 survey found, for instance, that only **** percent of Mexican population practiced sports and physical activities in their free time, a figure that has decreased in comparison to 2013. Less than ** percent of the physically active Mexicans practice sports for fun. However, the vast majority were motivated by health reasons.

  18. T

    United States Exports of lard, other pig fat and poultry fat, rendered to...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 6, 2020
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    TRADING ECONOMICS (2020). United States Exports of lard, other pig fat and poultry fat, rendered to Mexico [Dataset]. https://tradingeconomics.com/united-states/exports/mexico/lard-pig-fat-poultry-fat-rendered
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Feb 6, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Exports of lard, other pig fat and poultry fat, rendered to Mexico was US$30.8 Million during 2024, according to the United Nations COMTRADE database on international trade. United States Exports of lard, other pig fat and poultry fat, rendered to Mexico - data, historical chart and statistics - was last updated on September of 2025.

  19. Body weight and obesity reduction 1 year after the intervention varying...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 10, 2024
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    Ana Basto-Abreu; Martha Carnalla; Francisco Reyes-Sánchez; Alan Reyes-García; Michelle M. Haby; Isabel Junquera-Badilla; Lianca Sartoris-Ayala; Juan A. Rivera; Barry M. Popkin; Tonatiuh Barrientos-Gutiérrez (2024). Body weight and obesity reduction 1 year after the intervention varying compliance. [Dataset]. http://doi.org/10.1371/journal.pmed.1004394.t002
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    xlsAvailable download formats
    Dataset updated
    May 10, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ana Basto-Abreu; Martha Carnalla; Francisco Reyes-Sánchez; Alan Reyes-García; Michelle M. Haby; Isabel Junquera-Badilla; Lianca Sartoris-Ayala; Juan A. Rivera; Barry M. Popkin; Tonatiuh Barrientos-Gutiérrez
    License

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

    Description

    Body weight and obesity reduction 1 year after the intervention varying compliance.

  20. w

    Study on Global Ageing and Adult Health-2009/10, Wave 1 - Mexico

    • apps.who.int
    Updated Oct 24, 2013
    + more versions
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    Dr. R. Lopez Ridaura (2013). Study on Global Ageing and Adult Health-2009/10, Wave 1 - Mexico [Dataset]. https://apps.who.int/healthinfo/systems/surveydata/index.php/catalog/67
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    Dataset updated
    Oct 24, 2013
    Dataset authored and provided by
    Dr. R. Lopez Ridaura
    Time period covered
    2009 - 2010
    Area covered
    Mexico
    Description

    Abstract

    Purpose: The multi-country Study on Global Ageing and Adult Health (SAGE) is run by the World Health Organization's Multi-Country Studies unit in the Innovation, Information, Evidence and Research Cluster. SAGE is part of the unit's Longitudinal Study Programme which is compiling longitudinal data on the health and well-being of adult populations, and the ageing process, through primary data collection and secondary data analysis. SAGE baseline data (Wave 0, 2002/3) was collected as part of WHO's World Health Survey http://www.who.int/healthinfo/survey/en/index.html (WHS). SAGE Wave 1 (2007/10) provides a comprehensive data set on the health and well-being of adults in six low and middle-income countries: China, Ghana, India, Mexico, Russian Federation and South Africa.

    Objectives: To obtain reliable, valid and comparable health, health-related and well-being data over a range of key domains for adult and older adult populations in nationally representative samples To examine patterns and dynamics of age-related changes in health and well-being using longitudinal follow-up of a cohort as they age, and to investigate socio-economic consequences of these health changes To supplement and cross-validate self-reported measures of health and the anchoring vignette approach to improving comparability of self-reported measures, through measured performance tests for selected health domains To collect health examination and biomarker data that improves reliability of morbidity and risk factor data and to objectively monitor the effect of interventions

    Additional Objectives: To generate large cohorts of older adult populations and comparison cohorts of younger populations for following-up intermediate outcomes, monitoring trends, examining transitions and life events, and addressing relationships between determinants and health, well-being and health-related outcomes To develop a mechanism to link survey data to demographic surveillance site data To build linkages with other national and multi-country ageing studies To improve the methodologies to enhance the reliability and validity of health outcomes and determinants data To provide a public-access information base to engage all stakeholders, including national policy makers and health systems planners, in planning and decision-making processes about the health and well-being of older adults

    Methods: SAGE's first full round of data collection included both follow-up and new respondents in most participating countries. The goal of the sampling design was to obtain a nationally representative cohort of persons aged 50 years and older, with a smaller cohort of persons aged 18 to 49 for comparison purposes. In the older households, all persons aged 50+ years (for example, spouses and siblings) were invited to participate. Proxy respondents were identified for respondents who were unable to respond for themselves. Standardized SAGE survey instruments were used in all countries consisting of five main parts: 1) household questionnaire; 2) individual questionnaire; 3) proxy questionnaire; 4) verbal autopsy questionnaire; and, 5) appendices including showcards. A VAQ was completed for deaths in the household over the last 24 months. The procedures for including country-specific adaptations to the standardized questionnaire and translations into local languages from English follow those developed by and used for the World Health Survey.

    Content

    Household questionnaire 0000 Coversheet 0100 Sampling Information 0200 Geocoding and GPS Information 0300 Recontact Information 0350 Contact Record 0400 Household Roster 0450 Kish Tables and Household Consent 0500 Housing 0600 Household and Family Support Networks and Transfers 0700 Assets and Household Income 0800 Household Expenditures 0900 Interviewer Observations

    Individual questionnaire 1000 Socio-Demographic Characteristics 1500 Work History and Benefits 2000 Health State Descriptions and Vignettes 2500 Anthropometrics, Performance Tests and Biomarkers 3000 Risk Factors and Preventive Health Behaviours 4000 Chronic Conditions and Health Services Coverage 5000 Health Care Utilization 6000 Social Cohesion 7000 Subjective Well-Being and Quality of Life (WHOQoL-8 and Day Reconstruction Method) 8000 Impact of Caregiving 9000 Interviewer Assessment

    Geographic coverage

    National coverage

    Analysis unit

    households and individuals

    Universe

    The household section of the survey covered all households in all 32 federal states in Mexico. Institutionalised populations are excluded. The individual section covered all persons aged 18 years and older residing within individual households. As the focus of SAGE is older adults, a much larger sample of respondents aged 50 years and older were selected with a smaller comparative sample of respondents aged 18-49 years.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    In Mexico strata were defined by locality (metropolitan, urban, rural). A sub-sample of 211 PSUs were selected from the 797 WHS PSUs. The Basic Geo-Statistical Areas (AGEB) defined by the National Institute of Statistics (INEGI) constitutes a PSU. PSUs were selected probability proportional to three factors: a) (WHS/SAGE Wave 0 50plus): number of WHS/SAGE Wave 0 50-plus interviewed at the PSU, b) (State Population): population of the state to which the PSU belongs, c) (WHS/SAGE Wave 0 PSU at county): number of PSUs selected from the county to which the PSU belongs for the WHS/SAGE Wave 0; The first and third factors were included to reduce geographic dispersion. Factor two affords states with larger populations a greater chance of selection.

    All WHS/SAGE Wave 0 individuals aged 50 years or older in the selected rural or urban PSUs and a random sample 90% of individuals aged 50 years or older in metropolitan PSUs who had been interviewed for the WHS/SAGE Wave 0 were included in the SAGE Wave 1 ''primary'' sample. The remaining 10% of WHS/SAGE Wave 0 individuals aged 50 years or older in metropolitan areas were then allocated as a ''replacement'' sample for individuals who could not be contacted or did not consent to participate in SAGE Wave 1. A systematic sample of 1000 WHS/SAGE Wave 0 individuals aged 18-49 across all selected PSUs was selected as the ''primary'' sample and 500 as a ''replacement'' sample.

    This selection process resulted in a sample which had an over-representation of individuals from metropolitan strata; therefore, it was decided to increase the number of individuals aged 50 years or older from rural and urban strata. This was achieved by including individuals who had not been part of WHS/SAGE Wave 0 (which became a ''supplementary'' sample), although the household in which they lived included an individual from WHS/SAGE Wave 0. All individuals aged 50 or over were included from rural and urban ''18-49 households'' (that is, where an individual aged 18-49 was included in WHS/SAGE Wave 0) as part of the ''primary supplementary'' sample. A systematic random sample of individuals aged 50 years or older was then obtained from urban and rural households where an individual had already been selected as part of the 50 years and older or 18-49 samples. These individuals then formed part of the ''primary supplementary'' sample and the remainder (that is, those not systematically selected) were allocated to the ''replacement supplementary'' sample. Thus, all individuals aged 50 years or older who lived in households in urban and rural PSUs obtained for SAGE Wave 1 were selected as either a primary or replacement participant. A final ''replacement'' sample for the 50 and over age group was obtained from a systematic sample of all individuals aged 50 or over from households which included the individuals already selected for either the 50 and over or 18-49. This sampling strategy also provided participants who had not been included in WHS/SAGE Wave 0, but lived in a household where an individual had been part of WHS/SAGE Wave 0 (that is, the ''supplementary'' sample), in addition to follow-up of individuals who had been included in the WHS/SAGE Wave 0 sample.

    Strata: Locality = 3 PSU: AGEBs = 211 SSU: Households = 4 968 surveyed TSU: Individual = 5 449 surveyed

    Mode of data collection

    Face-to-face [f2f], CAPI

    Research instrument

    The questionnaires were based on the WHS Model Questionnaire with some modification and many new additions. A household questionnaire was administered to all households eligible for the study. A Verbal Autopsy questionnaire was administered to households that had a death in the last 24 months. An Individual questionniare was administered to eligible respondents identified from the household roster. A Proxy questionnaire was administered to individual respondents who had cognitive limitations. The questionnaires were developed in English and were piloted as part of the SAGE pretest in 2005. All documents were translated into Spanish. All SAGE generic questionnaires are available as external resources.

    Cleaning operations

    Data editing took place at a number of stages including: (1) office editing and coding (2) during data entry (3) structural checking of the FoxPro files (4) range and consistency secondary edits in Stata

    Response rate

    Household Response rate=59%

    Individual Response rate=51%

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Statista (2025). Overweight and obesity prevalence in adults Mexico 2023, by age [Dataset]. https://www.statista.com/statistics/1376625/overweight-obesity-prevalence-by-age-mexico/
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Overweight and obesity prevalence in adults Mexico 2023, by age

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

As of 2023, the age category with the highest prevalence of overweight and obesity in Mexico was the group of adults between 40 and 59 years of age. That year, approximately ** percent of adult respondents were estimated to suffer from overweight or obesity. The same study found that over ** percent of adults over 60 years of age in the North American country had overweight or obesity. A body mass index (BMI) between ** and **** kg/m² is considered overweight.

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