IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0035392.html
   My bibliography  Save this article

Epidemiologic Behavior of Obesity in the Maracaibo City Metabolic Syndrome Prevalence Study

Author

Listed:
  • Valmore Bermúdez
  • Maikol Pacheco
  • Joselyn Rojas
  • Evelyn Córdova
  • Rossibel Velázquez
  • Daniela Carrillo
  • María G Parra
  • Alexandra Toledo
  • Roberto Añez
  • Eneida Fonseca
  • Rafael París Marcano
  • Clímaco Cano
  • José López Miranda

Abstract

Introduction: Obesity is a worldwide public health issue. Since the epidemiological behaviour of this disease is not well established in our country, the purpose of this study was to determinate its prevalence in the Maracaibo City, Zulia State- Venezuela. Materials and Methods: A cross-sectional study was undertaken using the data set from the Maracaibo City Metabolic Syndrome Prevalence Study. The sample consists of 2108 individuals from both genders and randomly selected: 1119 (53.09%) women and 989 (46.91%) men. The participants were interrogated for a complete clinical history and anthropometric measurements. To classify obesity, the WHO criteria for Body Mass Index (BMI), and Waist Circumference (WC) from the IDF/NHLBI/AHA/WHF/IAS/IASO-2009 (IDF-2009) and ATPIII statements were applied. Results: For BMI, obesity had an overall prevalence of 33.3% (n = 701), and according to gender women had 32.4% (n = 363) and men had 34.2% (n = 338). Overweight had a prevalence of 34.8% (n = 733), Normal weight had 29.8% (n = 629), and Underweight had 2.1% (n = 45). Adding Obesity and Overweight results, the prevalence of elevated BMI (>25 Kg/m2) was 68.1%. Using the IDF-2009 WC's cut-off, Obesity had 74.2% prevalence, compared to 51.7% using the ATPIII parameters. Conclusions: These results show a high prevalence of abdominal obesity in our locality defined by the WHO, IDF-2009 and ATPIII criteria, which were not designed for Latin-American populations. We suggest further investigation to estimate the proper values according to ethnicity, genetic background and sociocultural aspects.

Suggested Citation

  • Valmore Bermúdez & Maikol Pacheco & Joselyn Rojas & Evelyn Córdova & Rossibel Velázquez & Daniela Carrillo & María G Parra & Alexandra Toledo & Roberto Añez & Eneida Fonseca & Rafael París Marcano & C, 2012. "Epidemiologic Behavior of Obesity in the Maracaibo City Metabolic Syndrome Prevalence Study," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-9, April.
    • Handle: RePEc:plo:pone00:0035392
    DOI: 10.1371/journal.pone.0035392
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0035392
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0035392&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0035392?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Md. Alauddin Majumder, 2013. "Does Obesity Matter for Wages? Evidence from the United States," Economic Papers, The Economic Society of Australia, vol. 32(2), pages 200-217, June.
    2. Maximilian D. Schmeiser, 2012. "The impact of long‐term participation in the supplemental nutrition assistance program on child obesity," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 386-404, April.
    3. von Hinke Kessler Scholder S, 2009. "Genetic Markers as Instrumental Variables: An Application to Child Fat Mass and Academic Achievement," Health, Econometrics and Data Group (HEDG) Working Papers 09/25, HEDG, c/o Department of Economics, University of York.
    4. Peng Nie & Andrew E. Clarck & Conchita D'Ambrosio & Lanlin Ding, 2020. "Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions," Working Papers 524, ECINEQ, Society for the Study of Economic Inequality.
    5. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
    6. Donal O'Neill & Olive Sweetman, 2013. "Estimating Obesity Rates in Europe in the Presence of Self-Reporting Errors," Economics Department Working Paper Series n236-13.pdf, Department of Economics, National University of Ireland - Maynooth.
    7. Martin, Molly A. & Lippert, Adam M., 2012. "Feeding her children, but risking her health: The intersection of gender, household food insecurity and obesity," Social Science & Medicine, Elsevier, vol. 74(11), pages 1754-1764.
    8. Christopher Carpenter & Sebastian Tello-Trillo, 2015. "Do 'Cheeseburger Bills' Work? Effects of Tort Reform for Fast Food," Journal of Law and Economics, University of Chicago Press, vol. 58(4).
    9. Yakusheva, Olga & Kapinos, Kandice & Weiss, Marianne, 2011. "Peer effects and the Freshman 15: Evidence from a natural experiment," Economics & Human Biology, Elsevier, vol. 9(2), pages 119-132, March.
    10. Lauber, Verena & Thomas, Lampert, 2014. "The Effect of Early Universal Daycare on Child Weight Problems," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100399, Verein für Socialpolitik / German Economic Association.
    11. Greve, Jane, 2008. "Obesity and labor market outcomes in Denmark," Economics & Human Biology, Elsevier, vol. 6(3), pages 350-362, December.
    12. Averett, Susan L. & Sikora, Asia & Argys, Laura M., 2008. "For better or worse: Relationship status and body mass index," Economics & Human Biology, Elsevier, vol. 6(3), pages 330-349, December.
    13. Brunello, Giorgio & D'Hombres, Beatrice, 2007. "Does body weight affect wages?: Evidence from Europe," Economics & Human Biology, Elsevier, vol. 5(1), pages 1-19, March.
    14. Brendan Kline & Justin L. Tobias, 2014. "Explaining Trends in Body Mass Index Using Demographic Counterfactuals," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 172-196, June.
    15. Caliendo, Marco & Gehrsitz, Markus, 2016. "Obesity and the labor market: A fresh look at the weight penalty," Economics & Human Biology, Elsevier, vol. 23(C), pages 209-225.
    16. Sarrias, Mauricio & Blanco, Alejandra, 2022. "Bodyweight and human capital development: Assessing the impact of obesity on socioemotional skills during childhood in Chile," Economics & Human Biology, Elsevier, vol. 47(C).
    17. Böckerman, Petri & Vainiomäki, Jari, 2013. "Stature and life-time labor market outcomes: Accounting for unobserved differences," Labour Economics, Elsevier, vol. 24(C), pages 86-96.
    18. Edel Doherty & Michelle Queally & Ciaran O’Neill, 2015. "An examination of the relationships between service use and alternative measures of obesity among community-dwelling adults in Ireland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(9), pages 951-956, December.
    19. repec:dau:papers:123456789/11535 is not listed on IDEAS
    20. Etile, Fabrice, 2014. "Education policies and health inequalities: Evidence from changes in the distribution of Body Mass Index in France, 1981–2003," Economics & Human Biology, Elsevier, vol. 13(C), pages 46-65.
    21. Coneus, Katja & Spieß, Christa Katharina, 2008. "The Intergenerational Transmission of Health in Early Childhood," ZEW Discussion Papers 08-073, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0035392. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.