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Occupation-related differences in the prevalence of metabolic syndrome

  1. Miguel Angel Sánchez-Chaparro, M.D. (miguelangelsanchez{at}ibermutuamur.es)a,b,
  2. Eva Calvo-Bonacho, M.D.a,
  3. Arturo González-Quintela, M.D.c,
  4. Carlos Fernández-Labandera, M.D.a,
  5. Martha Cabrera, M.D.a,
  6. Juan Carlos Sáinz, M.D.a,
  7. Ana Fernández-Meseguer, M.D.a,
  8. José R. Banegas, M.D.d,
  9. Luis Miguel Ruilope, M.D.e,
  10. Pedro Valdivielso, M.D.b and
  11. Javier Román-García, M.D. on behalf of the ICARIA (Ibermutuamur CArdiovascular RIsk Assesment) Study Groupa
  1. aIbermutuamur (Mutua de Accidentes de Trabajo y Enfermedades Profesionales de la Seguridad Social 274), Spain
  2. bDepartment of Internal Medicine Hospital Virgen de la Victoria, University of Malaga, Spain
  3. cDepartment of Internal Medicine, University of Santiago de Compostela, Spain
  4. dDepartment of Preventive Medicine and Public Heath, Autonomous University of Madrid, Spain
  5. eHypertension Unit, Hospital 12 de Octubre, Madrid, Spain

    Abstract

    Objective: To investigate the prevalence of metabolic syndrome in the Spanish working population, and determine how the prevalence varies according to occupation and gender.

    Research design and methods: Cross-sectional study of 259,014 workers (mean age 36.4 years; range, 16-74 years; 72.9% males) who underwent a routine medical checkup. The ATPIII (2001) definition for metabolic syndrome was used.

    Results: The prevalence of metabolic syndrome was 11.6% (95% CI 11.5-11.7) in males and 4.1% (95% CI 4.0-4.2) in females and increased with age. The prevalence of metabolic syndrome varied in the different categories of occupational activity depending on the gender considered. Among females, the age-adjusted prevalence of metabolic syndrome was higher in blue-collar than in white-collar workers, but this difference was not evident among male workers.

    Conclusions: The prevalence of metabolic syndrome varies in the different categories of occupational activity in the Spanish working population. This variation also depends on gender.

    Footnotes

      • Received February 29, 2008.
      • Accepted June 13, 2008.
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