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Prevalence and determinants of metabolic syndrome in Spanish salaried workers: evidence from 15 614 men and women.
Matilla-Santander, Nuria; Espinola, Marina; Cartanyà-Hueso, Àurea; Lidón-Moyano, Cristina; González-Marrón, Adrián; Martín-Sánchez, Juan Carlos; Cainzos-Achirica, Miguel; Martínez Sánchez, Jose M.
Afiliação
  • Matilla-Santander N; Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.
  • Espinola M; Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.
  • Cartanyà-Hueso À; Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.
  • Lidón-Moyano C; Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.
  • González-Marrón A; Health Sciences Research Institute, University of California Merced (UC Merced), Merced, CA, USA.
  • Martín-Sánchez JC; Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.
  • Cainzos-Achirica M; Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.
  • Martínez Sánchez JM; Group of Evaluation of Health Determinants and Health Policies, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.
J Public Health (Oxf) ; 42(1): 141-148, 2020 02 28.
Article em En | MEDLINE | ID: mdl-30715426
ABSTRACT

OBJECTIVE:

To describe the prevalence of Spanish workers with Metabolic Syndrome (MetS) and those at risk of developing MetS in 2015.

METHODS:

Cross-sectional study of workers (n = 15 614). We used a modified definition of the NCEPATPIII criteria for MetS (we used body mass index (BMI) above 28.8 kg/m2 instead of the waist circumference criterion). We calculated the prevalence of MetS (having at least three components) and of being at risk of MetS (having one or two components). We calculated adjusted odds ratios (aOR) of MetS according to socio-economic and workplace characteristics.

RESULTS:

The proportions of workers with and at risk of MetS were 7.1 and 31.9%, respectively. The most prevalent criterion was having a BMI > 28.8 kg/m2 (24.1%) in men and cHDL < 40 mg/dl in women (12.9%). There were significant associations between MetS and men (aOR compared to women = 3.73, CI 95% 3.19; 4.36); age (higher among oldest, aOR = 5.75, CI 95% 4.37;7.56); and social class (higher among lower social class, aOR = 2.03, CI 95% 1.65;2.48).

CONCLUSION:

Reducing any of the five MetS components, while taking into account the differences found by socio-economic and workplace characteristics, should be one priority for reducing MetS prevalence.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: J Public Health (Oxf) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: J Public Health (Oxf) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Espanha