title: Prevalence of metabolic syndrome and associated factors in women aged 35 to 65 years who were enrolled in a family health program in Brazil.
abstract: OBJECTIVE
  The aims of this study were to estimate the prevalence of metabolic syndrome among women aged 35 to 65 years and to identify associated factors.
  
  
  METHODS
  This was a cross-sectional study. We randomly selected 581 women (aged 35-65 y) from among those enrolled in a family health program in the city of Pindamonhangaba, Brazil. Metabolic syndrome was identified in accordance with the definition of the National Cholesterol Education Program Adult Treatment Panel III. Health conditions and lifestyle habits were evaluated by a survey, and anthropometric measurements were obtained. The prevalence of metabolic syndrome was estimated, and Poisson regression was used to evaluate the associations between metabolic syndrome `and the factors investigated.
  
  
  RESULTS
  The prevalence of metabolic syndrome was 42.2% (95% CI, 38.1-46.2). The most common metabolic syndrome component was abdominal obesity (60.6%), followed by low levels of high-density lipoprotein cholesterol (51.3%), high levels of triglycerides (41.4%), high blood pressure (31.7%), and diabetes (13.9%). The following factors were associated with metabolic syndrome: the 45- to 54-year age group (prevalence ratio, 1.54; 95% CI, 1.08-2.01), the 55- to 65-year age group (prevalence ratio, 3.51; 95% CI, 1.49-3.10), hyperuricemia (prevalence ratio, 2.95; 95% CI, 1.15-1.86), and sleep apnea risk (prevalence ratio, 2.41; 95% CI, 1.16-1.82). We found an inverse association between metabolic syndrome and having had more than 5 years of schooling (prevalence ratio, 0.65; 95% CI, 0.65-1.04).
  
  
  CONCLUSIONS
  The prevalence of metabolic syndrome is high, and the associated clinical factors are hyperuricemia and risk of sleep apnea.
authors.affiliation: Department of Physical Therapy, Speech Therapy, and Occupational Therapy, University of São Paulo School of Medicine, São Paulo, Brazil. carolinaschmitt@usp.br
authors.forename: Ana Carolina Basso
authors.initials: AC
authors.lastname: Schmitt
authors.forename: Maria Regina Alves
authors.initials: MR
authors.lastname: Cardoso
authors.forename: Heno
authors.initials: H
authors.lastname: Lopes
authors.forename: Wendry Maria Paixão
authors.initials: WM
authors.lastname: Pereira
authors.forename: Elaine Cristina
authors.initials: EC
authors.lastname: Pereira
authors.forename: Debora Aparecida Paccola
authors.initials: DA
authors.lastname: de Rezende
authors.forename: Rubia Guibo
authors.initials: RG
authors.lastname: Guarizi
authors.forename: Mayra Cecilia
authors.initials: MC
authors.lastname: Dellu
authors.forename: Jéssica de Moura
authors.initials: Jde M
authors.lastname: Oliveira
authors.forename: Erika
authors.initials: E
authors.lastname: Flauzino
authors.forename: Juan E
authors.initials: JE
authors.lastname: Blümel
authors.forename: José Mendes
authors.initials: JM
authors.lastname: Aldrighi
mesh_terms: D000328:Adult; D000368:Aged; D001938:Brazil / Q000453:epidemiology; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000453:epidemiology; D004522:Educational Status; D005192:Family Health; D005260:Female; D006801:Humans; D006973:Hypertension / Q000150:complications / Q000453:epidemiology; D033461:Hyperuricemia / Q000150:complications; D024821:Metabolic Syndrome / Q000150:complications / Q000175:diagnosis / Q000453:epidemiology*; D008875:Middle Aged; D056128:Obesity, Abdominal / Q000150:complications / Q000453:epidemiology; D011320:Primary Health Care; D012307:Risk Factors; D012891:Sleep Apnea Syndromes / Q000150:complications; D014280:Triglycerides / Q000097:blood
chemical_list: D008076:Cholesterol, HDL; D014280:Triglycerides