title: Prevalence of metabolic syndrome and related factors in Taiwanese high-tech industry workers.
abstract: OBJECTIVE
  In light of the increasing number of high-tech industry workers and the differences in their working conditions compared to those of the general population, the health status of these workers merits serious attention. This study aimed to explore the prevalence of metabolic syndrome and its correlates among Taiwanese high-tech industry workers.
  
  
  METHODS
  This cross-sectional study included 4,666 workers who participated in labor health examinations at a hospital in southern Taiwan in 2008. Participants with metabolic syndrome were defined using the criteria proposed by the Taiwan National Department of Health in 2007. Factors associated with metabolic syndrome were determined using multiple logistic regression analysis.
  
  
  RESULTS
  The overall prevalence of metabolic syndrome was 8.2%, and the prevalence was higher in men than in women (14.0% vs. 2.3%, p<0.01). Male gender, advanced age, elevated white blood count, and elevated levels of blood biochemistry markers, such as alanine aminotransferase and uric acid, can independently predict metabolic syndrome.
  
  
  CONCLUSIONS
  The prevalence of metabolic syndrome among high-tech industry workers is lower than in the general population. Our study's findings may facilitate early health assessments and the provision of proper workplace health promotion programs to reduce the risks faced by high-risk workers.
authors.affiliation: Department of Research, Buddhist Dalin Tzu Chi General Hospital, Taiwan. dm732024@tzuchi.com.tw
authors.forename: Tzung-Yi
authors.initials: TY
authors.lastname: Tsai
authors.forename: Jung-Feng
authors.initials: JF
authors.lastname: Cheng
authors.forename: Yu-Min
authors.initials: YM
authors.lastname: Lai
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood; D004581:Electronics; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology* / Q000209:etiology; D009784:Occupational Diseases / Q000097:blood / Q000453:epidemiology* / Q000209:etiology; D012307:Risk Factors; D017678:Sex Distribution; D013624:Taiwan / Q000453:epidemiology
chemical_list: D015415:Biomarkers