International Journal of Public Health

, Volume 57, Issue 3, pp 551–559 | Cite as

The impact of socioeconomic status on the incidence of metabolic syndrome in a Taiwanese health screening population

  • Xinghua Yang
  • Qiushan Tao
  • Feng Sun
  • Siyan Zhan
Original Article



The purpose of this study was to estimate the incidence of metabolic syndrome (MS) in a 5-year follow-up adult population in Taiwan who were examined at the Major Health Screening Center, and to assess possible socioeconomic determinants of the syndrome in this sample.


The longitudinal study included 9,389 adults, aged 35–74 years, who visited the Major Health Screening Center from 1998–2002, and were followed up for 5 years.


The 5-year cumulative incidence of MS in this sample was 11.37%, and the weighted incidence was 12.46%; 14.95% for men and 9.89% for women, respectively. After adjustment for behavioral and habits, family history, gender and age, education level was associated with the incidence of MS. With middle school and lower as a baseline, the incidence of MS for high school, junior college, and college and above was OR 0.80, 95% CI 0.64–1.00; OR 0.80, 95% CI 0.62–1.03 and OR 0.65, 95% CI 0.50–0.83, respectively.


The standardized cumulative incidence of MS was 12.46%. Lower education level was an important socioeconomic determinant of MS in women.


Socioeconomic status Metabolic syndrome Incidence Longitudinal study Taiwan checked-up population 



The study data was supplied by the MJ Health Screening Center. Authors would like to thank Professor Shicheng Yu (Chinese Center for Disease Control and Prevention) for advice on the article.

Conflict of interest

None of the authors has any conflict of interest.


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Copyright information

© Swiss School of Public Health 2012

Authors and Affiliations

  • Xinghua Yang
    • 1
    • 2
  • Qiushan Tao
    • 1
  • Feng Sun
    • 1
  • Siyan Zhan
    • 1
  1. 1.Department of Epidemiology and Biostatistics, School of Public HealthPeking University Health Science CenterBeijingChina
  2. 2.Department of Epidemiology and Health Statistics, School of Public Health and Family MedicineCapital Medical UniversityBeijingChina

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