title: Can we early diagnose metabolic syndrome using brachial-ankle pulse wave velocity in community population?
abstract: BACKGROUND
  The prevalence of metabolic syndrome (MetS) increased recently and there was still not a screening index to predict MetS. The aim of this study was to estimate whether brachial-ankle pulse wave velocity (baPWV), a novel marker for systemic arterial stiffness, could predict MetS in Chinese community population.
  
  
  METHODS
  A total of 2 191 participants were recruited and underwent medical examination including 1 455 men and 756 women from June 2011 to January 2012. MetS was diagnosed according to the criteria of the International Diabetes Federation (IDF). Multiple Logistic regressions were conducted to explore the risk factors of MetS. Receiver operating characteristic (ROC) curve was performed to estimate the ideal diagnostic cutoff point of baPWV to predict MetS.
  
  
  RESULTS
  The mean age was (45.35±8.27) years old. In multiple Logistic regression analysis, the gender, baPWV and smoking status were risk factors to MetS after adjusting age, gender, baPWV, walk time and sleeping time. The prevalence of MetS was 17.48% in 30-year age population in Shanghai. There were significant differences (χ(2) = 96.46, P < 0.05) between male and female participants on MetS prevalence. According to the ROC analyses, the ideal cutoff point of baPWV was 1 358.50 cm/s (AUC = 60.20%) to predict MetS among male group and 1 350.00 cm/s (AUC = 70.90%) among female group.
  
  
  CONCLUSIONS
  BaPWV may be considered as a screening marker to predict MetS in community Chinese population and the diagnostic value of 1 350.00 cm/s was more significant for the female group.
authors.affiliation: Department of Cardiology, Shanghai East Hospital, Tongji University, Shanghai 200120, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Li
authors.affiliation: Tongji University Medical School, Shanghai 200092, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Zheng
authors.affiliation: Department of Cardiology, Shanghai Tenth Hospital, Tongji University, Shanghai 200072, China.
authors.forename: Juanli
authors.initials: J
authors.lastname: Wu
authors.affiliation: University of Massachusetts Medical School, Massachusetts, USA.
authors.forename: Yunsheng
authors.initials: Y
authors.lastname: Ma
authors.affiliation: Preventive Medical Center, Tohoku Rosai Hospital, Sendai, Japan.
authors.forename: Munakata
authors.initials: M
authors.lastname: Masanori
authors.affiliation: University of Massachusetts Medical School, Massachusetts, USA.
authors.forename: Jessica
authors.initials: J
authors.lastname: Oleski
authors.affiliation: Tongji University Medical School, Shanghai 200092, China.
authors.forename: Lijuan
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Tongji University Medical School, Shanghai 200092, China.
authors.forename: Da
authors.initials: D
authors.lastname: Wo
authors.affiliation: University of Massachusetts Medical School, Massachusetts, USA.
authors.forename: Jingsong
authors.initials: J
authors.lastname: Wang
authors.affiliation: Tongji University Medical School, Shanghai 200092, China.
authors.forename: Qiaoyu
authors.initials: Q
authors.lastname: Jiang
authors.affiliation: Tongji University Medical School, Shanghai 200092, China.
authors.forename: Liling
authors.initials: L
authors.lastname: Zou
authors.affiliation: Department of Cardiology, Shanghai East Hospital, Tongji University, Shanghai 200120, China. Email: lxb70@hotmail.com.
authors.forename: Xuebo
authors.initials: X
authors.lastname: Liu
authors.affiliation: Tongji University Medical School, Shanghai 200092, China. Email: jueli963258@126.com.
authors.forename: Jue
authors.initials: J
authors.lastname: Li
mesh_terms: D000328:Adult; D055109:Ankle Brachial Index / Q000379:methods*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis*; D008875:Middle Aged; D012372:ROC Curve