RUAN Ye , YANG Qun-di , LI Yan-yun , SHI Liang , LI Rui . Optimum Cut-Off Points of Waist Circumference for Identifying Metabolic Syndrome in ShanghaiAdults of 35-74 Years of Age[J]. Journal of Environmental and Occupational Medicine, 2014, 31(2): 93-97. DOI: 10.13213/j.cnki.jeom.2014.0026
Citation: RUAN Ye , YANG Qun-di , LI Yan-yun , SHI Liang , LI Rui . Optimum Cut-Off Points of Waist Circumference for Identifying Metabolic Syndrome in ShanghaiAdults of 35-74 Years of Age[J]. Journal of Environmental and Occupational Medicine, 2014, 31(2): 93-97. DOI: 10.13213/j.cnki.jeom.2014.0026

Optimum Cut-Off Points of Waist Circumference for Identifying Metabolic Syndrome in ShanghaiAdults of 35-74 Years of Age

  • Objective To determine the optimum cut-off points of waist circumference (WC) for assessing obesityassociated metabolic syndrome in Shanghai adults of 35-74 years old.

    Methods A cross-sectional study was conducted inShanghai with a representative sample of 7 414 Chinese adults aged 35-74 years using multistage random sampling technique.TheWC levels associated with at least 2 risk factors of metabolic syndrome with proper susceptibility and specificity were identified inthe two gender groups.

    Results With waist circumference increasing,the odd ratios (OR) of clustering of risk factors increasedsignificantly,the specificity and positive predictive values of association with ≥ 2 risk factors also elevated,but related sensitivityand negative predictive values were lowered.When the WC levels were ≥ 85 cm for male and ≥ 80 cm for female,the sensitivityvalues of association with ≥ 2 risk factors were 68.33%(male) and 70.17%(female),while the specificity values were 58.48%(male) and 58.36%(female) respectively.These points showing the shortest distances (0.522 1 for male and 0.512 2 for female) in thereceiver operating characteristic curves were elected as the cut-off points for the two gender groups in the studied population.

    Conclusion WC ≥ 85cm for male and ≥ 80cm for female can well reflect the margin of metabolic syndrome associated risk factorscluster,and serve as the optimum cut-off points for identifying obesity-associated metabolic syndrome in the studied residents.

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