【Objective】 To identify the clustering characteristics of metabolic syndrome (MS) and to explore the mechanisms of it in adolescents by factor analysis. 【Methods】 130 students were sampled from a senior high school in Harbin. The height, weight, waist circumference, blood pressure (BP), the body mass index (BMI) and the waist-to-height ratio (WHtR) were measured or calculated. The FPG, TC, TG, HDL-C, and LDL were detected by automatic biochemical analyzer. The hs-CRP was detected. Spearman correlation and factor analysis were used by SPSS17.0 program. 【Results】 Without the hs-CRP, principal component factor analysis revealed three factors: adiposity, lipid-metabolic, blood pressure and carbohydrate-metabolic that cumulatively explained 70.784% of the observed variance of metabolic syndrome; With the hs-CRP, it revealed three factors: adiposity lipid-metabolic, blood pressure and carbohydrate-metabolic (DBP, SBP, FPG) that cumulatively explained 68.427% of the observed variance of metabolic syndrome. 【Conclusions】 Adiposity plays a major role in the pathogenesis of MS in adolescents; WHtR is more suitable for evaluating central obesity of MS in adolescents than WC; hs-CRP may be involved in the pathogenesis of MS in adolescents.
Key words
metabolic syndrome /
factor analysis /
high sensitivity C reactive protein /
adolescents
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