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CN 34-1304/RISSN 1674-3679

SUN Huan-zhen, JIN Lai-run, ZUO Xiang, YUAN Hui, DING Lei, SHI Wei. Study on the prevalence of metabolic syndrome and its influencing factors in a community medical check-up crowd[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(5): 465-468. doi: 10.16462/j.cnki.zhjbkz.2017.05.009
Citation: SUN Huan-zhen, JIN Lai-run, ZUO Xiang, YUAN Hui, DING Lei, SHI Wei. Study on the prevalence of metabolic syndrome and its influencing factors in a community medical check-up crowd[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(5): 465-468. doi: 10.16462/j.cnki.zhjbkz.2017.05.009

Study on the prevalence of metabolic syndrome and its influencing factors in a community medical check-up crowd

doi: 10.16462/j.cnki.zhjbkz.2017.05.009
  • Received Date: 2016-12-28
  • Rev Recd Date: 2017-02-06
  • Objective To understand the prevalence of metabolic syndrome (MS) and its influencing factors in a community medical check-up crowd for providing scientific basis for MS prevention and control. Methods Residents aged 18 and older who took medical check-up in a community were selected by cluster sampling. Data on MS and its influencing factors were obtained by questionnaires, physical examination and laboratory tests. Non-conditional Logistic regression model was used to analyze the influencing factors of MS. Results A total of 610 participants were eligible for the study, including 334 males (54.8%) and 276 females (45.2%). The crude prevalence of MS was 13.4% (82/610) and there was no significant difference between male (15.6%) and female (10.9%)(χ2=2.868,P=0.090). The prevalence of MS participants with older age, lower education level, family history of hypertension or diabetes, less exercise or excessive salt intake was significantly higher than control group. The measurements of physical examination and laboratory tests such as body mass index (BMI), waist circumstance (WC), etc. in MS patients were higher than control group (all P<0.05), while high density lipoprotein cholesterol (HDL-C) level was lower than control group. Multivariate analysis showed that older age, family history of diabetes, higher BMI, longer WC,hypertension, higher triglyceride and lower HDL-C were risk factors for MS. Conclusions Given the large proportion of MS in community adult residents, targeted prevention and control measures for the risk factors should be taken as early as possible.
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