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Wei Sheng Yan Jiu. 2019 Jan;48(1):61-75.

[Prevalence and epidemic characteristics of metabolic syndrome among adult residents in Nanjing City in 2010-2013].

[Article in Chinese]

Author information

1
Key Laboratory of Environmental Medicine of Ministry of Education, School of Public Health, Southeast University/Department of Nutrition and Food Hygiene, Nanjing 210009, China.
2
Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210009, China.

Abstract

OBJECTIVE:

To understand the prevalence and epidemic characteristics of metabolic syndrome(MS) among adult residents in Nanjing City.

METHODS:

In 2010-2013, a total of 4918 adult residents in Nanjing City were surveyed using a multi-stage stratification and population proportional clustering random sampling method. Questionnaires, physical examinations and laboratory examinations were conducted to collect the basic conditions, health history of the subjects and related indicators including height, weight, waist circumference, blood pressure, fasting blood glucose, total cholesterol, triglycerides, high-density lipoprotein cholesterol, etc. The 2009 International Joint Interim Statement(JIS) was used to filter patients with metabolic syndrome.

RESULTS:

Among the 4918 surveyed subjects, 1627 were MS, with a crude prevalence rate of 33. 1% and an age-standardized prevalence rate of 26. 3%, the standardized prevalence rate of MS was 29. 0% in males and 24. 8% in females. Age-standardized prevalence rates between different genders had no significant statistical difference(χ~2=1. 352, P=0. 245). There were significant statistical differences between the crude prevalence rate of MS among subjects of different ages(χ~2=132. 557, P<0. 001), occupations(χ~2=87. 572, P<0. 001)and educational level(χ~2=26. 077, P<0. 001). Patients with a family history of hypertension(χ~2=26. 582, P<0. 001) and a family history of diabetes(χ~2=16. 013, P<0. 001)had a higher prevalence of MS.

CONCLUSION:

The prevalence of metabolic syndrome in adult residents in Nanjing City in 2010-2013 was relatively high.

KEYWORDS:

epidemic characteristics; metabolic syndrome; prevalence

PMID:
31032769

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