Prevalence and components analysis of metabolic syndrome among teaching staffs in a traditional Chinese medicine college
10.11763/j.issn.2095-2619.2018.03.014
- Author:
Zhigang ZHANG
1
;
Na SUN
1
;
Yanjin SU
;
Qiang ZHANG
;
Juanjuan MENG
1
;
Xiaoli WANG
Author Information
1. Shaanxi University of Chinese Medicine Xianyang,Shaanxi 712046,China
- Publication Type:Journal Article
- Keywords:
Traditional Chinese medicine college;
Teaching staff;
Metabolic syndrome;
Hyperglycemia;
Hypertension;
Triglyceride;
High-density lipoprotein cholesterol
- From:
China Occupational Medicine
2018;45(03):338-341
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE: To study the prevalence of metabolic syndrome( MS),and disease components among teaching staffs in a traditional Chinese medicine college.METHODS: A total of 993 teaching staffs of a traditional Chinese medicine college who participated physical health examination were selected as study subjects by convenience sampling method.The detection of MS,characteristics of MS related diseases and aggregation were analyzed.RESULTS: The incidence of MS was 19.2%( 191/993).It showed a linear upward trend with the increase of age( P < 0.01).The incidence of MS in male members was obviously higher than that in female members( 28.1% vs 9.5%,P < 0.01).The risk indexes of MS in staffs,including overweight and/or obesity, hyperglycemia, hypertension, triglyceride( TG) abnormality and high-density lipoprotein cholesterol( HDL-C) abnormality were 3.44,13.61,9.94,14.72 and 12.06 times of those with normal indexes respectively.The abnormal ratio of hyperglycemia,hypertension and TG was the highest( 13.7%) in different types of MS,and the incidence of MS on staffs was the highest( odds ratio 5.86).CONCLUSION: The detection rate of MS showed an upward trend with the increase of age among teaching staffs in this traditional Chinese medicine college,and there is a gender difference.TG and HDL-C abnormality,hypertension and hyperglycemia are the key points of prevention and treatment of MS in this population.
