RT Journal Article
SR Electronic
T1 Prevalence and distribution of metabolic syndrome in a southern Chinese population. Relation to exercise, smoking, and educational level
JF Saudi Medical Journal
JO Saudi Med J
FD Prince Sultan Military Medical City
SP 929
OP 936
VO 34
IS 9
A1 Li, Yong-Qiang
A1 Zhao, Li-Qin
A1 Liu, Xin-Yu
A1 Wang, Hong-Lei
A1 Wang, Xiao-Hong
A1 Li, Bin
A1 Deng, Kang-Ping
A1 Zhang, Ying
A1 Liu, Qin
A1 Holthofer, Harry
A1 Zou, He-Qun
YR 2013
UL http://smj.org.sa/content/34/9/929.abstract
AB OBJECTIVE: To investigate the prevalence and distribution of metabolic syndrome (MetS) and the impact of exercise, smoking, and educational level on the risk of MetS in a southern Chinese population.METHODS: A cross-sectional study was conducted in Zhuhai City, China from June to August 2012. Data on exercise, smoking, and educational level, anthropometric parameters, blood pressure, lipid, and glucose levels were collected. The prevalence of MetS (as defined by the International Diabetes Federation) was determined. Data necessary to evaluate MetS, the socio-economic characteristics, and lifestyle were obtained for 4645 subjects aged 18-75 years old.RESULTS: A total of 19.8% of the participants had MetS. The adjusted odds of having MetS were lower among males (adjusted odds: 0.75; 95% confidence interval [CI]: 0.57-1.01) compared with females. Those participants who currently smoked had a higher risk of developing MetS compared with non-smokers (adjusted odds: 1.61; 95% CI: 1.13-2.50). Those who had no physical exercise had a higher risk of developing MetS compared with those who physically exercised more than 60 minutes/day (adjusted odds: 1.51; 95% CI: 1.12-2.23;). Compared with those with no education, every category of attained educational level had a lower risk of developing MetS (p<0.001).CONCLUSION: The findings in this study revealed that current smokers had a greater risk of developing MetS compared with non-smokers. Increased physical activity and higher levels of education attained served as protective factors for the population.