The Study of Clustering Effects of Behavior Risk Factors in Patients with Metabolic Syndrome in Southern China: A Cross-Sectional Study

Table 4

The clustering effects of behavior risk factors in MetS assessed by multiple logistic regression analysis^a.

Variables						OR	95% CI	value
Smoking (0, never+light; 1, heavy+long-time history)	Alcohol (0, never+light; 1, heavy)	PA (0, ≥ moderate intensity; 1, low intensity)	Taste (0, other tastes; 1, salty taste)	Sleep (0, ≥6 h; 1, <6 h or >8 h)
1	1	0	0	0	0.897	2.452	1.016-5.917	0.046
1	0	1	0	0	-0.146	0.864	0.420-1.777	0.691
1	0	0	1	0	0.040	1.041	0.485-2.236	0.917
1	0	0	0	1	-0.094	0.910	0.382-2.167	0.831
0	1	1	0	0	-0.382	0.682	0.161-2.896	0.604
0	1	0	1	0	0.477	1.612	0.576-4.512	0.366
0	1	0	0	1	-0.551	0.577	0.137-2.396	0.449
0	0	1	1	0	0.533	1.704	0.905-3.209	0.099
0	0	1	0	1	0.744	2.104	1.096-4.041	0.025
0	0	0	1	1	0.851	2.342	1.150-4.768	0.019

PA: physical activity; MetS: metabolic syndrome; BRF: behavior risk factors; OR: odd ratios; CI: confidence intervals. Unhealthy behaviors include 5 items of smoking, alcohol abuse, lack PA, like salty taste, and abnormal sleep duration. There were 3 missing data. ^aAdjusted for age, gender, education, place of residence, and family history. Used multiple regression model.