Prevalence and Risk Factors of Hypertension, Diabetes, and Dyslipidemia among Adults in Northwest China

Table 5

Logistic regression analysis on risk factors of dyslipidemia among adults from northwest China.

Variables	Model I		Model II
	OR (95% CI)		OR (95% CI)
Residency
Rural	0.927 (0.792–1.085)	0.343
Sex
Male	1.245 (1.018–1.522)	0.033	1.401 (1.245–1.576)	＜0.001
Ethnicity
Han	0.621 (0.365–1.057)	0.079	1.031 (0.709–1.500)	0.872
Education level
Middle school	1.166 (1.004–1.354)	0.044	1.174 (1.072–1.286)	0.001
College or above	1.096 (0.790–1.522)	0.583	1.377 (1.155–1.642)	＜0.001
Marital status
Single	1.078 (0.658–1.766)	0.766
Married or cohabit	1.047 (0.786–1.395)	0.753
Occupation
Farmer	1.022 (0.878–1.189)	0.777
Age (year)
45–59	0.814 (0.677–0.977)	0.027	0.910 (0.820–1.009)	0.075
≥60	0.799 (0.650–0.983)	0.034	0.917 (0.813–1.036)	0.164
Family income (RMB)
5000–9999	0.874 (0.596–1.283)	0.493
10000–19999	1.061 (0.762–1.478)	0.726
≥20000	1.065 (0.793–1.430)	0.677
Cigarette smoking
Daily smoking	1.309 (1.048–1.635)	0.018	1.287 (1.130–1.467)	＜0.001
Non-daily smoking	0.873 (0.533–1.430)	0.590	0.907 (0.680–1.209)	0.505
Ex-smoking	1.169 (0.842–1.624)	0.350	0.988 (0.805–1.212)	0.906
Alcohol drinking
Drinking in the past 12 months	0.855 (0.665–1.099)	0.007	1.034 (0.910–1.175)	0.041
Drinking in the past 1 month	0.764 (0.628–0.929)	0.222	0.874 (0.769–0.994)	0.611
Central obesity
Yes	1.683 (1.410–2.010)	＜0.001	1.952 (1.754–2.172)	＜0.001
BMI groups underweight	0.347 (0.159–0.760)	0.008	0.565 (0.403–0.793)	0.001
Overweight	1.778 (1.497–2.113)	＜0.001	1.579 (1.420–1.755)	＜0.001
Obesity	2.940 (2.339–3.696)	＜0.001	2.285 (1.986–2.628)	＜0.001
Daily salt intake (g)
>6	1.018 (0.880–1.177)	0.812
Daily consumption of vegetable and fruit (g)
<400	1.054 (0.917–1.213)	0.459
Daily red meat intake (g)
>100	0.698 (0.482–1.011)	0.057	1.097 (0.935–1.287)	0.257
Hypertension
Yes	1.210 (1.042–1.404)	0.012	1.242 (1.134–1.360)	＜0.001
Diabetes
Yes	1.997 (1.619–2.462)	＜0.001	1.924 (1.699–2.179)	＜0.001

Note. In model I, hypertension is taken as dependent variable; residency, age, sex, ethnicity, education level, marital status, occupation, family income, smoking, drinking, central obesity, BMI groups, salt intake, vegetable and fruit consumption, red meat intake, diabetes, and dyslipidemia are taken as independent variables. In model II, we further excluded residency, marital status, occupation, family income, salt intake, daily red meat intake, and red meat intake, as their in model I.