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

Table 4

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

Variables	Model I		Model II
	OR (95% CI)		OR (95% CI)
Residency
Rural	0.743 (0.589–0.938)	0.012	0.706 (0.621–0.803)	＜0.001
Sex
Male	1.256 (0.939–1.679)	0.124	1.351 (1.148–1.588)	＜0.001
Ethnicity
Han	0.927 (0.457–1.881)	0.833
Education level
Middle school	1.006 (0.804–1.260)	0.955
College or above	1.355 (0.817–2.248)	0.239
Marital status
Single	0.488 (0.180–1.325)	0.159	0.685 (0.430–1.090)	0.110
Married or cohabit	0.893 (0.617–1.293)	0.549	0.950 (0.770–1.171)	0.628
Occupation
Farmer	0.740 (0.591–0.926)	0.009	0.783 (0.689–0.891)	＜0.001
Age (year)
45–59	2.723 (1.886–3.931)	＜0.001	2.357 (1.952–2.847)	＜0.001
≥60	4.075 (2.794–5.942)	＜0.001	3.521 (2.894–4.285)	＜0.001
Family income (RMB)
5000–9999	1.310 (0.766–2.242)	0.324
10000–19999	1.099 (0.676–1.786)	0.703
≥20000	1.107 (0.719–1.704)	0.644
Cigarette smoking
Daily smoking	1.104 (0.720–1.694)	0.083	1.217 (0.946–1.566)	＜0.001
Non-daily smoking	0.940 (0.467–1.890)	0.862	0.895 (0.594–1.347)	0.594
Ex-smoking	0.749 (0.540–1.039)	0.649	0.715 (0.592–0.864)	0.126
Alcohol drinking
Drinking in the past 12 months	0.938 (0.699–1.260)	0.672
Drinking in the past 1 month	1.013 (0.700–1.464)	0.947
Central obesity
Yes	1.627 (1.226–2.159)	0.001	1.456 (1.234–1.717)	＜0.001
BMI groups underweight	0.919 (0.360–2.350)	0.860	1.151 (0.736–1.800)	0.538
Overweight	1.153 (0.884–1.504)	0.293	1.206 (1.028–1.415)	0.022
Obesity	1.411 (1.016–1.958)	0.040	1.565 (1.284–1.907)	＜0.001
Daily salt intake (g)
>6	0.924 (0.744–1.147)	0.475
Daily consumption of vegetable and fruit (g)
<400	0.968 (0.786–1.193)	0.763
Daily red meat intake (g)
>100	1.262 (0.744–2.138)	0.388
Hypertension
Yes	2.206 (1.753–2.777)	＜0.001	1.761 (1.546–2.006)	＜0.001
Dyslipidemia
Yes	2.010 (1.630–2.478)	＜0.001	1.934 (1.708–2.189)	＜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 ethnicity, education level, family income, drinking, salt intake, daily red meat intake, and red meat intake, as their in model I.