Research Article

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

Table 3

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

VariablesModel IModel II
OR (95% CI)OR (95% CI)

Residency
Rural0.836 (0.716–0.975)0.0230.906 (0.826–0.995)0.039

Sex
Male1.260 (1.033–1.536)0.0231.106 (1.003–1.219)0.042

Ethnicity
Han1.628 (0.917–2.890)0.0961.294 (0.843–1.985)0.238

Education level
Middle school0.823 (0.712–0.952)0.0090.801 (0.729–0.880)<0.001
College or above0.560 (0.393–0.799)0.0010.574 (0.461–0.714)<0.001

Marital status
Single0.546 (0.322–0.924)0.0240.557 (0.409–0.758)<0.001
Married or cohabit0.709 (0.536–0.938)0.0160.811 (0.690–0.954)0.011

Occupation
Farmer1.090 (0.941–1.264)0.251

Age (year)
45–592.582 (2.141–3.113)<0.0012.777 (2.475–3.116)<0.001
≥606.158 (5.013–7.565)<0.0016.948 (6.107–7.905)<0.001

Family income (RMB)
5000–99991.000 (0.696–1.435)0.999
10000–199991.186 (0.863–1.630)0.292
≥200001.080 (0.815–1.431)0.591

Cigarette smoking
Daily smoking0.944 (0.759–1.175)0.606
Non-daily smoking1.269 (0.790–2.037)0.325
Ex-smoking0.973 (0.702–1.349)0.871

Alcohol drinking
Drinking in the past 12 months0.752 (0.587–0.963)0.3470.780 (0.678–0.896)0.833
Drinking in the past 1 month0.912 (0.752–1.105)0.0241.014 (0.889–1.158)<0.001

Central obesity
Yes1.384 (1.168–1.639)<0.0011.383 (1.239–1.544)<0.001

BMI groups
Underweight0.532 (0.322–0.876)0.0130.559 (0.414–0.753)<0.001
Overweight1.597 (1.348–1.892)<0.0011.663 (1.489–1.858)<0.001
Obesity2.805 (2.207–3.566)<0.0013.094 (2.653–3.609)<0.001

Daily salt intake (g)
>61.161 (1.007–1.338)0.0401.050 (0.961–1.148)0.282

Daily consumption of vegetables and fruits (g)
<4001.152 (1.005–1.322)0.0431.273 (1.167–1.389)<0.001

Daily red meat intake (g)
>1000.954 (0.664–1.371)0.800

Diabetes
Yes2.207 (1.754–2.777)<0.0011.818 (1.586–2.085)<0.001

Dyslipidemia
Yes1.227 (1.057–1.423)0.0071.247 (1.133–1.371)<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 family average annual income, smoking, and daily red meat intake, as their in model I.