Table 4.

Multivariate logistic regression analysis.

Variables	Items	Control group	β	SE	OR	95% CI
Gender	Female	Male	0.217	0.138	1.242	0.948–1.628
Living place	Main urban	District	0.246	0.162	1.279	0.931–1.757
Education level	Primary school	Illiterate	0.285	0.281	1.33	0.766–2.307
	Junior high school		0.355	0.291	1.427	0.807–2.522
	High school		1.164**	0.336	3.203	1.657–6.194
	Above high school		1.280**	0.38	3.595	1.707–7.571
Monthly income (yuan)	<2,999	<999	0.754*	0.241	2.126	1.326–3.407
	3,000–4,999		0.522*	0.267	1.685	1.998–2.844
	>5,000		0.338	0.372	1.403	0.676–2.909
Type of medical insurance	Medical insurance for urban residents	New rural cooperative medical insurance	0.784*	0.249	2.191	1.346–3.566
	Medical insurance for urban workers		0.768*	0.254	2.156	1.312–3.543
	Otherb		1.205*	0.383	3.336	1.573–7.072
Self-health assessment	Poor	Very poor	−1.235	0.793	0.291	0.061–1.376
	Fair		−1.387**	0.775	0.25	1.055–1.141
	Good		−1.191	0.777	0.304	0.066–1.394
	Very good		−0.708	0.788	0.492	0.105–2.307
Hypertension	Yes	No	0.497**	0.154	1.643	1.216–2.221
Diabetes	Yes	No	−0.370*	0.168	0.691	0.497–0.96
Dyslipidemia	Yes	No	0.567*	0.181	0.567	0.397–0.809
Disability	Yes	No	0.922*	0.414	2.515	1.118–5.658

^aUnmarried includes single, divorced, and widowed.

^bOther includes people with commercial health insurance or without any insurance.

SE, standard error; OR, odds ratio; CI, confidence interval.

^*P < 0.05;

^**P < 0.01.