Table 4.

Odds ratios for logistic regression of self-assessed health with socioeconomic status variables

Variables	Year 2010				Year 2014
	OR	95% CI		P	OR	95% CI		P
Income (ref. the poorest)
Lower 20%	0.847	0.753	0.953	0.006	0.953	0.838	1.083	0.459
Medium 20%	0.734	0.649	0.830	< 0.001	0.838	0.731	0.961	0.012
Higher 20%	0.630	0.554	0.716	< 0.001	0.799	0.697	0.916	0.001
The richest	0.555	0.484	0.636	< 0.001	0.598	0.513	0.696	< 0.001
Age (ref. 15–30)
30–40	2.982	2.377	3.742	< 0.001	3.538	2.624	4.771	< 0.001
40–50	5.791	4.667	7.185	< 0.001	6.485	4.959	8.480	< 0.001
50–60	7.883	6.358	9.774	< 0.001	10.782	8.283	14.033	< 0.001
> 60	10.116	8.195	12.487	< 0.001	11.968	9.320	15.368	< 0.001
Gender (ref. female)
Male	0.813	0.746	0.886	< 0.001	0.821	0.746	0.904	< 0.001
Marital status (ref. single)
Married	0.936	0.825	1.062	0.307	0.985	0.857	1.131	0.826
Occupation (ref. unemployment)
Agricultural	0.805	0.729	0.889	< 0.001	0.655	0.580	0.740	< 0.001
Self-employed	0.517	0.413	0.648	< 0.001	0.509	0.416	0.622	< 0.001
employees	0.558	0.477	0.654	< 0.001	0.544	0.464	0.637	< 0.001
Education (ref. illiteracy)
up to junior high school	0.671	0.609	0.739	< 0.001	0.568	0.511	0.632	< 0.001
up to vocational school	0.577	0.496	0.672	< 0.001	0.423	0.355	0.504	< 0.001
bachelor degree or above	0.543	0.341	0.865	0.010	0.342	0.202	0.578	< 0.001
Residence (ref. rural)
urban	0.820	0.749	0.899	< 0.001	0.839	0.759	0.927	< 0.01
Region (ref. west)
Central	1.010	0.903	1.129	0.868	0.892	0.789	1.008	0.068
East	0.961	0.865	1.067	0.455	0.931	0.831	1.043	0.217
Constant	0.098	0.079	0.122	< 0.001	0.090	0.070	0.116	< 0.01
	R2 = 0.136				R2 = 0.154

Note: weighted proportions accounting for sampling design were used. Models in both years controlled for age, gender, marital status, occupation, education, residence and region