Socioeconomic inequalities in the prevalence of chronic diseases and preventive care among adults aged 45 and older in Shaanxi Province, China

Lai, Sha; Shen, Chi; Yang, Xiaowei; Zhang, Xiaolong; Xu, Yongjian; Li, Qian; Gao, Jianmin; Zhou, Zhongliang

doi:10.1186/s12889-019-7835-5

Table 3 Decomposition of concentration index of chronic diseases and preventive care

From: Socioeconomic inequalities in the prevalence of chronic diseases and preventive care among adults aged 45 and older in Shaanxi Province, China

	Hypertension and preventive care									Diabetes and preventive care
	Presence of hypertension			Adequate medication			Measure blood-pressure			Presence of diabetes			Adequate medication			Test blood-glucose
	dy/dx	Con.	% con.	dy/dx	Con.	% con.	dy/dx	Con.	% con.	dy/dx	Con.	% con.	dy/dx	Con.	% con.	dy/dx	Con.	% con.
Age (Ref: 45–64 years)
65–79	0.137***	−0.012	−21.321	0.077***	− 0.002	−2.787	0.025***	< 0.001	− 2.264	0.018***	− 0.008	−3.161	0.007	< 0.001	− 0.056	0.021	< 0.001	− 0.254
80 or above	0.129***	−0.002	−3.539	0.055*	< 0.001	−0.469	−0.011	< 0.001	0.233	< 0.001	< 0.001	−0.005	0.091	< 0.001	0.311	−0.072	< 0.001	−0.379
Gender (Ref: Female)
Male	−0.043***	0.001	1.023	−0.051***	−0.001	−1.587	− 0.006	< 0.001	− 0.473	−0.001	< 0.001	0.026	0.017	0.001	0.987	0.007	< 0.001	0.644
Economic status (Ref: Poorest)
Poorer	0.039***	−0.015	−27.020	0.052**	−0.007	−10.499	0.012	−0.001	−6.139	0.020***	−0.042	−15.964	0.050	−0.006	−8.413	0.022	−0.002	−5.823
Middle	0.046***	< 0.001	0.154	0.052**	< 0.001	0.014	0.005	< 0.001	0.003	0.026***	< 0.001	0.101	0.132***	< 0.001	< 0.001	0.059**	< 0.001	< 0.001
Richer	0.046***	0.018	32.382	0.083***	0.011	16.805	0.039***	0.003	19.252	0.028***	0.060	22.873	0.118***	0.013	19.872	0.082***	0.008	21.208
Richest	0.071***	0.054	97.799	0.132***	0.036	53.332	0.057***	0.010	56.894	0.052***	0.217	82.167	0.134***	0.030	45.182	0.088***	0.016	45.756
Educational level (Ref: Primary or below)
Middle school	−0.034***	−0.004	−6.498	0.038**	0.001	2.173	0.006	< 0.001	0.894	0.001	< 0.001	0.158	0.046	0.001	0.973	0.005	< 0.001	0.172
High school	−0.021**	− 0.004	−6.548	0.056**	0.004	5.527	−0.004	< 0.001	−1.013	0.003	0.003	1.004	0.019	0.001	1.905	0.033	0.002	5.051
College or above	0.007	0.001	1.146	0.090**	0.003	4.455	0.056***	0.001	6.760	0.007	0.003	1.201	0.028	0.001	2.158	0.056	0.002	6.733
Employment status (Ref: Unemployed)
Employed	−0.079***	0.007	11.745	−0.096***	0.005	7.342	−0.003	< 0.001	0.648	−0.033***	0.015	5.559	−0.109***	0.005	7.025	−0.104***	0.004	10.311
Marital status (Ref: Single)
Married	−0.005	< 0.001	−0.766	0.072***	0.002	3.527	< 0.001	< 0.001	−0.016	0.005	0.002	0.853	0.085**	0.002	2.332	0.027	< 0.001	1.132
Basic medical insurance (Ref: No)
Yse	0.007	< 0.001	−0.126	−0.082	0.001	0.819	0.031	< 0.001	−0.774	−0.003	< 0.001	0.052	0.033	< 0.001	−0.226	0.050	< 0.001	−0.525
Commercial insurance (Ref: No)
Yes	0.033***	0.001	2.238	−0.060*	−0.001	− 0.913	0.014	< 0.001	0.521	−0.004	− 0.001	− 0.342	−0.071	< 0.001	< 0.001	0.016	< 0.001	< 0.001
Urban and rural (Ref: Rural)
Urban	0.004	0.001	2.282	0.096***	0.014	20.265	0.012	0.001	6.311	0.016***	0.030	11.477	0.099***	0.013	19.794	−0.017	−0.002	−5.296

Note: (1) dy/dx: Partial effect in Probit regression model; Con.: The absolute contribution of each determinant (\( {Q}_k={\beta}_k\frac{{\overline{x}}_k}{\mu }{C}_k \)); % con.:The percentage contribution of each determinant to the total concentration index (100Q_k /C); (2) *p < 0.05, **p < 0.01, ***p < 0.001

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