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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
  1. 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 (100Qk /C); (2) *p < 0.05, **p < 0.01, ***p < 0.001
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