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Table 1 Estimation of health’s multilevel model

From: Socio-economic development and emotion-health connection revisited: a multilevel modeling analysis using data from 162 counties in China

  Effects Estimate S.E. Est./S.E. 95 % CI P-value
Intercept of health intercept 3.952 0.041 96.680 [3.872, 4.032] 0.000
  GDPPC coefficient −0.117 0.065 −1.783 [−0.245, 0.012] 0.075
Slope of PE intercept 0.089 0.006 14.013 [0.077, 0.102] 0.000
  GDPPC coefficient 0.019 0.016 1.241 [−0.011,0.050] 0.215
  AMR coefficient 0.002 0.001 3.055 [0.001, 0.003] 0.002
  ES coefficient −0.004 0.002 −2.326 [−0.008, 0.001] 0.020
Slope of NE intercept −0.073 0.003 −26.988 [−0.078, 0.068] 0.000
  GDPPC 0.002 0.009 0.274 [−0.015, 0.019] 0.784
  AMR coefficient −0.001 0.001 −1.608 [−0.002, 0.000] 0.108
  ES coefficient 0.004 0.002 2.014 [0.000, 0.007] 0.044
Slope of gender intercept 0.145 0.013 10.951 [0.119, 0.171] 0.000
Slope of age intercept −0.014 0.001 −25.528 [−0.015,-0.013] 0.000
Slope of education intercept 0.006 0.002 3.894 [0.003, 0.009] 0.000
Slope of AMR (individual-level) intercept 0.001 0.001 2.612 [0.001,0.002] 0.009
Slope of income intercept 0.058 0.011 5.282 [0.036,0.079] 0.000
Slope of FIPER intercept 0.097 0.017 5.546 [0.062, 0.131] 0.000
Slope of family size intercept 0.017 0.004 4.652 [0.010, 0.025] 0.000
Slope of having job intercept 0.121 0.015 8.231 [0.092, 0.150] 0.000
Slope of Retried intercept 0.054 0.059 0.916 [−0.061, 0.169] 0.359
Slope of housework intercept 0.177 0.026 6.696 [0.125, 0.229] 0.000
Slope of Rich, at home intercept 0.201 0.069 2.897 [0.065, 0.337] 0.004
Slope of drink intercept −0.255 0.028 −9.281 [−0.309, 0.202] 0.000
Slope of Smoking intercept −0.173 0.024 −7.144 [−0.221, 0.126] 0.000
BMI ≥ 25 intercept −0.045 0.015 −2.972 [−0.075, 0.015] 0.003
BMI < 18 intercept −0.209 0.023 −9.126 [−0.254, 0.164] 0.000
Slope of married intercept −0.094 0.023 −4.017 [−0.140, 0.048] 0.000
Slope of widowed or divorced intercept 0.059 0.035 1.681 [−0.010, 0.127] 0.093
AMR at county-level intercept −0.233 0.430 −0.541 [−1.077, 0.611] 0.588
  GDPPC coefficient 5.367 0.976 5.499 [3.454, 7.280] 0.000
ES at county-level intercept 0.073 0.131 0.593 [−0.179, 0.335] 0.553
  GDPPC coefficient 3.577 0.298 12.017 [2.994, 4.160] 0.000
  1. AMR accessibility of medical resources, GDPPC GDP per capita, ES educational status, all non-dichotomous predictors were grand-mean-centered