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Table 2 Association of air pollution intensity and depressive symptoms and the role of chronic disease (N = 23,268)

From: Does chronic disease influence susceptibility to the effects of air pollution on depressive symptoms in China?

Variables Influence of SO2 emission intensity on depressive symptoms Influence of TSP emission intensity on depressive symptoms
Model 1 Model 2 Model 3 Model 4
Coef. Std. Err. Coef. Std. Err. Coef. Std. Err. Coef. Std. Err.
Log of SO2 intensity 1.266*** 0.107 1.093*** 0.116
Log of TSP intensity 1.318*** 0.082 1.115*** 0.092
Chronic disease 1.384*** 0.068 1.388*** 0.068
Log of SO2 intensity × Chronic disease 0.217*** 0.084
Log of TSP intensity × Chronic disease 0.281*** 0.071
Log of average monthly temperature 0.189** 0.085 0.176** 0.085 0.201** 0.087 0.191** 0.087
Log of average monthly relative humidity − 0.690** 0.333 − 0.693** 0.332 − 0.445 0.335 − 0.451 0.333
Age group
 50–59 0.248*** 0.090 0.134 0.089 0.263*** 0.090 0.148* 0.089
 60–69 0.148 0.105 − 0.057 0.104 0.174* 0.104 − 0.031 0.103
 More than 70 − 0.396*** 0.131 − 0.606*** 0.130 − 0.368*** 0.131 − 0.578*** 0.130
 Male 1.270*** 0.091 1.269*** 0.090 1.282*** 0.091 1.283*** 0.090
 Unmarried 0.680*** 0.121 0.701*** 0.119 0.682*** 0.121 0.701*** 0.119
 Living in urban area − 0.400*** 0.104 − 0.398*** 0.103 − 0.395*** 0.104 − 0.387*** 0.103
Education
 No education but can read/write 0.414*** 0.118 0.373*** 0.116 0.416*** 0.118 0.376*** 0.116
 Primary school − 0.043 0.112 − 0.081 0.110 − 0.039 0.112 − 0.077 0.110
 Junior high school and above − 0.470*** 0.114 − 0.454*** 0.112 − 0.461*** 0.114 − 0.448*** 0.112
Employment status
 Self− employed − 0.165* 0.089 − 0.109 0.088 − 0.152* 0.088 − 0.096 0.088
 Wage earner − 0.351*** 0.090 − 0.262*** 0.089 − 0.354*** 0.090 − 0.265*** 0.089
Insurance
 NCMS and URBMI − 0.061 0.130 − 0.123 0.129 − 0.052 0.129 − 0.113 0.128
 UEMBI − 0.432*** 0.152 − 0.520*** 0.151 − 0.418*** 0.151 − 0.503*** 0.150
Income group
 21–40th percentile 0.328*** 0.100 0.335*** 0.099 0.340*** 0.100 0.349*** 0.099
 41–60th percentile 0.078 0.096 0.068 0.095 0.091 0.096 0.082 0.095
 61–80th percentile − 0.073 0.096 − 0.068 0.095 − 0.063 0.096 − 0.056 0.095
 81–100th percentile − 0.289*** 0.101 − 0.296*** 0.100 − 0.288*** 0.101 − 0.295*** 0.100
Health behavior
 Current drinker 0.040 0.072 0.108 0.072 0.0459 0.072 0.114 0.072
 Current smoker − 0.196** 0.081 − 0.156* 0.080 − 0.186** 0.081 − 0.144* 0.080
 Constant 7.165*** 1.548 7.025*** 1.562 7.219*** 1.538 7.079*** 1.544
City dummy variables YES YES YES YES
Adjusted R2 0.139 0.165 0.139 0.165
Wald Chi square 2126*** 2596*** 2228*** 2707***
  1. Models 1–4 are estimated using the xi:xtreg-command in Stata 14. Decentralization was calculated using the center-command
  2. * P < 0.10; ** P < 0.05; *** P < 0.01