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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