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Table 3 Logistic regression estimates of Internet use among older adults in China (N = 7779)

From: Does internet use affect levels of depression among older adults in China? A propensity score matching approach

Variables

OR

Std. error

z

p

[95% Confidence Interval]

Constant

.523

.402

−.84

.399

[.116, 2.357]

Gender

1.175

.131

1.45

.148

[.944, 1.463]

Age

.909***

.010

−9.39

.000

[.890, .927]

Urban or Rural

5.625***

.862

11.27

.000

[4.166, 7.596]

Marital status

1.118

.219

.57

.568

[.762, 1.642]

Living condition

1.157

.309

.55

.585

[.686, 1.952]

Pensions

1.825***

.210

5.24

.000

[1.457, 2.286]

Education background

2.251***

.103

17.79

.000

[2.058, 2.461]

Physical health

.893*

.045

−2.27

.023

[.809, .985]

Life satisfaction

.908

.049

−1.77

.076

[.817, 1.010]

Intelligence level

1.302***

.063

5.46

.000

[1.184. 1.431]

Pseudo R2

31.8%

    

AUC

.894

    
  1. (1) * p < .05, ** p < .01, *** p < .001; (2) OR odds ratio, AUC area under receiver operating characteristic line