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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

VariablesORStd. errorzp[95% Confidence Interval]
Constant.523.402−.84.399[.116, 2.357]
Gender1.175.1311.45.148[.944, 1.463]
Age.909***.010−9.39.000[.890, .927]
Urban or Rural5.625***.86211.27.000[4.166, 7.596]
Marital status1.118.219.57.568[.762, 1.642]
Living condition1.157.309.55.585[.686, 1.952]
Pensions1.825***.2105.24.000[1.457, 2.286]
Education background2.251***.10317.79.000[2.058, 2.461]
Physical health.893*.045−2.27.023[.809, .985]
Life satisfaction.908.049−1.77.076[.817, 1.010]
Intelligence level1.302***.0635.46.000[1.184. 1.431]
Pseudo R231.8%    
AUC.894    
  1. (1) * p < .05, ** p < .01, *** p < .001; (2) OR odds ratio, AUC area under receiver operating characteristic line