The correlation analysis of WeChat usage and depression among the middle-aged and elderly in China: the mediating role of social participation

Table 5 Binary logistic regression results of different types of social participation and depression

Variable	Model 9	Model 10	Model 11	Model 12	Model 13	Model 14	Model 15	Model 16
WeChat usage	0.703^***	0.726^***	0.711^***	0.706^***	0.701^***	0.734^***	0.711^***	0.705^***
WeChat usage	(0.606–0.816)	(0.625–0.843)	(0.613–0.824)	(0.609–0.818)	(0.604–0.813)	(0.631–0.852)	(0.614–0.825)	(0.608–0.817)
Voluntary activities (Yes)	0.975
Voluntary activities (Yes)	(0.820–1.159)
Recreation (Yes)		0.812^**
Recreation (Yes)		(0.701–0.940)
Cultural activities (Yes)			0.718
Cultural activities (Yes)			(0.506–1.017)
Other activities (Yes)				0.792
Other activities (Yes)				(0.504–1.244)
Levels of voluntary activities
One					0.941
One					(0.782–1.133)
Two					1.134
Two					(0.762–1.688)
Three					1.400
Three					(0.555–3.535)
Levels of recreation
One						0.859
One						(0.733–1.007)
Two						0.697^**
Two						(0.557–0.873)
Three						0.788
Three						(0.483–1.284)
Levels of Cultural activities
One							0.746
One							(0.522–1.067)
Two							0.395
Two							(0.088–1.765)
Levels of other activities
One								0.764
One								(0.483–1.208)
Two								6.116
Two								(0.310–120.763)
Constant	172.835^***	180.163^***	165.791^***	169.944^***	174.239^***	179.866^***	166.274^***	170.102^***
Constant	(54.249–550.642)	(56.502–574.465)	(52.058–528.000)	(53.340–541.447)	(54.668–555.334)	(56.295–574.685)	(52.210–529.536)	(53.380–542.052)
N	4545	4545	4545	4545	4545	4545	4545	4545

Note: Control variables were included in all models; ^* p < 0.05, ^** p < 0.01, ^*** p < 0.001

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