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. 2018 Jan 16;15(4):359–367. doi: 10.1007/s10433-017-0454-z

Table 4.

Regression models using gender to predict change in social networks (weighted)

Dependent variable B (SE) Beta IRR (SE)
Social network size change 0.171 (0.050) 0.048***
Proportion kin change − 2.219 (1.038) − 0.033*
Contact frequency change 0.013 (0.042) 0.005
Emotional closeness change 0.001 (0.024) 0.001
Lost confidants 0.956 (0.029)
New confidants 1.083* (0.037)

N = 13,938; gender used as the predictor (men = 0, women = 1); controlled for age, education, marital status, financial adequacy, cognition score, depressive symptoms, quality of life, self-perceived health, mobility limitations, country and baseline dependent variable (baseline social network size in the Poisson models)

*p < .05, **p < .01, ***p < .001