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. 2022 Jul 20;53(4):670–675. [Article in Chinese] doi: 10.12182/20220760208

表 3. The ordered probit regression analysis (partial regression coefficient) of the impact of social interaction on the self-rated health of older adults (n=1179) .

社会交往对老年人自评健康影响的Probit回归分析结果(偏回归系数,n=1179)

Explanatory variable Model 1 Model 2 Model 3
 *P<0.1, **P<0.05, ***P<0.01. Model 1 was used to analyze the impact of four explanatory variables such as the effect of social interaction on self-rated health. In Model 2, the control variables of personal characteristics (gender, age, education) were added to the variables of model 1. Model 3 included the additional variable of psychological capital factors on top of the variables of model 2.LR chi2: Likelihood ratio chi-square.
Active social interaction (β) 0.098*** 0.094*** 0.075**
Social contact with relatives (β) 0.107*** 0.075* 0.059
Social contact with neighbors (β) −0.052*** −0.019 −0.013
Social contact with friends (β) 0.069*** 0.049*** 0.046**
Gender (β) 0.133** 0.111*
Age (β) −0.004 −0.003
Junior middle school (β) 0.338*** 0.267***
High school (β) 0.487*** 0.374***
Bachelor degree or above (β) 0.651*** 0.521***
Psychological capital (β) 0.149***
LR chi2 45.05*** 105.62*** 161.43***