Research Article
Understanding Disabilities among the Elderly in China: Important Factors, Current Situation, and Future Perspective
Table 3
Results of the multiple regression analysis on being disabled or not.
| Disabled or not | Coefficient | Standard deviation | t | | (95% confidence interval) |
| Age | 0.0023967 | 0.0010061 | 2.38 | 0.017 | 0.0004229 | 0.0043706 | Gender | 0.0052931 | 0.0044926 | 1.16 | 0.248 | −0.00362 | 0.0140063 | Educational background | 0.0002336 | 0.00429929 | 0.06 | 0.957 | −0.008188 | 0.0086553 | Marital status | 0.313562 | 0.148443 | 2.11 | 0.035 | 0.0022352 | 0.604772 | Presence of disability-related issues | −0.1244832 | −0.168741 | −7.38 | 0.0001 | −0.1575861 | −0.913803 | Suffering from chronic illnesses | −0.617708 | 0.0161676 | −3.82 | 0.0001 | −0.934878 | −0.300539 | Cons | 0.1476852 | 0.843754 | 1.76 | 0.080 | −0.017839 | 0.3132093 | F(6,1323) = 14.64 | | | | | | | Prob > F = 0.000 | | | | | | | R-squared = 0.0623 | | | | | | | Adj R-squared = 0.580 | | | | | | | Root MSE = 0.25366 | | | | | | |
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