Table 4.
Relationships between related factors and MCS score (multivariate analysis, N = 1000)
| Independent variables | Model 1b | Model 2c | Model 3d | |||
|---|---|---|---|---|---|---|
| B (βa) | SE | B (β) | SE | B (β) | SE | |
| Aged care model | 2.731*** (0.138) | 0.620 | 1.481* (0.075) | 0.619 | − 8.506 (− 0.430) | 5.078 |
| Loneliness | – | – | − 9.584*** (− 0.478) | 0.555 | − 11.858*** (− 0.591) | 0.718 |
| Age | – | – | 0.109*** (0.104) | 0.033 | − 0.030 (− 0.029) | 0.047 |
| Number of chronic diseases | – | – | − 0.819*** (− 0.126) | 0.190 | − 0.694* (− 0.107) | 0.235 |
| Education level | – | – | – | – | – | – |
| Marital status | – | – | – | – | – | – |
| Interactions | ||||||
| Aged care model × loneliness | 5.300*** (0.189) | 1.134 | ||||
| Aged care model × age | 0.112 (0.422) | 0.066 | ||||
| Aged care model × number of chronic diseases | − 0.442 (− 0.059) | 0.390 | ||||
| F | 19.396 | 89.183 | 55.901 | |||
| R 2 | 0.019 | 0.264 | 0.283 | |||
| Adj R2 | 0.018 | 0.261 | 0.278 | |||
| ΔR2 | 0.019*** | 0.245*** | 0.019*** | |||
(1) Multiple linear regression analysis. (2) MCS score in Short Form-12 v2 was used as the dependent variable. (3) Independent variables were entered as categorical variables, except for age and number of chronic diseases which were entered as continuous variables. Aged care model (0: institutional care, 1: community-based home care); Loneliness (0: never/rarely feel lonely, 1: sometimes/often/always feel lonely); Education level (1: illiteracy, 2: elementary school, 3: middle school, 4: high school/secondary, 5: associate degree education or more); Marital status (0: widowed/divorced/single; 1: married/separated). (4) Adjusted for the relevant variables in Table 1. (5) aNumbers in parentheses are standardized coefficients. (6) *P < 0.05; **P < 0.01; ***P < 0.001
bIn Model 1 (multiple enter linear regression analysis), “aged care model” was entered in the equation
cIn Model 2 (multiple stepwise linear regression analysis.), “aged care model” and other covariates were included in the equation
dIn Model 3 (multiple enter linear regression analysis),the covariates significant in Step 2 and three interaction terms (“Aged care model × Loneliness,” “Aged care model × Age,” and “Aged care model × Number of chronic diseases”) were entered in the equation