Table 2.
Predictor | Outcome variable – Global ratings (1 to 5): | ||
---|---|---|---|
Physical health | Functioning | Financial position | |
Work/retirement status | |||
Employed (all phases) | 0 | 0 | 0 |
Not in workforce (all phases) | −0.76 (−0.99, −0.53)** | −0.89 (−1.14, −0.64)** | −0.55 (−0.75, −0.35)** |
Retired (all phases) | −0.13 (−0.26, 0.00) | −0.08 (−0.21, 0.06) | −0.01 (−0.12, 0.09) |
Employed to retired | 0.07 (− 0.15, 0.28) | 0.09 (− 0.15, 0.33) | 0.24 (0.05, 0.43)* |
Not in workforce to retired | − 0.36 (− 0.71, − 0.01)* | −0.50 (− 0.87, − 0.14)** | −0.26 (− 0.49, − 0.03)* |
Study phase | |||
Baseline | 0 | 0 | 0 |
1-year follow-up | −0.21 (− 0.31, − 0.10)** | −0.09 (− 0.19, 0.02) | −0.05 (− 0.12, 0.02) |
3-year follow-up | − 0.21 (− 0.33, − 0.08)** | 0.02 (− 0.11, 0.15) | 0.03 (− 0.06, 0.12) |
5-year follow-up | − 0.18 (− 0.31, − 0.06)** | − 0.15 (− 0.28, − 0.02)* | 0.07 (− 0.03, 0.17) |
Significant work/retirement status by phase interactions | |||
Employed to retired by 3-year follow-up | −0.18 (− 0.35, − 0.01)* | ||
Employed to retired by 5-year follow-up | − 0.27 (− 0.47, − 0.08)** | ||
Sex | |||
Male | 0 | 0 | 0 |
Female | 0.07 (− 0.04, 0.17) | 0.08 (− 0.03, 0.19) | − 0.01 (− 0.10, 0.08) |
Live on a farm | |||
No | 0 | 0 | 0 |
Yes | 0.03 (−0.09, 0.15) | −0.06 (− 0.18, 0.06) | −0.10 (− 0.20, 0.01) |
Any chronic disease | |||
No | 0 | 0 | 0 |
Yes | −0.33 (− 0.43, − 0.24)** | − 0.23 (− 0.33, − 0.13)** | −0.07 (− 0.15, 0.01) |
Currently married | |||
No | 0 | 0 | 0 |
Yes | 0.11 (−0.01, 0.22) | 0.20 (0.08, 0.32)** | 0.28 (0.19, 0.38)** |
Recent adverse life events | −0.13 (− 0.16, − 0.09)** | −0.15 (− 0.19, − 0.12)** | −0.07 (− 0.10, − 0.04)** |
ARIA | −0.02 (− 0.03, − 0.01)* | −0.02 (− 0.03, 0.00) | − 0.02 (− 0.03, − 0.01)* |
Occupation | |||
Manager | 0 | 0 | 0 |
Professional | 0.09 (−0.07, 0.26) | 0.02 (− 0.15, 0.19) | 0.21 (0.07, 0.36)** |
Technician/trade worker | −0.09 (− 0.28, 0.10) | −0.12 (− 0.32, 0.08) | −0.16 (− 0.34, 0.03) |
Community or personal service worker | − 0.07 (− 0.29, 0.14) | 0.02 (− 0.21, 0.24) | − 0.17 (− 0.35, 0.01) |
Clerical or administrative worker | − 0.08 (− 0.25, 0.10) | − 0.09 (− 0.28, 0.09) | −0.05 (− 0.21, 0.10) |
Sales worker | − 0.03 (− 0.30, 0.24) | 0.03 (− 0.23, 0.29) | − 0.07 (− 0.27, 0.14) |
Machinery operator or driver | − 0.19 (− 0.43, 0.05) | −0.14 (− 0.43, 0.14) | −0.30 (− 0.53, − 0.07)* |
Labourer | −0.18 (− 0.40, 0.05) | −0.16 (− 0.39, 0.07) | −0.21 (− 0.40, − 0.03)* |
Not in workforce | −0.19 (− 0.41, 0.03) | −0.09 (− 0.31, 0.14) | −0.07 (− 0.28, 0.15) |
Mixed occupations | − 0.08 (− 0.28, 0.13) | 0.01 (− 0.20, 0.22) | −0.18 (− 0.35, − 0.01)* |
Missing | −0.11 (− 0.35, 0.14) | −0.09 (− 0.36, 0.17) | −0.18 (− 0.38, 0.01) |
Note: ARIA, Accessibility/Remoteness Index of Australia Plus. Tabled values are raw regression weights (99% CIs) from Generalised Estimating Equations, which controlled for participant ID and household ID (N = 1903 individuals; 1427 households; 4914 cases): *p < 0.01; **p < 0.001. Twelve predictors examining work/retirement status by phase interactions were also included in each analysis. A small number of individuals (N = 28) were excluded from these analyses due to missing scores on some of the predictor variables