Table 2. Predictors of employment status.
Parameter | Univariable analysis | Multivariable analysis | ||
---|---|---|---|---|
Unadjusted odds ratio (95% CI) | P-value# | Adjusted odds ratio (95% CI) | P-value# | |
Gender | < 0.0001 | < 0.001 | ||
Female | 1.00 | 1.00 | ||
Male | 1.66 (1.31–2.10) | 1.73 (1.33–2.25) | ||
Age (/10 years) | < 0.0001 | < 0.0001 | ||
Age^3 | 1.05 (1.02–1.08) | 1.05 (1.02–1.08) | ||
Age^3 * ln(Age) | 0.97 (0.96–0.99) | 0.97 (0.96–0.99) | ||
Education (/10 years) | < 0.0001 | < 0.0001 | ||
Education^2 | 14.27 (6.53–31.16) | 12.03 (5.42–26.70) | ||
Education^3 | 0.42 (0.30–0.57) | 0.44 (0.32–0.62) | ||
Lesion level | < 0.001 | < 0.0001 | ||
Tetraplegia | 1.00 | 1.00 | ||
Paraplegia | 1.53 (1.22–1.91) | 1.78 (1.40–2.27) | ||
Lesion type | 0.18 | 0.24 | ||
Complete | 1.00 | 1.00 | ||
Incomplete | 0.87 (0.70–1.07) | 1.15 (0.91–1.47) | ||
Time since injury | 0.21 | 0.027 | ||
(/10 years) | 1.06 (0.97–1.16) | 1.13 (1.01–1.27) | ||
Etiology | < 0.0001 | 0.083 | ||
Non-traumatic | 1.00 | 1.00 | ||
Traumatic | 1.76 (1.32–2.35) | 1.35 (0.96–1.91) |
Notes: Given are odds ratios derived from logistic regression analysis with being employed or self-employed as dependent variable.
# From Wald test (following weighted logistic regression analysis with robust standard errors).
All analyses were adjusted for both unit and item nonresponse.