Skip to main content
. 2016 Nov 22;11(11):e0166955. doi: 10.1371/journal.pone.0166955

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.