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Table 4 Multivariate logistic regression analysis of pre-training strength subtest to predict return-to-work with different models

From: Does category of strength predict return-to-work after occupational injury?

Variables

Model 1a

Model 2b

Model 3c

Pre-training

 Bilateral carrying

1.12 (1.01–1.24)*

1.15 (1.01–1.31)*

1.27 (1.04–1.54)*

Demographic characteristics

 Age (years)

–

0.98 (0.91–1.04)

0.98 (0.89–1.09)

 Sex

  Female vs. male

–

1.79 (0.35–9.09)

13.56 (0.70–265.37)

 Marital status

  Married vs. unmarried

–

1.31 (0.23–7.46)

2.05 (0.17–24.36)

 Education level

  High school or less vs. university and above

–

2.07 (0.39–11.11)

8.58 (0.73–101.36)

 Injury site

  Upper limb vs. Other

–

0.15 (0.01–1.54)

0.67 (0.03–16.65)

  Lower limb vs. Other

–

0.06 (0.004–0.80)

0.08 (0.002–2.97)

Physical functional elements

 Pain

  Yes vs. no

–

–

10.19 (0.71–145.55)

 Carrying

  Moderate load vs. Mild load

–

–

0.05 (0.001–3.05)

 Lifting

  Moderate load vs. Mild load

–

–

59.62 (0.92–3869.37)

 Climbing

  Moderate load vs. Mild load

–

–

3.28 (0.27–40.32)

 Stooping-crouching

  Moderate load vs. Mild load

–

–

0.28 (0.03–2.61)

 Repetitive sitting-standing

  Moderate load vs. Mild load

–

–

2.36 (0.32–17.51)

 Walking

  Moderate load vs. Mild load

–

–

0.09 (0.01–1.58)

  1. Note. Physical functional elements pertain to pre-accident job requirements
  2. Physical functional elements load classification: Mild load, including sedentary and light loads; moderate load, including moderate, heavy, and very heavy loads
  3. * P < 0.05
  4. a Model 1: pre-training bilateral carrying ability
  5. b Model 2: pre-training bilateral carrying ability plus demographic characteristics
  6. c Model 3: fully adjusted model, including pre-training bilateral carrying ability, demographic characteristics and pre-accident physical functional elements of work
  7. AOR, adjusted odds ratio; CI, confidence interval