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Official Journal of the Italian Society of Orthopaedics and Traumatology

Table 3 Univariate linear regression models evaluating the relationship between leave of absence (in days) and clinical and job-related characteristics of the study participants: percent change, 95 % confidence intervals (CIs), and P values

From: Are work return and leaves of absence predictable after an unstable pelvic ring injury?

Variables

Category/increment

Percent change (95 % CI)

P value

Gender

Female

Baseline

0.154

 

Male

27.2 (−53.3, 13.2)

 

Age at surgery

10 years more

−0.2 (−15.2, 17.4)

0.979

Time from trauma to definitive surgery

10 days more

41.3 (6.5, 87.4)

0.018

Type of fracture

B

Baseline

0.995

 

C

0.2 (−38.7, 63.6)

 

Polytrauma

No

Baseline

<0.0001

 

Yes

120.1 (45.9, 232.3)

 

ASA classification score

0–1

Baseline

0.997

 

2–3

0.1 (−42.7, 74.9)

 

ICU admission

No

Baseline

0.019

 

Yes

62.9 (9.0, 143.5)

 

Sedentary worker

No

Baseline

0.620

 

Yes

11.3 (−27.7, 71.3)

 

Job sector

Private

Baseline

0.096

 

Public

51.0 (−7.4, 146.2)

 
  1. The models predicted log10-transformed leaves of absence. All parameter estimates have been exponentiated
  2. ASA American Society of Anesthesiologists physical status classification; ICU intensive care unit