Skip to main content
. 2021 May 27;4(5):e2111575. doi: 10.1001/jamanetworkopen.2021.11575

Table 2. Multivariable Linear Regression Showing Personal and Professional Factors as Independent Variables Associated With Work-Life Integrationa.

Variable Coefficient (SE) P value Overall P valueb
Intercept 75 (2.0) <.001
Gender (vs man) 0 NA
Woman −6 (0.7) <.001 <.001
Other −20 (6.8) .003
Age (vs <35), y 0 NA
35-44 −7 (1.4) <.001 <.001
45-54 −8 (1.7) <.001
55-64 −8 (2.0) <.001
≥65 −7 (2.5) .008
Relationship status (vs married) 0 NA
Single −3 (1.1) .003 .02
Partnered −3 (1.6) .09
Widow/widower 0 (3.0) .91
Youngest child’s age (vs no children), y 0 NA
<5 0 (1.2) .91 .81
5-12 −1 (1.2) .44
13-18 −1 (1.3) .42
19-22 −1 (1.5) .58
≥23 0 (1.3) .74
Years in practice (per 10 y) 2 (1.0) .001
Specialty (vs internal medicine subspecialty) 0 NA
Emergency medicine −18 (1.6) <.001 <.001
Urology −11 (4.0) .009
General surgery −4 (2.0) .04
Preventive medicine/occupational medicine −4 (4.4) .35
Anesthesiology −4 (1.7) .03
Family medicine −3 (1.4) .04
Physical medicine and rehabilitation −3 (2.2) .18
General surgery subspecialty −3 (1.4) .06
Otolaryngology −2 (3.5) .56
Obstetrics and gynecology −2 (1.9) .40
Orthopedic surgery −1 (1.6) .45
Radiation oncology −1 (3.5) .80
Radiology −1 (1.8) .64
Neurosurgery 0 (3.0) .91
General internal medicine 0 (1.4) .84
Neurology 0 (1.8) .94
Psychiatry 1 (1.4) .45
General pediatrics 2 (1.7) .34
Pediatric subspecialty 2 (1.8) .34
Dermatology 2 (2.1) .29
Pathology 3 (2.1) .15
Ophthalmology 3 (2.0) .13
Other −2 (2.1) .42
Missing 1 (3.6) .77
Practice setting (vs private practice) 0 NA
Academic medical center 0 (0.8) .60 .047
Veteran’s hospital −1 (2.2) .74
Active military practice 1 (3.0) .78
Hours worked per week (vs <40 h) 0 NA
40-49 −2 (1.0) .09 <.001
50-59 −9 (1.0) <.001
60-69 −16 (1.1) <.001
70-79 −22 (1.4) <.001
≥80 −27 (1.5) <.001
Call nights per week (per night) −1 (0.2) <.001

Abbreviation: NA, not applicable.

a

N = 4370 respondents. Dependent variable is work-life integration score (0-100 point scale). Estimates via multivariable linear regression with all covariates shown.

b

Overall P-values for categorical variables via Wald test.