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. 2022 Nov 2;33(2):352–361. doi: 10.1007/s10926-022-10078-z

Table 2.

Associations of the extent of job accommodations with job-, workplace-, and employee-related factors

Univariable Poisson regression Multivariable Poisson regression
Relative risk (95% CI) p value Relative risk (95% CI) p value
Employee-related factors
 Age, mean (SD) years 0.99 (0.98, 0.99) < 0.001 0.99 (0.98, 0.99) 0.02
 Female 1.11 (0.97, 1.27) 0.12
 Race (White) 0.78 (0.67, 0.90) 0.001
 Married, living with significant other/partner 0.89 (0.78, 1.02) 0.09
 Education (at least bachelor’s degree) 0.99 (0.86, 1.16) 0.99
 Primary diagnosis 1.00 (0.99, 1.00) 0.23
  Other disorders Reference
  Musculoskeletal disorders 1.03 (0.85, 1.25) 0.78
  Neurological disorders 0.91 (0.76, 1.09) 0.31
 Have more than one diagnosis 1.42 (1.23, 1.62) < 0.001 1.19 (0.99, 1.42) 0.06
 Time since disability onset 1.00 (0.99, 1.01) 0.70
 Used wheelchair 1.49 (1.28, 1.72) < 0.001 1.50 (1.22, 1.83) < 0.001
 Disability phenotype£
  Severe disability in all domains Reference Reference
  High physical disability 0.84 (0.73, 0.97) 0.02 0.87 (0.71, 1.07) 0.18
  Moderate cognitive and low physical disability 0.78 (0.64, 0.94) 0.01 0.75 (0.57, 0.99) 0.05
 Symptoms
  Pain 1.2 (1.09, 1.42) 0.001
  Fatigue 1.12 (0.97, 1.28) 0.12
 Familiar with the services of the Job Accommodation Network (JAN) 1.46 (1.22, 1.76) < 0.001 1.29 (0.99, 1.42) 0.06
 Ever worked full time after the disability 0.86 (0.74, 0.99) 0.04
 Income at or above $1220 per month (2019) 0.76 (0.63, 0.91) 0.004
Job- and workplace-related factors
 Company size > 250 0.94 (0.81, 1.10) 0.45
 Job required considerable or extensive preparation 0.86 (0.73, 1.01) 0.06 0.78 (0.64, 0.96) 0.02
 Sedentary job 1.24 (1.08, 1.43) 0.003
 Belong to the union 1.14 (0.94, 1.36) 0.18 1.20 (0.94, 1.55) 0.14
 Self-perceived high job demands 1.42 (1.24, 1.63) < 0.001 1.19 (0.99, 1.43) 0.07
 Self-employed 1.16 (0.96, 1.40) 0.13 1.37 (1.01, 1.86) 0.04

*Data presented as n (%) unless otherwise noted and may not add to 100% due to rounding

£Functional impairment phenotypes were constructed using latent class analysis, including emotion, cognitive, communication, visual impairments

Backward stepwise regression model