The association between hope and employment among individuals with multiple sclerosis: A hierarchical logistic regression model

Work. 2023;74(2):531-538. doi: 10.3233/WOR-211210.

Abstract

Background: Most people with multiple sclerosis (MS) are employed at the time of their diagnosis; however, due to the unpredictable nature of MS, most exit the workforce shortly thereafter. A plethora of research has examined factors that negatively affect employment outcomes for people with MS. However, little is known about how hope, a modifiable positive psychology factor, affects employment.

Objective: This study examined the role of hope and its association with employment outcomes for people with MS.

Methods: Two-hundred and fifty-five adults with MS (mean ± SD age, 45.45 years ± 10.28) completed surveys about their MS, employment, disability-related stress, and hope. A three-step hierarchical logistic regression was conducted to examine the extent to which hope explains the variance in employment, over and above demographic and disability related covariates.

Results: The final model explained 28% of the variance in employment, suggesting that the model was able to distinguish people with MS who were employed versus those who were unemployed. Higher levels of hope were associated with an increased probability of being employed (OR = 4.65; 95% CI [1.98, 10.92]).

Conclusion: This study supports that hope is associated with favorable employment outcomes for people with MS. Persons with MS may benefit from working with rehabilitation professionals to enhance their hope, and this study provides a foundation for the development of hope-based interventions to improve employment outcomes among this population.

Keywords: Positive psychology; vocational rehabilitation; work.

MeSH terms

  • Adult
  • Employment
  • Humans
  • Logistic Models
  • Middle Aged
  • Multiple Sclerosis* / complications
  • Persons with Disabilities* / rehabilitation
  • Rehabilitation, Vocational