Predictors of Employment Status for People with Multiple Sclerosis

Richard T. Roessler, Phillip D. Rumrill, Shawn M. Fitzgerald

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

Abstract

This study examined the relevance of the disease-and-demographics model for explaining the employment outcomes of adults with multiple sclerosis (MS). Participating in a national survey of their employment concerns, 1,310 adults with MS provided data for the study (274 men, 21%; 1,020 women, 78%; 16 participants did not identify their gender). With an average age of 50 (SD = 12.14), most of the respondents were White (92%), well educated (97% were high school graduates, 40% were college graduates), and residing in urban and suburban areas (74%). Results from a backward stepwise multiple logistic regression analysis included the following variables as best predictors of employment status: educational attainment, severity of symptoms, persistence of symptoms, and presence of cognitive impairment/dysfunction (R2 = .23). The article discusses the relationship of the findings to psychosocial and career development models in rehabilitation and to training, educational, accommodation planning, and cognitive interventions.

Original languageEnglish
Pages (from-to)96-103
Number of pages8
JournalRehabilitation Counseling Bulletin
Volume47
Issue number2
DOIs
StatePublished - 2004

ASJC Scopus subject areas

  • Rehabilitation
  • Applied Psychology
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Predictors of Employment Status for People with Multiple Sclerosis'. Together they form a unique fingerprint.

Cite this