| Sign In to gain access to subscriptions and/or personal tools. |
Predictors of Employment Status for People with Multiple SclerosisUniverstiy of Arkansas, rroessl{at}uark.edu
Kent State University
Kent State University 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.
Rehabilitation Counseling Bulletin, Vol. 47, No. 2,
96-103 (2004) This article has been cited by other articles:
|
|||||||||||||||||||||||||||||||||||||||

