Variables Associated with Self-reported Language Impairment in Multiple Sclerosis: A Regression Analysis.

Background: Persons with multiple sclerosis (MS) can experience language-related symptoms such as difficulty with word finding, understanding verbal information, and structuring discourse. These symptoms have negative psychological and interpersonal consequences. Studies exploring characteristics of language impairment in MS are limited. The aim of this study was to investigate what symptom-related (eg, fatigue), demographic (eg, age), clinical (eg, MS type), social network, and quality of life (QOL) variables are associated with language impairment in MS. Methods: Participants were recruited internationally to complete an online questionnaire. A forward stepwise regression analysis was run with the dependent variable being a language impairment index from the Communication and Language Assessment questionnaire for persons with Multiple Sclerosis (CLAMS). Nineteen independent variables were entered into the regression. Results: Two hundred and two participants completed the questionnaire. The CLAMS language impairment score was significantly associated with self-reported cognitive impairment, speech and voice impairment, yes/no response to a binary question on presence of language impairment, group membership and participation, and QOL. The adjusted R² value was 0.717 (P < .001). Conclusions: Self-reported language impairment in MS is significantly associated with several symptom-related, social network, and QOL variables. These results provide an early model of language impairment in MS to guide future studies of treatment approaches and causative relationships between variables. [ABSTRACT FROM AUTHOR]