The effect of cognitive performance on self-management behavior of multiple sclerosis patients

EFENDİ H. , Unal A., AKÇALI A., Altunan B., Bingol A., Altunrende B., ...More

MULTIPLE SCLEROSIS AND RELATED DISORDERS, vol.63, 2022 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 63
  • Publication Date: 2022
  • Doi Number: 10.1016/j.msard.2022.103880
  • Keywords: Multiple Sclerosis, Self-management, Cognition, Fatigue, Disability, EMPLOYMENT STATUS, DISEASE, IMPAIRMENT, ABILITIES, PEOPLE


Background: Difficulties of self-management in people with MS (pwMS) is considered as one of the most important factors contributing to low rehabilitation efficacy, more severe long-term complications and increase in healthcare costs. Despite the emergence of research in the last decade documenting causes, types, and course of cognitive difficulties in MS disease subtypes, limited evidence is available in the literature for direct comparison of self-management and cognitive deficits. In this study we aimed to investigate the relationship between cognitive performance and self-management in pwMS. Methods: PwMS who applied to neurology out-patient clinics of seven different centers were included into study. Multiple Sclerosis Self-Management Scale- Revised (MSSM-R) was used for the assessment of self-management behaviors and Multiple Sclerosis inventory cognition scale (MUSIC) was used for the assessment of cognitive performance and fatigue. Results: In this study, 194 (144 female and 50 male) pwMS participated (mean age = 38.9 years). The course of the disease was RRMS in 173 patients and mean EDSS was 2.0. 68.5% of the participants were married, 32.5% were employed, and 57.2% had secondary education. The MSSM-R mean score of the study group was 42.6 +/- 10.4 (1-81). There was a positive correlation between MSSM-R and MUSIC-cog scores (r = 0.21, p = 0.003). A hierarchical multiple regression revealed that income level (beta = 0.196, t = 2.692, p = 0.008) and cognitive performance (beta = 0.167, t = 2.063, p = 0.041) together with control variables (gender, age, educational status, employment status, duration of disease, EDSS and fatigue) explained 5.5% of the variance in self-management. Conclusion: Cognitive performance is a predictor of self-management in pwMS. Better self-management behavior is also related with employment and income level in pwMS. Studies evaluating patients' cognitive abilities and evaluating the effectiveness of adapted self-management training programs are needed.