多发性硬化
认知
医学
扩大残疾状况量表
自我管理
神经学
康复
物理疗法
认知康复治疗
临床心理学
老年学
精神科
机器学习
计算机科学
作者
Hüsnü Efendı,Aysun Ünal,Aylin Akçalı,Bengü Altunan,Ayhan Bingöl,Burcu Altunrende,Mesrure Köseoğlu,Duygu Deringöl,Cihat Uzunköprü,Cansu Eğilmez,Fatma Belgin Balcı,Gülşen Akman,Kübra Gizem Tarhan,Aslı Aksoy Gündoğdu,Simge Ertürk,Yeşim Beckmann
标识
DOI:10.1016/j.msard.2022.103880
摘要
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.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.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 (β = 0.196, t = 2.692, p = 0.008) and cognitive performance (β = 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.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.
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