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DOI 10.1016/j.ensci.2023.100489

Медицинская библиотека · eNeurologicalSci · 2023

Psychometric validation of the Arabic multiple sclerosis resiliency scale: Uncovering resilience factors in Lebanese MS patients for clinical and research advancements.

Yaktine Nour, Fares Souha, Khoury Samia J, Darwish Hala

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Аннотация

BACKGROUND

Multiple sclerosis (MS) is an autoimmune demyelinating disease that involves the central nervous system (CNS). Individuals with Multiple Sclerosis (MS) may experience difficulty adapting to their diagnosis as the unpredictable nature of the disease can be challenging to cope with.

METHODS

The purpose of this study is twofold. First, we have culturally adapted and analyzed the Arabic version of the Multiple Sclerosis Resiliency Scale (MSRS) psychometric properties. Second, we aimed to explore resilience in a sample of Lebanese patients with MS in the face of the chronic disease and financial hardship that Lebanon is going through to evaluate their strengths and struggles. The sample consisted of 306 participants aged between 18 and 79 diagnosed with MS for at least one year.

RESULTS

After examining criterion validity, construct validity, internal consistency, and test-retest reliability, the Arabic version of the MSRS exhibited good psychometric properties. The study also revealed that resilience increases with age and lower disability scores. Additionally, individuals with higher resilience levels displayed lower levels of depression. The research revealed that MS patients have high resilience, mainly relying on cognitive and emotional strategies, social support from family and friends, MS peer support, and spirituality.

CONCLUSION

These findings highlight the importance of emotional coping strategies and social support in building resilience among MS patients.

Для цитирования: Yaktine Nour, Fares Souha, Khoury Samia J, Darwish Hala. Psychometric validation of the Arabic multiple sclerosis resiliency scale: Uncovering resilience factors in Lebanese MS patients for clinical and research advancements.. eNeurologicalSci. 2023. DOI: 10.1016/j.ensci.2023.100489.
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