Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2026
Anxiety in multiple sclerosis: an exploratory cross-sectional study of psychological, social, clinical, and neuroimaging factors.
СтатьяНазвание и аннотация: Перевод в очереди
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Alptekin Furkan Bahadır, Savaşçı Didem, Karaaslan Betül, Aşık Özge, Torlak Ebrar
Аннотация
OBJECTIVE: Anxiety is a common but often overlooked psychiatric comorbidity in multiple sclerosis (MS), significantly affecting quality of life. This cross-sectional study examined anxiety in MS patients using a biopsychosocial framework, aiming to identify differences from healthy controls and determine predictive factors.
METHODS: We compared 101 MS patients with 136 healthy controls using numeric rating scales for pain and fatigue, Hospital Anxiety and Depression Scale (HADS), Brief Resilience Scale, Acceptance and Action Questionnaire-II (AAQ-II), and multidimensional scale of perceived social support. Clinical data included Expanded Disability Status Scale (EDSS) scores and MRI measurements. Analyses included t-tests, Pearson correlations, and hierarchical regression.
RESULTS: Patients with MS had significantly higher HADS-Anxiety scores (M = 8.71, SD = 4.35) than healthy controls (M = 7.53, SD = 3.58; p = .023), with 30.7% meeting the clinical threshold for anxiety. Hierarchical regression analysis identified psychological inflexibility (β = 0.318, p < .001), depression (β = 0.264, p = .007), and female sex (β = 0.395, p = .032) as significant predictors of anxiety in patients with MS, explaining 48% of the total variance. Importantly, neurological disability, structural brain measures, clinical symptoms, and social support were not significant predictors of anxiety. However, EDSS scores were significantly associated with AAQ-II scores (r = 0.309, p = .002).
CONCLUSIONS: Anxiety in MS is primarily influenced by psychological factors, particularly psychological inflexibility and comorbid depression, rather than biological variables. Findings support acceptance and commitment therapy-based interventions and routine psychiatric screening.
METHODS: We compared 101 MS patients with 136 healthy controls using numeric rating scales for pain and fatigue, Hospital Anxiety and Depression Scale (HADS), Brief Resilience Scale, Acceptance and Action Questionnaire-II (AAQ-II), and multidimensional scale of perceived social support. Clinical data included Expanded Disability Status Scale (EDSS) scores and MRI measurements. Analyses included t-tests, Pearson correlations, and hierarchical regression.
RESULTS: Patients with MS had significantly higher HADS-Anxiety scores (M = 8.71, SD = 4.35) than healthy controls (M = 7.53, SD = 3.58; p = .023), with 30.7% meeting the clinical threshold for anxiety. Hierarchical regression analysis identified psychological inflexibility (β = 0.318, p < .001), depression (β = 0.264, p = .007), and female sex (β = 0.395, p = .032) as significant predictors of anxiety in patients with MS, explaining 48% of the total variance. Importantly, neurological disability, structural brain measures, clinical symptoms, and social support were not significant predictors of anxiety. However, EDSS scores were significantly associated with AAQ-II scores (r = 0.309, p = .002).
CONCLUSIONS: Anxiety in MS is primarily influenced by psychological factors, particularly psychological inflexibility and comorbid depression, rather than biological variables. Findings support acceptance and commitment therapy-based interventions and routine psychiatric screening.