Impact of a Multimodal and Combination Therapy on Self-Regulation and Internal Coherence in German Breast Cancer Survivors With Chronic Cancer-Related Fatigue: A Mixed-Method Comprehensive Cohort Design Study
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Pharmacology
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Recent studies have proved the relevance of salutogenetic variables for fatigue management in breast cancer survivors with cancer-related fatigue (CRF). This comprehensive cohort design study is the first to examine the impact of 2 multimodal therapies, multimodal therapy (MT) and combined therapy (CT), compared with standard aerobic training (AT) on salutogenetic variables (self-regulation and internal coherence) and distress in breast cancer survivors with CRF. A total of 105 patients started the therapies and n = 84 completed the Self-regulation Scale, the Internal Coherence Scale, the Cancer Fatigue Scale, and the Hospital Anxiety and Depression Scale at baseline, 10 weeks after treatment (T1) and n = 81 after 6 months (T2). Patient satisfaction and qualitative feedback regarding therapy quality was assessed at T1. A general linear model including allocation type, therapy arm (MT/CT/AT), and bias-adjusting propensity scores tested the superiority of both multimodal therapies versus AT for all questionnaires at T1 and T2. MT and CT were superior to AT to improve self-regulation and patients' satisfaction at T1. Additionally, CT showed superiority for self-regulation at T2 (all < .05). Compared with AT, internal coherence was significantly higher for patients in the MT arms at T2, respectively (all < .01). Pearson's correlations between self-regulation, internal coherence, and CRF improved from baseline to T2 (Mean = -0.60). Qualitative feedback confirmed patients' benefits in several health-related categories. Self-regulation and internal coherence are manipulable variables with relevant CRF associations. They can be positively affected by multimodal therapies. Alongside patients' satisfaction and qualitative feedback they help refine treatment.
Xu J, Li Q, Gao Z, Ji P, Ji Q, Song M BMC Cancer. 2025; 25(1):64.
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Penna G, Otto D, Costa da Silva T, Pedroni A, Macagnan F Support Care Cancer. 2023; 31(2):129.
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