| Titre : | What Biopsychosocial Factors Explain Self-management Behaviors in Multiple Sclerosis? The Role of Demographics, Cognition, Personality, and Psychosocial and Physical Functioning (2021) |
| Auteurs : | Elizabeth S. Gromisch ; Lindsay O. Neto ; Aaron P. Turner |
| Type de document : | Article |
| Dans : | Archives of Physical Medicine and Rehabilitation (Vol. 102, n° 10, 2021) |
| Article en page(s) : | p. 1982-1988.e4 |
| Note générale : | https://doi.org/10.1016/j.apmr.2021.05.012 |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci Diabète ; Gestion de soi ; Mémoire épisodique ; Personnalité ; Psychosociologie ; Réadaptation ; Sclérose en plaques ; Systèmes de soutien psychosocial |
| Résumé : |
Objectives
To examine the biopsychosocial correlates of overall and individual self-management behaviors in persons with multiple sclerosis (MS), including demographics, co-occurring medical diagnoses, cognition, personality traits, and psychosocial and physical functioning as variables. Design Prospective cross-sectional cohort study. Setting Community-based comprehensive MS center. Participants Adults with MS (n=112) who completed a brief neuropsychological battery that included a self-report survey and performance-based measures of cognitive function. Interventions Not applicable. Main Outcome Measures The MS Self-management Scale–Revised total score was the primary outcome and its 5 subscales (Healthcare Provider Relationship/Communication, Treatment Adherence/Barriers, Social/Family Support, MS Knowledge and Information, Health Maintenance Behaviors) were secondary outcomes. Results Disease-modifying therapy usage (β=0.39), social support (β=0.31), subjective prospective memory (β=−0.25), emotional well-being (β=0.20), and histories of diabetes (β=−0.18) and high cholesterol (β=0.15) were significantly associated with overall self-management in a multivariate model. Correlates of individual self-management behaviors are also described. Conclusions The findings provide insights into the biopsychosocial characteristics contributing to the overall and individual self-management behaviors of persons with multiple sclerosis. The next steps will be to evaluate these factors in a clinical intervention. |
| Disponible en ligne : | Oui |
| En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S000399932100455X#! |
Bibliothèques HE Vinci
