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Exploring the Impact of Illness Perceptions, Self-efficacy, Coping Strategies, and Psychological Distress on Quality of Life in a Post-stroke Cohort.
Minshall, Catherine; Ski, Chantal F; Apputhurai, Pragalathan; Thompson, David R; Castle, David J; Jenkins, Zoe; Knowles, Simon R.
Affiliation
  • Minshall C; School of Social Work and Social Policy, La Trobe University, Melbourne, Australia. Catherine.Minshall@unimelb.edu.au.
  • Ski CF; St. Vincent's Hospital, Mental Health Service, Melbourne, Australia. Catherine.Minshall@unimelb.edu.au.
  • Apputhurai P; Department of Psychiatry, The University of Melbourne, Melbourne, Australia.
  • Thompson DR; School of Nursing and Midwifery, Queen's University Belfast, Belfast, UK.
  • Castle DJ; Australian Centre for Heart Health, Royal Melbourne Hospital, Melbourne, Australia.
  • Jenkins Z; Department of Psychology, Faculty of Health, Arts and Design, Swinburne University, Melbourne, Australia.
  • Knowles SR; Department of Psychiatry, The University of Melbourne, Melbourne, Australia.
J Clin Psychol Med Settings ; 28(1): 174-180, 2021 03.
Article in En | MEDLINE | ID: mdl-31974748
ABSTRACT
This study evaluated the mediating role of self-efficacy, coping, depression and anxiety on the relationship between illness perceptions and quality of life in stroke survivors (n = 72; 32 females; mean [SD] age 65.09 [14.14] years; male mean [SD] age 69.83 [11.81]). Illness perceptions (Brief Illness Perceptions Questionnaire; BIPQ), coping styles (Carver Brief-COPE scale; B-COPE), depression/anxiety (Hospital Anxiety and Depression Scale; HADS), self-efficacy (General Self-Efficacy Scale; GSE) and quality of life (Assessment of quality of life; AQOL-6D) were analysed. Correlation analyses showed illness perception, maladaptive coping, self-efficacy, depression and anxiety to have a significant negative relationship with quality of life. Mediation analyses showed that while maladaptive coping and self-efficacy did not mediate the relationship between illness perception and quality of life, depression and anxiety did. The final model explained 76.74% of the variance in quality of life. Although based on a relatively small sample size, these results provide evidence for the important role of psychosocial factors in quality of life in post-stroke cohorts.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stroke / Psychological Distress Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male Language: En Journal: J Clin Psychol Med Settings Journal subject: PSICOLOGIA Year: 2021 Type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stroke / Psychological Distress Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male Language: En Journal: J Clin Psychol Med Settings Journal subject: PSICOLOGIA Year: 2021 Type: Article Affiliation country: Australia