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Managing fatigue transdiagnostically: a qualitative study among people with chronic conditions on optimizing daily activity
To explore fatigue and physical activity behavior experiences and management, with an emphasis on activity pacing among adults with chronic conditions. Semi-structured interviews were conducted with 15 adults with chronic conditions and the symptoms of chronic fatigue who had either received or not...
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Published in: | Disability and rehabilitation 2024-08, p.1 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Online Access: | Get full text |
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Summary: | To explore fatigue and physical activity behavior experiences and management, with an emphasis on activity pacing among adults with chronic conditions.
Semi-structured interviews were conducted with 15 adults with chronic conditions and the symptoms of chronic fatigue who had either received or not received fatigue management advice. Interviews were audio-recorded and transcribed verbatim, then analyzed using reflexive thematic analysis.
Participants reported barriers to fatigue management such as overactivity, mental health issues, and workplace challenges. Additionally, they highlighted rest, restful activities, and supportive social environment as facilitators of effective fatigue management, along with the importance of nutrition and physical activity. In some cases, there were conflicting experiences with social environment and physical activity. Activity pacing was identified as a promising solution and participants recommended several strategies for future consideration.
Participants identified fatigue as a significant denominator in daily living and recognized the importance of activity pacing in fatigue management. Through reflective processes, they uncovered crucial factors for effective fatigue management, highlighting a multidimensional, interdisciplinary, and tailored approach to activity pacing as a promising solution. Further research should explore clinicians' perspectives of a multidimensional fatigue management approach to further support optimal intervention design. |
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ISSN: | 1464-5165 1464-5165 |
DOI: | 10.1080/09638288.2024.2393798 |