Non-improvement in chronic fatigue syndrome: relation to activity patterns, uplifts and hassles, and autonomic dysfunction

Abstract:

Objective: To test a model of non-improvement in chronic fatigue syndrome (CFS) utilizing self-report activity patterns (e.g., “push-crash”), uplifts and hassles, and a biological measure of cardiac autonomic function. Activity pattern impacts on symptoms and objective measures of autonomic and physical activity were also examined.

Methods: This prospective study in CFS collected all data remotely, including six months of weekly web diaries that recorded symptom ratings, activity patterns, and hassles and uplifts. In addition, six months of weekly heart monitoring and three months of daily waking actigraphy data were collected. Improvement or non-improvement status was assessed using semi-structured interviews at 6 months follow-up.

Results: 148 individuals (87.2% female) were enrolled and 12.2% were lost to follow-up. Participants reporting non-improvement (n = 92), as compared to improvement (n = 38) showed greater autonomic dysfunction (lower heart rate variability [HRV], group difference = 5.93 (SE = 2.73) ms; p = .032) and lower mean intensity of behavioral uplifts (group difference = 0.14 (SE = 0.16); p = .043), but no significant differences in any activity pattern, including push-crash, limiting activity, and healthy pacing.

Conclusions: This study provided evidence for linking patient-reported non-improvement to a biological variable indexing autonomic dysfunction and a behavioral measure indicating a deficit in psychological uplifts. These findings suggest a possible marker of illness trajectory that could potentially advance the biomedical underpinnings of CFS.

Source: Friedberg F, Adamowicz JL, Bruckenthal P, Milazzo M, Ramjan S, Quintana D. Non-improvement in chronic fatigue syndrome: relation to activity patterns, uplifts and hassles, and autonomic dysfunction. Psychosom Med. 2022 Apr 15. doi: 10.1097/PSY.0000000000001082. Epub ahead of print. PMID: 35420586. https://pubmed.ncbi.nlm.nih.gov/35420586/

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.