Literature DB >> 35420586

Nonimprovement in Chronic Fatigue Syndrome: Relation to Activity Patterns, Uplifts and Hassles, and Autonomic Dysfunction.

Fred Friedberg1, Jenna L Adamowicz, Patricia Bruckenthal, Maria Milazzo, Sameera Ramjan, Daniel Quintana.   

Abstract

OBJECTIVE: To test a model of nonimprovement in chronic fatigue syndrome (CFS) using 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 6 months of weekly web diaries that recorded symptom ratings, activity patterns, and hassles and uplifts. In addition, 6 months of weekly heart monitoring and 3 months of daily waking actigraphy data were collected. Improvement or nonimprovement status was assessed using semistructured interviews at the 6-month follow-up.
RESULTS: A total of 148 individuals (87.2% female) were enrolled, and 12.2% were lost to follow-up. Participants reporting nonimprovement ( n = 92), as compared with improvement ( n = 38), showed greater autonomic dysfunction (lower heart rate variability, group difference = 5.93 [SE = 2.73] milliseconds; 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 nonimprovement 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.Trial Registration:ClinicalTrials.gov ID: NCT02948556.
Copyright © 2022 by the American Psychosomatic Society.

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Year:  2022        PMID: 35420586      PMCID: PMC9271593          DOI: 10.1097/PSY.0000000000001082

Source DB:  PubMed          Journal:  Psychosom Med        ISSN: 0033-3174            Impact factor:   3.864


  49 in total

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Review 2.  Large-scale analysis of test-retest reliabilities of self-regulation measures.

Authors:  A Zeynep Enkavi; Ian W Eisenberg; Patrick G Bissett; Gina L Mazza; David P MacKinnon; Lisa A Marsch; Russell A Poldrack
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3.  Symptom fluctuations and daily physical activity in patients with chronic fatigue syndrome: a case-control study.

Authors:  Mira Meeus; Inge van Eupen; Ellen van Baarle; Valérie De Boeck; Anke Luyckx; Daphne Kos; Jo Nijs
Journal:  Arch Phys Med Rehabil       Date:  2011-11       Impact factor: 3.966

4.  The chronic fatigue syndrome: a comprehensive approach to its definition and study. International Chronic Fatigue Syndrome Study Group.

Authors:  K Fukuda; S E Straus; I Hickie; M C Sharpe; J G Dobbins; A Komaroff
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5.  Impacts of illness and disability on the well-being of older people.

Authors:  H Kendig; C J Browning; A E Young
Journal:  Disabil Rehabil       Date:  2000 Jan 10-20       Impact factor: 3.033

6.  The Range of Impaired Functioning Tool (LIFE-RIFT): a brief measure of functional impairment.

Authors:  A C Leon; D A Solomon; T I Mueller; C L Turvey; J Endicott; M B Keller
Journal:  Psychol Med       Date:  1999-07       Impact factor: 7.723

Review 7.  A quantitative systematic review of normal values for short-term heart rate variability in healthy adults.

Authors:  David Nunan; Gavin R H Sandercock; David A Brodie
Journal:  Pacing Clin Electrophysiol       Date:  2010-11       Impact factor: 1.976

8.  Ambulatory monitoring of physical activity and symptoms in fibromyalgia and chronic fatigue syndrome.

Authors:  Willem J Kop; Angela Lyden; Ali A Berlin; Kirsten Ambrose; Cara Olsen; Richard H Gracely; David A Williams; Daniel J Clauw
Journal:  Arthritis Rheum       Date:  2005-01

9.  Participant attributions for global change ratings in unexplained chronic fatigue and chronic fatigue syndrome.

Authors:  Fred Friedberg; Janna Coronel; Viktoria Seva; Jenna L Adamowicz; Anthony Napoli
Journal:  J Health Psychol       Date:  2014-06-08

10.  Reduced heart rate variability predicts fatigue severity in individuals with chronic fatigue syndrome/myalgic encephalomyelitis.

Authors:  Rosa María Escorihuela; Lluís Capdevila; Juan Ramos Castro; María Cleofé Zaragozà; Sara Maurel; José Alegre; Jesús Castro-Marrero
Journal:  J Transl Med       Date:  2020-01-06       Impact factor: 5.531

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