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Record W2345034130 · doi:10.14288/1.0091905

Relations between illness perceptions, coping, social support, and outcomes in the Chronic Fatigue Syndrome

2009· article· en· W2345034130 on OpenAlexaff
Kenna Marie Sleigh

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChronic fatigue syndromeCoping (psychology)Social supportPsychologyPerceptionClinical psychologyMedicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Chronic fatigue syndrome (CFS) is a disorder of unknown etiology characterized by fatigue, flu-like symptoms, and neurocognitive complaints. Due to the severe impairment associated with the illness patients are often unable to work and must rely on disability income. Few patients recover spontaneously although a sizeable proportion has reported improvement. Since no definitive treatment is available for CFS, it is essential to identify effective ways for patients to adjust to the illness. The purpose of the study was to describe how patients adapt to CFS. A sample of 100 patients diagnosed medically with CFS and meeting the Centers for Disease Control and Prevention (CDC) case definition were recruited primarily from the practices of two hospital-based internists. The respondents were screened for psychiatric conditions and completed a battery of questionnaires at four time points over a 21-month period. Guided by Leventhal's self-regulatory model, multiple regression analyses and ANOVA were utilized to assess the relations between respondents' illness representations, self-management strategies (coping and social support), perceived efficacy of self-management, and outcomes including functioning, psychological distress, and health care utilization. Analyses revealed pessimistic illness representations and coping characterized by catastrophizing, focusing on symptoms, avoidance, and venting predicted unfavorable outcomes. On the other hand, optimistic perceptions and coping by accommodating to the illness, approach strategies, and social support predicted favorable outcomes. Moreover, in addition to the direct associations between illness representations and outcomes, representations were also related to coping. Pessimistic representations predicted maladaptive coping (strategies that predicted unfavorable outcomes) and optimistic perceptions predicted adaptive coping (strategies that predicted favorable outcomes). Coping frequency was a better predictor of outcomes than perceptions of coping efficacy save for physical functioning. To examine change, analyses of differences within and between groups were conducted. When the sample was stratified into short (ill four years) and long illness duration groups (ill four years or more) the long duration group reported fewer health care visits. As a whole the respondents experienced little change in outcomes over a 21-month period but stratification demonstrated that the short illness duration group evidenced a small but statistically significant improvement in physical functioning while the long illness duration group reported less vitality. Coping and social support efficacy decreased over time although for the most part the frequency of self-management behaviors was quite stable. The implications of the study results for the management of CFS and future research were discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.255
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

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