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Record W2114258630 · doi:10.1017/s1352465811000646

Chronic Pain in Older Adults: A Controlled Pilot Trial of a Brief Cognitive-Behavioural Group Treatment

2011· article· en· W2114258630 on OpenAlexaff
Gerhard Andersson, Carina B. Johansson, Annette Nordlander, Gordon J. G. Asmundson

Bibliographic record

VenueBehavioural and Cognitive Psychotherapy · 2011
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsChronic painMoodAnxietyQuality of life (healthcare)Randomized controlled trialCognitionRelaxation (psychology)Physical therapyCognitive therapyPsychologyPain catastrophizingClinical psychologyMedicinePsychiatryPsychotherapistInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic pain is a common condition among older adults. While cognitive behaviour therapy (CBT) has been tested in numerous studies on adults and children there are fewer studies on older persons. The objective of this study was to investigate the effects of a six-session CBT group treatment for older persons with chronic pain. As a secondary aim we investigated whether treatment credibility was associated with outcome. METHOD: We included 21 persons (mean age = 72.0 years) who were randomly allocated to either a waitlist condition or treatment consisting of applied relaxation, with the addition of problem solving, assertiveness, communication strategies, sleep management, and relapse prevention. RESULTS: Few statistically significant effects were found on measures of pain, mood, anxiety, and quality of life; however, a significant treatment effect with a between group effect size of d = 1.0 was observed with respect to perceived ability to function despite the discomfort of pain. CONCLUSION: The study provides some preliminary support for the use of group-based CBT with a focus on applied relaxation for older adults with chronic pain.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.038
GPT teacher head0.305
Teacher spread0.268 · 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 designNon-randomized trial
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

Citations36
Published2011
Admission routes1
Has abstractyes

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