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Record W2800196124 · doi:10.1093/sleep/zsy061.909

0910 Sleep-pain Behaviors Predict Insomnia, Pain, and Physical Function over One Year Following Total Knee Arthroplasty in Individuals with Knee Osteoarthritis

2018· article· en· W2800196124 on OpenAlexaboutno aff
Abbey J. Hughes, JD Richards, C. M. Campbell, Jennifer A. Haythornthwaite, Robert R. Edwards, Michael T. Smith

Bibliographic record

VenueSLEEP · 2018
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsWOMACOsteoarthritisActigraphyPhysical therapyBrief Pain InventoryInsomniaSleep onsetSleep onset latencyMedicinePsychologyPhysical medicine and rehabilitationChronic painPsychiatry

Abstract

fetched live from OpenAlex

Cognitive behavioral theory for insomnia posits that maladaptive efforts to cope with pain, such as retiring to the bed/bedroom when in pain and taking extra pain medications to promote sleep, paradoxically contribute to persistent insomnia, a known risk factor for pain chronification. The present study evaluated sleep-pain behaviors and their concurrent and longitudinal associations with insomnia, pain, and physical function in individuals with knee osteoarthritis (KOA) undergoing total knee arthroplasty (TKA). Secondary analyses examined insomnia as a mediator between sleep-pain behaviors and functional outcomes. Participants were 109 individuals (Age: M=63.9; SD=8.8; 54% female) with KOA scheduled to undergo TKA. Measures were collected at baseline and at 6 (n=73), 13 (n=73), 26 (n=87), and 52 (n=107) weeks following TKA. Measures included: the 3-item Sleep-Pain Behaviors Survey (SPBS); the Insomnia Severity Index (ISI); actigraphy (sleep onset latency [SOL], sleep efficiency [SE%], wake after sleep onset [WASO], and total sleep time [TST]); the Brief Pain Inventory (BPI); and the Physical Function subscale from the Western Ontario & McMaster Universities Osteoarthritis Index (WOMAC). Analyses used linear mixed-effects regression analyses, controlling for time, concurrent depression, and concurrent levels of each outcome. Beyond its concurrent association with ISI (B=1.12, p<.001), WASO (B=2.50, p=.02), BPI (B=0.32, p<.001), and WOMAC (B=3.39, p<.001), the SPBS was a longitudinal predictor of ISI (B=0.42, p=.03), SOL (B=3.19, p=.04), BPI (B=0.16, p<.01), and WOMAC (B=1.71, p<.01). ISI significantly mediated the relationship between SPBS and both pain (BPI: concurrent 95% CI [0.04, 0.11]; longitudinal: 95% CI [0.01, 0.07]) and physical function (WOMAC: concurrent 95% CI [0.52, 1.36]; longitudinal 95% CI: [.04,0.74]). For individuals with KOA, behavioral interventions focused on reducing sleep-pain behaviors may offer the potential to reduce insomnia, thereby improving pain and physical function outcomes following TKR. R01AG034982 (PI: RR Edwards).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.230
Teacher spread0.225 · 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 teacher head, not a consensus.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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