Evidence map›Paper›PMID 35640499›Full record

ArticleSleep medicine2022

Pain-related beliefs about sleep as a predictor of insomnia symptoms and treatment acceptability.

Scott G Ravyts, Elliottnell Perez, Joseph M Dzierzewski

Abstract read
In one paragraph

Article in Sleep medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Scott G RavytsVirginia Commonwealth University, Department of Psychology, United States.
Elliottnell PerezVirginia Commonwealth University, Department of Psychology, United States.
Joseph M DzierzewskiVirginia Commonwealth University, Department of Psychology, United States. Electronic address: dzierzewski@vcu.edu.

Funding

Cognitive and inflammatory consequences of sleep disorders in older adultsK23AG049955 · NIA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DZIERZEWSKI, JOSEPH MICHAEL · 2016 to 2020
$794k
NIA NIH HHS K23 AG049955
6 · The paper itself

Abstract

objectiveDysfunctional beliefs about sleep and pain are common among individuals experiencing recurrent pain and may inadvertently maintain insomnia symptoms. Thus, the present study sought to determine the level at which pain-related beliefs about sleep may predict insomnia and assess whether pain-related beliefs about sleep predict attitudes towards insomnia treatment above other known factors. PATIENTS/

methodsData consisted of 999 individuals (M age = 44.18, 45.75% male) who participated in an online study about sleep and health across the lifespan. Beliefs about sleep and pain were measured via the pain-related beliefs and attitudes scale (PBAS) while insomnia and pain were assessed using the insomnia severity index (ISI) and a visual analogy scale, respectively. Attitudes towards insomnia treatment was measured using the insomnia treatment acceptability scale (ITAS). RESULTS AND

conclusionA score of 6.10 out of 10 on PBAS optimized sensitivity (66.40%) and specificity (66.90%) for insomnia classification. Pain-related beliefs about sleep predicted treatment acceptability of both behavioral (β = .46, p <. 001) and pharmacological treatments (β = 0.50, p < .001) over and above insomnia symptoms, pain severity, or sleep-self efficacy. Results underscore the importance of cognitive-behavioral factors as it relates to insomnia among individuals with comorbid pain and are relevant to the developments of models which seek to understand attitudes towards insomnia treatment.

Indexed as

Sleep Initiation and Maintenance DisordersComorbidityFemaleHumansMalePainSleepDysfunctional beliefsInsomniaRecurrent painTreatment acceptability

Identifiers

PMID35640499
PMCPMC9205612

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.