Evidence map›Paper›PMID 37546481›Full record

ArticleFrontiers in psychology2023

Do both the research community and the general public share an interest in the sleep-pain relationship, and do they influence each other?

Tor Arnison, Xiang Zhao

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Tor ArnisonClinical Epidemiology and Biostatistics, Faculty of Medicine and Health, School of Medical Sciences, Örebro University, Örebro, Sweden.
Xiang ZhaoUnit of Psychology, School of Behavioural, Social and Legal Sciences, Örebro University, Örebro, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic pain and sleep disturbance bidirectionally influence each other in a negative spiral. Although this academic knowledge is known by researchers, it is imperative to bridge it over to the general public because of its applied implications. However, it is unclear how academia and the general public reciprocally shape each other in terms of knowledge of the sleep-pain relationship. The purpose of this study was (1) to assess the longitudinal trajectories of research on the sleep-pain relationship and the general public's interest in this topic and (2) to examine whether the academic interest leads to the general public's interest, or vice versa. Methods: We used a Big Data approach to gather data from scientific databases and a public search engine. We then transformed these data into time trends, representing the quantity of published research on, and the general public's interest in, the sleep-pain relationship. The time trends were visually presented and analyzed Results: The frequency of both published articles and searches soared after 2004. Published research leads to an increased interest in the sleep-pain relationship among the general public but does not predict more published articles. Furthermore, the general public's interest reinforces itself over time but does not predict published research. Conclusion: These results are encouraging because it is essential for research on the sleep-pain relationship to reach a broader audience, beyond the walls of academia. However, to prevent a potential alienation between academic and practical knowledge, we encourage openness among researchers to being inspired by the general public's knowledge of the sleep-pain relationship.

Indexed as

Big DataGoogle searchespainpublic interestpublished researchsleep

Identifiers

PMID37546481
PMCPMC10400902

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.