Evidence map›Paper›PMID 39726659›Full record

ArticleFrontiers in public health2024

Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional survey.

Kenta Wakaizumi, Chisato Tanaka, Yuta Shinohara, Yihuan Wu, Saki Takaoka, Morihiko Kawate, Hiroyuki Oka, Ko Matsudaira

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. 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

8 authors.

Kenta WakaizumiDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, Japan.
Chisato TanakaDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, Japan.
Yuta ShinoharaDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, Japan.
Yihuan WuDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, Japan.
Saki TakaokaDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, Japan.
Morihiko KawateDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, Japan.
Hiroyuki OkaDivision of Musculoskeletal AI System Development, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Ko MatsudairaDepartment of Pain Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A geographical analysis could be employed to uncover social risk factors and interventions linked to chronic pain. Nonetheless, geographical variation in chronic pain across different regions of Japan have not been well explored. This study aims to investigate geographical variation in high-impact chronic pain (HICP), defined as moderate to severe chronic pain, and examine the associated psychological factors at the prefecture level. Methods: A cross-sectional Internet-based survey involving 52,353 participants was conducted to assess chronic pain conditions, stress levels, mood states, educational levels, living status, regions, sleep duration, and exercise habits. A geographical analysis evaluated the prevalence of HICP at the prefecture level, and a multilevel analysis explored the risk factors for HICP at both individual and prefecture levels. Results: The geographical analysis revealed that Fukushima exhibited the highest HICP prevalence (23.2%; Conclusion: There are regional differences in HICP prevalence, and at the prefecture level, subjective stress and vigor are associated with HICP.

Indexed as

Chronic PainInternetMultilevel AnalysisAdultAgedCross-Sectional StudiesFemaleHumansJapanMaleMiddle AgedPrevalenceRisk FactorsStress, PsychologicalSurveys and Questionnairesgeographical variationhigh impact chronic painmultilevel analysisprofile of mood statessubjective stress

Identifiers

PMID39726659
PMCPMC11669661

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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.