Evidence map›Paper›PMID 30688480›Full record

ArticleRehabilitation psychology2019

Personal resource profiles of individuals with chronic pain: Sociodemographic and pain interference differences.

Chung Jung Mun, Mary C Davis, Ivan R Molton, Paul Karoly, Hye Won Suk, Dawn M Ehde, Howard Tennen, Robert D Kerns, Mark P Jensen

Abstract read
In one paragraph

Article in Rehabilitation psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Chung Jung MunDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine.
Mary C DavisDepartment of Psychology, Arizona State University.
Ivan R MoltonDepartment of Rehabilitation Medicine, University of Washington.
Paul KarolyDepartment of Psychology, Arizona State University.
Hye Won SukDepartment of Psychology, Sogang University.
Dawn M EhdeDepartment of Rehabilitation Medicine, University of Washington.ORCID 0000-0002-9555-2347
Howard TennenDepartment of Community Medicine, University of Connecticut School of Medicine.
Robert D KernsDepartment of Psychiatry, Yale University.
Mark P JensenDepartment of Rehabilitation Medicine, University of Washington.

Funding

Interdisciplinary Training in Biobehavioral Pain ResearchT32NS070201 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DONG, XINZHONG, SMITH, MICHAEL T · 2010 to 2024
$3.6M
Fibromyalgia: Interventions for pain and mood regulationR01AR053245 · NIAMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI DAVIS, MARY COLLEEN · 2007 to 2012
$2.9M
National Institute on Disability and Rehabilitation ResearchNIAMS NIH HHS R01 AR053245NINDS NIH HHS T32 NS070201
6 · The paper itself

Abstract

PURPOSE/

objectivePrevious studies have demonstrated important associations between personal resources and pain interference. Using latent profile analysis, the present study (a) identified subgroups of individuals with chronic pain who have different personal resource profiles; (b) explored sociodemographic differences among subgroups; and (c) examined how these subgroups differ in pain interference. Research Method/Design: Study 1 is based on daily diary and survey data from 220 individuals with fibromyalgia (FM). Study 2 is based on 4 annual surveys of 483 individuals with long-term neurological/neuromuscular disease or injury, and chronic pain. Modifiable personal resource variables including sense of resilience, social support, pain acceptance, and sleep quality were included in latent profile analyses.

resultsThree subgroups were identified in both studies: High, Moderate, and Low Personal Resource groups. In both studies, annual income level was significantly different among subgroups. Study 1 results showed a significant between-groups difference in pain interference across 21-days only between High and Moderate Personal Resource groups controlling for the level of pain intensity and depressive symptoms. In Study 2, however, all subgroups were significantly different with respect to their levels of pain interference at baseline over and above various covariates, with the Low Personal Resource group reporting the highest level of pain interference at baseline. These baseline differences remained stable over 4 years. CONCLUSIONS/IMPLICATIONS: The findings suggest a robust association between economic disparity and personal resource profiles among individuals with chronic pain. The role of different personal resource profiles in pain interference appears to differ by chronic pain condition. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

Adaptation, PsychologicalHealth Status DisparitiesResilience, PsychologicalSocial SupportChronic PainDepressive DisorderFemaleHumansMaleMiddle AgedSocioeconomic Factors

Identifiers

PMID30688480
PMCPMC6737933

What OpenQuestion holds

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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.