Evidence map›Paper›PMID 31828692›Full record

ArticleJournal of behavioral medicine2020

The moderating role of pain catastrophizing on the relationship between partner support and pain intensity: a daily diary study in patients with knee osteoarthritis.

Junie S Carriere, Asimina Lazaridou, Marc Olivier Martel, Marise Cornelius, Claudia Campbell, Michael Smith, Jennifer A Haythornthwaite, Robert R Edwards

Abstract read
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Article in Journal of behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

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  10. Osteoarthritis Flares.Clinics in geriatric medicine · 2022
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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

8 authors at 3 institutions in 2 countries.

Junie S CarriereDepartment of Anesthesiology, Brigham and Women's Hospital Pain Management Center, Harvard Medical School, 850 Boylston Street, Chestnut Hill, MA, 02467, USA. jcarriere@bwh.harvard.edu.ORCID 0000-0002-7838-0803
Asimina LazaridouDepartment of Anesthesiology, Brigham and Women's Hospital Pain Management Center, Harvard Medical School, 850 Boylston Street, Chestnut Hill, MA, 02467, USA.
Marc Olivier MartelFaculties of Dentistry and Medicine, McGill University, 3640 University Street, Montreal, QC, H3A 2B2, Canada.
Marise CorneliusDepartment of Anesthesiology, Brigham and Women's Hospital Pain Management Center, Harvard Medical School, 850 Boylston Street, Chestnut Hill, MA, 02467, USA.
Claudia CampbellDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 5510 Nathan Shock Drive, Baltimore, MD, 21224, USA.
Michael SmithDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 5510 Nathan Shock Drive, Baltimore, MD, 21224, USA.
Jennifer A HaythornthwaiteDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 5510 Nathan Shock Drive, Baltimore, MD, 21224, USA.
Robert R EdwardsDepartment of Anesthesiology, Brigham and Women's Hospital Pain Management Center, Harvard Medical School, 850 Boylston Street, Chestnut Hill, MA, 02467, USA.
Brigham and Women's Hospital · USJohns Hopkins University · USMcGill University · CA

Funding

Brain Mechanisms Underlying CBT-Related Reductions in FibromyalgiaR01AR064367 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI EDWARDS, ROBERT R, NAPADOW, VITALY · 2014 to 2018
$4.0M
Biobehavioral Risk Factors for Persistent Pain following Total Knee ArthroplastyR01AG034982 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI EDWARDS, ROBERT R · 2010 to 2014
$3.2M
NIH HHS R01 AG034982NIH HHS R01 AR064367
6 · The paper itself

Abstract

The objective of this study was to examine the day-to-day associations between partner support, pain catastrophizing and pain intensity in individuals with end-stage knee osteoarthritis. In this microlongitudinal cohort study, participants (N = 124) with end-stage knee osteoarthritis completed baseline measures of trait pain catastrophizing and negative affect. Participants also provided daily diary assessments of partner support, pain catastrophizing and pain intensity for a period of 7 days using a personal digital assistant. Multilevel analyses revealed that day-to-day fluctuations in pain catastrophizing were associated with pain intensity. Data from multilevel analyses indicated that the main effect of partner support was not significantly associated with pain intensity. Results also indicated the interactions between partner support and both trait and state pain catastrophizing were significant, suggesting that both trait and state pain catastrophizing moderated the relationship between daily partner support and pain intensity. That is, on days when participants experienced low levels of partner support, high catastrophizers reported higher levels of pain intensity than low catastrophizers. In the presence of higher levels of partner support, pain intensity did not differ between high and low catastrophizers. These results are consistent with the Communal Coping Model of pain catastrophizing, and highlight the interpersonal context within which pain catastrophizing impacts pain outcomes. These findings also suggest that future interventions designed to specifically target the dynamic between pain catastrophizing and partner support may improve pain outcomes in individuals with end-stage knee OA.

Indexed as

CatastrophizationOsteoarthritis, KneeCohort StudiesHumansPainSocial SupportChronic painCommunal coping modelKnee osteoarthritisPain catastrophizingPain intensityPartner support

Identifiers

PMID31828692
OpenAlexW2995938429

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.