Evidence map›Paper›PMID 41816759›Full record

ArticleGlobal mental health (Cambridge, England)2026

Pain catastrophizing as a mediator of the relationship between pain intensity and depression: Evidence from chronic pain patients in Gaza.

Abdallah AbuJlambo, Maha AbuZarifa, Rasha Alsaadawi, Yara Ashour, Hanne Lossius, Guido Veronese

Abstract read
In one paragraph

Article in Global mental health (Cambridge, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Abdallah AbuJlamboICU, Al-Shifa Hospital, Palestinian Territory, Occupied.
Maha AbuZarifaAl-Quds University, Al-Azhar Branch, Palestinian Territory, Occupied.ORCID https://orcid.org/0000-0003-3637-6221
Rasha AlsaadawiDepartment of Biostatistics, Virginia Commonwealth University, USA.
Yara AshourAl-Quds University, Palestinian Territory, Occupied.
Hanne LossiusDepartment of anaesthesia and intensive care, Haukeland University Hospital, Norway.
Guido VeroneseUniversità degli Studi di Milano-Bicocca, Italy.ORCID https://orcid.org/0000-0001-9681-8883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic pain represents a major global public health issue. It is associated with wide-ranging psychosocial consequences. Extensive evidence has demonstrated that pain catastrophizing (PC) contributes to the bidirectional association between chronic pain and psychological distress. The present study aims to explore the psychological and cognitive correlates of chronic pain among individuals living in Gaza. Methods: A cross-sectional study was conducted among 272 adults with chronic musculoskeletal pain. Spearman's correlations assessed associations between pain intensity, catastrophizing and depressive symptoms. Multiple regression and bootstrapped mediation analyses (5,000 resamples and PROCESS macro) evaluated predictors and the mediating role of catastrophizing in the pain-depression relationship. Results: Pain intensity was positively correlated with depression ( Conclusion: PC is a key psychological mechanism linking pain intensity and depression among patients with chronic pain in Gaza. Integrating cognitive-behavioral therapy, mindfulness and emotion regulation strategies into pain management may improve mental health outcomes in conflict-affected settings.

Indexed as

chronic paindepressive symptomsmediation analysispain catastrophizingpain intensity

Identifiers

PMID41816759
PMCPMC12973239

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.