Evidence map›Paper›PMID 41726839›Full record

ArticleFrontiers in psychiatry2026

The effect of clinical and psychosocial factors on quality of life in COPD: a cross-sectional assessment using a mediation analysis approach.

Selda Günaydın, Meltem Hazel Şimşek, Şaban Melih Şimşek

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. 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

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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. Observational
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

3 authors.

Selda GünaydınDepartment of Chest Diseases, Faculty of Medicine, Giresun University, Giresun, Türkiye.
Meltem Hazel ŞimşekDepartment of Psychiatry, Faculty of Medicine, Giresun University, Giresun, Türkiye.
Şaban Melih ŞimşekDepartment of Chest Diseases, Faculty of Medicine, Giresun University, Giresun, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to examine the relative contributions of clinical severity indicators and psychosocial factors-including depression, anxiety, stress, emotion regulation difficulties, and perceived social support-on quality of life in patients with Chronic Obstructive Pulmonary Disease (COPD), and to test their mediating mechanisms within an integrated model. Methods: A total of 120 patients with COPD were assessed using spirometry, dyspnea, and symptom severity measures (mMRC, CAT), psychological assessments (DASS-21, DERS-16, MSPSS), and the WHOQOL-BREF. Mediation models using the PROCESS macro (Model 4) for SPSS were applied to evaluate the pathways linking clinical severity and psychosocial factors to quality-of-life domains. Results: Among 120 participants diagnosed with COPD, disease stages were found to be GOLD A: 25.8%, GOLD B: 35.8%, and GOLD E: 38.3%. Clinical severity measures (CAT, mMRC) were moderately correlated with both psychological symptoms and emotion-regulation difficulties (p < 0.05). CAT had a significant indirect adverse effect on physical quality of life via emotion regulation difficulties [b = -0.174, 95% CI (-0.303, -0.069)]. Perceived social support positively predicted physical quality of life via lower depressive symptoms (b = 0.52, 95% CI (0.06, 1.10)). Stress was indirectly associated with poorer psychological quality of life through reduced social support [b = -0.191, 95% CI (-0.363, -0.042)]. Conclusion: Psychosocial mechanisms substantially contribute to quality-of-life impairment in COPD and operate alongside traditional clinical indicators. Emotion-regulation difficulties and social support emerge as key psychological pathways linking symptom severity and quality-of-life outcomes, suggesting that comprehensive COPD management should integrate psychosocial intervention strategies.

Indexed as

chronic obstructive pulmonary disease (COPD)emotion regulationmediation analysisperceived social supportpsychosocial variablesquality of life

Identifiers

PMID41726839
PMCPMC12921485

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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 Socratic graph.