ArticleCancer management and research2025
The Chain Mediating Role of Hope and Posttraumatic Growth Between Social Support and Psychological Distress Among Lung Cancer Patients.
Article in Cancer management and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- From rumination quagmire to hope's flame: a cross-sectional mediation study of family support and life satisfaction among hematological cancer caregivers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This research was designed to explore whether hope and posttraumatic growth (PTG) played a mediating role between social support and psychological distress in patients diagnosed with lung cancer. Patients and Methods: A hospital-based cross-sectional study was carried out on 502 lung cancer patients. From September 2023 to April 2024, participants were recruited via convenience sampling from one tertiary cancer hospital and two tertiary general hospitals in Chongqing, China. Patients completed questionnaires on demographics, medical information, Distress thermometer, Perceived Social Support Scale, Posttraumatic Growth Inventory, and Herth Hope Index. Statistical analyses included Pearson's chi-squared test or Fisher's exact test for differences in patient characteristics by psychological distress level. Pearson correlation analysis explored relationships among variables. Bootstrapping in structural equation modeling (SEM) evaluated structural paths, and multi-group SEM analysis tested the moderating effect of gender. Results: 43.6% (219/502) of lung cancer patients experience psychological distress. After controlling for cancer stage and distant metastasis, the results suggested that social support had a negative direct effect on psychological distress. In addition, social support could also influence psychological distress via three pathways: (1) the mediating effect of hope, (2) the mediating effect of PTG, and (3) the serial mediating effect of hope and PTG. The indirect effect of the three intermediary paths accounted for 72.7% of the total effect. Gender moderated the effect of social support on PTG ( Conclusion: This study found that lung cancer patients exhibit high levels of psychological distress. Social support directly impacts psychological distress and acts through multiple pathways: the mediating effects of hope and PTG, as well as their serial mediation. These findings deepen our understanding of how social support affects psychological distress in lung cancer patients and its underlying mechanisms, providing empirical support for developing interventions to alleviate distress.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.