ArticleFrontiers in psychology2024
Benefit finding in individuals undergoing maintenance hemodialysis in Shanghai: a latent profile analysis.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Observational
- Latent profile analysis of oral health self-efficacy in maintenance hemodialysis patients and its impact on oral health.Frontiers in public health · 2026Article
- Tracing the dynamic interplay of benefit finding, self-management efficacy, and social support in gynecological cancer patients: a longitudinal study.Scientific reports · 2025Article
- Quality of life experience in physically frail people on renal dialysis: A qualitative meta-synthesis on the difficulties and resources for better health care.International journal of nursing sciences · 2025Review
- Heterogeneity of benefit finding in maintenance hemodialysis patients: a decision tree-based subgroup analysis of self-efficacy and social support.Frontiers in psychiatry · 2025Article
- Self-perceived burden in elderly patients with chronic co-morbidities: a latent profile analysis.Frontiers in psychology · 2025Article
- Development and feasibility pilot study of positive psychological intervention for maintenance hemodialysis patients in China.Frontiers in psychology · 2025Article
- Development and validation of a social alienation predictive model for older maintenance hemodialysis patients based on latent profile analysis-a cross-sectional study.BMC geriatrics · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This multi-center cross-sectional study aimed to delineate latent profiles of benefit finding (BF) in individuals undergoing maintenance hemodialysis (MHD) in Shanghai and examine associations between these BF profiles, social support, and coping style. Methods: A total of 384 individuals undergoing MHD (mean age = 57.90, SD = 13.36) were assessed using the Benefit Finding Scale, Simplified Coping Style Questionnaire, and Perceived Social Support Scale. Latent profile analysis (LPA) identified distinct BF categories. Analysis of variance (ANOVA) evaluated the correlation between BF groups and demographic variables, while the relationship between BF, social support, and coping style was tested through correlation and multiple regression analyses. Results: LPA identified three BF groups: rich BF (54.17%), moderate BF (41.14%), and poor BF (4.69%). Regression analyses indicated that positive coping and social support are protective factors for BF. Additionally, older age and heightened understanding of MHD correlated with higher BF levels. Conclusion: The findings highlighted the importance of recognizing different BF profiles in individuals on MHD and working toward promoting BF levels in the rich BF and moderate BF groups, while helping the poor BF group to identify and address their challenges. Medical professionals should consider interventions tailored to individual psychological profiles to improve mental health and quality of life outcomes in this population.
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