ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024
Patterns and predictors of symptom burden and posttraumatic growth among patients with cancer: a latent profile analysis.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Post-Traumatic Growth in Esophageal Cancer Patients: A Latent Profile Analysis for Targeted Psychosocial Care.Patient preference and adherence · 2026Article
- Dual Mediating and Moderating Roles of Hope in the Association Between Marital Satisfaction and Post-Traumatic Growth Among Chinese Breast Cancer Patients: A Latent Profile Analysis.Psychology research and behavior management · 2026Article
- Article
- Latent profiles of post-traumatic growth in patients with recent hysterectomy: psychosocial predictors and stigma-associated outcomes.Frontiers in psychiatry · 2025Article
- Patterns and predictors of post-traumatic growth and fear of disease progression in breast cancer patients: a latent profile analysis.Frontiers in psychiatry · 2025Article
- Latent profile analysis of family adaptation in breast cancer patients-cross-sectional study.Scientific reports · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe study identified different patterns of symptom burden and posttraumatic growth (PTG) among patients with cancer and to explored the effects of sociodemographic, disease-related, and family resilience factors, which could provide reference for the development of personalized nursing measures.
methodsA questionnaire survey was conducted with 329 patients with cancer who were undergoing treatment. Latent profile analysis (LPA) was used to explore the patterns of symptom burden and PTG among patients with cancer, and multiple logistic regression analysis was used to explore the influencing factors of different patterns.
resultsBased on the fit indicators of LPA, a three-class pattern model of posttraumatic responses was shown to be optimal, including resisting, struggling, and growth groups. In the resisting group (34.34%), patients reported low symptom burden and low PTG; in the struggling group (19.15%), patients showed a high symptom burden and moderate PTG; in the growth group (46.51%), patients showed low symptom burden and high PTG. Moreover, patients with cancer with high levels of family resilience were more likely to fall into the struggling and growth groups. Specifically, those with lower scores in the optimistic attitude and higher scores in the family and social support dimension of family resilience were more likely to fall into the struggling group, whereas those with lower scores in the transcendence and spiritual belief dimensions of family resilience were more likely to fall into the resisting group. Additionally, patients with at least three children were more likely to fall into the struggling group.
conclusionsThis study showed heterogeneity in symptom burden and PTG patterns among patients with cancer. Patients' growth must include both psychological growth and the mitigated symptom burden. Family factors may be intervention targets to improve the growth patterns.
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