Abstract
Purpose
The 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.
Methods
A 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.
Results
Based 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.
Conclusions
This 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.