Identifying psychosocial distress phenotypes in postoperative patients with breast cancer: A latent profile analysis

作者：Wencan Cheng, Shihao Sun, Jia Fang, Ni Zhang, Yiheng Zhang, Baoyi Zhang, Ye Zhang, Meifen Zhang · 发表于：Asia-Pacific Journal of Oncology Nursing · 年份：2025 · DOI：10.1016/j.apjon.2025.100792 · 被引用次数：2 · 研究领域：Cancer survivorship and care、Music Therapy and Health、Patient Dignity and Privacy

Objective: This study aimed to identify psychosocial distress phenotypes in postoperative patients with breast cancer and explore influencing factors. Methods: A total of 210 patients were recruited from a general hospital in Guangzhou, China, between November 2022 and July 2023. Data were collected through a general information questionnaire, the Psychosocial Distress Questionnaire-Breast Cancer, and the Connor-Davidson Resilience Scale. Latent profile analysis was conducted to identify psychosocial distress phenotypes, followed by multinomial logistic regression to determine associated factors. Results: 0.033). Conclusions: Psychosocial distress among postoperative patients with breast cancer is heterogeneous, manifesting in three phenotypes shaped by diverse factors. Early identification of patients by phenotype and implementation of group-level interventions tailored to phenotype-specific characteristics are essential for mitigating psychosocial distress.