Evidence map›Paper›PMID 41210323›Full record

ArticleAsia-Pacific journal of oncology nursing2025

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

Wencan Cheng, Shihao Sun, Jia Fang, Ni Zhang, Yiheng Zhang, Baoyi Zhang, Ye Zhang, Meifen Zhang

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wencan ChengSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Shihao SunSun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Jia FangSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Ni ZhangSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Yiheng ZhangSchool of Nursing, Jinan University, Guangzhou, China.
Baoyi ZhangSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Ye ZhangSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Meifen ZhangSchool of Nursing, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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: Three distinct phenotypes were identified: "Resilient-Latent Anxious-Somatic" (Class 1, 27%), "Anxious-Somatic Dominant" (Class 2, 51%), and "Anxious-Somatic with Financial Toxicity" (Class 3, 22%). Low resilience level (odds ratio [ 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.

Indexed as

Breast cancerLatent profile analysisPsychosocial distressResilience

Identifiers

PMID41210323
PMCPMC12589907

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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.