Evidence map›Paper›PMID 40896755›Full record

ArticleAsia-Pacific journal of oncology nursing2025

Profiles of resilience and patient activation among patients with colorectal cancer and an enterostomy: A latent profile analysis.

Jiayi Su, Xiaoyu Liu, Xiaolian Deng, Hua Zhang, Xia Li, Li Yuan, Aixin Zhou

Abstract read
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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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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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

7 authors.

Jiayi SuDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaoyu LiuGastrointestinal Cancer Center, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Xiaolian DengGastrocolorectoanal Surgery, Daping Hospital, Third Military Medical University, Chongqing, China.
Hua ZhangDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xia LiDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Li YuanDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Aixin ZhouDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to identify the latent profiles of resilience among patients with colorectal cancer and an enterostomy, analyze potential influencing factors, and explore the differences in patient activation across different profiles. Methods: This cross-sectional study recruited a total of 375 patients with colorectal cancer and an enterostomy from three large public hospitals in Chongqing, China, between August 2024 and January 2025 using convenience sampling. Questionnaires used include sociodemographic information, a 10-item Connor-Davidson Resilience Scale, and a Patient Activation Measure. Latent profile analysis, univariate analysis, and multiple logistic regression analysis were used to explore resilience profiles and identify interindividual variability. Additionally, one-way analysis of variance (ANOVA) and the least significant difference (LSD) method were applied to analyze multiple comparisons between resilience profiles and patient activation. Results: Following data analyses, the resilience was categorized into three latent profiles: the low resilience-pressure sensitive group (25.8%), moderate resilience-balanced group (38.4%), and high resilience-growth consolidation group (35.8%). Gender, medical insurance types, per capita monthly household income, stoma-related complications, and the duration of stoma establishment were identified as predictors of the participants' latent profiles of resilience. Additionally, significant differences in patient activation levels were observed across the three profiles. Conclusions: Resilience in colorectal cancer patients with enterostomy exhibits significant individual variability and is influenced by multiple factors. Health care professionals should focus more on patients with lower resilience and develop targeted, personalized strategies as early as possible. Addressing these differences may offer new insights for improving patient activation.

Indexed as

Colorectal cancerEnterostomyLatent profile analysisPatient activationResilience

Identifiers

PMID40896755
PMCPMC12395505

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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.