Evidence map›Paper›PMID 42491007›Full record

ArticleFrontiers in oncology2026

Potential profile analysis of return-to-work readiness and self-efficacy in postoperative breast cancer patients who have returned to work.

Qiu Huo, Shiqi Li, Yunxia Pu, Ying Huang, Huizhuo Deng

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Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qiu HuoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Shiqi LiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yunxia PuDepartment of Biotherapy Research, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ying HuangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Huizhuo DengWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify the latent profiles of return-to-work readiness (RRTW) and return-to-work self-efficacy (RTW-SE) among postoperative breast cancer patients who have returned to work, and to analyze their influencing factors, thereby providing a basis for improving their work-related quality of life. Methods: A cross-sectional study was conducted using convenience sampling to recruit 173 breast cancer patients from a tertiary Grade A hospital in Chengdu, China. All participants had returned to work for at least 3 months post-surgery. Data were collected using a general information questionnaire, the 9-item Franche RRTW Scale, and the 11-item Lagerveld RTW-SE Scale. Latent profile analysis (LPA) was employed to identify distinct subgroups, and logistic regression analysis was used to examine the influencing factors. Results: LPA identified two distinct latent profiles: The "Uncertain Maintenance-Low Self-Efficacy" group (34.68%): Characterized by high scores on the Uncertain Maintenance dimension of RRTW and low levels of RTW-SE. The "Proactive Maintenance-High Self-Efficacy" group (65.32%): Characterized by high scores on the Proactive Maintenance dimension of RRTW and high levels of RTW-SE. Multivariate logistic regression analysis revealed that a daily working time of 6-8 hours (odds ratio [OR] = 2.303, 95% confidence interval [CI]: 1.058-5.015), older age (OR = 1.062, 95% CI: 1.003-1.125), and higher work satisfaction (OR = 2.078, 95% CI: 1.319-3.271) were significantly associated with belonging to the high self-efficacy profile (all P < 0.05). Conclusion: Postoperative breast cancer patients who have returned to work exhibit significant heterogeneity in their RRTW and RTW-SE profiles. Targeted intervention strategies are necessary for younger patients, those with longer working hours, and those with lower job satisfaction. Optimizing work schedules, enhancing job satisfaction, and providing enhanced psychological support for younger patients are recommended to facilitate better work adaptation.

Indexed as

influencing factorslatent profile analysispostoperative breast cancerreturn-to-work readinessreturn-to-work self-efficacy

Identifiers

PMID42491007
PMCPMC13375969

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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.