{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T06:20:20Z","timestamp":1783059620041,"version":"3.54.6"},"reference-count":48,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:00:00Z","timestamp":1783036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Oncol."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>LPA identified two distinct latent profiles: The \u201cUncertain Maintenance-Low Self-Efficacy\u201d group (34.68%): Characterized by high scores on the Uncertain Maintenance dimension of RRTW and low levels of RTW-SE. The \u201cProactive Maintenance-High Self-Efficacy\u201d 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\u20138 hours (odds ratio [OR] = 2.303, 95% confidence interval [CI]: 1.058-5.015), older age (OR\u00a0=\u00a01.062, 95% CI: 1.003-1.125), and higher work satisfaction (OR\u00a0=\u00a02.078, 95% CI: 1.319-3.271) were significantly associated with belonging to the high self-efficacy profile (all P &amp;lt; 0.05).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fonc.2026.1755456","type":"journal-article","created":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T05:39:28Z","timestamp":1783057168000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Potential profile analysis of return-to-work readiness and self-efficacy in postoperative breast cancer patients who have returned to work"],"prefix":"10.3389","volume":"16","author":[{"given":"Qiu","family":"Huo","sequence":"first","affiliation":[{"name":"West China School of Public Health and West China Fourth Hospital, Sichuan University","place":["Chengdu, 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