Evidence map›Paper›PMID 42118354›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Predictors of return-to-work adaptability in young breast cancer patients: A structural equation model analysis of individual resilience, self-perceived burden, and family resilience.

Cenmin Shi, Mitao Li, Jieying Lv, Qiuzhou Wang, Lan Fu, Lin Tao

Abstract readMulticenter Study
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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 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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5 · Who and what money

Authors and funding

6 authors.

Cenmin ShiDepartment of Hematology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
Mitao LiCancer Day-Care Unit, Division of Medical Oncology, Cancer Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
Jieying LvCancer Day-Care Unit, Division of Medical Oncology, Cancer Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
Qiuzhou WangBreast Center, West China Hospital, Sichuan University/Department of General Surgery, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
Lan FuBreast Center, West China Hospital, Sichuan University/Department of General Surgery, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
Lin TaoCancer Day-Care Unit, Division of Medical Oncology, Cancer Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China. taolin0403@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine the predictive roles of family resilience, individual resilience, and self-perceived burden (SPB) on return-to-work adaptability (RTWA) in younger Chinese breast cancer patients.

methodsA multicenter cross-sectional study was conducted utilizing structural equation modeling, with 356 breast cancer survivors aged 18-49 years recruited from five tertiary hospitals in Sichuan Province, China. Validated scales were used to measure family resilience, individual resilience, SPB, and RTWA. Data were analyzed using Pearson correlation and structural equation modeling with SPSS 23.0 and Amos 23.0.

resultsFamily resilience exerted a significant positive direct effect on individual resilience (β = 0.312, P < 0.01) and RTWA (β = 0.141, P < 0.01), and a significant negative effect on SPB (β =  - 0.238, P < 0.01). Individual resilience was negatively associated with SPB (β =  - 0.673, P < 0.001) and positively predicted RTWA (β = 0.168, P < 0.01), while SPB was negatively associated with RTWA (β =  - 0.156, P < 0.01). Three significant mediation effects were confirmed: individual resilience mediated the relationship between family resilience and RTWA (β = 0.085, P < 0.01); SPB mediated this relationship (β = 0.037, P < 0.01); and a chain mediation effect via individual resilience and SPB was significant (β = 0.052, P < 0.01).

conclusionFamily resilience serves as a foundational resource for successful occupational reintegration among young breast cancer survivors, exerting direct positive effects on RTWA and indirect effects by promoting individual resilience and alleviating SPB.

Indexed as

Adaptation, PsychologicalBreast NeoplasmsCancer SurvivorsFamilyResilience, PsychologicalReturn to WorkAdolescentAdultChinaCost of IllnessCross-Sectional StudiesFemaleHumansLatent Class AnalysisMiddle AgedYoung AdultBreast cancer survivorsFamily resilienceIndividual resilienceReturn-to-work adaptability

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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.