Residential College | false |
Status | 即將出版Forthcoming |
Multivariable prediction of returning to work among early-onset colorectal cancer survivors in China: A two-year follow-up | |
Chen, Xiaojun1,2; Zhong, Mengjiao3; Chen, Chunyan3; Huang, Lingyao3; Zhang, Kun4![]() ![]() | |
2025-12-01 | |
Source Publication | Asia-Pacific Journal of Oncology Nursing
![]() |
ISSN | 2347-5625 |
Volume | 12Pages:100637 |
Abstract | Objective: The number of early-onset colorectal cancer survivors (EOCRCs) is increasing. The primary aim of rehabilitation after battling cancer is to enable patients to return to work, as they constitute a significant contributor to societal productivity. A predictive model was developed to identify priority populations requiring intervention and refine responses to increase their capacity to return to work after undergoing treatment for EOCRC. Methods: The baseline information was collected before patients were discharged at the end of their treatment course. The data of patients who returned to work were collected at 1 and 2 years after discharge. A predictive variable model was developed via binary logistic regression. The TRIPOD checklist was used. Results: At 1 year, 64.7% of the EOCRC survivors had returned to work. Male sex, education, return to work self efficacy, re-entry readiness and social support increased the possibility of returning to work; higher levels of self-perceived fatigue and lower levels of family care decreased the possibility of returning to work within the 1-year model. At 2 years, 72.8% of the EOCRC survivors had returned to work. In the 2-year model, education, self-transcendence, return to work self efficacy, re-entry readiness and occupational environment increased the possibility of returning to work; self-perceived fatigue and psychosocial adjustment decreased the possibility of returning to work. Conclusions: The results of this study can guide early assessment and intervention for EOCRC survivors, to facilitate their return to work. |
Keyword | Early-onset Colorectal Cancer Returning To Work Prediction Model Return-to-work Self-efficacy Family Care Psychosocial Adjustment |
DOI | 10.1016/j.apjon.2024.100637 |
URL | View the original |
Indexed By | SCIE ; SSCI |
Language | 英語English |
WOS Research Area | Nursing |
WOS Subject | Nursing |
WOS ID | WOS:001400146300001 |
Publisher | ELSEVIER SCIENCE INC, STE 800, 230 PARK AVE, NEW YORK, NY 10169 |
Scopus ID | 2-s2.0-85213872332 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Health Sciences Institute of Translational Medicine |
Corresponding Author | Zhang, Kun; Wu, Xiaodan |
Affiliation | 1.School of Economics and Management, Beijing University of Posts and Telecommunications, Institution I, Beijing, China 2.Band of Guiyang Co., Ltd, Institution II, Guiyang, China 3.Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Institution III, Guangzhou, China 4.Shandong Provincial Hospital Affiliated to Shandong First Medical University, Institution IV, Shandong, China 5.Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Institution V, Macao SAR, China |
Corresponding Author Affilication | Faculty of Health Sciences |
Recommended Citation GB/T 7714 | Chen, Xiaojun,Zhong, Mengjiao,Chen, Chunyan,et al. Multivariable prediction of returning to work among early-onset colorectal cancer survivors in China: A two-year follow-up[J]. Asia-Pacific Journal of Oncology Nursing, 2025, 12, 100637. |
APA | Chen, Xiaojun., Zhong, Mengjiao., Chen, Chunyan., Huang, Lingyao., Zhang, Kun., & Wu, Xiaodan (2025). Multivariable prediction of returning to work among early-onset colorectal cancer survivors in China: A two-year follow-up. Asia-Pacific Journal of Oncology Nursing, 12, 100637. |
MLA | Chen, Xiaojun,et al."Multivariable prediction of returning to work among early-onset colorectal cancer survivors in China: A two-year follow-up".Asia-Pacific Journal of Oncology Nursing 12(2025):100637. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment