Abstract:
Objective To investigate the current status of return to work (RTW) in postoperative breast cancer patients, and to analyze its influencing factors based on the LASSO-Logistic regression model, so as to provide a basis for developing personalized rehabilitation intervention strategies.
Methods A total of 397 postoperative breast cancer patients were enrolled using convenience sampling and divided into an RTW group (n = 140) and a non-RTW group (n = 257). Univariate analysis was used for initial screening of candidate variables, followed by LASSO regression with L1 regularization to achieve variable compression and eliminate multicollinearity. Finally, multivariate logistic regression was conducted to identify the independent influencing factors of RTW.
Results The RTW rate was 35.3% (140/397). Univariate analysis revealed significant inter-group differences in 20 candidate variables (P ＜ 0.05). These variables were subsequently incorporated into the LASSO regression analysis, which identified 7 variables with non-zero coefficients at λ = 0.029 8. The 7 variables selected by LASSO were then included in a multivariate logistic regression analysis, which showed that engaging in a mental-labor occupation (OR = 16.041) and higher social support scores (OR = 1.114) were promoting factors for RTW, while higher cancer-related fatigue scores (OR = 0.784) and ipsilateral axillary lymph node dissection (OR = 0.396) were impeding factors.
Conclusions RTW among post-operative breast cancer patients is affected by multi-dimensional factors including physiological, psychological and social support elements. Implementing multi-dimensional personalized interventions is of positive significance for facilitating patients' return to work.
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