Abstract
Breast cancer ranks among the most prevalent cancers worldwide, particularly affecting young and middle-aged women, who face higher recurrence rates, lower survival rates, and substantial psychological health challenges. Depressive symptoms, frequently observed in breast cancer patients, significantly influence treatment outcomes and quality of life. Recent years have seen a growing focus on these symptoms, emphasizing early identification and intervention. This editorial comments on the recent study by Mao et al on a risk prediction model for depression in young and middle-aged breast cancer patients. Research suggests that factors such as tumor grade, monthly income, pain perception, family support, and physical activity critically influence the onset of depressive symptoms. By developing personalized risk prediction models, it becomes possible to identify high-risk patients early, allowing healthcare professionals to implement preventive strategies proactively. The editorial advocates for increased attention and resources dedicated to psychological health interventions for breast cancer patients, aiming to foster comprehensive care strategies that mitigate the impacts of depression and enhance overall quality of life.