ArticleFrontiers in psychology2024
Study on the cut-off point and the influencing factors of distress in newly diagnosed breast cancer patients.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Factors associated with distress over time in women with breast cancer undergoing radiotherapy: insights from a pilot study assessing a digital information tool.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Trial
- Validation and application of the breast cancer distress thermometer in Chinese patients: Cutoff scores and stage-specific manifestations.Asia-Pacific journal of oncology nursing · 2025Article
- Chronic Psychological Stress in Oncogenesis: Multisystem Crosstalk and Multimodal Interventions.Research (Washington, D.C.) · 2025Review
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6 authors.
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Abstract
Objective: Our aim is to investigate the cut-off point of distress and the influencing factors associated with distress in patients with newly diagnosed breast cancer. Methods: A cross-sectional survey of distress was conducted in 167 patients with newly diagnosed breast cancer admitted to the Department of General Surgery of a tertiary care hospital from July 2020 to March 2022. Patients completed the Hospital Anxiety and Depression Scale (HADS) and the Distress Thermometer (DT) questionnaire within 3 days of admission. The HADS ≥15 was used as the gold standard, and the cut-off point of the DT measure was analyzed using the Receiver Operating Characteristic (ROC) curve. The cut-off point obtained by ROC curve analysis was used to analyze the influencing factors of distress in breast cancer patients by univariate and multivariate regression analysis. Results: A total of 167 patients completed the survey, with an average HADS score of 8.43 ± 5.84 and a total HADS score of ≥15 in 37 (22.16%) patients, the mean DT score was 2.96 ± 1.85. ROC curve analysis showed an area under the curve of 0.885, with a maximum Jorden index (0.723) at a DT score of 4, the sensitivity was 100.0% and specificity was 72.3%. There were 73 (43.71%) patients with DT score ≥ 4. Regression analysis showed that insurance/financial problems, dealing with partner problems, tension, bathing/dressing problems, pain, and sleep problems were independent risk factors for l distress in newly diagnosed breast cancer patients. Conclusion: A DT score 4 is the cut-off point for distress in patients with newly diagnosed breast cancer. In clinical practice, target intervention should be carried out according to the risk factors of distress of patients.
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