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佩克尔生活事件与自适应神经模糊方法评估乳腺癌伴抑郁患者的应激作用。

Evaluation of the role of stress in patients with breast cancer and depression by paykel's life event and adaptive neuro-fuzzy approach.

机构信息

Kliničko-bolnički Centar Gračanica, Belgrade, Serbia.

Faculty of Medicine Novi Sad, Department of Psychiatry and Psychological Medicine, University of Novi Sad, Novi Sad, Serbia.

出版信息

Brain Behav. 2020 Apr;10(4):e01570. doi: 10.1002/brb3.1570. Epub 2020 Feb 26.

Abstract

INTRODUCTION

The aim of this study was to identify and analyze the stress factors and the level of stress a year preceding the onset of breast cancer and depression in the studied female patients.

METHODS

The research in this work was mostly prospectively (clinical and analytical). During the research, Scale of Life Events-Paykel was applied. Stressful life events differed significantly between the groups. In the studied group, the following events were significantly more prevalent: partner infidelity (χ  = 12.663; p < .001), failure at work (χ  = 44.429; p < .001), and spontaneous abortions or stillbirths (χ  = 13.818; p < .001).

RESULTS

According to the results of this study, stressful life events differed significantly between the observed groups. These stressful life events had a significant impact on the increase of risk for breast cancer, as well as on depressivity. Afterward, adaptive neuro-fuzzy inference system was used for prediction of the Paykel's Life Event according to Fisher's exact test.

CONCLUSION

The obtained results could be of practical usage for improving stress behavior of the patients with breast cancer and depression.

摘要

简介

本研究的目的是识别和分析女性患者乳腺癌和抑郁发病前一年的应激因素和应激水平。

方法

本研究主要采用前瞻性(临床和分析)研究。在研究过程中,应用了佩克生活事件量表。两组之间的生活应激事件差异有统计学意义。在研究组中,以下事件明显更为普遍:伴侣不忠(χ²=12.663;p<.001)、工作失败(χ²=44.429;p<.001)和自然流产或死胎(χ²=13.818;p<.001)。

结果

根据本研究的结果,观察到的组之间的生活应激事件差异有统计学意义。这些生活应激事件对乳腺癌风险的增加以及抑郁有显著影响。之后,根据 Fisher 确切检验,使用自适应神经模糊推理系统对佩克生活事件进行预测。

结论

所得结果可实际用于改善乳腺癌和抑郁患者的应激行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55c1/7177561/ce314c90804a/BRB3-10-e01570-g001.jpg

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