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Journal of Nursing ›› 2022, Vol. 29 ›› Issue (13): 6-11.doi: 10.16460/j.issn1008-9969.2022.13.006

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Characteristics and Predictors of Social Isolation in Female Breast Cancer Patients

HE Chun-yan1, GUO Si-jin2, LIN Ya-wei1, DU Yan-ling1, GAO li1, CAO Bao-hua1   

  1. 1. Department of Nursing, Air Force Medical University, Xi’an 710000,China;
    2. Dept. of Thyroid and Breast Surgery, Xijing Hospital, Air Force Medical University, Xi’an 710000,China
  • Received:2022-04-07 Online:2022-07-10 Published:2022-08-02

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Abstract: Objective To explore the potential categories of social isolation in female breast cancer patients and to analyze the predictors of social isolation in female breast cancer patients. Methods Using convenience sampling method, 300 female breast cancer patients from 3 tertiary grade A hospitals in Xi’an from May to November of 2021 were selected. Social Anxiety Scale, Social Avoidance Scale, Loneliness Scale, general data scale and Pittsburgh Sleep Quality Index scale were used to investigate social isolation in the patients. After latent profile analysis, the social isolation was classified, and the ordinal multi-category logistic regression analysis was used to explore the distinguishing indexes among different categories. Results The characteristics of social isolation of female breast cancer patients can be divided into 3 categories: "high symptom group" (11.6%), "middle symptom group" (46.4%) and "low symptom group" (42.0%). Sleep quality (OR=1.121, P=0.016), surgery (OR=8.063, P=0.010) and radiotherapy (OR=8.385, P=0.017) were the predictors of high symptom group. Lower average monthly family income (OR=2.101, P=0.034), operation (OR=4.072, P<0.001), and chemotherapy (OR=3.059, P=0.005) were the predictors of the middle symptom group. Conclusion Social isolation in female breast cancer patients can be divided into 3 categories. Surgery and radiotherapy are important predictors of poor sleep quality in the "high symptom group", while surgery and chemotherapy are independent predictors of low monthly income in the "middle symptom group". Targeted intervention according to different characteristics of social isolation of female breast cancer patients should be considered.

Key words: breast cancer, social isolation, sleep quality, latent profile analysis, nursing

CLC Number: 

  • R473.73
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