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基于潜剖面分析的乳腺癌患者家庭适应状况研究:一项横断面研究。

Latent profile analysis of family adaptation in breast cancer patients-cross-sectional study.

机构信息

School of Nursing, Jinzhou Medical University, No.40, Section 3, Songpo Road, Linghe District, Jinzhou City, 121000, Liaoning Province, China.

School of Nursing, Shanxi Medical University, 56 Xinjian South Road, Yingze District, Taiyuan City, 030000, Shanxi Province, China.

出版信息

Sci Rep. 2024 Sep 12;14(1):21357. doi: 10.1038/s41598-024-72410-2.

Abstract

When individuals face life pressure or significant family changes, individuals with better family adaptation can better survive the crisis. Although the influencing factors of family adaptation have been investigated, the application of potential profile analysis has yet to be found. This analytical approach can reveal different potential categories of family adaptation, providing new perspectives for theoretical development and interventions. This study used latent profile analysis to explore family adaptation levels in breast cancer patients and identify different latent categories, examining their characteristic differences. A cross-sectional study was conducted in Jinzhou, China, from July 2023 to March 2024. The questionnaire included Sociodemographic and clinical characteristics, Benefit Finding Scale (BFS), Dyadic Coping Scale (DCI), Chinese Perceived Stress Scales (PSS), and Family adaptability and cohesion evaluation scales (FACES). Mplus8.3 and SPSS26.0 software were used for data analysis. The latent profile analysis (LPA) method was used to fit the family adaptations of breast cancer patients. Three latent categories of family adaptation were identified: low-level family adaptation (21.5%), medium level family adaptation (47.8%), and high-level family adaptation (30.6%). All 14 items with high levels of family adaptation scored higher than the other two groups. In particular, out of all the categories, item 9, "The idea of educating children is sound," scored highest. Compared with the low-level group, the influential factors of family adaptation in the high-level group were BFS, DCI, PSS, relapse and personal monthly income; The factors influencing family adaptation at the middle level are DCI, BFS, breast cancer type, family history of breast cancer, and personal monthly income. Compared with the medium level group, PSS and DCI were the influential factors of family adaptation in the high-level group. Family adaptation in breast cancer patients can be divided into three categories: low-level, medium-level, and high-level. There were significant differences among different categories of family adaptation levels in "personal monthly income", "family history of breast cancer", "type of breast cancer", "recurrence", "dyadic coping", "benefit finding", and "perception stress".

摘要

当个体面临生活压力或重大家庭变化时,具有更好家庭适应能力的个体能够更好地度过危机。虽然已经研究了家庭适应的影响因素,但潜在剖面分析的应用尚未被发现。这种分析方法可以揭示家庭适应的不同潜在类别,为理论发展和干预提供新的视角。本研究采用潜在剖面分析探讨乳腺癌患者家庭适应水平,识别不同的潜在类别,考察其特征差异。本研究采用横断面研究方法,于 2023 年 7 月至 2024 年 3 月在辽宁省锦州市进行。问卷包括社会人口学和临床特征、益处发现量表(BFS)、夫妻应对量表(DCI)、中文版感知压力量表(PSS)和家庭适应性和凝聚力评估量表(FACES)。采用 Mplus8.3 和 SPSS26.0 软件进行数据分析。采用潜在剖面分析(LPA)方法拟合乳腺癌患者家庭适应情况。确定了三种家庭适应的潜在类别:低水平家庭适应(21.5%)、中水平家庭适应(47.8%)和高水平家庭适应(30.6%)。高水平家庭适应的 14 项得分均高于其他两组。特别是在所有类别中,项目 9“教育孩子的观念正确”得分最高。与低水平组相比,高水平组家庭适应的影响因素为 BFS、DCI、PSS、复发和个人月收入;中水平组家庭适应的影响因素为 DCI、BFS、乳腺癌类型、乳腺癌家族史和个人月收入。与中水平组相比,高水平组家庭适应的影响因素为 PSS 和 DCI。乳腺癌患者的家庭适应可分为低水平、中水平和高水平三个层次。不同家庭适应水平类别之间在“个人月收入”、“乳腺癌家族史”、“乳腺癌类型”、“复发”、“夫妻应对”、“益处发现”和“感知压力”方面存在显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433a/11392941/0fde3ced1a58/41598_2024_72410_Fig1_HTML.jpg

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