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脑肿瘤成年患者家庭的适应:偏最小二乘结构方程建模。

Adaptation of families of adult patients with brain tumor: Partial least squares structural equation modeling.

机构信息

Department of Nursing, Kwangju Women's University, Gwangju, Korea.

College of Nursing Science, Kyung Hee University, Seoul, Korea.

出版信息

PLoS One. 2023 May 11;18(5):e0285677. doi: 10.1371/journal.pone.0285677. eCollection 2023.

DOI:10.1371/journal.pone.0285677
PMID:37167209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10174583/
Abstract

Brain tumor patients experience physical, psychological, social, and cognitive changes. These changes are challenging for both the patients and their families. These patients and their families need to adapt together on the cancer treatment path. This study aimed to identify the factors affecting adaptation in families of adult patients with brain tumors. A quantitative, cross-sectional study of 165 families of adult patients with primary brain tumors was conducted using a self-administered questionnaire. Partial least squares structural equation modeling was used to test a hypothetical model. The results showed that family stress, family functioning, and family resources influenced on family adaptation in families of adult patients with primary brain tumors. Among these factors, family resources were identified to be the strongest factor associated with family adaptation. The results of this study may be utilized as a theoretical basis in nursing to improve the family adaptation of patients with brain tumors. Regarding nursing practices, the results suggest that nurses should provide family-centered nursing interventions and promote family resources to help brain tumor patients and their families to adapt.

摘要

脑肿瘤患者会经历身体、心理、社会和认知方面的变化。这些变化给患者及其家庭带来了挑战。这些患者及其家庭需要在癌症治疗的道路上共同适应。本研究旨在确定影响脑肿瘤成年患者家庭适应的因素。采用自我管理问卷,对 165 例原发性脑肿瘤成年患者的家庭进行了定量、横断面研究。使用偏最小二乘结构方程模型对假设模型进行了检验。结果表明,家庭压力、家庭功能和家庭资源会影响原发性脑肿瘤成年患者家庭的适应。在这些因素中,家庭资源被确定为与家庭适应最相关的最强因素。本研究结果可作为护理的理论基础,以提高脑肿瘤患者的家庭适应。在护理实践方面,结果表明护士应提供以家庭为中心的护理干预措施,并促进家庭资源,以帮助脑肿瘤患者及其家庭适应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2b8/10174583/3c373d600e0f/pone.0285677.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2b8/10174583/bb0efb042ebc/pone.0285677.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2b8/10174583/d376454117ad/pone.0285677.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2b8/10174583/3c373d600e0f/pone.0285677.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2b8/10174583/bb0efb042ebc/pone.0285677.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2b8/10174583/d376454117ad/pone.0285677.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2b8/10174583/3c373d600e0f/pone.0285677.g003.jpg

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