关键词: LCA LTA latent class analysis psychological distress stroke

来  源:   DOI:10.3389/fpsyt.2024.1326988   PDF(Pubmed)

Abstract:
UNASSIGNED: Psychological distress affects the treatment and rehabilitation of patients with stroke, affects their long-term functional exercise and quality of life, and increases the risk of stroke recurrence and even death. This is a multi-dimensional and multi-level mental health problem and a dynamic process variable that shows a dynamic development trend with time. However, previous studies have been insufficient to deeply study the change mechanism of psychological distress, and there remains a lack of forward-looking longitudinal studies to analyze its change trajectory. This study aimed to investigate potential categories and how psychological distress changes over time and to examine conversion probability in these transformation processes.
UNASSIGNED: This prospective longitudinal mixed-method study investigated the potential categories and change trajectories of distress in patients with stroke. A total of 492 participants from three hospitals were recruited for quantitative analysis. Latent class analysis and latent transition analysis (LCA/LTA) were used to identify meaningful subgroups, transitions between those classes across time, and baseline demographic features that help predict and design tailored interventions.
UNASSIGNED: A comprehensive understanding of the potential category and transformation processes of psychological distress over time, including the impact of the sense of demographic data on the role of shame and loneliness, can lead to the development of psychological distress treatment tailored to the unique needs of patients with stroke. Thus, this study can promote more effective and successful treatment outcomes, reduce the stigma surrounding disease issues among patients, and encourage them to use psychological consultation.
摘要:
心理困扰影响中风患者的治疗和康复,影响他们的长期功能锻炼和生活质量,并增加中风复发甚至死亡的风险。这是一个多维度、多层次的心理健康问题,是一个随时间呈现动态发展趋势的动态过程变量。然而,以往的研究不足以深入研究心理困扰的变化机制,仍然缺乏前瞻性的纵向研究来分析其变化轨迹。这项研究旨在调查潜在的类别以及心理困扰如何随时间变化,并检查这些转换过程中的转换概率。
这项前瞻性纵向混合方法研究调查了中风患者痛苦的潜在类别和变化轨迹。共招募了来自三家医院的492名参与者进行定量分析。潜在类别分析和潜在转换分析(LCA/LTA)用于识别有意义的亚组,这些类之间跨时间的过渡,和基线人口统计特征,帮助预测和设计定制的干预措施。
随着时间的推移,全面了解心理困扰的潜在类别和转化过程,包括人口统计数据对羞耻感和孤独感的影响,可以针对中风患者的独特需求制定心理困扰治疗方案。因此,这项研究可以促进更有效和成功的治疗结果,减少患者中围绕疾病问题的污名,并鼓励他们使用心理咨询。
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