善意童年经历的结构:潜在阶层分析及其与心理健康结果和心理因素的关联在一个大的英国成人样本中

IF 2.9
Andrea Zagaria, Thanos Karatzias, Philip Hyland, Mark Shevlin
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引用次数: 0

摘要

本研究旨在探讨善意童年经历(bce)与人口学变量之间的关系;其次,在不考虑不良童年经历(ace)混杂效应的情况下,研究bce的分类结构;第三,探讨bce的潜在类别与一系列心理健康和心理因素之间的关联;第四,检验bce与心理健康结果之间的线性与非线性关系。这里分析的样本包括n = 2058名英国普通人群参与者。我们的研究结果显示,性别、年龄和教育程度对bce的影响很小。潜在类别分析(LCA)显示了四个类别:高bce(42%),有机会的中级bce(35%),中级bce(17%)和低bce(4%)。这些类别与心理因素和心理健康结果有关,BCE越高,总体上表现出更好的社会心理功能。二次项分析无显著结果。讨论了该领域进一步研究的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Structure of Benevolent Childhood Experiences: A Latent Class Analysis and Association with Mental Health Outcomes and Psychological Factors in a Large Adult UK Sample

The aims of this study were firstly to explore the relationship between Benevolent Childhood Experiences (BCEs) and demographic variables, secondly to investigate the taxonic structure of BCEs without considering the confounding effect of Adverse Childhood Experiences (ACEs), thirdly to explore associations between latent classes of BCEs and a range of mental health and psychological factors and fourthly to examine the linear vs. non-linear relationship between BCEs and mental health outcomes. The sample analyzed here consisted of n = 2058 UK general population participants. Our findings revealed weak effects of gender, age, and education across the BCEs. A Latent Class Analysis (LCA) revealed four classes: High BCEs (42%), Intermediate BCEs with opportunity (35%), Intermediate BCEs (17%), and Low BCEs (4%). These classes were associated with psychological factors and mental health outcomes, with higher BCE clusters exhibiting better psychosocial functioning overall. Analysis of quadratic terms yielded no significant results. Implications for further research in this area are discussed.

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CiteScore
7.30
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