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Well-being profiles in adolescence: psychometric properties and latent profile analysis of the mental health continuum model – a methodological study

机译：青春期的幸福档案：心理健康连续体模型的心理测量特性和潜在剖面分析 - 一种方法论研究

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Abstract Background The Adolescent Mental Health Continuum Short Form (MHC-SF) is a psychometrically valid tool to evaluate the domains of subjective well-being, but there is a lack of investigations which could distinguish subgroups with distinct subjective well-being profiles based on this measurement. Therefore, after testing the competing measurement models of the MHC-SF, our main aim was to identify subjective well-being profiles in a large adolescent sample. Methods On a representative Hungarian adolescent sample (N = 1572; 51% girl; mean age was 15.39, SD = 2.26) confirmatory factor analyses (CFA) and exploratory structural equation modeling (ESEM) were used to test the factor stucture of the Adolescent MHC-SF. In addition, gender invariance of the best fitting model was also tested. Latent Profile Analyses (LPA) were conducted to reveal distinct subgroups and these profiles were then compared. Results Results support the bifactor model of MHC-SF: the general and specific well-being factors which were invariant across gender. LPA yielded four subgroups, three of them have been theoretically hypothesized in previous works (i.e. flourishing, moderate mental health, languishing), but an emotionally vulnerable subgroup also emerged. Compared to the languishing group, this new subgroup demonstrated higher scores on prosocial behaviour, but had comparable level of loneliness and internalizing symptoms. Conclusions Our results suggest that the MHC-SF is a reliable and valid instrument for assessing overall well-being and its components. In addition, the identification of young people to be at risk for low mental health may help us to tailor mental health promotion programs to their special needs.
机译：摘要背景青少年心理健康连续形式（MHC-SF）是一种精神训练的有效工具，可以评估主观福祉的领域，但缺乏调查可以将子组与基于此的独特主观幸福性概况区分开来测量。因此，在测试MHC-SF的竞争测量模型之后，我们的主要目的是识别大青少年样品中的主观福祉型材。代表性的匈牙利青少年样品的方法（n = 1572; 51％的女孩;平均年龄为15.39，sd = 2.26）确认因子分析（CFA）和探索结构方程建模（ESEM）用于测试青少年MHC的因子结构-SF。此外，还测试了最佳拟合模型的性别不变性。进行潜在的剖面分析（LPA）以显示不同的亚组，然后比较这些型材。结果结果支持MHC-SF的双层运动模型：跨性别不变的一般和特定福祉因素。 LPA产生了四个亚组，其中三个在以前的作品中理论上假设（即繁荣，中度心理健康，萎缩），但也出现了一个情绪脆弱的亚组。与萎缩的小组相比，这个新的亚组在女性行为上表现出更高的分数，但具有相当的孤独水平和内化症状。结论我们的结果表明，MHC-SF是可靠且有效的仪器，用于评估整体福祉及其组件。此外，鉴定年轻人面临低心理健康风险可能有助于我们为其特殊需求定制精神健康促进计划。

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