Measurement and description of underlying dimensions of comorbid mental disorders using Factor Mixture Models: results of the ESEMeD project
Measurement and description of underlying dimensions of comorbid mental disorders using Factor Mixture Models: results of the ESEMeD project
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DOI：
10.1002/mpr.334
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发表时间：
2011-06-01
影响因子：
3.1
通讯作者：
Alonso, Jordi
中科院分区：
文献类型：
--
作者：
Almansa, Josue;Vermunt, Jeroen K.;Alonso, Jordi
精神健康和精神共病的流行病学研究通常基于疾病之间的患病率和相关性，或其他形式的双变量疾病聚类。在本文中，我们提出了一个因素混合模型（FMM）的概念模型的基础上，旨在衡量和总结独特的障碍信息的内部和外部化的维度。这种方法包括明确的亚群建模和12个月的疾病（“生病”和“健康”）的潜伏类的手段，以及评估模型的不变性和估计的维度得分。我们将这种方法与内化/外化双因素模型应用于欧洲精神疾病流行病学研究（ESEMeD）研究中收集的代表性样本，该研究包括来自六个国家的8796名个体，并使用CIDI 3.0工具进行疾病评估。结果显示，南欧国家有显着较高的心理健康水平，内化/外化障碍比中部国家;男性遭受更多的外化障碍比女性，相反，内化障碍更频繁的妇女。社会人口群体之间的心理健康水平的差异是由于不同比例的健康和患病的个人，并显着的，以改善婚姻状况的严重程度的影响。基于潜在模型的分数的优点在于，除了诊断数据之外，包括附加的心理健康维度信息允许在分数的目标范围内具有更高的精度。版权所有（C）2011约翰威利父子有限公司
Epidemiological studies on mental health and mental comorbidity are usually based on prevalences and correlations between disorders, or some other form of bivariate clustering of disorders. In this paper, we propose a Factor Mixture Model (FMM) methodology based on conceptual models aiming to measure and summarize distinctive disorder information in the internalizing and externalizing dimensions. This methodology includes explicit modelling of subpopulations with and without 12 month disorders ("ill" and "healthy") by means of latent classes, as well as assessment of model invariance and estimation of dimensional scores. We applied this methodology with an internalizing/externalizing two-factor model, to a representative sample gathered in the European Study of the Epidemiology of Mental Disorders (ESEMeD) study - which includes 8796 individuals from six countries, and used the CIDI 3.0 instrument for disorder assessment. Results revealed that southern European countries have significantly higher mental health levels concerning internalizing/externalizing disorders than central countries; males suffered more externalizing disorders than women did, and conversely, internalizing disorders were more frequent in women. Differences in mental-health level between socio-demographic groups were due to different proportions of healthy and ill individuals and, noticeably, to the ameliorating influence of marital status on severity. An advantage of latent model-based scores is that the inclusion of additional mental-health dimensional information - other than diagnostic data - allows for greater precision within a target range of scores. Copyright (C) 2011 John Wiley & Sons, Ltd.