Translating multilevel theory into multilevel research: challenges and opportunities for understanding the social determinants of psychiatric disorders.

Translating multilevel theory into multilevel research: challenges and opportunities for understanding the social determinants of psychiatric disorders.
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DOI:
10.1007/s00127-013-0809-5
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发表时间:
2014-06
影响因子:
4.4
通讯作者:
Subramanian, S. V.
Subramanian, S. V.
中科院分区:
医学2区
文献类型:
--
作者:
Dunn, Erin C.;Masyn, Katherine E.;Yudron, Monica;Jones, Stephanie M.;Subramanian, S. V.

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社会环境的特征,包括家庭、学校和邻里特征,与个人层面的结果相关,这一观察结果刺激了流行病学、公共卫生、心理学和社会学等学科数十个多层次或生态理论框架的发展。尽管这些理论在病因学、干预和政策研究中得到了广泛的应用,但在多层次理论和实证研究之间架起桥梁的挑战依然存在。本文旨在综合这些挑战,并提供研究人员正在使用的方法和分析策略的具体例子,以获得对精神障碍的社会决定因素的更细微的理解,重点是儿童的心理健康。为了实现这一目标,我们首先描述多层次理论,定义它们的核心要素,并讨论这些理论建议在实证工作中需要什么。在第二部分中,我们概述了研究人员在将多层次理论转化为研究时面临的主要挑战。这些挑战是针对研究过程的每个阶段提出的。在第三部分中,我们描述了两种替代传统多层建模技术的方法,以更好地架起多层理论和多层研究的桥梁。它们是:(1)多水平因子分析和多水平结构方程模型;(2)动态系统方法。通过对多层次理论的回顾、对现有策略的评估以及对新兴方法的考察,本文提供了一个框架来评估和指导对儿童精神障碍的社会决定因素以及整个生命过程中的健康的实证研究。
The observation that features of the social environment, including family, school, and neighborhood characteristics, are associated with individual-level outcomes has spurred the development of dozens of multilevel or ecological theoretical frameworks in epidemiology, public health, psychology, and sociology, among other disciplines. Despite the widespread use of such theories in etiological, intervention, and policy studies, challenges remain in bridging multilevel theory and empirical research. This paper set out to synthesize these challenges and provide specific examples of methodological and analytical strategies researchers are using to gain a more nuanced understanding of the social determinants of psychiatric disorders, with a focus on children’s mental health. To accomplish this goal, we begin by describing multilevel theories, defining their core elements, and discussing what these theories suggest is needed in empirical work. In the second part, we outline the main challenges researchers face in translating multilevel theory into research. These challenges are presented for each stage of the research process. In the third section, we describe two methods being used as alternatives to traditional multilevel modeling techniques to better bridge multilevel theory and multilevel research. These are: (1) multilevel factor analysis and multilevel structural equation modeling; and (2) dynamic systems approaches. Through its review of multilevel theory, assessment of existing strategies, and examination of emerging methodologies, this paper offers a framework to evaluate and guide empirical studies on the social determinants of child psychiatric disorders as well as health across the lifecourse.
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