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Neighborhood affluence is not associated with positive and negative valence processing in adults with mood and anxiety disorders: A Bayesian inference approach

机译:患有情感和焦虑症的成年人的邻里富裕与正价和负价处理无关:贝叶斯推断方法

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摘要

Survey-based studies show that neighborhood disadvantage is associated with community reported mental health problems. However, fewer studies have examined whether neighborhood characteristics have measurable impact on mental health status of individuals in general and whether neighborhood characteristics impact positiveegative valence processing at both behavioral and brain levels. This study addressed these questions by investigating effects of census-based neighborhood affluence on self-reported symptoms, brain functions, and structures associated with positiveegative valence processing in a sample of individuals with mood and anxiety disorders (n = 262). Employing a Bayesian inference approach, our investigation demonstrates that neighborhood affluence fails to be associated with positiveegative valence processing measured across multiple modalities, with the only effects of neighborhood affluence identified in trait anxiety scores. These findings highlight that while community-based relationships between neighborhood characteristics and mental health problems are strong, it is much less clear that these characteristics have a measurable impact on the individual.
机译:基于调查的研究表明,邻里劣势与社区报告的精神健康问题有关。但是,很少有研究检查邻里特征是否总体上对个体的心理健康状况具有可测量的影响,以及邻里特征是否在行为和大脑水平上都影响正价/负价处理。这项研究通过调查基于普查的邻里富裕对情绪和焦虑症患者的自我报告症状,脑功能以及与正/负价处理相关的结构的影响,来解决这些问题(n = 262)。使用贝叶斯推断方法,我们的研究表明,邻里富裕与跨多种方式测量的正/负价处理没有关联,而邻里富裕的唯一影响是在特质焦虑评分中确定的。这些发现表明,尽管社区特征与心理健康问题之间基于社区的关系很牢固,但这些特征对个人的影响却尚不清楚。

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