{"title":"体现结构性不平等的分析框架。","authors":"Maria M Llabre, Zachary T Goodman","doi":"10.1037/hea0001384","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The goal of this article is to describe a conceptual multilevel model that provides evidence of embodiment of a societal stressor on the health of the individuals and illustrate with simulated data how omitting components in the analysis model fails to properly capture how context influences health.</p><p><strong>Method: </strong>We describe a two-level model with variables at each level: stress at the group level and appraisal at the individual level. These factors are assumed to influence the blood pressure of individuals. Importantly, the person-level predictor is responsible for bringing the group-level predictor to the individual level by a cross-level interaction between stress and appraisal and/or a mediated effect of stress. When combined, the model components may be partitioned into a pure direct effect, a pure indirect effect, pure interaction effect, and an interaction-in-mediation effect. Data were generated in accordance with the model with each component accounting for some proportion of variance in blood pressure.</p><p><strong>Results: </strong>To the extent these components operate in the process of embodiment, a proposition we argue is reasonable, failure to specify the analytic model with all components leads to failure to characterize embodiment and misattribution of the effect and mechanism.</p><p><strong>Conclusions: </strong>To fully quantify embodiment of a societal stressor on a health outcome, studies should use multilevel designs and estimate cross-level interactions and mediated effects. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An analytical framework for the embodiment of structural inequities.\",\"authors\":\"Maria M Llabre, Zachary T Goodman\",\"doi\":\"10.1037/hea0001384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The goal of this article is to describe a conceptual multilevel model that provides evidence of embodiment of a societal stressor on the health of the individuals and illustrate with simulated data how omitting components in the analysis model fails to properly capture how context influences health.</p><p><strong>Method: </strong>We describe a two-level model with variables at each level: stress at the group level and appraisal at the individual level. These factors are assumed to influence the blood pressure of individuals. Importantly, the person-level predictor is responsible for bringing the group-level predictor to the individual level by a cross-level interaction between stress and appraisal and/or a mediated effect of stress. When combined, the model components may be partitioned into a pure direct effect, a pure indirect effect, pure interaction effect, and an interaction-in-mediation effect. Data were generated in accordance with the model with each component accounting for some proportion of variance in blood pressure.</p><p><strong>Results: </strong>To the extent these components operate in the process of embodiment, a proposition we argue is reasonable, failure to specify the analytic model with all components leads to failure to characterize embodiment and misattribution of the effect and mechanism.</p><p><strong>Conclusions: </strong>To fully quantify embodiment of a societal stressor on a health outcome, studies should use multilevel designs and estimate cross-level interactions and mediated effects. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1037/hea0001384\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/hea0001384","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
目的:本文旨在描述一个概念性多层次模型,该模型提供了社会压力因素对个人健康影响的证据,并通过模拟数据说明了在分析模型中省略组成部分如何无法正确捕捉环境对健康的影响:我们描述了一个两级模型,每个级别都有变量:群体级别的压力和个人级别的评价。假定这些因素会影响个人的血压。重要的是,个人层面的预测因素通过压力与评价之间的跨层面相互作用和/或压力的中介效应,将群体层面的预测因素引入个人层面。综合来看,该模型的组成部分可分为纯直接效应、纯间接效应、纯交互效应和中介交互效应。根据模型生成的数据,每个组成部分都占血压变异的一定比例:结果:我们认为,只要这些成分在体现过程中起作用(这一主张是合理的),那么,如果分析模型没有包含所有成分,就无法确定体现的特征,也无法对效应和机制进行错误归因:结论:要全面量化社会压力源对健康结果的体现,研究应采用多层次设计,并估计跨层次的相互作用和中介效应。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
An analytical framework for the embodiment of structural inequities.
Objective: The goal of this article is to describe a conceptual multilevel model that provides evidence of embodiment of a societal stressor on the health of the individuals and illustrate with simulated data how omitting components in the analysis model fails to properly capture how context influences health.
Method: We describe a two-level model with variables at each level: stress at the group level and appraisal at the individual level. These factors are assumed to influence the blood pressure of individuals. Importantly, the person-level predictor is responsible for bringing the group-level predictor to the individual level by a cross-level interaction between stress and appraisal and/or a mediated effect of stress. When combined, the model components may be partitioned into a pure direct effect, a pure indirect effect, pure interaction effect, and an interaction-in-mediation effect. Data were generated in accordance with the model with each component accounting for some proportion of variance in blood pressure.
Results: To the extent these components operate in the process of embodiment, a proposition we argue is reasonable, failure to specify the analytic model with all components leads to failure to characterize embodiment and misattribution of the effect and mechanism.
Conclusions: To fully quantify embodiment of a societal stressor on a health outcome, studies should use multilevel designs and estimate cross-level interactions and mediated effects. (PsycInfo Database Record (c) 2024 APA, all rights reserved).