{"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}
引用次数: 0
Abstract
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).