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利用复杂系统科学推动性少数和性别少数青年健康研究与公平性。

Leveraging Complex Systems Science to Advance Sexual and Gender Minority Youth Health Research and Equity.

作者信息

Moore Travis R, Foster Elizabeth N, Mair Christina, Burke Jessica G, Coulter Robert W S

机构信息

ChildObesity180, Division of Nutrition Interventions, Communication, and Behavior Change, Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.

Department of Library and Information Science, School of Computing and Information, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

LGBT Health. 2021 Aug-Sep;8(6):379-385. doi: 10.1089/lgbt.2020.0297. Epub 2021 Jun 28.

Abstract

Over the past two decades, sexual and gender minority (SGM) youth health inequities have remained the same or widened, highlighting the need for new approaches to foster health equity. Complex systems science (CSS) techniques must be added to our armamentarium because of the following: CSS techniques can model cyclical feedback loops inherent in the relationships between SGM youth health outcomes and their multilevel causes, thereby enhancing the integration of real-world complexity in scientific models; and CSS can simulate multiple hypothetical interventions, thereby identifying future interventions with great potential impact. We describe four promising CSS techniques for advancing SGM youth health equity.

摘要

在过去二十年中,性取向和性别认同少数群体(SGM)青年的健康不平等状况一直保持不变或有所加剧,这凸显了采用新方法促进健康公平的必要性。由于以下原因,必须将复杂系统科学(CSS)技术纳入我们的手段工具库:CSS技术可以对SGM青年健康结果与其多层次成因之间关系中固有的循环反馈回路进行建模,从而增强科学模型对现实世界复杂性的整合;并且CSS可以模拟多种假设干预措施,从而识别具有巨大潜在影响的未来干预措施。我们描述了四种推进SGM青年健康公平的有前景的CSS技术。

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