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Syndemics: a theory in search of data or data in search of a theory?

机译:流行病:寻找数据的理论还是寻找理论的数据?

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摘要

The concept of a syndemic was proposed more than two decades ago to explain how large-scale social forces might give rise to co-occurring epidemics that synergistically interact to undermine health in vulnerable populations. This conceptual instrument has the potential to help policymakers and program implementers in their endeavors to improve population health. Accordingly, it has become an increasingly popular heuristic for advocacy, most notably in the field of HIV treatment and prevention. However, most empirical studies purporting to validate the theory of syndemics actually do no such thing. provide a novel case study from India illustrating how the dominant empirical approach fails to promote deeper understanding about how hazardous alcohol use, illicit drug use, depression, childhood sexual abuse, and intimate partner violence interact to worsen HIV risk among men who have sex with men. In this commentary, I relate the theory of syndemics to other established social science and public health theories of disease distribution, identify possible sources of conceptual and empirical confusion, and provide concrete suggestions for how to validate the theory using a mixed-methods approach. The hope is that more evidence can be mobilized -- whether informed by the theory of syndemics or not -- to improve health and psychosocial wellbeing among vulnerable populations worldwide.
机译:人们在二十多年前提出了“流行病概念”的概念,以解释大规模的社会力量如何引起共同发生的流行病,这些流行病相互影响以破坏脆弱人群的健康。这一概念性工具有可能帮助决策者和方案实施者改善人口健康。因此,它已成为一种越来越流行的倡导性启发式方法,特别是在HIV治疗和预防领域。但是,大多数旨在验证同伴关系理论的实证研究实际上并没有做到这一点。提供了一个来自印度的新颖案例研究,说明了主要的经验方法是如何未能加深对有害酒精使用,非法药物使用,抑郁症,儿童期性虐待以及亲密伴侣暴力如何相互作用以加深与男同性恋者之间的HIV感染风险的认识。在这篇评论中,我将流行病学理论与其他成熟的疾病分布社会科学和公共卫生理论联系起来,确定概念和经验上混乱的可能根源,并为如何使用混合方法验证该理论提供具体建议。希望是可以调动更多的证据,无论是否通过共患病理论进行了解,以改善全球脆弱人群的健康和社会心理健康。

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