Poverty and Childhood Obesity: Current Evidence and Methodologies for Future Research.

IF 9.5 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Richard Liang, Ryunosuke Goto, Yusuke Okubo, David H Rehkopf, Kosuke Inoue
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Abstract

Purpose of review: This narrative review summarizes current knowledge on the link between poverty and childhood obesity, and then describes conventional and modern epidemiologic methods for causal inference that may help provide more robust evidence on how poverty reduction can prevent childhood obesity.

Recent findings: Household poverty has been consistently associated with increased risk of childhood obesity across observational studies in industrialized countries. Due to ethical and feasibility limitations, few randomized controlled trials directly test the effect of poverty reduction. A growing number of studies use quasi-experimental methods to study the effects of poverty reduction policies on childhood obesity. These methods include instrumental variables, difference-in-differences, interrupted time series analysis, and regression discontinuity. Other complementary methods such as causal mediation analysis allow us to elucidate the mechanisms of how poverty reduction affects childhood obesity outcomes, while examining heterogeneous treatment effects using cutting-edge machine learning algorithms may further identify subpopulations that benefit the most from poverty interventions. Despite the strong associations between poverty and childhood obesity observed in industrialized countries, current evidence about the causal effect of poverty reduction on childhood obesity is mixed. This is likely due to the complex etiology of childhood obesity and potentially unintended effects of policies. Future studies that leverage advances in causal inference with quasi-experimental approaches will help provide more robust evidence to help guide practitioners and policymakers in ongoing childhood obesity prevention efforts.

贫困和儿童肥胖:目前的证据和未来研究的方法。
综述目的:这篇叙述性综述总结了目前关于贫困与儿童肥胖之间联系的知识,然后描述了用于因果推理的传统和现代流行病学方法,这些方法可能有助于为减贫如何预防儿童肥胖提供更有力的证据。最近的发现:在工业化国家的观察性研究中,家庭贫困一直与儿童肥胖风险增加有关。由于伦理和可行性的限制,很少有随机对照试验直接测试减贫的效果。越来越多的研究使用准实验方法来研究减贫政策对儿童肥胖的影响。这些方法包括工具变量、差中差、中断时间序列分析和回归不连续。其他补充方法,如因果中介分析,使我们能够阐明减贫如何影响儿童肥胖结果的机制,同时使用尖端机器学习算法检查异质性治疗效果,可以进一步确定从贫困干预中受益最大的亚人群。尽管在工业化国家观察到贫困与儿童肥胖之间存在很强的联系,但目前关于减少贫困对儿童肥胖的因果影响的证据喜忧参半。这可能是由于儿童肥胖的复杂病因和政策的潜在意想不到的影响。未来的研究利用准实验方法在因果推理方面的进展,将有助于提供更有力的证据,帮助指导从业人员和政策制定者正在进行的儿童肥胖预防工作。
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来源期刊
Current Obesity Reports
Current Obesity Reports Medicine-General Medicine
CiteScore
16.40
自引率
1.10%
发文量
25
期刊介绍: The main objective of Current Obesity Reports is to provide expert review articles on recent advancements in the interdisciplinary field of obesity research. Our aim is to offer clear, insightful, and balanced contributions that will benefit all individuals involved in the treatment and prevention of obesity, as well as related conditions such as cardiovascular diseases, endocrine disorders, gynecological issues, cancer, mental health, respiratory complications, and rheumatological diseases. We strive to redefine the way knowledge is expressed and provide organized content for the benefit of our readership.
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