发表机构
University of Pennsylvania; University of Michigan（宾夕法尼亚大学; 密歇根大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出观察性方案，利用全国儿童健康调查数据，通过新颖的数据周转统计设计，在三个时间段考察青少年体力活动与运动参与对蓬勃发展及学业投入的影响，以评估结论的可复制性。
AI 中文摘要
儿童和青少年体力活动与运动参与的广泛益处已受到密切关注，据报道包括改善身心健康、认知功能和社会联系。然而，这些活动如何影响与长期成功、健康和福祉密切相关的蓬勃发展及学业投入，以及这些模式在COVID-19疫情前、期间和之后如何演变，在很大程度上仍属未知。在本文中，我们提供了一项观察性研究的方案，该研究利用全国儿童健康调查的数据来考察美国青少年中的这些关系。为加强我们的发现，我们将在三个不同时间段开展此项调查，以评估我们结论的可复制性。我们引入了一种新颖的统计设计，称为数据周转，以进行此分析。数据周转允许一组统计学家和领域专家协同工作，评估在多个数据分割中收集的证据强度，同时整合数据探索中的定性和定量发现。我们阐述了使用这一新方法的分析计划，并最后简要讨论了本研究的其他考虑因素。
英文摘要
The wide-ranging benefits of physical activity and sports participation among children and adolescents have been closely examined and are reported to include improvements in physical and mental health, cognitive functioning, and social connectedness. However, it remains largely unknown how these activities may affect flourishing and academic engagement, which are closely tied to long-term success, health, and well-being, and how these patterns evolved before, during, and after the COVID-19 pandemic. In this article, we provide the protocol for an observational study using data from the National Survey of Children's Health to examine these relationships among American adolescents. To strengthen our findings, we will conduct this investigation across three different time periods, allowing us to assess the replicability of our conclusions. We introduce a novel statistical design, called data turnover, to carry out this analysis. Data turnover allows a single group of statisticians and domain experts to work together to assess the strength of evidence gathered across multiple data splits while incorporating both qualitative and quantitative findings from data exploration. We delineate our analysis plan using this new method and conclude with a brief discussion of additional considerations for our study.
Comments14 pages, 6 figures
