Pre-analysis protocol for an observational study on the effects of adolescent sports participation on health in early adulthood

Ajinkya H. Kokandakar, Yuzhou Lin, Steven Jin, Jordan Weiss, Amanda R. Rabinowitz, Reuben A. Buford May, Dylan Small, Sameer K. Deshpande

Research output: Contribution to journalArticlepeer-review

Abstract

We will study the impact of adolescent sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary outcomes measured at ages 23–28 — self-rated health and total score on the PHQ9 Pa-tient Depression Questionnaire — and control for several potential confounders related to demographics and family socioeconomic status. Comparing outcomes between sports participants and matched non-sports participants with similar confounders is straightforward. Unfortunately, an analysis based on such a broad exposure cannot probe the possibility that participation in certain types of sports (e.g., collision sports like football or soccer) may have larger effects on health than others. In this study, we introduce a hierarchy of exposure definitions, ranging from broad (par-ticipation in any after-school organized activity) to narrow (e.g., participation in limited-contact sports). We will perform separate matched observational studies, one for each definition, to estimate the health effects of several levels of sports participation. In order to conduct these studies while maintaining a fixed family-wise error rate, we deployed an ordered testing approach that exploits the logical relationships between exposure definitions. Our study will also consider several secondary outcomes including body mass index, life satisfaction, and problematic drinking behavior.

Original languageEnglish (US)
Pages (from-to)11-35
Number of pages25
JournalObservational Studies
Volume10
Issue number1
DOIs
StatePublished - 2024

Keywords

  • Depression
  • Matching
  • Multiple testing
  • Self-rated health

ASJC Scopus subject areas

  • Statistics and Probability
  • Numerical Analysis
  • Modeling and Simulation
  • Computer Science Applications
  • Applied Mathematics

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