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June 23, 2026International Journal of Clinical and Health PsychologyOpen Access

Accelerometer-derived movement phenotypes and adolescent mental health in pediatric obesity: A causal machine-learning study

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Authors

SPSiyu PanPWPeng WangFHFabian Herold

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Overview

Randomized trial examines movement behaviors and mental health in children with obesity, suggesting nuanced associations.

Key Points

  • This research aims to understand how different types of movement affect mental health in children with overweight or obesity.
  • Analyzed longitudinal data from the UK Millennium Cohort Study focusing on children with overweight or obesity (N=858).
  • Used accelerometer-derived data to assess sedentary behavior, light-intensity, and moderate-to-vigorous physical activities at age 7.
  • Applied generalized random forests to estimate average treatment effects (ATEs) and conditional average treatment effects (CATEs) while adjusting for potential confounders.
  • Higher sedentary behavior was associated with lower internalizing problems at age 11 (ATE = -0.013 SDQ points per additional min/day; 95% CI, -0.019 to -0.007; q < 0.001).
  • No other associations between movement behaviors and mental health outcomes were statistically significant post-FDR correction.
  • CATE analyses provided limited evidence of consistent variability in outcomes based on movement behaviors.

Cite This Study

Pan et al. (2026) studied this question.

synapsesocial.com/papers/6a3a2194111626ef22ab65d3https://doi.org/10.1016/j.ijchp.2026.100704
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