Back

Associations of physical activity and sedentary time from childhood to adolescence with cognition in adolescence: The PANIC study

Jalanko, P.; Leppanen, M. H.; Bond, B.; Laukkanen, J. A.; Lakka, T. A.; Haapala, E. A.

2025-06-08 epidemiology
10.1101/2025.06.04.25328954 medRxiv
Show abstract

AbstractO_ST_ABSPurposeC_ST_ABSInvestigate the associations of cumulative exposure to physical activity (PA), sedentary time and screen time from childhood to adolescence over an 8-year follow-up with cognition in adolescence. MethodsAltogether, 260 adolescents (136 boys) who were 15-17 years at 8-year follow-up were analysed. PA and sedentary time were assessed using an Actiheart(R)-device, and different types of PA, non-screen-based sedentary time and screen time were assessed by a questionnaire at baseline, 2-year and 8-year examinations. Cognition was assessed using CogState tests at 8-year examinations. ResultsSelf-reported cumulative unsupervised PA from childhood to adolescence was inversely associated with accuracy in working memory task (standardized regression coefficient ({beta})=-0.127, 95% confidence interval (CI) -0.247 to -0.008) in adolescence. Self-reported non-screen-based sedentary time was inversely associated with reaction time ({beta}=-0.176, 95% CI -0.299 to -0.053) and accuracy ({beta}=-0.149, 95% CI -0.274 to -0.024) in working memory tasks. Self-reported screen time was inversely associated with reaction time ({beta}=-0.194, 95% CI -0.316 to -0.071) and ({beta}=-0.233, 95% CI -0.355 to -0.112) in both working memory tasks and directly associated with overall cognition ({beta}=0.187, 95% CI 0.070-0.305). ConclusionAccumulating less unsupervised PA and more screen time from childhood to adolescence was associated with better cognition in adolescence.

Published in Pediatric Exercise Science · not in our set (fewer than 10 published preprints to learn from) · training set

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.