Cognition varies across the calendar year in multiple large-scale datasets

A Arielle S. Keller (Department of Psychological Sciences, University of Connecticut) A Alisha Shetty (Department of Psychiatry, University of Pennsylvania) R Ran Barzilay (Department of Psychiatry, University of Pennsylvania) M Monica E. Calkins (Department of Psychiatry, University of Pennsylvania) Y Yap-Seng Chong (Institute for Human Development and Potential, Agency for Science, Technology and Research) N Niyati Dave (Department of Psychological Sciences, University of Connecticut) D Damien A. Fair (Department of Pediatrics, University of Minnesota) P Peter D. Gluckman (Institute for Human Development and Potential, Agency for Science, Technology and Research) R Raquel E. Gur (Department of Psychiatry, University of Pennsylvania) R Ruben C. Gur (Department of Psychiatry, University of Pennsylvania) A Allyson P. Mackey (Department of Psychology, University of Pennsylvania) M Michael J. Meaney (Institute for Human Development and Potential, Agency for Science, Technology and Research) L Lucille A. Moore (Masonic Institute for the Developing Brain, University of Minnesota) T Tyler M. Moore (Department of Psychiatry, University of Pennsylvania) T Theodore D. Satterthwaite (Department of Psychiatry, University of Pennsylvania) A Ai Peng Tan (Department of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore) B Brenden Tervo-Clemmens (Institute of Child Development, University of Minnesota) B Bart S. Larsen (Department of Pediatrics, University of Minnesota)

Abstract

Children’s cognitive abilities vary across short and long timescales, from circadian fluctuations to year-by-year developmental changes. “Summer slide” refers to seasonal variation in academic performance, characterized by decreased performance following an extended school vacation. However, it remains unclear whether this effect generalizes across varied assessments and the extent of this effect across sociodemographic groups has been debated. Though seasonal variation in cognitive performance is often attributed to “forgetting” of learned material, no large-scale studies have systematically investigated seasonal variation in general cognitive skills (e.g., executive functioning) on standardized laboratory-based assessments in school-age youth compared to adults. Across four datasets with geographic, demographic, mental health, and measurement variation (total n = 23,251), we quantify cyclical, seasonal variation in children’s cognitive performance using generalized additive models with cyclic cubic splines. In school-age children but not young adults, we found consistent cognitive performance minima following school vacation (July–September in the United States; November–January in Singapore) across nearly all cognitive domains investigated. These results demonstrate a generalizable small-magnitude effect of lower cognitive performance aligning with school vacation even after adjusting for socioeconomic status or ADHD diagnosis. We contextualize summer cognitive minima relative to environmental and developmental effects, noting that the largest effect size is still seven times smaller than effects of the socioeconomic environment on cognition, and provide recommendations for future data collection and analysis of behavior across the calendar year.

Article Details

Volume / Issue Vol. 122, Issue 51
Published December 23, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (18)

A

Arielle S. Keller

Department of Psychological Sciences, University of Connecticut

A

Alisha Shetty

Department of Psychiatry, University of Pennsylvania

R

Ran Barzilay

Department of Psychiatry, University of Pennsylvania

M

Monica E. Calkins

Department of Psychiatry, University of Pennsylvania

Y

Yap-Seng Chong

Institute for Human Development and Potential, Agency for Science, Technology and Research

N

Niyati Dave

Department of Psychological Sciences, University of Connecticut

D

Damien A. Fair

Department of Pediatrics, University of Minnesota

P

Peter D. Gluckman

Institute for Human Development and Potential, Agency for Science, Technology and Research

R

Raquel E. Gur

Department of Psychiatry, University of Pennsylvania

R

Ruben C. Gur

Department of Psychiatry, University of Pennsylvania

A

Allyson P. Mackey

Department of Psychology, University of Pennsylvania

M

Michael J. Meaney

Institute for Human Development and Potential, Agency for Science, Technology and Research

L

Lucille A. Moore

Masonic Institute for the Developing Brain, University of Minnesota

T

Tyler M. Moore

Department of Psychiatry, University of Pennsylvania

T

Theodore D. Satterthwaite

Department of Psychiatry, University of Pennsylvania

A

Ai Peng Tan

Department of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore

B

Brenden Tervo-Clemmens

Institute of Child Development, University of Minnesota

B

Bart S. Larsen

Department of Pediatrics, University of Minnesota