Sleep and Circadian Predictors of Academic Performance and Retention in STEM Pathways: A Longitudinal Study in University Freshmen

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Bibliographic Details
Title: Sleep and Circadian Predictors of Academic Performance and Retention in STEM Pathways: A Longitudinal Study in University Freshmen
Language: English
Authors: Corinne L. Fitzsimmons (ORCID 0009-0001-4911-256X), Jason R. Carter (ORCID 0000-0001-7350-6537), Michael K. Scullin (ORCID 0000-0002-7578-7587)
Source: Advances in Physiology Education. 2026 50(2):394-401.
Availability: American Physiological Society. 9650 Rockville Pike, Bethesda, MD 20814-3991. Tel: 301-634-7164; Fax: 301-634-7241; e-mail: webmaster@the-aps.org; Web site: https://www.physiology.org/journal/advances
Peer Reviewed: Y
Page Count: 8
Publication Date: 2026
Sponsoring Agency: National Science Foundation (NSF)
Contract Number: 1920730
1943323
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Sleep, Predictor Variables, Academic Achievement, STEM Education, College Freshmen, Grade Point Average, Academic Persistence, Majors (Students)
Geographic Terms: Texas
Assessment and Survey Identifiers: Center for Epidemiologic Studies Depression Scale, State Trait Anxiety Inventory, Raven Advanced Progressive Matrices
DOI: 10.1152/advan.00313.2025
ISSN: 1043-4046
1522-1229
Abstract: Poor sleep health is common among university students, but there are diverging viewpoints on whether their sleep loss helps, harms, or has no impact on academic performance. We investigated whether sleep health markers in first-year university students predicted longitudinal academic outcomes when accounting for key variables. First-year university students who were pursuing a science, technology, engineering, and mathematics (STEM) career pathway (n = 489) were recruited to complete a baseline session that included measures of global sleep quality, chronotype, daytime sleepiness, social jetlag (change in sleep timing from weekdays to weekends), demographics, mental health, and fluid intelligence (reasoning). At the end of year 1 and year 2, we extracted data on cumulative grade-point average (GPA), academic major change, STEM pathway change, and institutional withdrawal. After adjusting for demographic, mental health, and fluid intelligence factors, we observed that worse global sleep quality, evening chronotype, and worse social jetlag independently predicted year 1 GPA. Global sleep quality also predicted year 2 GPA, even when accounting for prior academic performance. Students with shorter sleep durations were more likely to switch from their STEM career pathway, even when accounting for academic performance, demographics, mental health, and fluid intelligence. In conclusion, sleep health markers are predictive of better future academic performance and retention in STEM pathways. There is a need for individual and environmental interventions to improve sleep health in first-year students and to determine causal direction.
Abstractor: As Provided
Notes: https://osf.io/jmavn
Entry Date: 2026
Accession Number: EJ1502785
Database: ERIC
Description
Abstract:Poor sleep health is common among university students, but there are diverging viewpoints on whether their sleep loss helps, harms, or has no impact on academic performance. We investigated whether sleep health markers in first-year university students predicted longitudinal academic outcomes when accounting for key variables. First-year university students who were pursuing a science, technology, engineering, and mathematics (STEM) career pathway (n = 489) were recruited to complete a baseline session that included measures of global sleep quality, chronotype, daytime sleepiness, social jetlag (change in sleep timing from weekdays to weekends), demographics, mental health, and fluid intelligence (reasoning). At the end of year 1 and year 2, we extracted data on cumulative grade-point average (GPA), academic major change, STEM pathway change, and institutional withdrawal. After adjusting for demographic, mental health, and fluid intelligence factors, we observed that worse global sleep quality, evening chronotype, and worse social jetlag independently predicted year 1 GPA. Global sleep quality also predicted year 2 GPA, even when accounting for prior academic performance. Students with shorter sleep durations were more likely to switch from their STEM career pathway, even when accounting for academic performance, demographics, mental health, and fluid intelligence. In conclusion, sleep health markers are predictive of better future academic performance and retention in STEM pathways. There is a need for individual and environmental interventions to improve sleep health in first-year students and to determine causal direction.
ISSN:1043-4046
1522-1229
DOI:10.1152/advan.00313.2025