The College Sleep Score is built on published research. This page lists the sources behind the assessment's benchmarks, mechanisms, and editorial content, organized by the role each plays — the primary benchmark dataset, supporting sources that supply specific statistics, and mechanism evidence that grounds the assessment's explanatory content.
American College Health Association. American College Health Association–National College Health Assessment III: Reference Group Data Report, Spring 2024. Silver Spring, MD: American College Health Association; published July 2025.
A survey of 103,639 students at 154 US institutions — the largest current dataset on US college student health. Supplies the benchmark statistics for weekday and weekend sleep (Q2, Q3), daytime sleepiness (Q4), alcohol use (Q6), and stress (Q9), and a proxy measure for difficulty falling asleep (Q10).
These supply specific statistics for individual questions where ACHA-NCHA does not cover the topic.
Mahoney CR, et al. Intake of caffeine from all sources and reasons for use by college students. Clinical Nutrition. 2019;38(2):668–675.
A study of 1,248 students across five US universities measuring total caffeine intake from all sources. Supplies the caffeine benchmark for Q5 — 92% of college students consume caffeine.
Gabrish D. Caffeine use, hours of sleep, and academic performance of undergraduate college students. M.S. thesis, Kent State University, 2017.
A survey of 472 undergraduates measuring total caffeine intake (mg) and its relationship to sleep and academic performance. Supplies the 388 mg/day college-student average referenced in Q5 amount feedback. Single-campus master's thesis, included as the closest available US college-student caffeine consumption figure.
Dowdell EB, Clayton BQ. Interrupted sleep: College students sleeping with technology. Journal of American College Health. 2018;67(7):640–646.
A survey of 372 students at two US universities (data collected 2013). Supplies the phone-in-the-bedroom benchmark for Q7. Noted as a dated source — likely understates current device use.
Iao SI, Jansen E, Shedden K, O'Brien LM, Chervin RD, Knutson KL, Dunietz GL. Associations between bedtime eating or drinking, sleep duration and wake after sleep onset: findings from the American Time Use Survey. British Journal of Nutrition. 2022;127(12):1888–1897.
An analysis of 124,239 US residents aged 15+ from the American Time Use Survey (2003–2018). Supplies the late-night-eating benchmark for Q11 — roughly 8–9% of young adults eat within an hour of bedtime — and the finding that eating close to bedtime fragments sleep.
Wang CKJ, Teo WP, Gooley JJ, Chian LK, Burns SF, Mukherjee S, Chung HJ, Sumarta TT. Adolescents' sleep patterns, chronotype, social jetlag, school arrival time and sleep duration: Comparisons of three post-secondary education systems in Singapore. Acta Psychologica. 2025;260:105711.
A study of 2,732 Singapore post-secondary students aged 15–19. Supplies the social jet lag reference point for Q3 — an average social jet lag of just over 2 hours. Used as a reference point pending US quiz-taker data.
These ground the assessment's explanatory content and add credibility, but do not supply benchmark statistics.
Camargo A, et al. Sleep and Psychosocial Risk Factors Associated with Social Jet Lag and Sleep Duration Among Colombian University Students. Clocks & Sleep. 2025;7(4):64.
Supports the threshold used in the Q3 explanation — a gap of more than two hours between weekday and weekend sleep is treated in chronobiology research as meaningful circadian misalignment.
Fudolig MI, et al. Collective sleep and activity patterns of college students from wearable devices. npj Complexity. 2025;2:32.
A wearable-device study (Oura ring) of 582 first-year US college students. Supports the Q3 mechanism — social jet lag is widespread among college students, and weekend catch-up sleep does not fully repay weekday sleep debt.
Xian X, Wang C, Yu R, Ye M. Breakfast Frequency and Sleep Quality in College Students: The Multiple Mediating Effects of Sleep Chronotypes and Depressive Symptoms. Nutrients. 2023;15(12):2678.
Supports the Q11 breakfast mechanism — regular breakfast affects sleep indirectly, by anchoring circadian rhythm and supporting mood, rather than through a direct effect on sleep.
Mindfulness and stress among undergraduate students (mediation study). Journal of American College Health. 2025. doi:10.1080/07448481.2025.2533918.
A mediation study on stress in undergraduates. Supports the Q10 mechanism — the role of stepping back from racing thoughts (cognitive defusion) in managing bedtime stress.
Caffeine: Effects on sleep and academic performance in college students. Journal of Family and Child Health / British Journal of Child Health. 2022.
A literature review of caffeine use among college students. Reviews the adenosine mechanism behind caffeine's effect on sleep, supporting the Q5 explanation.
Social Jet-Lag in Tertiary Students Following a Modern Curriculum with Few Time-Tabled Contact Hours: A Pilot Study. 2020 (Maastricht University, n=52).
A pilot study showing that class scheduling drives social jet lag. Supports the Q3 mechanism; sample too small to serve as a benchmark.
National Health and Nutrition Examination Survey (NHANES). Centers for Disease Control and Prevention.
General-population US nutrition survey. Supports the Q13 context that magnesium is a widely-cited shortfall nutrient.
Published campus vitamin-D studies (various).
Multiple US campus studies estimate vitamin-D insufficiency among college students at roughly 30–60%, varying by latitude and season. Support the Q13 daylight and vitamin-D context.
Ye J, Jia X, Zhang J, Guo K. Effect of physical exercise on sleep quality of college students: Chain intermediary effect of mindfulness and ruminative thinking. Frontiers in Psychology. 2022;13:987537. doi:10.3389/fpsyg.2022.987537.
A survey of 1,006 college students (average age 19.95) using the Pittsburgh Sleep Quality Index. Supports the Q15 mechanism — physical exercise improves sleep quality primarily through psychological pathways: increased mindfulness and reduced ruminative thinking. The direct effect of exercise on sleep was not significant once these mediators were controlled, indicating the link runs through stress-reactivity and cognitive changes rather than physical fatigue. Supplies the central mechanism behind the Q15 explanation.
| Question | Source(s) |
|---|---|
| Q2 Weekday sleep | ACHA-NCHA Spring 2024 |
| Q3 Weekend sleep / social jet lag | ACHA-NCHA (weekend duration); Wang 2025 (social jet lag reference point); Camargo 2025 & Fudolig 2025 (mechanism) |
| Q4 Sleep quality & alertness | ACHA-NCHA Spring 2024 |
| Q5 Caffeine | Mahoney 2019 (consumes-or-not); Gabrish 2017 (388 mg/day average); caffeine review 2022 (timing mechanism — caffeine half-life) |
| Q6 Alcohol | ACHA-NCHA Spring 2024 |
| Q7 Screens before bed | Dowdell & Clayton 2018 (phone in bedroom); established sleep science (screen-light mechanism) |
| Q8 Bedroom environment | Established thermoregulation science (core body temperature & sleep onset) |
| Q9 Stress | ACHA-NCHA Spring 2024 |
| Q10 Bedtime mind | ACHA-NCHA (proxy); mindfulness mediation study 2025 (mechanism) |
| Q11 Eating | Iao 2022 (late-night eating); Xian 2023 (breakfast mechanism) |
| Q12 Gut-diversity diet | Established gut-microbiome science (gut-brain axis) |
| Q13 Nutrient diet | NHANES (magnesium); published campus vitamin-D studies |
| Q15 Movement & body | Ye 2022 (n=1,006 college students, indirect mechanism via mindfulness & reduced rumination) |
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