The DOI matches its Crossref record; 24 of the 25 references it cites were found in a registry or an index.
Sociodemographic and Behavioral Predictors of Bed Time and Wake Time among US Adolescents Aged 15 to 17 Years
Open accessAbstract
Objective To examine bed times and wake times in US adolescents aged 15 to 17 years using time diaries to determine whether adolescent sleep has changed in recent years and what factors determine bed times and wake times.Study design Time diary analysis using 2 national probability samples: 1981 Time Use Longitudinal Panel Study (n = 130) and 2003-2006 American Time Use Survey (n = 2978).Results Average time in bed on school days was about 8 hours and was 1 to 2 hours longer on non-school days. Bed times and wake times were similar in 1981 and 2003-2006. Sociodemographic factors and daytime activities, specifically computer use and social activities, predicted bed time. On school days, school start time was the strongest predictor of wake time. Every hour earlier that school started, wake time was about 25 minutes earlier.Conclusions Adolescents spent less than the recommended 9 hours in bed on school days. There is no evidence that this is a recent change in bed times and wake times, however. Although many factors influence bed time, school start time is the strongest determinant of wake time on school days. Increased computer use and earlier school days may be contributing to insufficient sleep in adolescents.
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“Rise times, on the other hand, are primarily determined by a single factor—school start times.43”
From School Start Times, Sleep, Behavioral, Health, and Academic Outcomes: a Review of the Literature (2016) · cites this paper as [43]
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“External factors that contribute to later bedtimes among adolescents include an increase in schoolwork; participation in afterschool activities, including employment; fewer parent-set bedtimes; and late-night use of technology in the bedroom.39–43”
From School Start Times, Sleep, Behavioral, Health, and Academic Outcomes: a Review of the Literature (2016) · cites this paper as [43]
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Citations
Cites
Principles and Practice of Sleep Medicine
Kryger, M. H., Roth, T. G., & Dement, W. C. (2011) · Elsevier eBooks · doi:10.1016/c2009-0-59875-3 · Cited by 5,118
Sleep Schedules and Daytime Functioning in Adolescents
Wolfson, A. R., & Carskadon, M. A. (1998) · Child Development · doi:10.1111/j.1467-8624.1998.tb06149.x · Cited by 1,676
Sleep loss: a novel risk factor for insulin resistance and type 2 diabetes
Spiegel, K., Knutson, K., Leproult, R., Tasali, E., & Cauter, E. V. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00660.2005 · Cited by 1,175
Self-citationSudman, S., Juster, F. T., & Stafford, F. P. (1987) · Journal of the American Statistical Association · doi:10.2307/2289193 · Cited by 872
Characteristics of crashes attributed to the driver having fallen asleep.
Pack, A., Pack, A. M., Rodgman, E., Cucchiara, A., Dinges, D., & Schwab, C. (1995) · Accident Analysis and Prevention · doi:10.1016/0001-4575(95)00034-8 · Cited by 575
Sleep/Wake Disorders: Natural History, Epidemiology, and Long-Term Evolution.
(1984) · Annals of Internal Medicine · doi:10.7326/0003-4819-100-4-629_1 · Cited by 488
Is obesity associated with poor sleep quality in adolescents?
Gupta, N. K., Mueller, W. H., Chan, W., & Meininger, J. C. (2002) · American Journal of Human Biology · doi:10.1002/ajhb.10093 · Cited by 438
Cognitive Function Following Acute Sleep Restriction in Children Ages 10–14
(1998) · Sleep · doi:10.1093/sleep/21.8.861 · Cited by 430
Television-viewing Habits and Sleep Disturbance in School Children
Owens, J., Maxim, R. A., McGuinn, M., Hart, C. N., Msall, M. E., & Alario, A. J. (1999) · PEDIATRICS · doi:10.1542/peds.104.3.e27 · Cited by 427
Fatigue, sleep restriction and driving performance
Philip, P., Sagaspe, P., Moore, N. D., Taillard, J., Charles, A., Guilleminault, C., & Bioulac, B. H. (2005) · Accident Analysis & Prevention · doi:10.1016/j.aap.2004.07.007 · Cited by 403
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Sociodemographic, Psychosocial, and Contextual Factors in Children’s Sleep
Hale, L. E., & James, S. (2017) · National symposium on family issues · doi:10.1007/978-3-319-64780-7_7 · Cited by 4
Sleep Duration and Childhood Obesity: Moving from Research to Practice
Hale, L. E., & Berger, L. M. (2011) · SLEEP · doi:10.5665/sleep.1226 · Cited by 4
Dollman, J., Matricciani, L., Booth, V., & Blunden, S. L. (2017) · Acta Paediatrica · doi:10.1111/apa.13917 · Cited by 4
Sugimoto, M., Murakami, K., & Sasaki, S. (2023) · Journal of Nutritional Science · doi:10.1017/jns.2022.116 · Cited by 3
Usage of Social Media by Children and Teenagers
Velicu, A., & Marinescu, V. (2019) · IGI Global eBooks · doi:10.4018/978-1-5225-8900-6.ch008 · Cited by 3
Kim, Y.-S., & Lee, S.-Y. (2017) · 교과교육학연구 · doi:10.24231/rici.2017.21.6.666 · Cited by 3
Chae, M.-O. (2017) · Journal of the Korea Academia-Industrial cooperation Society · doi:10.5762/kais.2017.18.6.343 · Cited by 3
Complexités du diagnostic d’insomnie à l’adolescence et considérations à propos de ses conséquences
Julian, M., de Kernier, N., & Camart, N. (2020) · Neuropsychiatrie de l Enfance et de l Adolescence · doi:10.1016/j.neurenf.2020.10.009 · Cited by 3
High academic performance is associated with shorter sleep and later bedtimes for young adultsPreprint
Dokuka, S., & Smirnov, I. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.07806 · Cited by 3
School start times and racial disparities in early adolescent sleep
Yip, T., Yan, J., Zhang, M., Wang, Y., Zhao, Z., Cham, H., & Alegria, M. M. (2025) · Sleep Health · doi:10.1016/j.sleh.2025.07.003 · Cited by 2
Monterastelli, A. J., Misiunaite, I., Eastman, C. I., & Crowley, S. J. (2026) · Scientific Reports · doi:10.1038/s41598-026-37985-y · Cited by 2
Le sommeil des adolescents québécois et la problématique suicidaire : des liens à faire ?
Pépin, K., & Desjardins, S. (2017) · Revue québécoise de psychologie · doi:10.7202/1041844ar · Cited by 3
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.008 · Cited by 2
Carmona, N. E., Kutana, S., Sumantry, D. M., Marway, O. S., Carney, A. E., Amestoy, M. E., Usyatynsky, A., & Carney, C. E. (2024) · Australian Journal of Psychology · doi:10.1080/00049530.2024.2408019 · Cited by 1
Addo, P. N. O., Liese, A. D., Zhang, J., Weaver, G., Merchant, A. T., & Brown, M. J. (2026) · Discover Public Health · doi:10.1186/s12982-026-01719-2 · Cited by 1
Sleep Is Integral to School Health and Adolescent Wellbeing: An Evidence‐Based Call to Action
Saletin, J., Ziporyn, T. D., Wolfson, A. R., & Crowley, S. J. (2026) · Journal of School Health · doi:10.1111/josh.70251 · Cited by 1
RUTINAS DE SUEÑO Y AJUSTE ADOLESCENTE
Delgado, A. O., Flores, C. R., Ángel, M., & Vega, P. (2011) · Psicología conductual = behavioral psychology: Revista internacional de psicología clínica y de la salud · Cited by 1
Biological clock vs Social clock conflict in Adolescents
Verma, P., Yadav, A., Rani, S., & Malik, S. (2021) · Journal of Applied and Natural Science · doi:10.31018/jans.v13i1.2571 · Cited by 1
Activities and social contact as antecedents to sleep onset time in U.S. adolescents
Jones, B. L., & Wikle, J. S. (2023) · Journal of Research on Adolescence · doi:10.1111/jora.12857 · Cited by 1
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.006 · Cited by 1
Sociodemographic disparities in sedentary time among US youth vary by period of the day
Santiago-Rodríguez, M. E., Chen, J., Pfeiffer, K. A., Márquez, D. X., & Bustamante, E. E. (2024) · PLoS ONE · doi:10.1371/journal.pone.0296515 · Cited by 1
Usage of Social Media by Children and Teenagers
Velicu, A., & Marinescu, V. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-2970-7.ch008 · Cited by 1
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.002 · Cited by 1
(2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.011 · Cited by 1
A Confirmatory Factor Analysis of the Children's Report of Sleep Patterns
Poppert, K. M. (2015) · KU ScholarWorks (The University of Kansas)
Lange, A. K. (2016) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-5541
The Implications of Adolescent Neuroscience on Policy
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.009
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.010
Cognitive Neuroscience Methods to Study the Adolescent Brain
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.004
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.001
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.005
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.003
Galván, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316106143.007
Addictions et groupes spécifiques : les adolescents, les personnes âgées et les femmes
Graziani, P., & Romo, L. (2023) · Elsevier eBooks · doi:10.1016/b978-2-294-77964-0.00005-2
The Effect of Online Gaming Addiction on Chronotype and Cognitive FlexibilityPreprint
Mujitaba, A., Sajjad, F., & Shamas, K. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4891492
Crowley, S. J., & Carskadon, M. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-75566-5.00004-6
Association Between Adequate Sleep and Participation in Occupational Areas in School-Age Children
Ha, Y.-N., Park, S., Roh, G., Kim, J., Kim, E., & Hong, I. (2024) · OTJR Occupational Therapy Journal of Research · doi:10.1177/15394492241271154
The OWL Screening Tool—A Protocol for Holistic Pediatric Lifestyle Assessment
Auffermann, A., & Auffermann, W. (2025) · Healthcare · doi:10.3390/healthcare13212731
Santiago-Rodríguez, M. E., Chen, J., Pfeiffer, K. A., Márquez, D. X., Odoms-Young, A., & Bustamante, E. E. (2022) · Figshare · doi:10.6084/m9.figshare.21524278
Santiago-Rodríguez, M. E., Chen, J., Pfeiffer, K. A., Márquez, D. X., Odoms-Young, A., & Bustamante, E. E. (2022) · Figshare · doi:10.6084/m9.figshare.21524275
Santiago-Rodríguez, M. E., Chen, J., Pfeiffer, K. A., Márquez, D. X., Odoms-Young, A., & Bustamante, E. E. (2022) · Figshare · doi:10.6084/m9.figshare.21524266
Santiago-Rodríguez, M. E., Chen, J., Pfeiffer, K. A., Márquez, D. X., Odoms-Young, A., & Bustamante, E. E. (2022) · Figshare · doi:10.6084/m9.figshare.21524269
Fonctionnement psychique de l’adolescent présentant une insomnie chronique sans comorbidité
Julian, M. (2021) · theses.fr (ABES) · doi:10.70675/83087b09z77f0z45a9z86fczd48038575d91
Thilges, H., Phillips, E. M., Goldberg, E. L., Brock, R. L., Nelson, J. M., Mason, W. A., Espy, K. A., & Nelson, T. D. (2026) · Child Neuropsychology · doi:10.1080/09297049.2026.2689594
Bellmont-Olson, L. M., Wright, M., Müller‐Oehring, E. M., Baker, F. C., Kiss, O., Pohl, K. M., Gotlib, I. H., & Schulte, T. (2026) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2026.101129
Yan, X., Ma, Z., Zhang, Y., Zhou, Y., & Wang, C. (2026) · Health Communication · doi:10.1080/10410236.2026.2724342
Metadata
- Authors
- Knutson, K. L., & Lauderdale, D. S.
- Affiliations
- University of Chicago (US)
- Corresponding author
- Lauderdale, Diane S.
- ORCID
- Knutson, Kristen L.
- Venue
- The Journal of Pediatrics
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 154
- Issue
- 3
- Pages
- 426-430.e1
- ISSN
- 0022-3476 (ISSN-L)
- PMC
- PMC2783185
- OpenAlex
- W1990393865
- Cited by
- 147
- References
- 25
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 10 · 2023: 5 · 2022: 13 · 2021: 9 · 2020: 8 · 2019: 9 · 2018: 15 · 2017: 14 · 2016: 5 · 2015: 13 · 2014: 12 · 2013: 6 · 2012: 5
- FWCI
- 5.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Journal of Pediatrics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL082907)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- adolescent sleep, wake time, sleep duration, school start time, computer use, social activity, sociodemographic predictors, time use, insufficient sleep, time diaries
- MeSH terms
- Adolescent, Adolescent Behavior, Computers, Demography, Female, Health Surveys, Humans, Longitudinal Studies, Male, Schools, Sleep, Social Behavior, Time Factors, United States, Wakefulness
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