Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-25T17:34:22.899Z Has data issue: false hasContentIssue false
  • English
  • Français

Effects of Partial Sleep Deprivation on Information Processing Speed in Adolescence

Published online by Cambridge University Press:  19 February 2016

Mairav Cohen-Zion ,
Adi Shabi ,
Sigal Levy ,
Laura Glasner  and
Avigail Wiener
Mairav Cohen-Zion*
Affiliation:
School of Behavioral Sciences, the Academic College of Tel Aviv-Jaffa, Israel
Adi Shabi
Affiliation:
School of Behavioral Sciences, the Academic College of Tel Aviv-Jaffa, Israel
Sigal Levy
Affiliation:
School of Behavioral Sciences, the Academic College of Tel Aviv-Jaffa, Israel
Laura Glasner
Affiliation:
Department of Psychology, University of Haifa, Israel
Avigail Wiener
Affiliation:
Department of Psychology, University of Haifa, Israel
*
Correspondence and reprint requests to: Mairav Cohen-Zion, School of Behavioral Sciences, The Academic College of Tel Aviv-Jaffa, 2 Rabenu Yeruham Street, Tel Aviv-Jaffa, 61083, Israel. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Objectives: Although chronic sleep loss is highly common among teens, few objective sleep studies have examined its effects on cognitive performance, and specifically on information processing speed (IPS), a measure of cognitive proficiency. Methods: Forty-five adolescents underwent four consecutive nights of monitored sleep restriction (6–6.5 hr/night) and four nights of sleep extension (10–10.5 hr/night), in counterbalanced order, and separated by a washout period. Following each sleep period, cognitive performance was assessed, at a fixed morning time, using a computerized neuropsychological battery including an IPS task, a timed test providing both accuracy and reaction time outcome measures. Results: Overall IPS performance was poorer in the restricted when compared to the extended condition. Increasing task load and pace were associated with increased accuracy for both sleep conditions. However, a significant pace by load interaction effect was only found in the extended condition, with post hoc tests showing that for medium and hard loads, IPS accuracies were better with increasing pace of task. Differences in IPS reaction times were not found between the sleep conditions. In addition, sleep-related changes in IPS indices were correlated with changes in executive function, motor skill, and attention performance. Conclusions: Adolescents’ ability to process information may be especially vulnerable to sleep loss. Under ideal sleep conditions, however, they seem to be able to achieve optimal performance, particularly on more challenging problems. The functional implications of these findings may be particularly relevant to teens, who are often sleep deprived and are constantly required to process academic, social, and emotional input. (JINS, 2016, 22, 388–398)

Keywords

DevelopmentCognitionAdolescentExperimental designReaction timeTask performance
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 22 , Issue 4 , April 2016 , pp. 388 - 398
Copyright
Copyright © The International Neuropsychological Society 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anderson, B., Storfer-Isser, A., Taylor, H.G., Rosen, C.L., & Redline, S. (2009). Associations of executive function with sleepiness and sleep duration in adolescents. Pediatrics, 123(4), e701–e707. doi:10.1542/peds.2008-1182 CrossRefGoogle ScholarPubMed
Beck, A.T., Ward, C.H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4, 561–571.CrossRefGoogle ScholarPubMed
Beebe, D.W. (2011). Cognitive, behavioral, and functional consequences of inadequate sleep in children and adolescents. Pediatric Clinics of North America, 58(3), 649–665. doi:10.1016/j.pcl.2011.03.002 CrossRefGoogle ScholarPubMed
Blagrove, M., Alexander, C., & Horne, J.A. (1995). The effects of chonic sleep reduction on the performance of cogntive tasks sensitive to sleep deprivation. Applied Cognitive Psychology, 9, 21–40.Google Scholar
Brand, S., & Kirov, R. (2011). Sleep and its importance in adolescence and in common adolescent somatic and psychiatric conditions. International Journal of General Medicine, 4, 425–442. doi:10.2147/IJGM.S11557 Google Scholar
Buckhalt, J.A., El-Sheikh, M., & Keller, P. (2007). Children’s sleep and cognitive functioning: Race and socioeconomic status as moderators of effects. Child Development, 78(1), 213–231. doi:10.1111/j.1467-8624.2007.00993.x CrossRefGoogle ScholarPubMed
Carskadon, M.A., & Acebo, C. (2002). Regulation of sleepiness in adolescents: Update, insights, and speculation. Sleep, 25(6), 606–614.CrossRefGoogle ScholarPubMed
Carskadon, M.A., Harvey, K., & Dement, W.C. (1981). Sleep loss in young adolescents. Sleep, 4(3), 299–312.Google Scholar
Carskadon, M.A., Harvey, K., Duke, P., Anders, T.F., Litt, I.F., & Dement, W.C. (1980). Pubertal changes in daytime sleepiness. Sleep, 2(4), 453–460.Google Scholar
Chiou, S.S., Jang, R.C., Liao, Y.M., & Yang, P. (2010). Health-related quality of life and cognitive outcomes among child and adolescent survivors of leukemia. Supportive Care in Cancer, 18(12), 1581–1587. doi:10.1007/s00520-009-0781-5 CrossRefGoogle ScholarPubMed
Conners, C.K., Wells, K.C., Parker, J.D., Sitarenios, G., Diamond, J.M., & Powell, J.W. (1997). A new self-report scale for assessment of adolescent psychopathology: Factor structure, reliability, validity, and diagnostic sensitivity. Journal of Abnormal Child Psychology, 25(6), 487–497.Google Scholar
Coyle, T.R., Pillow, D.R., Snyder, A.C., & Kochunov, P. (2011). Processing speed mediates the development of general intelligence (g) in adolescence. Psychological Science, 22(10), 1265–1269. doi:10.1177/0956797611418243 CrossRefGoogle ScholarPubMed
Crowley, S.J., Acebo, C., & Carskadon, M.A. (2007). Sleep, circadian rhythms, and delayed phase in adolescence. Sleep Medicine, 8(6), 602–612. doi:10.1016/j.sleep.2006.12.002 CrossRefGoogle ScholarPubMed
De Gennaro, L., Ferrara, M., Curcio, G., & Bertini, M. (2001). Visual search performance across 40 h of continuous wakefulness: Measures of speed and accuracy and relation with oculomotor performance. Physiology & Behavior, 74(1-2), 197–204.Google Scholar
Dewald-Kaufmann, J.F., Oort, F.J., & Meijer, A.M. (2013). The effects of sleep extension on sleep and cognitive performance in adolescents with chronic sleep reduction: An experimental study. Sleep Medicine, 14(6), 510–517. doi:10.1016/j.sleep.2013.01.012 CrossRefGoogle ScholarPubMed
Dwolatzky, T., Whitehead, V., Doniger, G.M., Simon, E.S., Schweiger, A., Jaffe, D., & Chertkow, H. (2003). Validity of a novel computerized cognitive battery for mild cognitive impairment. BMC Geriatrics, 3, 4. doi:10.1186/1471-2318-3-4 Google Scholar
Feinberg, I., & Campbell, I.G. (2010). Sleep EEG changes during adolescence: An index of a fundamental brain reorganization. Brain and Cognition, 72(1), 56–65. doi:10.1016/j.bandc.2009.09.008 CrossRefGoogle ScholarPubMed
Gradisar, M., Gardner, G., & Dohnt, H. (2011). Recent worldwide sleep patterns and problems during adolescence: A review and meta-analysis of age, region, and sleep. Sleep Medicine, 12(2), 110–118. doi:10.1016/j.sleep.2010.11.008 CrossRefGoogle ScholarPubMed
Iglowstein, I., Jenni, O.G., Molinari, L., & Largo, R.H. (2003). Sleep duration from infancy to adolescence: Reference values and generational trends. Pediatrics, 111(2), 302–307.CrossRefGoogle ScholarPubMed
Jensen, A.R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger.Google Scholar
Jensen, A.R., & Weng, Li-Jen. (1994). What is a good g? Intelligence, 18(3), 231–258.Google Scholar
Johnson, N.L., Kirchner, H.L., Rosen, C.L., Storfer-Isser, A., Cartar, L.N., Ancoli-Israel, S., & Redline, S. (2007). Sleep estimation using wrist actigraphy in adolescents with and without sleep disordered breathing: A comparison of three data modes. Sleep, 30(7), 899–905.CrossRefGoogle ScholarPubMed
Kail, R. (2000). Speed of information processing: Developmental change and links to intelligence. Journal of School Psychology, 38(1), 51–61.CrossRefGoogle Scholar
Kail, R., & Salthouse, T.A. (1994). Processing speed as a mental capacity. Acta Psycholgica (Amst), 86(2-3), 199–225.Google Scholar
Leger, D., Beck, F., Richard, J.B., & Godeau, E. (2012). Total sleep time severely drops during adolescence. PLoS One, 7(10), e45204. doi:10.1371/journal.pone.0045204 Google Scholar
Leitner, Y., Doniger, G.M., Barak, R., Simon, E.S., & Hausdorff, J.M. (2007). A novel multidomain computerized cognitive assessment for attention-deficit hyperactivity disorder: Evidence for widespread and circumscribed cognitive deficits. Journal of Child Neurology, 22(3), 264–276. doi:10.1177/0883073807299859 Google Scholar
Lim, J., & Dinges, D.F. (2010). A meta-analysis of the impact of short-term sleep deprivation on cognitive variables. Psychological Bulletin, 136(3), 375–389. doi:10.1037/a0018883 Google Scholar
Loessl, B., Valerius, G., Kopasz, M., Hornyak, M., Riemann, D., & Voderholzer, U. (2008). Are adolescents chronically sleep-deprived? An investigation of sleep habits of adolescents in the Southwest of Germany. Child Care Health and Development, 34(5), 549–556. doi:10.1111/j.1365-2214.2008.00845.x Google Scholar
Louca, M., & Short, M.A. (2014). The effect of one night’s sleep deprivation on adolescent neurobehavioral performance. Sleep, 37(11), 1799–1807. doi:10.5665/sleep.4174 Google Scholar
Melton, J.L. (2006). Psychometic evaluation of the mindstreams neuropsychological screening tool. NEDU Technical Report No. 06-10. Panama City, FL: Naval Experimental Diving Unit.Google Scholar
National Sleep Foundation. (2006). Sleep in America poll: Teens and sleep. Arlington, VA: National Sleep Foundation.Google Scholar
NeuroTrax Corporation. (2013). Mindstreams Global Assessment Battery: Guide to normative data. Newark, NJ: NeuroTrax Corporation.Google Scholar
Ortega, F.B., Ruiz, J.R., Castillo, R., Chillon, P., Labayen, I., Martinez-Gomez, D., & Moreno, L.A. (2010). Sleep duration and cognitive performance in adolescence. The AVENA study. Acta Paediatrica, 99(3), 454–456. doi:10.1111/j.1651-2227.2009.01618.x Google Scholar
Perlis, M.L., Jungquist, C., Smith, M.T., & Posner, D. (2005). Cognitive behavioral treatment of insomnia. New York, NY: Springer Science.Google Scholar
Pilcher, J.J., Band, D., Odle-Dusseau, H.N., & Muth, E.R. (2007). Human performance under sustained operations and acute sleep deprivation conditions: Toward a model of controlled attention. Aviation Space and Environmental Medicine, 78(5 Suppl.), B15–B24.Google Scholar
Pilcher, J.J., & Huffcutt, A.I. (1996). Effects of sleep deprivation on performance: A meta-analysis. Sleep, 19(4), 318–326.Google Scholar
Randazzo, A.C., Muehlbach, M.J., Schweitzer, P.K., & Walsh, J.K. (1998). Cognitive function following acute sleep restriction in children ages 10-14. Sleep, 21(8), 861–868.Google Scholar
Roenneberg, T., Kuehnle, T., Pramstaller, P.P., Ricken, J., Havel, M., Guth, A., & Merrow, M. (2004). A marker for the end of adolescence. Current Biology, 14(24), R1038–R1039. doi:10.1016/j.cub.2004.11.039 Google Scholar
Salthouse, T.A., & Kail, A.C. (1983). Memory development throughout the lifespan: The role of processing rate. In P.B. Baltes, (Ed.), Life span development and behavior, (Vol. 10, pp. 89–116). New York: Academic Press.Google Scholar
Schweiger, A., Abramovitch, A., Doniger, G.M., & Simon, E.S. (2007). A clinical construct validity study of a novel computerized battery for the diagnosis of ADHD in young adults. Journal of Clinical and Experimental Neuropsychology, 29(1), 100–111. doi:10.1080/13803390500519738 Google Scholar
Schweiger, A., Doniger, G.M., Dwolatzky, T., & Jaffe, D. (2003). Reliability of a novel computerized neuropsychologicla battery for mild cognitive impairement. Acta Neuropsychologica, 1(4), 407–413.Google Scholar
Shochat, T., Cohen-Zion, M., & Tzischinsky, O. (2014). Functional consequences of inadequate sleep in adolescents: A systematic review. Sleep Medicine Reviews, 18, 75–97. doi:10.1016/j.smrv.2013.03.005 Google Scholar
Spielberger, C.D. (1968). Manual for State-Trait Anxiety Inventory. Translation: Drs. Yona Tacheiman and Haim Melnick (Tel Aviv University, 1984). Palo Alto, CA: Consulting Psychologists Press.Google Scholar
Van Dongen, H.P., Maislin, G., Mullington, J.M., & Dinges, D.F. (2003). The cumulative cost of additional wakefulness: Dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. Sleep, 26(2), 117–126.Google Scholar
Wilkinson, R.T. (1969). Some factors influencing the effect of environmental stresses upon performance. Psychological Bulletin, 72, 260–272.Google Scholar
Wolfson, A.R., Carskadon, M.A., Acebo, C., Seifer, R., Fallone, G., Labyak, S.E., & Martin, J.L. (2003). Evidence for the validity of a sleep habits survey for adolescents. Sleep, 26(2), 213–216.Google Scholar