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04-05-2021 | Empirical Research

The Impact of Television, Electronic Games, and Social Technology Use on Sleep and Health in Adolescents with an Evening Circadian Preference

Auteurs: Nicole B. Gumport, Caitlin E. Gasperetti, Jennifer S. Silk, Allison G. Harvey

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 12/2021

Abstract

There are mixed findings when examining if technology use is harmful for adolescent sleep and health. This study builds on these mixed findings by examining the association between technology use with sleep and health in a high-risk group of adolescents. Adolescents with an evening circadian preference (N = 176; 58% female, mean age = 14.77, age range = 10–18) completed measures over one week. Sleep was measured via actigraphy. Technology use and health were measured using ecological momentary assessment. Technology use was associated with an increase in sleep onset latency; with better emotional, social, cognitive, and physical health; and with worse behavioral health. This study offers support for technology use having some benefits and expands research on technology use to adolescents with an evening circadian preference.

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Alleen toegankelijk voor geautoriseerde gebruikers

Anderson, M., & Jiang, J. (2018). Teens, Social Media, & Technology 2018. Pew Research Center.

Bartel, K. A., Gradisar, M., & Williamson, P. (2015). Protective and risk factors for adolescent sleep: a meta-analytic review. Sleep Medicine Reviews, 21, 72–85. https://doi.org/10.1016/j.smrv.2014.08.002. CrossRefPubMed

Bartel, K. & Gradisar, M. (2017). New directions in the link between technology use and sleep in young people. In S. Nevšímalová & O. Bruni (Eds.), Sleep Disorders in Children (pp. 69–80). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-28640-2_4.

Becker, S. P., Ramsey, R. R., & Byars, K. C. (2015). Convergent validity of the Child Behavior Checklist sleep items with validated sleep measures and sleep disorder diagnoses in children and adolescents referred to a sleep disorders center. Sleep Medicine, 16(1), 79–86. https://doi.org/10.1016/j.sleep.2014.09.008. CrossRefPubMed

Cain, N., & Gradisar, M. (2010). Electronic media use and sleep in school-aged children and adolescents: a review. Sleep Medicine, 11(8), 735–742. https://doi.org/10.1016/j.sleep.2010.02.006. CrossRefPubMed

Carney, C. E., Buysse, D. J., Ancoli-Israel, S., Edinger, J. D., Krystal, A. D., Lichstein, K. L., & Morin, C. M. (2012). The consensus sleep diary: standardizing prospective sleep self-monitoring. Sleep, 35(2), 287–302. https://doi.org/10.5665/sleep.1642. CrossRefPubMedPubMedCentral

Carskadon, M. A., Vieira, C., & Acebo, C. (1993). Association between puberty and delayed phase preference. Sleep, 16(3), 258–262. https://doi.org/10.1093/sleep/16.3.258. CrossRefPubMed

Casey, B. J., Heller, A. S., Gee, D. G., & Cohen, A. O. (2019). Development of the emotional brain. Neuroscience Letters, 693, 29–34. https://doi.org/10.1016/j.neulet.2017.11.055. CrossRefPubMed

Crowley, S. J., Wolfson, A. R., Tarokh, L., & Carskadon, M. A. (2018). An update on adolescent sleep: new evidence informing the perfect storm model. Journal of Adolescence, 67, 55–65. https://doi.org/10.1016/J.ADOLESCENCE.2018.06.001. CrossRefPubMedPubMedCentral

Dong, L., Gumport, N. B., Martinez, A. J., & Harvey, A. G. (2019). Is improving sleep and circadian problems in adolescence a pathway to improved health? a mediation analysis. Journal of Consulting and Clinical Psychology, 87, 757–771. CrossRefPubMedPubMedCentral

Fares, S., Hermens, D. F., Naismith, S. L., White, D., Hickie, I. B., & Robillard, R. (2015). Clinical correlates of chronotypes in young persons with mental disorders. Chronobiology International, 32(9), 1183–1191. https://doi.org/10.3109/07420528.2015.1078346. CrossRefPubMed

Frison, E., & Eggermont, S. (2016). Exploring the relationships between different types of facebook use, perceived online social support, and adolescents’ depressed mood. Social Science Computer Review, 34(2), 153–171. https://doi.org/10.1177/0894439314567449. CrossRef

Gao, Z., Chen, S., Pasco, D., & Pope, Z. (2015). A meta-analysis of active video games on health outcomes among children and adolescents. Obesity Reviews, 16(9), 783–794. https://doi.org/10.1111/obr.12287. CrossRefPubMed

Garmy, P., & Ward, T. M. (2018). Sleep habits and nighttime texting among adolescents. Journal of School Nursing, 34(2), 121–127. https://doi.org/10.1177/1059840517704964. CrossRef

George, M. J., Russell, M. A., Piontak, J. R., & Odgers, C. L. (2018). Concurrent and subsequent associations between daily digital technology use and high-risk adolescents’ mental health symptoms. Child Development, 89(1), 78–88. https://doi.org/10.1111/cdev.12819. CrossRefPubMed

Hale, L., & Guan, S. (2015). Screen time and sleep among school-aged children and adolescents: a systematic literature review. Sleep Medicine Reviews, 21, 50–58. https://doi.org/10.1016/j.smrv.2014.07.007. CrossRefPubMed

Harbard, E., Allen, N. B., Trinder, J., & Bei, B. (2016). What’s keeping teenagers up? prebedtime behaviors and actigraphy-assessed sleep over school and vacation. Journal of Adolescent Health, 58(4), 426–432. https://doi.org/10.1016/J.JADOHEALTH.2015.12.011. CrossRef

Harvey, A. G., Hein, K., Dolsen, M. R., Dong, L., Rabe-Hesketh, S., Gumport, N. B., & Blum, D. J. (2018). Modifying the impact of eveningness chronotype (“night-owls”) in youth: a randomized controlled trial. Journal of the American Academy of Child & Adolescent Psychiatry, 57(10), 742–754. https://doi.org/10.1016/J.JAAC.2018.04.020. CrossRef

Hasler, B. P., Soehner, A. M., & Clark, D. B. (2016). Sleep and circadian contributions to adolescent alcohol use disorder. Alcohol, 49(4), 377–387. https://doi.org/10.1016/j.alcohol.2014.06.010.Sleep. CrossRef

Holtz, P., & Appel, M. (2011). Internet use and video gaming predict problem behavior in early adolescence. Journal of Adolescence, 34(1), 49–58. https://doi.org/10.1016/j.adolescence.2010.02.004. CrossRefPubMed

Hysing, M., Pallesen, S., Stormark, K. M., Jakobsen, R., Lundervold, A. J., & Sivertsen, B. (2015). Sleep and use of electronic devices in adolescence: results from a large population-based study. BMJ Open, 5(1), e006748–e006748. https://doi.org/10.1136/bmjopen-2014-006748. CrossRefPubMedPubMedCentral

Hysing, M., Pallesen, S., Stormark, K. M., Lundervold, A. J., & Sivertsen, B. (2013). Sleep patterns and insomnia among adolescents: a population-based study. Journal of Sleep Research, 22(5), 549–556. https://doi.org/10.1111/jsr.12055. CrossRefPubMed

Kadzikowska-Wrzosek, R. (2018). Insufficient sleep among adolescents: the role of bedtime procrastination, chronotype and autonomous vs. controlled motivational regulations. Current Psychology, 1–10. https://doi.org/10.1007/s12144-018-9825-7

Kanning, M., & Schlicht, W. (2010). Be active and become happy: an ecological momentary assessment of physical activity and mood. Journal of Sport & Exercise Psychology, 32(2), 253–261. CrossRef

Kaufman, J., Birmaher, B., Brent, D., Rao, U., Flynn, C., Moreci, P., & Ryan, N. (1997). Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): initial reliability and validity data. Journal of the American Academy of Child and Adolescent Psychiatry, 36(7), 980–988. https://doi.org/10.1097/00004583-199707000-00021. CrossRefPubMed

Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2002). The PHQ-15: validity of a new measure for evaluating the severity of somatic symptoms. Psychosomatic Medicine, 64(2), 258–266. https://doi.org/10.1097/00006842-200203000-00008. CrossRefPubMed

Laurent, J., Catanzaro, S. J., Rudolph, K. D., Joiner, T. E., Potter, K. I., Lambert, S., & Gathright, T. (1999). A measure of positive and negative affect for children: scale development and preliminary validation. Psychological Assessment, 11(3), 326–338. https://doi.org/10.1037/1040-3590.11.3.326. CrossRef

Lorah, J. (2018). Effect size measures for multilevel models: definition, interpretation, and TIMSS example. Large-Scale Assessments in Education, 6, 8. https://doi.org/10.1186/s40536-018-0061-2. CrossRef

Malone, S. K., Zemel, B., Compher, C., Souders, M., Chittams, J., Thompson, A. L., & Lipman, T. H. (2016). Social jet lag, chronotype and body mass index in 14–17-year-old adolescents. Chronobiology International, 33(9), 1255–1266. https://doi.org/10.1080/07420528.2016.1196697. CrossRefPubMedPubMedCentral

March, J. S., Sullivan, K., & Parker, J. (1999). Test-retest reliability of the multidimensional anxiety scale for children. Journal of Anxiety Disorders, 13(4), 349–358. https://doi.org/10.1016/S0887-6185(99)00009-2. CrossRefPubMed

Matthews, K. A., Patel, S. R., Pantesco, E. J., Buysse, D. J., Kamarck, T. W., Lee, L., & Hall, M. H. (2018). Similarities and differences in estimates of sleep duration by polysomnography, actigraphy, diary, and self-reported habitual sleep in a community sample. Sleep Health, 4(1), 96–103. https://doi.org/10.1016/j.sleh.2017.10.011. CrossRefPubMed

May, K. E., & Elder, A. D. (2018). Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance. International Journal of Educational Technology in Higher Education, 15(1). https://doi.org/10.1186/s41239-018-0096-z

Nakagawa, S., & Cuthill, I. C. (2007). Effect size, confidence interval and statistical significance: a practical guide for biologists. Biological Reviews, 82(4), 591–605. https://doi.org/10.1111/j.1469-185X.2007.00027.x. CrossRefPubMed

Nikkelen, S. W. C., Valkenburg, P. M., Huizinga, M., & Bushman, B. J. (2014). Media use and ADHD-related behaviors in children and adolescents: a meta-analysis. Developmental Psychology, 50(9), 2228–2241. https://doi.org/10.1037/a0037318. CrossRefPubMed

Orben, A., Dienlin, T., & Przybylski, A. K. (2019). Social media’s enduring effect on adolescent life satisfaction. Proceedings of the National Academy of Sciences of the United States of America, 116(21), 10226–10228. https://doi.org/10.1073/pnas.1902058116. CrossRefPubMedPubMedCentral

Orben, A., & Przybylski, A. K. (2019a). Screens, teens, and psychological well-being: evidence from three time-use-diary studies. psychological science. https://doi.org/10.1177/0956797619830329

Orben, A., & Przybylski, A. K. (2019b). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2), 173–182. https://doi.org/10.1038/s41562-018-0506-1. CrossRefPubMed

Pieters, D., De Valck, E., Vandekerckhove, M., Pirrera, S., Wuyts, J., Exadaktylos, V., & Cluydts, R. (2014). Effects of pre-sleep media use on sleep/wake patterns and daytime functioning among adolescents: the moderating role of parental control. Behavioral Sleep Medicine, 12(6), 427–443. https://doi.org/10.1080/15402002.2012.694381. CrossRefPubMed

Poznanski, E. O., Grossman, J. A., Buchsbaum, Y., Banegas, M., Freeman, L., & Gibbons, R. (1984). Preliminary studies of the reliability and validity of the children’s depression rating scale. Journal of the American Academy of Child Psychiatry, 23(2), 191–197. https://doi.org/10.1097/00004583-198403000-00011. CrossRefPubMed

Przybylski, A. K., Orben, A., & Weinstein, N. (2019). How much is too much? examining the relationship between digital screen engagement and psychosocial functioning in a confirmatory cohort study. Journal of the American Academy of Child & Adolescent Psychiatry. https://doi.org/10.1016/j.jaac.2019.06.017

Quante, M., Kaplan, E. R., Cailler, M., Rueschman, M., Wang, R., Weng, J., & Redline, S. (2018). Actigraphy-based sleep estimation in adolescents and adults: a comparison with polysomnography using two scoring algorithms. Nature and Science of Sleep, 10, 13–20. https://doi.org/10.2147/NSS.S151085. CrossRefPubMedPubMedCentral

Rideout, V., & Robb, M. B. (2019). The common sense census: media use by tweens and teens, 2019. San Francisco, CA.

Russo, M. F., Stokes, G. S., Lahey, B. B., Christ, M. A. G., McBurnett, K., Loeber, R., & Green, S. M. (1993). A sensation seeking scale for children: further refinement and psychometric development. Journal of Psychopathology and Behavioral Assessment, 15(2), 69–86. https://doi.org/10.1007/BF00960609. CrossRef

Schlarb, A. A., Sopp, R., Ambiel, D., & Grünwald, J. (2014). Chronotype-related differences in childhood and adolescent aggression and antisocial behavior - A review of the literature. Chronobiology International, 31(1), 1–16. https://doi.org/10.3109/07420528.2013.829846. CrossRefPubMed

Short, M. A., Gradisar, M., Lack, L. C., Wright, H. R., & Dohnt, H. (2013). The sleep patterns and well-being of Australian adolescents. Journal of Adolescence, 36(1), 103–110. https://doi.org/10.1016/J.ADOLESCENCE.2012.09.008. CrossRefPubMed

Silk, J. S., Forbes, E. E., Whalen, D. J., Jakubcak, J. L., Thompson, W. K., Ryan, N. D., & Dahl, R. E. (2011). Daily emotional dynamics in depressed youth: A cell phone ecological momentary assessment study. Journal of Experimental Child Psychology, 110(2), 241–257. https://doi.org/10.1016/j.jecp.2010.10.007. CrossRefPubMed

Stephenson, M. T., Hoyle, R. H., Palmgreen, P., & Slater, M. D. (2003). Brief measures of sensation seeking for screening and large-scale surveys. Drug and Alcohol Dependence, 72(3), 279–286. https://doi.org/10.1016/j.drugalcdep.2003.08.003. CrossRefPubMed

Stone, A. A., Hufford, M. R., & Shiffman, S. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32. https://doi.org/10.1146/annurev.clinpsy.3.022806.091415. CrossRefPubMed

Trepte, S., Reinecke, L., & Juechems, K. (2012). The social side of gaming: how playing online computer games creates online and offline social support. Computers in Human Behavior, 28(3), 832–839. https://doi.org/10.1016/j.chb.2011.12.003. CrossRef

Twenge, J. M., Blake, A. B., Haidt, J., & Campbell, W. K. (2020). Commentary: screens, teens, and psychological well-being: evidence from three time-use-diary studies. Frontiers in Psychology, 11, 10–12. https://doi.org/10.3389/fpsyg.2020.00181. CrossRef

Twenge, J. M., Haidt, J., Joiner, T. E., & Campbell, W. K. (2020). Underestimating digital media harm. Nature Human Behaviour, 4(4), 346–348. https://doi.org/10.1038/s41562-020-0839-4. CrossRefPubMed

Twenge, J. M., Hisler, G. C., & Krizan, Z. (2019). Associations between screen time and sleep duration are primarily driven by portable electronic devices: evidence from a population-based study of U.S. children ages 0–17. Sleep Medicine, 56, 211–218. https://doi.org/10.1016/J.SLEEP.2018.11.009. CrossRefPubMed

Twenge, J. M., Martin, G. N., & Campbell, W. K. (2018). Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology. Emotion, 18(6), 765–780. https://doi.org/10.1037/emo0000403. CrossRefPubMed

Vernon, L., Modecki, K. L., & Barber, B. L. (2018). Mobile phones in the bedroom: trajectories of sleep habits and subsequent adolescent psychosocial development. Child Development, 89(1), 66–77. https://doi.org/10.1111/cdev.12836. CrossRefPubMed

Woods, H. C., & Scott, H. (2016). #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51, 41–49. https://doi.org/10.1016/j.adolescence.2016.05.008. CrossRefPubMed

Wu, Y.-J., Outley, C., Matarrita-Cascante, D., & Murphrey, T. P. (2015). A systematic review of recent research on adolescent social connectedness and mental health with internet technology use. Adolescent Research Review, 1(2), 153–162. https://doi.org/10.1007/s40894-015-0013-9. CrossRef

Titel: The Impact of Television, Electronic Games, and Social Technology Use on Sleep and Health in Adolescents with an Evening Circadian Preference
Auteurs: Nicole B. Gumport
Caitlin E. Gasperetti
Jennifer S. Silk
Allison G. Harvey
Publicatiedatum: 04-05-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Youth and Adolescence / Uitgave 12/2021
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI: https://doi.org/10.1007/s10964-021-01429-9

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