Mechanisms influencing older adolescents' bedtimes during videogaming: the roles of game difficulty and flow

• Published in: Sleep medicine Vol. 39; pp. 70 - 76
• Main Authors: Smith, Lisa J., King, Daniel L., Richardson, Cele, Roane, Brandy M., Gradisar, Michael
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.11.2017
• Subjects: Adolescent; Adolescent Behavior - psychology; Bedtime; Female; Flow; Heart Rate - physiology; Humans; Male; Sleep; Sleep - physiology; Surveys and Questionnaires; Technology use; Time Factors; Video Games - psychology; Video Games - statistics & numerical data; Videogaming; Bedtime; Sleep; Videogaming; Technology use; Adolescent; Flow
• ISSN: 1389-9457; 1878-5506
• DOI: 10.1016/j.sleep.2017.09.002

A relationship between evening technology use and sleep has been established, and models suggest various mechanisms to explain this relationship. Recent updates to these models also suggest the influence of individual difference factors, such that the relationship between technology and sleep varies between young people. Flow is an experience of immersion and time distortion that could vary between adolescents when using technology. The aim of the present study was to investigate the effects of flow on the self-selected bedtimes of adolescents when videogaming. Seventeen older adolescent, experienced videogamers (age = 15.9 ± 0.83 years), played a new videogame on two school-night evenings in a sleep laboratory. Game difficulty was set to “hard” one evening (flow condition) and “easy” on the other evening (disrupted flow). Trait and state flow were measured, along with heart rate during videogaming, and bedtime measured objectively with real-time cameras. An interaction effect for heart rate indicated an elevated heart rate in the easy condition after 150 min of gaming (p < 0.02). No significant differences were found in bedtimes between the easy and hard conditions (p = 0.77). Adolescents high on trait flow played for longer and selected significantly later bedtimes than their low trait flow peers but only for the hard (flow) condition (12:22 AM vs. 10:53 PM, p = 0.004). Similarly, adolescents with high state flow went to bed significantly later than those low on state flow (12:24 PM vs. 10:52 PM, p = 0.001), again only in the hard condition. These findings suggest that individual and situational characteristics may amplify the effects of technology use on the “sleep” of adolescents and provides support for the displacement of bedtime hypothesis. •Flow during videogaming is a balanced state between challenge and engagement.•Flow may be observed, as evidenced by differences in heart rate after 150 min of videogaming•Game difficulty that engenders a flow state does not by itself affect adolescents' bedtimes.•Adolescents with high trait flow have later bedtimes when game difficulty is balanced.•Adolescents with high state flow have later bedtimes when game difficulty is balanced.