Sleep Difficulties among Mexican Adolescents: Subjective and Objective Assessments of Sleep

Zamora, Astrid N.; Arboleda-Merino, Laura; Téllez‐Rojo, Martha María; O’Brien, Louise M.; Torres-Olascoaga, Libni A.; Peterson, Karen E.; Banker, Margaret; Fossee, Erica; Song, Peter; Cantoral, Alejandra; Roberts, Elizabeth; Jansen, Erica C.

doi:10.1080/15402002.2021.1916497

Cited by 9 publications

(1 citation statement)

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“…Several studies have shown that increased video game usage is usually associated with poorer sleep, including a shorter total sleep time (TST), greater sleep onset latency (SOL; i.e., time to fall asleep), and greater subjective sleepiness ratings (SS) (Hale & Guan, 2015; Peracchia & Curcio, 2018). Greater daily screen time (including video game playing) is related to a later sleep midpoint (SM; i.e., halfway point between bedtime and waketime) and greater sleep fragmentation (Zamora et al, 2022). However, the relationship between video game usage and sleep may be weak in magnitude.…”

Section: Introductionmentioning

confidence: 99%

Using a frequentist and Bayesian approach to examine video game usage, substance use, and sleep among college students

Asbee

Slavish

Taylor

et al. 2023

Journal of Sleep Research

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Summary Video games are a popular form of entertainment. However, there is mixed evidence for the association between video game usage and poor sleep quality, short sleep duration, or delayed sleep timing. The current study examined associations between daily sleep behaviours and video game usage via a Bayesian and frequentist statistical approach. Caffeine and alcohol consumption were also assessed as moderators, as these behaviours may co‐occur with video game usage and poor sleep. 1032 (72% female) undergraduate students were recruited between 2006–2007. Participants completed questionnaires examining video game and substance use, as well as sleep diaries for 1 week. Frequentist analyses revealed that video game usage was related to increased variability in the total sleep time, and a later average sleep midpoint, but not sleep efficiency. Alcohol use moderated the relationships between video game usage and both average and variability in total sleep time. Caffeine use was related to shorter average total sleep time and more variability in sleep efficiency. Alcohol consumption was related to more variability in the total sleep time and sleep midpoint, and a later average sleep midpoint. Bayesian models suggested strong evidence that video game playing was associated with later average sleep midpoint. Like the frequentist approach, alcohol consumption moderated the relationship between video game usage and both average and variability in total sleep time, but the evidence was weak. The effect sizes for both approaches tended to be small. Using a rigorous statistical approach and a large sample, this study provides robust evidence that video game usage may not be strongly associated with poor sleep among undergraduate students.

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Section: Introductionmentioning

confidence: 99%