Bedtime social media use, sleep, and affective wellbeing in young adults: an experience sampling study

Das-Friebel, Ahuti; Lenneis, Anita; Realo, Anu; Sanborn, Adam N.; Tang, Nicole K. Y.; Wolke, Dieter; Mühlenen, Adrian von; Lemola, Sakari

doi:10.1111/jcpp.13326

Cited by 37 publications

(50 citation statements)

References 51 publications

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“…Surprisingly, there were no within‐person effects of individual fluctuations in social media use or physical activity compared to a person's usual amount on daily sleep outcomes over this short‐term period, which is consistent with some prior studies (Das‐Friebel et al, 2020 ; Youngstedt et al, 2003 ). However, our findings indicate that girls who use more social media and engage in less physical activity on average report going to sleep later than their peers, and those with higher levels of video chatting have shorter sleep duration.…”

Section: Discussionsupporting

confidence: 90%

Daily and average associations of physical activity, social media use, and sleep among adolescent girls during the COVID‐19 pandemic

Hamilton

Hutchinson

Evankovich

et al. 2022

Journal of Sleep Research

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Summary Adolescents’ daily lives have been disrupted during the Coronavirus disease 2019 (COVID‐19) pandemic. It remains unclear how changes in adolescents’ daily physical and social behaviours affect their sleep. The present study examined the daily and average effects of physical activity and social media use (i.e., video chatting, texting, and social networking sites) on adolescent girls’ sleep during the COVID‐19 pandemic. Adolescent girls aged 12–17 years ( N = 93; 69% White) from a larger longitudinal study completed a 10‐day daily diary protocol during state‐mandated stay‐at‐home orders. Girls reported on daily sleep (duration, timing, quality), physical activity, and social media use during COVID‐19. Multilevel modelling was used to examine the within‐ and between‐person effects of physical activity and social media on sleep duration, timing, and quality during the 10‐day period. Between‐person associations indicate that youth with greater social media use (texting, video chatting, and social networking) and less physical activity had later sleep timing across the 10‐day study period. Only video chatting was associated with shorter sleep duration. There were no within‐person effects of physical activity or social media activities on sleep outcomes. Findings indicate that physical activity and social media use may impact later adolescent sleep timing during the COVID‐19 pandemic. It will be critical for research to examine the potential long‐term costs of delayed sleep timing, and whether targeting specific youth behaviours associated with sleep and circadian disruption improve mental and physical health during the COVID‐19 pandemic and beyond.

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Section: Discussionsupporting

confidence: 90%

Daily and average associations of physical activity, social media use, and sleep among adolescent girls during the COVID‐19 pandemic

Hamilton

Hutchinson

Evankovich

et al. 2022

Journal of Sleep Research

View full text Add to dashboard Cite

show abstract

“…For example, in a 3-year longitudinal study, Tavernier & Willoughby ( 41 ) found that sleep problems predicted more social media use and TV/computer use, and not vice versa. Another study used experience sampling and found that bedtime social media use did not predict poorer sleep the same night ( 42 ). These studies hint that screen use may be a way of coping with sleep problems, rather than causing sleep problems.…”

Section: Discussionmentioning

confidence: 99%

The Association Between Self-Reported Screen Time, Social Media Addiction, and Sleep Among Norwegian University Students

Hjetland

Skogen

Hysing

et al. 2021

Front. Public Health

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The aim of this study was to assess the relationship between daily screen time and sleep, evening screen time and sleep, and between social media addiction and sleep in a student population. This cross-sectional study is based on data from a national survey of all college and university students in Norway (the SHoT2018 study; n = 49,051). The sleep outcomes were sleep duration, sleep onset latency, sleep efficiency, and insomnia operationalized according to formal DSM-5 criteria. The results show a strong negative association between time spent on screen-based devices and sleep quality and quantity, and where screen use in bed had more consistent negative associations with sleep. Furthermore, there were higher rates of insomnia among those with higher levels of addiction, and curvilinear relationships with sleep duration, sleep onset latency, and sleep efficiency. Those with higher levels of addiction also had more evening screen time. The findings suggest that screen use plays an important role in students' sleep quantity and quality, where evening screen time has a stronger relationship with sleep compared to total daily screen time. The results also suggest a role of social media addiction, and addictive social media use may be a target for intervention in order to reduce evening screen time.

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“…Of those, 104 (93.69%) had actigraphy data available. The dataset has been used in other studies (Das-Friebel et al, 2020) but it has not been used for the present purpose.…”

Section: Methodsmentioning

confidence: 99%

Intraindividual Variability and Temporal Stability of Mid-Sleep on Free and Workdays

et al. 2020

Self Cite

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People differ in their sleep timings that are often referred to as a chronotype and can be operationalized as mid-sleep (midpoint between sleep onset and wake-up). The aims of the present studies were to examine intraindividual variability and longer-term temporal stability of mid-sleep on free and workdays, while also considering the effect of age. We used data from a 2-week experience sampling study of British university students (Study 1) and from a panel study of Estonian adults who filled in the Munich Chronotype Questionnaire twice up to 5 years apart (Study 2). Results of Study 1 showed that roughly 50% of the variance in daily mid-sleep scores across the 14-day period was attributed to intraindividual variability as indicated by the intraclass correlation coefficient. However, when the effect of free versus workdays was considered, the intraindividual variability in daily mid-sleep across 2 weeks was 0.71 the size of the interindividual variability. In Study 2, mid-sleep on free and workdays showed good levels of temporal stability—the retest correlations of mid-sleep on free and workdays were 0.66 and 0.58 when measured twice over a period of 0-1 to 5 years. The retest stability of mid-sleep scores on both free and workdays sharply increased from young adulthood and reached their peak when participants were in late 40 to early 50 years of age, indicating that age influences the stability of mid-sleep. Future long-term longitudinal studies are necessary to explore how age-related life circumstances and other possible factors may influence the intraindividual variability and temporal stability of mid-sleep.

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Bedtime social media use, sleep, and affective wellbeing in young adults: an experience sampling study

Cited by 37 publications

References 51 publications

Daily and average associations of physical activity, social media use, and sleep among adolescent girls during the COVID‐19 pandemic

Daily and average associations of physical activity, social media use, and sleep among adolescent girls during the COVID‐19 pandemic

The Association Between Self-Reported Screen Time, Social Media Addiction, and Sleep Among Norwegian University Students

Intraindividual Variability and Temporal Stability of Mid-Sleep on Free and Workdays

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