Fear of missing out and sleep: Cognitive behavioural factors in adolescents' nighttime social media use
Scott H, Woods HC
Journal of adolescence · 88 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Funding not disclosed
Publication
- Published
- 2018-07-20 · J Adolesc · vol. 68 · issue 1 · pp. 61–65
- Publisher
- Wiley
- Cited
- 254 citations · more than 100% of similar papers · 19.1× the field average
- Impact
- Top 10% most cited in its field
- References
- 22 works
- Access
- Open access (repository copy) · CC-BY-SA
- Research areas
- Sleep and related disorders · Impact of Technology on Adolescents · Digital Mental Health Interventions
- Keywords
- fear of missing out, sleep, adolescents, sleep latency, sleep duration, bedtime, sleep interventions
- MeSH
- humans, sleep deprivation, adolescent behavior, fear, time factors, adolescent, child, female, male, social media, surveys and questionnaires
2 authors
From GB
- Holly Scott · correspondingUniversity of Glasgow
- Heather Cleland WoodsUniversity of Glasgow
Abstract
Introduction
Social media use has been linked to poor adolescent sleep outcomes, but the mechanisms behind this association are not yet well understood. This study examines links between adolescents' social media habits, fear of missing out and sleep outcomes, using path analysis to evaluate a model of proposed underlying mechanisms.
Methods
Adolescents aged 12-18 years (N = 101) completed questionnaire measures.
Results
Nighttime social media use was associated with later bedtimes, increased pre-sleep cognitive arousal, longer sleep onset latency and shorter sleep duration. Path analysis supported a model whereby fear of missing out predicted shorter sleep duration via two distinct mechanisms: (1) at a behavioural level, by driving late night social media use, which delays bedtimes; (2) at a cognitive level, by increasing pre-sleep cognitive arousal, thus further delaying sleep onset.
Conclusions
Efforts to develop and evaluate intervention strategies should therefore consider not only social media behaviours but also underlying cognitive factors, such as fear of missing out.
Abstract via Europe PMC. Copyright remains with the authors or publisher.
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