Cited by 71Sleep and related disordersImpact of Technology on AdolescentsChild Development and Digital Technology

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

Open access
Das‐Friebel, Ahuti, Lenneis, Anita, Realo, Anu, Sanborn, Adam, Tang, Nicole K. Y., Wolke, Dieter, von Mühlenen, Adrian, Lemola, Sakari·2020·Journal of Child Psychology and Psychiatry

Abstract

Background: Findings from primarily cross‐sectional studies have linked more extensive social media use to poorer sleep and affective wellbeing among adolescents and young adults. This study examined bedtime social media use, sleep, and affective wellbeing, using an experience sampling methodology with the aim of establishing a day‐to‐day temporal link between the variables. The study hypothesized a positive association between increased bedtime social media use and lower affective wellbeing the following day, mediated by poorer sleep. Methods: Using a smartphone application, 101 undergraduate students ( M age = 19.70 years, SD = 1.09 years), completed daily questionnaires assessing the previous night’s bedtime social media use and sleep duration and satisfaction (one measurement per day, questionnaire sent at 08:00), and momentary affective wellbeing (five measurements per day, at randomly varying times between 08:00 and 22:00 on weekdays and 10:00 and 22:00 on weekends), for 14 consecutive days. Objective assessments of total sleep time and sleep efficiency were obtained via wrist‐worn actigraphs. By means of separate multilevel models, it was tested whether increased bedtime social media use predicted poorer sleep the same night, whether poorer sleep was predictive of positive and negative affect the following day, and whether sleep mediated the relationship between social media use and affective wellbeing. Results: Increased bedtime social media use was not associated with poorer sleep the same night. Apart from subjective sleep satisfaction, no other sleep variable (i.e., subjective sleep duration, objective total sleep time and objective sleep efficiency) predicted positive or negative affect the following day. Conclusions: This study found that bedtime social media use is not detrimental to the sleep and affective wellbeing of healthy young adults. However, it is possible that bedtime social media use may be harmful to the sleep of vulnerable individuals.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/jcpp.13326

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Studies suggest an association between social media use/problematic social media use and sleep outcomes including sleep quality, sleep duration, insomnia, and daytime sleepiness.

    “Studies also suggest an association between SMU/ PSMU and sleep outcomes, including sleep quality, sleep duration, insomnia, and daytime sleepiness (Das-Friebel et al., 2020; Kelly et al., 2018; Li et al., 2017; Nasirudeen et al., 2017; Wong et al., 2020).”

    From Social media use, mental health and sleep: A systematic review with meta-analyses (2024) · cites this paper as Das-Friebel et al., 2020

    The Introduction (page unavailable) reports earlier studies associating social media use with shorter sleep duration, sleep difficulties, and poorer sleep patterns. It does not substantiate the sentence’s specific references to problematic social media use, insomnia, or daytime sleepiness. The Results (page unavailable) also found no association between bedtime use and poorer subjective sleep duration or sleep satisfaction in this study. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 12

  1. Berryman, C., Ferguson, C.J., & Negy, C.E. (2018). Social media use and mental health among young adults. Psychi- atric Quarterly, 89, 307-314.
  2. Cajochen, C., Frey, S., Ander, D., Sp€ ati, J., Bues, M., Pross, A., . . ., & Stefani, O. (2011). Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance. Journal of Applied Physiology, 110, 1432-1438.
  3. Donnelly, E., & Kuss, D.J. (2016). Depression among users of Social Networking Sites (SNSs): The role of SNS addiction and increased usage. Journal of Addiction and Preventive Medicine, 2, 107.
  4. K€ onen, T., Dirk, J., Leonhardt, A., & Schmiedek, F. (2016). The interplay between sleep behavior and affect in elementary school children's daily life. Journal of Experimental Child Psychology, 150, 1-15.
  5. Meltzer, L.J., Montgomery-Downs, H.E., Insana, S.P., & Walsh, C.M. (2012). Use of actigraphy for assessment in pediatric sleep research. Sleep Medicine Reviews, 16 (5), 463-475. https://doi.org/10.1016/j.smrv.2011.10. 002 · DOI
  6. Rossa, K.R., Smith, S.S., Allan, A.C., & Sullivan, K.A. (2014). The effects of sleep restriction on executive inhibitory control and affect in young adults. Journal of Adolescent Health, 55, 287-292.
  7. Russell, J.A. (1980). A Circumplex Model of Affect. Journal of Personality and Social Psychology, 39, 1161-1178.
  8. Shen, L., van Schie, J., Ditchburn, G., Brook, L., & Bei, B. (2018). Positive and negative emotions: Differential associ- ations with sleep duration and quality in adolescents. Journal of Youth and Adolescence, 47, 2584-2595.
  9. Smith, A., & Anderson, M. (2018). Social media use in 2018 (pp. 1-7). Pew Research Center. Available from: http://www. pewinternet.org/2018/03/01/social-media-use-in-2018/
  10. Tavernier, R., & Willoughby, T. (2014). Sleep problems: Predictor or outcome of media use among emerging adults at university? Journal of Sleep Research, 23, 389-396.
  11. Wang, Y., Niiya, M., Mark, G., Reich, S.M., & Warschauer, M. (2015). Coming of age (digitally): An ecological view of social media use among college students. Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing -CSCW', 15, 571-582.
  12. Watson, D., Clark, L.A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063-1070.

Cited by

Sorted by citations

Authors
Das‐Friebel, A., Lenneis, A., Realo, A., Sanborn, A., Tang, N. K. Y., Wolke, D., von Mühlenen, A., & Lemola, S.
Affiliations
  • University of Warwick (GB)
  • Department of Psychology University of Warwick Coventry UK
  • Bielefeld University (DE)
Corresponding author
Das‐Friebel, Ahuti
Venue
Journal of Child Psychology and Psychiatry
Publisher
Wiley
Published
2020-09-14
Volume
61
Issue
10
Pages
1138-1149
ISSN
  • 0021-9630 (ISSN-L)
  • 1469-7610
OpenAlex
W3081030350
Cited by
71
References
25
Citations by year
2026: 11 · 2025: 20 · 2024: 16 · 2023: 12 · 2022: 9 · 2021: 2 · 2020: 1
FWCI
5.80
Type
journal article
Language
en
Open access
Locations
  • Journal of Child Psychology and Psychiatry (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Warwick Research Archive Portal (University of Warwick) (submittedVersion)
  • Publikationen an der Universität Bielefeld (Universität Bielefeld) (submittedVersion)
Funders
University of Warwick
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Education › Child Development and Digital Technology
Keywords
sleep, affective wellbeing, young adults, positive and negative affect, sleep duration, sleep efficiency, sleep satisfaction, mediation, actigraphy
MeSH terms
Ecological Momentary Assessment, Adolescent, Female, Health Status, Humans, Sleep Initiation and Maintenance Disorders, Male, Surveys and Questionnaires, Sleep, Young Adult, Social Media

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review