Brief report: Problematic social media use and sleep disturbances are longitudinally associated with depressive symptoms in adolescents
Abstract
INTRODUCTION: Problematic social media use and sleep disturbances are independently related with mental health. However, evidence of combined effects of changes in problematic social media use and sleep disturbances on changes in depressive symptoms in adolescents is limited. The aim of this study was to examine complex longitudinal associations between problematic social media use, sleep disturbances and depressive symptoms during middle adolescence. METHODS: A 2-year longitudinal study was conducted consisting of three waves, each separated by 1 year. The participants were 249 Estonian adolescents (46,6% female) aged 15.3 ± 0.3 years (M ± SD) who completed self-report measures of problematic social media use, sleep disturbances and depressive symptoms. RESULTS: The findings revealed that initial level in both problematic social media use and sleep disturbances both significantly predicted change in depressive symptoms. Moreover, the increases in problematic social media use and sleep disturbances were both associated with an increase in depressive symptoms, irrespective of gender. CONCLUSIONS: Our findings add strength to the evidence supporting longitudinal associations between problematic social media use and depressive symptoms and sleep disturbances and depressive symptoms in middle adolescence.
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Findings from longitudinal studies suggest that PSMU could be a risk factor for depression.
“Findings from longitudinal studies also suggest that PSMU could be a risk factor for depression as these studies found an association between initial PSMU and later depressive symptoms (Li et al., 2018; Mu et al., 2020; Raudsepp, 2019).”
From Social media use, mental health and sleep: A systematic review with meta-analyses (2024) · cites this paper as Raudsepp, 2019
Raudsepp showed that problematic social media use predicted depressive symptoms over a span of 2 years.
“Raudsepp (39) pointed to this bidirectionality by showing that problematic social media use (i.e., using social media in an unhealthy or maladaptive manner) predicted depressive symptoms over a span of 2 years.”
From Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective (2021) · cites this paper as [39]
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- Authors
- Raudsepp, L.
- Affiliations
- University of Tartu (EE)
- Corresponding author
- Raudsepp, Lennart
- ORCID
- Raudsepp, Lennart
- Venue
- Journal of Adolescence
- Publisher
- Wiley
- Published
- 2019-09-26
- Volume
- 76
- Issue
- 1
- Pages
- 197-201
- ISSN
- 0140-1971 (ISSN-L)
- 1095-9254
- OpenAlex
- W2976836242
- Cited by
- 83
- References
- 17
- Citations by year
- 2026: 5 · 2025: 20 · 2024: 16 · 2023: 7 · 2022: 12 · 2021: 16 · 2020: 7
- FWCI
- 17.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Adolescence (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- social media addiction, sleep disorders, depressive symptoms, adolescents, middle adolescence, longitudinal associations, gender differences, adolescent mental health
- MeSH terms
- Adolescent, Adolescent Behavior, Depression, Estonia, Female, Humans, Longitudinal Studies, Male, Sleep Wake Disorders, Self Report, 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 ›
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