Cited by 114Impact of Technology on AdolescentsChild and Adolescent Psychosocial and Emotional DevelopmentMental Health via Writing

Longitudinal associations between problematic social media use and depressive symptoms in adolescent girls

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Raudsepp, Lennart, Kais, Kristjan·2019·Preventive Medicine Reports

Abstract

The primary aim of the current study was to examine longitudinal relation between problematic social media use (PSMU) and depressive symptoms in adolescent girls. Adolescent girls (n = 397) were assessed in three time points across two years. PSMU and depressive symptoms were subjectively assessed at three waves spaced 2 years apart. Latent growth models were used to test whether changes in PSMU were related to changes in depressive symptoms, and whether baseline PSMU predicted changes in depressive symptoms and vice versa. Results revealed baseline PSMU was positively associated with baseline depressive symptoms (β = 0.29, p < 0.01), and changes in PSMU were related to changes in depressive symptoms (β = 0.22, p < 0.05). In addition, baseline depressive symptoms were predictive of changes in PSMU (β = 0.23, p < 0.05), but baseline PSMU did not predict changes in depressive symptoms. These findings provide evidence of positive associations between increasing PSMU and depressive symptoms and suggest that interventions should target reduction of PSMU to prevent adolescents' mental health problems.

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  • The more time adolescents spent on social media, the more depressed they became.

    “Another study found that the more time adolescents spent on social media, the more depressed they became (Raudsepp & Kais, 2019).”

    From Ethics of the Attention Economy: The Problem of Social Media Addiction (2021) · cites this paper as Raudsepp & Kais, 2019

    The Conclusions report that increases in problematic social media use were associated with increases in depressive symptoms over two years, which supports a longitudinal association in adolescent girls. But the study measured problematic use, not time spent on social media, and the Discussion says initial problematic use did not predict later changes in depressive symptoms. It therefore does not establish that spending more time on social media made adolescents more depressed. (LLM, conf=0.88)

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  • Raudsepp and Kais's 2-year study of adolescent girls revealed that baseline levels of depressive symptoms predicted problematic social media use, whereas prior social media use did not predict depressive symptoms.

    “Similarly, Raudsepp and Kais's (35) 2-year study of adolescent girls revealed that baseline levels of depressive symptoms predicted problematic social media use, whereas prior social media use did not predict depressive symptoms.”
  • Longitudinal studies observe either no or very small effects for the impact of screen time on depressive symptoms, video games, social media, and passive screen use.

    “A handful of studies that have approached questions around screen time using longitudinal methods observe either no or very small effects for the impact of screen time on experiences such as depressive symptoms [21,45]. This holds when exploring specific forms of screen activities such as video games [46], social media [5,6,47,48], and passive screen use [21].”

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Authors
Raudsepp, L., & Kais, K.
Affiliations
University of Tartu (EE)
Corresponding author
Raudsepp, Lennart
Venue
Preventive Medicine Reports
Publisher
Elsevier BV
Published
2019-09
Volume
15
Pages
100925
ISSN
2211-3355 (ISSN-L)
OpenAlex
W2952745509
Cited by
114
References
40
Citations by year
2026: 10 · 2025: 27 · 2024: 18 · 2023: 10 · 2022: 16 · 2021: 20 · 2020: 11 · 2019: 1 · 2018: 1
FWCI
24.11
Type
journal article
Language
en
Open access
Locations
  • Preventive Medicine Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Tartu Ülikool
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
Keywords
social media addiction, depressive symptoms, adolescent girls, longitudinal associations, mental health, social media use, prevention interventions

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