Cited by 21Impact of Technology on AdolescentsSuicide and Self-Harm StudiesChild Development and Digital Technology

Digital media-related precursors to psychiatric hospitalization among youth.

Open access
Nesi, Jacqueline, Burke, Taylor A., Caltabiano, Anna, Spirito, Anthony, Wolff, Jennifer C.·2022·Journal of Affective Disorders

Abstract

Digital media, including smartphones and social media, are central in youths' lives. This study aimed to examine the role of digital media in psychiatric hospital admissions among adolescents. 343 psychiatrically-hospitalized youth (Mage = 15.2; 70.3% White, 13.7% Black, 33.9% Hispanic; 48.7% female) completed self-report measures of potential digital media-related reasons for hospitalization, patterns of digital media use, and clinical symptoms (internalizing, externalizing, suicidal ideation and attempts). Digital media-related reasons for hospitalization were common, with over 40% of the sample endorsing at least one such reason; 24.8% endorsed having their phone taken away as a reason for admission. Younger adolescents and youth with addictive patterns of phone use were more likely to endorse digital media-related reasons for hospitalization, including phone restriction and negative social media experiences. In addition, youth endorsing suicide-related social media engagement (e.g., posting or messaging about suicide) as a precursor to admission reported more severe suicidal ideation and greater likelihood of a recent suicide attempt. Limitations of the study include a reliance on self-report measures and cross-sectional design. Findings highlight the need to identify youth who may be especially vulnerable to digital media experiences that contribute to risk for psychiatric hospitalization.

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Crossref · 10.1016/j.jad.2022.05.013

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  • The study used cluster-robust variance estimation to account for variance inflation from dependent observations.

    “To account for variance inflation emerging from dependent observations for measures collected from the same participants, we used cluster-robust variance estimation based on the sandwich method with adjusted estimators for small samples and the correlated effects weighting scheme using robumeta”

    From Social Media Use and Internalizing Symptoms in Clinical and Community Adolescent Samples: A Systematic Review and Meta-Analysis (2024) · cites this paper as [29]

    The Method’s Data analytic plan (page unavailable) says all analyses were conducted in SPSS 25.0 and describes descriptive analyses, bivariate correlations, and multivariate logistic regressions. It does not describe cluster-robust variance estimation or robumeta; its statement that all analyses used SPSS conflicts with the attributed robumeta method. (LLM, conf=0.86)

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Authors
Nesi, J., Burke, T. A., Caltabiano, A., Spirito, A., & Wolff, J. C.
Affiliations
  • Brown University (US)
  • Harvard University (US)
Corresponding author
Nesi, Jacqueline
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2022-08
Volume
310
Pages
235-240
ISSN
0165-0327 (ISSN-L)
OpenAlex
W4228999200
Cited by
21
References
28
Citations by year
2026: 6 · 2025: 2 · 2024: 6 · 2023: 4 · 2022: 3
FWCI
5.39
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
Funders
  • National Institute of General Medical Sciences (P20GM13974)
  • National Institutes of Health
  • National Institute of Mental Health (K23-MH122669, K23-MH126168)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
  • Social Sciences › Education › Child Development and Digital Technology
Keywords
digital media, psychiatric hospitalization, adolescents, smartphone use, social media, suicidal ideation, suicide attempts, internalizing problems, externalizing problems, risk factors
MeSH terms
Adolescent, Cross-Sectional Studies, Female, Hospitalization, Humans, Male, Suicide, Attempted, Internet, Suicidal Ideation

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