Cited by 22Impact of Technology on AdolescentsSleep and related disordersChild Development and Digital Technology

Social media use, sleep, and psychopathology in psychiatrically hospitalized adolescents.

Open access
Nesi, Jacqueline, Burke, Taylor A., Extein, Jonathan, Kudinova, Anastacia Y., Fox, Kara A., Hunt, Jeffrey, Wolff, Jennifer C.·2021·Journal of Psychiatric Research

Abstract

Sleep disruption among adolescents represents a major public health concern, and social media use may play an important role in affecting sleep and subsequent mental health. While prior studies of youth sleep and mental health have often focused on social media use frequency and duration, adolescents’ emotional experiences related to social media have been underexplored, particularly among clinically acute populations. This study offers a preliminary investigation of associations among negative emotional experiences using social media, sleep disturbance, and clinical symptom severity in a sample of psychiatrically hospitalized youth. A sample of 243 adolescents (Mage = 15.34) completed self-report measures at a single time point. Measures assessed social media use, including frequency and duration, subjective experiences of use, and emotional responses to use, as well as sleep disturbance and clinical symptom severity, including suicidal ideation, internalizing symptoms, and attention problems. Results revealed that more frequent negative emotional responses to social media use were linked to greater sleep disturbance and higher clinical symptom severity. Furthermore, sleep disturbance mediated the relation between negative emotional responses to social media and clinical symptom severity. While gender differences were revealed in characteristics of social media use, sleep disturbance, and clinical outcomes, the associations among these constructs did not vary across gender groups. Overall, these findings highlight sleep disturbance as a potential mechanism through which negative emotional experiences on social media may impact clinical symptoms in psychiatrically vulnerable youth.

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 · 10.1016/j.jpsychires.2021.10.014

Cites

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?

  • 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 [28]

    The Results section describes mediation models run with PROCESS in SPSS and bootstrapped confidence intervals, but does not say the study used cluster-robust variance estimation. Searches for cluster-robust estimation, the sandwich method, robumeta, and dependent-observation weighting found no passage addressing that method. The citing sentence’s “we used” also describes the citing authors’ procedure, rather than clearly attributing it to this source. (LLM, conf=0.75)

    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.

The citation lists haven’t been fetched yet

References 59 · Cited by 22

Research works printed but not linked: 3

  1. Bettis AH, Thompson EC, Burke TA, Nesi J, Kudinova AY, Hunt JI, … & Wolff JC. (2020). Prevalence and clinical indices of risk for sexual and gender minority youth in an adolescent inpatient sample. Journal of Psychiatric Research, 130, 327– 332. 10.1016/j.jpsychires.2020.08.022 32877826 PMC7554171 · DOI
  2. Boafo A, Armitage R, Greenham S, Tavakoli P, Dale A, Nixon A, Lafrenière A, Ray LB, De Koninck J, & Robillard R (2019b). Sleep architecture in adolescents hospitalized during a suicidal crisis. Sleep Medicine, 56, 41– 46. 10.1016/j.sleep.2018.12.018 30737143 · DOI
  3. Nolen-Hoeksema S, Wisco BE, & Lyubomirsky S (2008). Rethinking Rumination. Perspectives on Psychological Science, 3, 400– 424. 10.1111/j.1745-6924.2008.00088.x 26158958 · DOI · Paper page

Authors
Nesi, J., Burke, T. A., Extein, J., Kudinova, A. Y., Fox, K. A., Hunt, J., & Wolff, J. C.
Affiliations
  • Brown University (US)
  • Harvard University (US)
  • MedStar Georgetown University Hospital (US)
  • University of North Carolina at Chapel Hill (US)
Corresponding author
Nesi, Jacqueline
Venue
Journal of Psychiatric Research
Publisher
Elsevier BV
Published
2021-12
Volume
144
Pages
296-303
ISSN
0022-3956 (ISSN-L)
OpenAlex
W3208891094
Cited by
22
References
59
Citations by year
2026: 6 · 2025: 7 · 2024: 5 · 2023: 3 · 2022: 1
FWCI
3.12
Type
journal article
Language
en
Open access
Locations
  • Journal of Psychiatric Research (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute of Mental Health (K23-MH122587, K23-MH122669, K23-MH126168, T32-MH019927)
  • National Institute of General Medical Sciences (P20GM13974)
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 › Education › Child Development and Digital Technology
Keywords
social media use, sleep disorders, adolescents, psychiatric hospitalization, negative emotional responses, clinical symptom severity, suicidal ideation, internalizing problems, attention deficits, gender differences, mediation
MeSH terms
Adolescent, Adolescent, Hospitalized, Humans, Sleep, Sleep Wake Disorders, Suicidal Ideation, 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