Cohort profile: The Social media, smartphone use and Self-harm in Young People (3S-YP) study-A prospective, observational cohort study of young people in contact with mental health services.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 24 11 2023
accepted: 04 02 2024
medline: 22 5 2024
pubmed: 22 5 2024
entrez: 22 5 2024
Statut: epublish

Résumé

The Social media, Smartphone use and Self-Harm (3S-YP) study is a prospective observational cohort study to investigate the mechanisms underpinning associations between social media and smartphone use and self-harm in a clinical youth sample. We present here a comprehensive description of the cohort from baseline data and an overview of data available from baseline and follow-up assessments. Young people aged 13-25 years were recruited from a mental health trust in England and followed up for 6 months. Self-report data was collected at baseline and monthly during follow-up and linked with electronic health records (EHR) and user-generated data. A total of 362 young people enrolled and provided baseline questionnaire data. Most participants had a history of self-harm according to clinical (n = 295, 81.5%) and broader definitions (n = 296, 81.8%). At baseline, there were high levels of current moderate/severe anxiety (n = 244; 67.4%), depression (n = 255; 70.4%) and sleep disturbance (n = 171; 47.2%). Over half used social media and smartphones after midnight on weekdays (n = 197, 54.4%; n = 215, 59.4%) and weekends (n = 241, 66.6%; n = 263, 72.7%), and half met the cut-off for problematic smartphone use (n = 177; 48.9%). Of the cohort, we have questionnaire data at month 6 from 230 (63.5%), EHR data from 345 (95.3%), social media data from 110 (30.4%) and smartphone data from 48 (13.3%). The 3S-YP study is the first prospective study with a clinical youth sample, for whom to investigate the impact of digital technology on youth mental health using novel data linkages. Baseline findings indicate self-harm, anxiety, depression, sleep disturbance and digital technology overuse are prevalent among clinical youth. Future analyses will explore associations between outcomes and exposures over time and compare self-report with user-generated data in this cohort.

Identifiants

pubmed: 38776261
doi: 10.1371/journal.pone.0299059
pii: PONE-D-23-38299
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0299059

Informations de copyright

Copyright: © 2024 Bye et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Amanda Bye (A)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Ben Carter (B)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Daniel Leightley (D)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Institute of Psychiatry, King's Centre for Military Health Research, Psychology and Neuroscience, King's College London, London, United Kingdom.
School of Life Course & Population Sciences, King's College London, London, United Kingdom.

Kylee Trevillion (K)

Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Maria Liakata (M)

School of Electronic Engineering & Computer Science, Queen Mary, University of London, London, United Kingdom.
The Alan Turing Institute, London, United Kingdom.
University of Warwick, Warwick, United Kingdom.

Stella Branthonne-Foster (S)

Senior Service User Consultant, London, United Kingdom.

Samantha Cross (S)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Zohra Zenasni (Z)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Ewan Carr (E)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Grace Williamson (G)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Institute of Psychiatry, King's Centre for Military Health Research, Psychology and Neuroscience, King's College London, London, United Kingdom.

Alba Vega Viyuela (A)

National Institute for Health and Care Research (NIHR) Clinical Research Network (CRN) South London, London, United Kingdom.
Cardiology Research Department, Health Research Institute, Fundación Jiménez Díaz Hospital, Madrid, Spain.

Rina Dutta (R)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
South London and Maudsley NHS Foundation Trust, London, United Kingdom.

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Classifications MeSH