Evidence map›Paper›PMID 38324379›Full record

ArticleJournal of medical Internet research2024

Depression and Anxiety in Adolescents During the COVID-19 Pandemic in Relation to the Use of Digital Technologies: Longitudinal Cohort Study.

Chen Shen, Rachel B Smith, Joel Heller, Alexander D V Spiers, Rhiannon Thompson, Helen Ward, Jonathan P Roiser, Dasha Nicholls, Mireille B Toledano

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Chen ShenMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-0119-4455
Rachel B SmithMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0003-4000-2919
Joel HellerMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0009-0008-7569-0540
Alexander D V SpiersMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-8874-085X
Rhiannon ThompsonMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-8188-3460
Helen WardPatient Experience Research Centre, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-8238-5036
Jonathan P RoiserInstitute of Cognitive Neuroscience, University College London, London, United Kingdom.ORCID 0000-0001-8269-1228
Dasha NichollsDepartment of Brain Sciences, Division of Psychiatry, Imperial College London, London, United Kingdom.ORCID 0000-0001-7257-6605
Mireille B ToledanoMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-5695-6210
National Institute for Health Research · GBImperial College London · GBUniversity College London · GB

Funding

Medical Research Council MR/V004190/1Medical Research Council MR/V028472/1
6 · The paper itself

Abstract

backgroundAdolescents are susceptible to mental illness and have experienced substantial disruption owing to the COVID-19 pandemic. The digital environment is increasingly important in the context of a pandemic when in-person social connection is restricted.

objectiveThis study aims to estimate whether depression and anxiety had worsened compared with the prepandemic period and examine potential associations with sociodemographic characteristics and behavioral factors, particularly digital behaviors.

methodsWe analyzed cross-sectional and longitudinal data from a large, representative Greater London adolescent cohort study: the Study of Cognition, Adolescents and Mobile Phones (SCAMP). Participants completed surveys at T1 between November 2016 and July 2018 (N=4978; aged 13 to 15 years) and at T2 between July 2020 and June 2021 (N=1328; aged 16 to 18 years). Depression and anxiety were measured using the Patient Health Questionnaire and Generalized Anxiety Disorder scale, respectively. Information on the duration of total mobile phone use, social network site use, and video gaming was also collected using questionnaires. Multivariable logistic regression was used to assess the cross-sectional and longitudinal associations of sociodemographic characteristics, digital technology use, and sleep duration with clinically significant depression and anxiety.

resultsThe proportion of adolescents who had clinical depression and anxiety significantly increased at T2 (depression: 140/421, 33.3%; anxiety: 125/425, 29.4%) compared with the proportion of adolescents at T1 (depression: 57/421, 13.5%; anxiety: 58/425, 13.6%; P for 2-proportion z test <.001 for both depression and anxiety). Depression and anxiety levels were similar between the summer holiday, school opening, and school closures. Female participants had higher odds of new incident depression (odds ratio [OR] 2.5, 95% CI 1.5-4.18) and anxiety (OR 2.11, 95% CI 1.23-3.61) at T2. A high level of total mobile phone use at T1 was associated with developing depression at T2 (OR 1.89, 95% CI 1.02-3.49). Social network site use was associated with depression and anxiety cross-sectionally at T1 and T2 but did not appear to be associated with developing depression or anxiety longitudinally. Insufficient sleep at T1 was associated with developing depression at T2 (OR 2.26, 95% CI 1.31-3.91).

conclusionsThe mental health of this large sample of adolescents from London deteriorated during the pandemic without noticeable variations relating to public health measures. The deterioration was exacerbated in girls, those with preexisting high total mobile phone use, and those with preexisting disrupted sleep. Our findings suggest the necessity for allocating resources to address these modifiable factors and target high-risk groups.

Indexed as

COVID-19Digital TechnologyAdolescentAnxietyCohort StudiesCross-Sectional StudiesDepressionFemaleHumansLongitudinal StudiesPandemicsadolescenceanxietyCOVID-19depressiondigital technology usemobile phonepublic healthsleep

Identifiers

PMID38324379
PMCPMC10882466
OpenAlexW4391040232

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.