Evidence map›Paper›PMID 36834091›Full record

ReviewInternational journal of environmental research and public health2023

Impact of Social Media Use on Mental Health within Adolescent and Student Populations during COVID-19 Pandemic: Review.

Marija Draženović, Tea Vukušić Rukavina, Lovela Machala Poplašen

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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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

3 authors.

Marija DraženovićLeadership and Management of Health Services, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0003-1722-5890
Tea Vukušić RukavinaAndrija Štampar School of Public Health, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0002-6466-9024
Lovela Machala PoplašenAndrija Štampar School of Public Health, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0002-1375-6419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has drastically changed our lives. By increased screen time during the pandemic, social media (SM) could have significantly impacted adolescents' and students' mental health (MH). This literature review aims to synthesize the research on the impact of SM usage on MH of adolescents and students during the first year of the COVID-19 pandemic. A review of the published literature was conducted in April 2021, through a search of PubMed and Web of Science Core Collection databases. The search yielded 1136 records, with 13 articles selected for this review. Most of the included studies observed the negative impact of SM use on MH of adolescents and students, most noticeably observed were anxiety, depression and stress. More active and prolonged SM usage was associated with a negative impact on MH of adolescents and students. Two studies recorded some potentially positive effects, such as support in coping and providing a sense of connection for those who were isolated due to social distancing measures. Since this review focuses on the early period of the pandemic, future studies should investigate the long-term impact of SM use on adolescents and students MH, with all relevant elements that can enable adequate public health response.

Indexed as

COVID-19Social MediaAdolescentHumansMental HealthPandemicsSARS-CoV-2StudentsadolescentCOVID-19 pandemicinternetmental healthsocial mediastudent

Identifiers

PMID36834091
PMCPMC9965407

What OpenQuestion holds

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LicenceCC BY
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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.