Evidence map›Paper›PMID 34230820›Full record

ArticleInternational journal of mental health and addiction2023

Social Media Addiction and Mental Health Among University Students During the COVID-19 Pandemic in Indonesia.

Sujarwoto, Rindi Ardika Melsalasa Saputri, Tri Yumarni

Open access · bronzeAbstract read
In one paragraph

Article in International journal of mental health and addiction, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
40.1field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 144 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

3 authors at 1 institution in 1 country.

SujarwotoPortsmouth Brawijaya Center for Global Health, Population and Policy & Department of Public Administration, Universitas Brawijaya, Malang, Indonesia.ORCID 0000-0003-4197-4592
Rindi Ardika Melsalasa SaputriMagister of Higher Education, Department of Public Administration, Universitas Brawijaya, Malang, Indonesia.
Tri YumarniDepartment of Public Administration, Universitas Brawijaya, Malang, Indonesia.
University of Brawijaya · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deteriorating mental health among university students during the COVID-19 pandemic is a serious worldwide public health concern. This study aims to examine the linkage between social media addiction and mental health of university students in Indonesia and to address whether family relationship and religiosity may mitigate the harmful effects of social media on the mental health of students at this time. We collected data from 709 students at universities across the country between June 3 and June 20, 2020. Mental health was measured using 10 items validated by the Center for Epidemiological Studies-Depression (CES-D) scale. We found that students with higher social media addiction scores had a greater likelihood of experiencing mild depression (OR 1.07, CI: 1.02-1.12). Students who had good relationships with their parents and were more religious showed better mental health than those who had poor relationships with their parents and were less religious. This study suggests the need to mitigate university students' mental health risks through reducing social media addiction while encouraging family relationships and religiosity during the pandemic.

Indexed as

COVID-19 pandemicIndonesiaMental healthSocial media addictionUniversity students

Identifiers

PMID34230820
PMCPMC8247617
OpenAlexW3180351162

What OpenQuestion holds

Textmetadata
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.