Evidence map›Paper›PMID 33227063›Full record

ReviewIndian journal of psychiatry2020

Internet use during coronavirus disease of 2019 pandemic: Psychiatric history and sociodemographics as predictors.

Jelena Jovic, Maja Pantovic-Stefanovic, Marija Mitkovic-Voncina, Bojana Dunjic-Kostic, Goran Mihajlovic, Srdjan Milovanovic, Maja Ivkovic, Andrea Fiorillo, Milan Latas

Abstract readReview
In one paragraph

Review in Indian journal of psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

9 authors.

Jelena JovicDepartment of Preventive Medicine, School of Medicine, University of Prishtina, Kosovska Mitrovica, Serbia.
Maja Pantovic-StefanovicDepartment for Affective Disorders, Clinic of Psychiatry, Clinical Center of Serbia, Belgrade, Serbia.
Marija Mitkovic-VoncinaDepartment of Psychiatry, School of Medicine, University of Belgrade, Belgrade, Serbia.
Bojana Dunjic-KosticDepartment for Affective Disorders, Clinic of Psychiatry, Clinical Center of Serbia, Belgrade, Serbia.
Goran MihajlovicDepartment of Psychiatry, Clinic of Psychiatry, Clinical Center of Kragujevac, Kragujevac, Serbia.
Srdjan MilovanovicDepartment for Affective Disorders, Clinic of Psychiatry, Clinical Center of Serbia, Belgrade, Serbia.
Maja IvkovicDepartment for Affective Disorders, Clinic of Psychiatry, Clinical Center of Serbia, Belgrade, Serbia.
Andrea FiorilloDepartment of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy.
Milan LatasDepartment for Affective Disorders, Clinic of Psychiatry, Clinical Center of Serbia, Belgrade, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease of 2019 (COVID-19) pandemic and related containment measures have grossly affected the daily living and created a need for alternative ways of social communication and entertainment. The aim of this study was to explore the use of various Internet contents depending on sociodemographics and on psychiatric history of participants. This cross-sectional, population-based study is a part of a wider international multicenter study. A total of 1275 participants across Serbia (71.1% of females; average age = 41.81 ± 12.52 years) were recruited using two-level chain-referral sampling method. The participants filled in an anonymous online questionnaire that included questions on sociodemographic data, psychiatric history, and various aspects of increased Internet use since the pandemic. The data were analyzed using a series of multiple logistic regressions. About two-thirds of the sample reported using Internet more during the pandemic. All of the tested regression models, apart from models predicting browsing religion and travel/tourism, were significant, explaining from about 2% (for the contents specific for COVID-19) up to 34.4% (for the sexual content) of variance of use. Reporting a previously diagnosed psychiatric disorder was a significant predictor of greater Instagram use and browsing sexual and sport-related content since the pandemic. To the best of our knowledge, the study is the first to report on the relationship between Internet using and mental health, during COVID-19 pandemic, in the Balkan region. The findings showed various patterns of the increased use of Internet contents since the pandemic referring to both potentially positive and negative Internet influences.

Indexed as

Coronavirus disease of 2019Internetmental health

Identifiers

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.