Evidence map›Paper›PMID 34589012›Full record

ArticleFrontiers in psychiatry2021

Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic.

Daiki Ishimaru, Hiroyoshi Adachi, Hajime Nagahara, Shizuka Shirai, Haruo Takemura, Noriko Takemura, Alizadeh Mehrasa, Teruo Higashino, Yasushi Yagi, Manabu Ikeda

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 12 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

10 authors at 1 institution in 1 country.

Daiki IshimaruDepartment of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan.
Hiroyoshi AdachiDepartment of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan.
Hajime NagaharaDepartment of Artificial Intelligence and Mathematics, Institute for Datability Science, Osaka University, Suita, Japan.
Shizuka ShiraiInfomedia Education Research Division, Cybermedia Center, Osaka University, Toyonaka, Japan.
Haruo TakemuraInfomedia Education Research Division, Cybermedia Center, Osaka University, Toyonaka, Japan.
Noriko TakemuraDepartment of Artificial Intelligence and Mathematics, Institute for Datability Science, Osaka University, Suita, Japan.
Alizadeh MehrasaLanguage Education Support Research Division, Cybermedia Center, Osaka University, Toyonaka, Japan.
Teruo HigashinoDepartment of Information Networking, Osaka University Graduate School of Information Science and Technology, Suita, Japan.
Yasushi YagiDepartment of Intelligent Media, The Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Japan.
Manabu IkedaDepartment of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan.
Osaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to clarify the adaptation features of University students exposed to fully online education during the novel coronavirus disease 2019 (COVID-19) pandemic and to identify accompanying mental health problems and predictors of school adaptation. The pandemic has forced many universities to transition rapidly to delivering online education. However, little is known about the impact of this drastic change on students' school adaptation. This cross-sectional study used an online questionnaire, including assessments of impressions of online education, study engagement, mental health, and lifestyle habits. In total, 1,259 students were assessed. The characteristics of school adaptation were analyzed by a two-step cluster analysis. The proportion of mental health problems was compared among different groups based on a cluster analysis. A logistic regression analysis was used to identify predictors of cluster membership.

Indexed as

COVID-19mental healthonline learningschool adaptationUniversity students

Identifiers

PMID34589012
PMCPMC8473868
OpenAlexW3201380419

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.