Evidence map›Paper›PMID 34529588›Full record

ArticleJournal of behavioral addictions2021

Internet addiction and psychological distress among Chinese schoolchildren before and during the COVID-19 outbreak: A latent class analysis.

I-Hua Chen, Chao-Ying Chen, Chieh-Hsiu Liu, Daniel Kwasi Ahorsu, Mark D Griffiths, Yu-Pin Chen, Yi-Jie Kuo, Chung-Ying Lin, Amir H Pakpour, Shu-Mei Wang

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
–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

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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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Binge-Watching and Mental Health Problems: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
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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.

I-Hua Chen1 Chinese Academy of Education Big Data, Qufu Normal University, Qufu, China.
Chao-Ying Chen2 School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chieh-Hsiu Liu3 Department of Geriatrics and Gerontology, Research Center of Clinical Medicine, National Cheng Kung University Hospital, Tainan, Taiwan.
Daniel Kwasi Ahorsu4 Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Mark D Griffiths5 International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, UK.
Yu-Pin Chen6 Department of Orthopedic Surgery, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Yi-Jie Kuo6 Department of Orthopedic Surgery, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Chung-Ying Lin8 Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-2129-4242
Amir H Pakpour11 Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin 3419759811, Iran.
Shu-Mei Wang4 Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe present longitudinal study examined the changes in problematic internet use (problematic smartphone use, problematic social media use, and problematic gaming) and changes in COVID-19-related psychological distress (fear of COVID-19 and worry concerning COVID-19) across three time-points (before the COVID-19 outbreak, during the initial stages of the COVID-19 outbreak, and during the COVID-19 outbreak recovery period).

methodsA total of 504 Chinese schoolchildren completed measures concerning problematic internet use and psychological distress across three time-points. Latent class analysis (LCA) was used to classify participants into three groups of problematic internet use comprising Group 1 (lowest level), Group 2 (moderate level), and Group 3 (highest level).

resultsStatistical analyses showed that as problematic use of internet-related activities declined among Group 3 participants across the three time points, participants in Group 1 and Group 2 had increased problematic use of internet-related activities. Although there was no between-group difference in relation to worrying concerning COVID-19 infection, Groups 2 and 3 had significantly higher levels of fear of COVID-19 than Group 1 during the COVID-19 recovery period. Regression analysis showed that change in problematic internet use predicted fear of COVID-19 during the recovery period.

conclusionThe varied levels of problematic internet use among schoolchildren reflect different changing trends of additive behaviors during COVID-19 outbreak and recovery periods.

Indexed as

COVID-19Psychological DistressChildChinaDisease OutbreaksHumansInternetInternet Addiction DisorderLatent Class AnalysisLongitudinal StudiesSARS-CoV-2COVID-19problematic gamingproblematic smartphone useproblematic social media usepsychological distress

Identifiers

PMID34529588
PMCPMC8997210

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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.