Evidence map›Paper›PMID 36517514›Full record

ArticleNPJ science of learning2022

Understanding protective and risk factors affecting adolescents' well-being during the COVID-19 pandemic.

Min Lan, Qianqian Pan, Cheng Yong Tan, Nancy Wai Ying Law

Abstract read
In one paragraph

Article in NPJ science of learning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Min LanKey Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China.ORCID http://orcid.org/0000-0003-3632-2389
Qianqian PanCentre for Research in Pedagogy and Practice (CRPP), Office of Education Research, National Institute of Education, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0002-8675-0165
Cheng Yong TanFaculty of Education, The University of Hong Kong, Hong Kong, China. tancy@hku.hk.ORCID http://orcid.org/0000-0001-6918-8425
Nancy Wai Ying LawFaculty of Education, The University of Hong Kong, Hong Kong, China.

Funding

Research Grants Council, University Grants Committee (RGC, UGC) T44-707/16N
6 · The paper itself

Abstract

This study investigated the factors affecting adolescents' well-being during the COVID-19 pandemic from the perspectives of their participation in digital activities, emotional regulation, self-regulated learning, and parental involvement. Using self-reported data from 932 pairs of adolescents and their parents, we performed multiple-group structural equation modeling, which revealed that self-efficacy in online learning during school suspension was a key factor influencing adolescents' perceived worries after schools resumed. During school suspension, boys' cognitive-emotional regulation played a protective role in their well-being, helping them to avoid cyberbullying incidents, while girls' participation in leisure-oriented digital activities compromised their self-efficacy in online learning and led to cyberbullying incidents. Furthermore, improvement in parent-child relationships during school suspension encouraged adolescents to use more positive emotional regulation strategies, enhanced their self-efficacy in online learning, and reduced their leisure-time digital activities. The findings indicate that the effective regulation of adolescents' online behaviors, emotions, and self-efficacy, especially when combined with an emotionally secure family relationship, can ensure adolescents' well-being.

Identifiers

PMID36517514
PMCPMC9748907

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.