Evidence map›Paper›PMID 35538454›Full record

ArticleBMC psychiatry2022

The relationship between online courses and mental health among Chinese children.

Shuang Zhou, Chu-Yao Jin, Jing Guo, Zheng Liu, Qiang Feng, Jia Wang, Xiang-Rong Xu, Shi Wang, Zhong-Shang Wan, Carsten Obel and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychiatry, 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
1.2field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  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

12 authors at 3 institutions in 2 countries.

Shuang ZhouDepartment of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
Chu-Yao JinDepartment of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
Jing GuoDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Zheng LiuDepartment of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
Qiang FengDepartment of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
Jia WangSchool of Public Health, Peking University, Beijing, China.
Xiang-Rong XuSchool of Public Health, Peking University, Beijing, China.
Shi WangDepartment of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
Zhong-Shang WanDepartment of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
Carsten ObelResearch Unit for Mental Public Health, Institute of Public Health, Aarhus University Aarhus, Aarhus, Denmark.
Hui LiuMedical Informatics Center, Peking University, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China. ymauil@bjmu.edu.cn.
Hai-Jun WangDepartment of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Rd, Haidian District, Beijing, 100191, China. whjun@pku.edu.cn.
Peking University · CNAarhus University · DKGeneral Administration of Sport of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies on the association of online courses and mental health were mainly conducted in universities, and no study investigated the relationship between characteristics of online courses and children's mental health in primary and secondary school. This study aimed to explore the association of online courses and children's mental health in primary and secondary school.

methodsA cross-sectional study was conducted through an online survey among 540 primary and secondary school students and their parents in the eastern, central and western region of China from April to May in 2020. Children's mental health was assessed by the Strengths and Difficulties Questionnaire (SDQ). Borderline mental health problems (SDQ total difficulties score ≥ 16) and mental health problems (SDQ total difficulties score ≥ 20) were defined according to Goodman's standard. Multivariable linear and logistic regression models were used to examine the association between online courses and children's mental health.

resultsCompared with those who did not have problems of online courses, children having the difficulty in understanding the content of online courses had a higher SDQ total difficulties score [β = 1.80, 95% confidence interval (CI): 0.89, 2.71] and a higher risk of borderline mental health problems [odds ratio (OR) = 1.93, 95%CI: 1.07, 3.49], while device or internet connection problems were not significantly associated with children's mental health. Compared with children who had live courses, those having video-recorded courses had a higher SDQ total difficulties score (β = 0.90, 95%CI: 0.01, 1.80). Children who spent more than 4 h on online courses had a higher SDQ total difficulties score than those of less than or equal to 4 h (β = 0.95, 95%CI: 0.09, 1.81).

conclusionWe found that online courses with inappropriate characteristics were associated with children's mental health. The findings called for the efforts to optimize the online courses and improve children's mental health.

Indexed as

Mental DisordersMental HealthChildChinaCross-Sectional StudiesHumansParentsSurveys and QuestionnairesChildrenMental healthOnline course

Identifiers

PMID35538454
PMCPMC9087162
OpenAlexW4229444933

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.