Evidence map›Paper›PMID 33292463›Full record

ArticleChild and adolescent psychiatry and mental health2020

Prevalence of mental health problems in Chinese schoolchildren: The influence of measuring impact score and combining information from multiple informants.

Li Liu, Shuang Li, Wen Pan, Lijuan Wang, Yang Zheng, Xiaoxia An, Yan Zhou, Yanxia Li, Jun Na, Rui Zhang and 6 more

Abstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Li LiuInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, P. R. China.
Shuang LiInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, P. R. China.
Wen PanInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, P. R. China.
Lijuan WangAnshan Municipal Center for Disease Control and Prevention, Anshan, P. R. China.
Yang ZhengPanjin Municipal Center for Disease Control and Prevention, Panjin, P. R. China.
Xiaoxia AnBenxi Municipal Center for Disease Control and Prevention, Benxi, P. R. China.
Yan ZhouDandong Municipal Center for Disease Control and Prevention, Dandong, P. R. China.
Yanxia LiInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, P. R. China.
Jun NaInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, P. R. China.
Rui ZhangInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, P. R. China.
Huijuan MuInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, P. R. China.
Wen DongDepartment of Personal Resource, Dalian Medical College, Dalian, P. R. China.
Yuan GaoResearch Center for Universal Health, School of Public Health, China Medical University, Shenyang, 110122, P. R. China.
Wei SunResearch Center for Universal Health, School of Public Health, China Medical University, Shenyang, 110122, P. R. China.
Guowei PanResearch Center for Universal Health, School of Public Health, China Medical University, Shenyang, 110122, P. R. China.
Lingjun YanResearch Center for Universal Health, School of Public Health, China Medical University, Shenyang, 110122, P. R. China. ljyan@cmu.edu.cn.ORCID http://orcid.org/0000-0001-7382-8149

Funding

Department of Science and Technology of Liaoning Province 2005225012
6 · The paper itself

Abstract

backgroundTo measure the effects of using different combinations of multiple informants and the impact score on the estimated prevalence of mental health problems in Chinese schoolchildren.

methodsComplete information on the Strengths and Difficulties Questionnaire (SDQ) were obtained from students (S), parents (P), and teachers (T) for 4986 schoolchildren (11-17 years-old). We used 3 criteria to determine the prevalence of mental health problems: SDQ cut-off value (previously established in the United Kingdom), SDQ cut-off value plus an impact score of 1 or more, or plus an impact score of 2 or more. A student was defined as having a mental health problem if any informant (S, P, or T) classified the child as 'abnormal'. We compared the prevalence of mental health problems determined from 1 informant, 2 informants, and 3 informants.

resultsThe prevalence of overall mental health problems increased with rising number of informants, but decreased with increasing impact score. When the impact score was not considered, the prevalence was 8.2% to 14.2% when rated by 1 informant, 18.8% to 24.7% when rated by 2 informants, and 28.3% when rated by all 3 informants. Failure to measure the impact score led to a two to threefold greater estimate of the prevalence of mental health problems.

conclusionsThe types, number, and combinations of multiple informants and use of the impact score must be considered when comparing the results of different studies. It is preferable to use multiple informants and have the impact score taken the impact into account to reflect the real burden of mental health burden in children and adolescent.

Indexed as

Combined informationImpact scoreMental health problemsMultiple informantsPrevalence

Identifiers

PMID33292463
PMCPMC7654147

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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.