Evidence map›Paper›PMID 35141665›Full record

ArticleThe Lancet regional health. Western Pacific2022

Coverage of school health monitoring systems in China: a large national cross-sectional survey.

Xiaojin Yan, Peijin Hu, Ning Ma, Dongmei Luo, Jingshu Zhang, Junyi Wang, Yanhui Dong, Yi Xing, Yi Song, Jun Ma and 2 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 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
2.0field-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

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 2 institutions in 2 countries.

Xiaojin YanInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Peijin HuInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Ning MaInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Dongmei LuoInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Jingshu ZhangInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Junyi WangInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Yanhui DongInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Yi XingInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Yi SongInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Jun MaInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
George C PattonThe University of Melbourne, Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, Parkville, Victoria 3010, Australia.
Susan M SawyerThe University of Melbourne, Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, Parkville, Victoria 3010, Australia.
Peking University · CNRoyal Children's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is growing interest in the role that schools can play in promoting student health. The aim of this study was to describe the coverage of school health monitoring systems for infectious diseases, non-communicable diseases, and school physical environments in China, and to explore differences by geography, regional wealth, and school type.

methodsA cross-sectional study was performed using data from 2428 schools from 17 provinces in China in 2018. Data were collected using a questionnaire administered by the Ministry of Education through its monitoring system, and included infectious diseases (e.g., reporting system for student infectious diseases), non-communicable diseases (e.g., regular student health examinations), and school physical environments (e.g., monitoring of classroom light, microclimate and drinking water).

findingsOverall, the coverage rate of full school health monitoring systems was 16·6%. The coverage rates of school health monitoring systems for infectious diseases, non-communicable diseases, and school physical environments were 71·2%, 68·5%, and 24·9%, respectively. Coverage was higher in schools from urban rather than rural areas, in schools from areas with greater wealth, and in senior secondary schools rather than junior secondary and primary schools.

interpretationSystems for monitoring infectious diseases in school students have been widely implemented in China. Systems for monitoring non-communicable diseases and physical environments need to be strengthened. Beyond greater attention in poorer and rural areas, increased investment in more comprehensive approaches to school health is indicated.

fundingThis study was supported by National Statistical Science Research Project (2021LY052 to YS) and China Scholarship Council (201906015028 to PH).

Identifiers

PMID35141665
PMCPMC8814736
OpenAlexW4206353959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.