Evidence map›Paper›PMID 39426975›Full record

ArticleScientific reports2024

Prevalence and risk factors of myopia among children and adolescents in Hangzhou.

Lijuan Zhao, Xiujun Jiang, Wenhui Zhang, Li Hao, Yuting Zhang, Shangxi Wu, Bing Zhu, Hong Xu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 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

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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  6. The application of artificial intelligence in myopia prediction for children and adolescents: a review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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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

8 authors.

Lijuan ZhaoDepartment of Health Hazards Surveillance, Hangzhou Center For Disease Control and Prevention (Hangzhou Health Supervision Institution), No. 568 Mingshi Road, Hangzhou, 310021, Zhejiang, China.
Xiujun JiangDepartment of Automotive and Architectural Landscape Architecture, Fuyang College: Zhejiang Open University, Hangzhou, Zhejiang, China.
Wenhui ZhangDepartment of Health Hazards Surveillance, Hangzhou Center For Disease Control and Prevention (Hangzhou Health Supervision Institution), No. 568 Mingshi Road, Hangzhou, 310021, Zhejiang, China.
Li HaoDepartment of Health Hazards Surveillance, Hangzhou Center For Disease Control and Prevention (Hangzhou Health Supervision Institution), No. 568 Mingshi Road, Hangzhou, 310021, Zhejiang, China.
Yuting ZhangDepartment of Health Hazards Surveillance, Hangzhou Center For Disease Control and Prevention (Hangzhou Health Supervision Institution), No. 568 Mingshi Road, Hangzhou, 310021, Zhejiang, China.
Shangxi WuDepartment of Health Hazards Surveillance, Hangzhou Center For Disease Control and Prevention (Hangzhou Health Supervision Institution), No. 568 Mingshi Road, Hangzhou, 310021, Zhejiang, China.
Bing ZhuInstitute of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, NO. 3399 Binsheng Road, Hangzhou, 310057, Zhejiang, China. hzcdcbingzhu@163.com.
Hong XuDepartment of Health Hazards Surveillance, Hangzhou Center For Disease Control and Prevention (Hangzhou Health Supervision Institution), No. 568 Mingshi Road, Hangzhou, 310021, Zhejiang, China. xuhong-123456@hotmail.com.

Funding

the Medical and Health Science and Technology Project of Hangzhou A20220246
6 · The paper itself

Abstract

To analyze the prevalence and influencing factors of myopia among children and adolescents in Hangzhou city, and provide ideas for the formulation of myopia prevention and control measures. A cross-sectional school-based study using stratified cluster random sampling method was used to select 31,880 students from 113 schools in Hangzhou city. Myopia screening and questionnaires on the influencing factors of poor visual acuity were carried out. Univariate and multivariate logistic regression were used to screen possible risk factors of myopia. The overall prevalence of myopia was found to be 55.3% (17,630/31,880), with the myopia rates observed among students in kindergarten, primary school, junior high school, and senior high school, at 5.8%, 34.9%, 74.2%, and 85.0%, respectively. As the academic year progresses, there has been an observable increase in the prevalence of myopia (χ

Indexed as

MyopiaAdolescentChildChinaCross-Sectional StudiesFemaleHumansMalePrevalenceRisk FactorsSchoolsStudentsSurveys and QuestionnairesAdolescentsChildrenMyopiaPrevalenceRegression analysis

Identifiers

PMID39426975
PMCPMC11490480

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.