Evidence map›Paper›PMID 41953465›Full record

ArticleChina CDC weekly2026

Classroom Environmental Determinants of Poor Vision in Chinese Schoolchildren - Guangdong Province, China, 2024.

Jingxi Feng, Jing Jiang, Meng Li, Rong Liu, Qiuxia Chen, Chengshu Yang, Jiwei Niu, Lin Xu, Yabin Qu

Abstract read
In one paragraph

Article in China CDC weekly, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jingxi Feng *School of Public Health, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.
Jing Jiang *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Meng LiGuangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Rong LiuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Qiuxia ChenGuangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Chengshu YangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Jiwei NiuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.
Lin XuSchool of Public Health, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.
Yabin QuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: The prevalence of poor vision among Chinese children and adolescents has been progressively increasing, constituting a significant public health concern. As the primary visual setting for students, the classroom environment may have a profound impact on ocular health. What is added by this report?: This study revealed a poor vision detection rate of 60.22% among primary and junior high school students. The statistically significant relevant factors were blackboard reflectance, desk-chair allocation compliance rate, and desktop illuminance uniformity. What are the implications for public health practice?: This study provides scientific evidence and prioritizes recommendations for modifying classroom environments. It supports targeted environmental interventions as a priority in school-based myopia prevention strategies.

Indexed as

Classroom EnvironmentLightingPoor VisionStudents

Identifiers

PMID41953465
PMCPMC13054696

What OpenQuestion holds

Textmetadata
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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.