Evidence map›Paper›PMID 41099008›Full record

ArticleChina CDC weekly2025

Regional Heterogeneity in Screen Time and Usage Habits Associated with Insufficient Hyperopic Reserve in Schoolchildren - 9 PLADs, China, 2020-2024.

Yuwei Zhang, Huijuan Luo, Shuaixing Song, Ran Qin, Yanhua Chen, Ming Wu, Liru Wang, Ciyong Lu, Xin Guo

Abstract read
In one paragraph

Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yuwei Zhang *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.
Huijuan Luo *Beijing Center for Disease Prevention and Control, Beijing, China.
Shuaixing SongDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.
Ran QinBeijing Center for Disease Prevention and Control, Beijing, China.
Yanhua ChenHunan Provincial Center for Disease Control and Prevention, Changsha City, Hunan Province, China.
Ming WuLiaoning Provincial Center for Disease Control and Prevention, Shenyang City, Liaoning Province, China.
Liru WangHenan Provincial Center for Disease Control and Prevention, Zhengzhou City, Henan Province, China.
Ciyong LuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.
Xin GuoChinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Insufficient hyperopic reserve serves as a preclinical indicator of myopia development and is influenced by socioeconomic factors and behavioral patterns. However, region-specific risk profiles remain inadequately characterized. What is added by this report?: This nationwide investigation demonstrates substantial regional heterogeneity in myopia risk factors. Children residing in low-gross domestic product (GDP) regions exhibit significantly stronger associations between screen time usage and poor screen habits with insufficient hyperopic reserve. This relationship is most pronounced among girls in low-GDP areas. What are the implications for public health practice?: Public health interventions should prioritize targeted screen use guidance for children, particularly girls in socioeconomically disadvantaged regions, to effectively protect visual health and prevent myopia progression.

Indexed as

Insufficient Hyperopic ReserveRegional HeterogeneityScreen HabitsScreen Time

Identifiers

PMID41099008
PMCPMC12518968

What OpenQuestion holds

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Registered trials

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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.