Evidence map›Paper›PMID 41803834›Full record

ArticleBMC public health2026

Prevalence of poor vision and its associated factors among middle school students: a cross-sectional study.

Ben-Shan Niu, Li-Juan Dai, Jun-Tao Shu, Ying Yu, Yin-Hua Jiang, Xun Zhuang, Ya-Qin Zhong, Gang Qin

Abstract read
In one paragraph

Article in BMC public health, 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

8 authors.

Ben-Shan Niu *Joint Division of Clinical Epidemiology, Affiliated Hospital of Nantong University, School of Public Health of Nantong University, Nantong, JS, China.
Li-Juan Dai *Department of Epidemiology and Biostatistics, School of Public Health of Nantong University, Nantong, JS, China.
Jun-Tao Shu *Chuxiong Prefecture Center for Disease Control and Prevention, Chuxiong, YN, China.
Ying YuDepartment of Ophthalmology, Affiliated Hospital of Nantong University, Nantong, JS, China.
Yin-Hua JiangDepartment of Medical Genetics, Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong, JS, China.
Xun ZhuangDepartment of Epidemiology and Biostatistics, School of Public Health of Nantong University, Nantong, JS, China. xzhuang@ntu.edu.cn.
Ya-Qin ZhongDepartment of Health Management, School of Public Health of Nantong University, Nantong, JS, China. yqzhong@ntu.edu.cn.
Gang QinJoint Division of Clinical Epidemiology, Affiliated Hospital of Nantong University, School of Public Health of Nantong University, Nantong, JS, China. tonygqin@ntu.edu.cn.

Funding

Jiangsu Provincial Research Hospital YJXYY202204-YSA03Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX24_3542
6 · The paper itself

Abstract

backgroundPoor vision is a global public health challenge, with rising prevalence and earlier onset among Chinese adolescents. This study analyzed the prevalence and factors associated with poor vision among middle school students in Nantong.

methodsOphthalmological examinations data were collected from 196,969 students across 32 middle schools (2018 to 2023). The Cochran-Armitage trend test analyzed the temporal and grade-level trends. A multi-stage stratified cluster sampling survey collected psychological and behavioral questionnaire data (2018: 1,392 vs. 2023: 1,380) from 5 out of the 32 schools. Exploratory factor analysis (EFA) identified potential factor structure, multivariate logistic regression quantified adjusted odds ratios (OR), and gender-stratified structural equation model (SEM) examined association pathways.

resultsThe prevalence of poor vision increased from 86.95% (2018) to 88.67% (2023), showed upward trends across grade-level (β = 0.027, P-trend < 0.001) and survey years (β = 0.007, P-trend < 0.001). Prevalence among females was higher (P < 0.001). In 2018 students, the eye behavior factor (OR = 1.35, 95%CI: 1.17 to 1.56) and the family heredity and environment factor (OR = 1.21, 95%CI: 1.06 to 1.40) were positively associated with poor vision. By 2023, the family heredity and environment factor (OR = 1.31, 95%CI: 1.14 to 1.50) remained significant, and the psychological factor was significantly associated factor (OR = 1.17, 95%CI: 1.03 to 1.34). Gender-stratified analysis revealed that the adaptive eye regulation factor was inversely associated with poor vision (β = -0.191, P = 0.049) in males, while in females, it showed a direct positive association (β = 0.178, P = 0.013).

conclusionThe psychological factor is significantly associated with poor vision in students, with notable gender-specific pathways. These findings highlight the need for integrated, gender-tailored interventions to address this public health challenge.

trial registrationThis study was approved by the Ethics Committee of Affiliated Hospital of Nantong University (Approval No. 2021-K118-02).

Indexed as

StudentsVision DisordersAdolescentChinaCross-Sectional StudiesFemaleHumansMalePrevalenceRisk FactorsSchoolsSurveys and QuestionnairesGender differencesMiddle school studentsPoor visionPsychological factors

Identifiers

PMID41803834
PMCPMC13188317

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.