Prevalence and related factors of screening myopia among students in special education schools in Tianjin

XI Wei; HAN Hui; XIONG Wenjuan; HAN Yu; WANG Hui; ZHANG Xin

doi:10.16835/j.cnki.1000-9817.2025051

Volume 46 Issue 3

Mar. 2025

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2025 > 46(3): 443-446

XI Wei, HAN Hui, XIONG Wenjuan, HAN Yu, WANG Hui, ZHANG Xin. Prevalence and related factors of screening myopia among students in special education schools in Tianjin[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(3): 443-446. doi: 10.16835/j.cnki.1000-9817.2025051

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XI Wei, HAN Hui, XIONG Wenjuan, HAN Yu, WANG Hui, ZHANG Xin. Prevalence and related factors of screening myopia among students in special education schools in Tianjin[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(3): 443-446. doi: 10.16835/j.cnki.1000-9817.2025051

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Prevalence and related factors of screening myopia among students in special education schools in Tianjin

doi: 10.16835/j.cnki.1000-9817.2025051

XI Wei¹,
HAN Hui²,
XIONG Wenjuan¹,
HAN Yu¹,
WANG Hui¹,
ZHANG Xin^{1
,
,}

1.
School of Public Health, Tianjin Medical University, Tianjin (300070), China

Received Date: 2024-08-13
Rev Recd Date: 2024-09-12

Available Online: 2025-04-03

Publish Date: 2025-03-25

Abstract

Abstract

Objective To understand the current situation and related factors of screening myopia among students in special education schools, so as to provide evidence for promoting the health level of this population. Methods From November 2021 to December 2023, a total of 281 students from 6 special education schools in 5 districts of Tianjin were selected by cluster random sampling method for computer optometry visual acuity examination for non-ciliary paralysis and questionnaire survey. Multiple Logistic regression was performed to analyze the influencing factors of screening myopia among special education students. Results The screening myopia detection rate among these special education students in Tianjin was 27.0%, and the screening myopia detection rates of students with autism, developmental delays, and intellectual disabilities were 22.4%, 12.5%, and 33.0%, respectively. The degree of myopia increased with age (χ_trend²=22.65, P < 0.01). Multivariate Logistic regression analysis showed that age(10-13 years old: OR=5.40, 14-17 years old: OR=8.40, 18-23 years old: OR=6.02), accommodation(non-resident: OR=0.29), daily mobile phone usage ≥2 hours (OR=2.37), and daily computer/tablet usage ≥2 hours (OR=2.70) were the risk factors for screening myopia among special education students (P < 0.05). Conclusions The detection rate and degree of screening myopia increase with age in special education students. Prolonged screen time exposure is a primary risk factor for screening myopia in special education students. Effective myopia prevention and control strategies should be designed according to the characteristics of special education students.
- Myopia,
- Regression analysis,
- Students,
- Disabled persons

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References

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