ArticleBMC public health2023
Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Identifying potential therapeutic targets for high myopia via a case-control study and Mendelian randomisation analyses of the human blood metabolome.Eye (London, England) · 2026Article
- Association between building density and screening myopia in children and adolescents: a 5-year longitudinal study from China.The British journal of ophthalmology · 2026Article
- Coprevalence of modifiable gastric cancer risk factors and gastric health among Chinese high-risk groups.Scientific reports · 2025Article
- A survey of public eye-care behavior and myopia education.Frontiers in public health · 2025Article
- Social anxiety, loneliness, and mobile phone addiction among nursing students: latent profile and moderated mediation analyses.BMC nursing · 2024Article
- A generalized additive model analysis of school classroom environment and students' refractive state progression.BMC public health · 2024Article
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Authors and funding
7 authors at 4 institutions in 1 country.
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Abstract
backgroundMyopia is prevalent in children and adolescents. Understanding the effect of multiple behaviors and their latent patterns on ocular biometric parameters may help clinicians and public health practitioners understand the behavioral risk pattern of myopia from a person-centered perspective. The purpose of this study was to identify the patterns of four major behavioral risk factors associated with myopia, including time spent outdoors, digital screen time, sleep duration, and performance of Chinese eye exercises. The study also examined the relationships between these behavioral patterns and myopia as well as ocular biometric parameters in a sample of Chinese college students.
methodsThis study included 2014 students from the Dali University Students Eye Health Study. The average age of the subjects was 19.0 ± 0.9 years old, ranging from 15.7 to 25.1 years old. Each participant's refractive status was measured using an autorefractor without cycloplegia and ocular biometric parameters were measured using an IOL Master. Behavioral risk factors were collected using a pre-designed self-administered questionnaire. Latent class analysis (LCA) was performed to identify cluster patterns of various behaviors.
resultsThe prevalence of myopia was 91.8% in this population. The 2-class model was selected for the LCA based on goodness-of-fit evaluation metrics. Among the overall study sample, 41.1% and 58.9% were assigned into the high-risk and low-risk class, respectively. The risk of myopia [odds ratio (OR) = 2.12, 95% confidence interval (CI) = 1.52-3.14], high myopia (OR = 1.43, 95% CI = 1.14-1.78) and axial length/corneal radius (AL/CR) ratio of more than 3.0 (OR = 1.82, 95% CI = 1.22-2.72) were significantly higher in the high-risk compared with low-risk class.
conclusionsChinese university students showed differential risks of myopia and could be subdivided into high- and low-risk clusters based on four behavioral variables.
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