Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis
Abstract Background Myopia 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 per...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-07-01
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| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-023-15963-7 |
| _version_ | 1797773880932171776 |
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| author | Dan-Lin Li Zhi-Jian Yin Yue-Zu Li Ya-Jie Zheng Yu Qin Gang Liang Chen-Wei Pan |
| author_facet | Dan-Lin Li Zhi-Jian Yin Yue-Zu Li Ya-Jie Zheng Yu Qin Gang Liang Chen-Wei Pan |
| author_sort | Dan-Lin Li |
| collection | DOAJ |
| description | Abstract Background Myopia 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. Methods This 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. Results The 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. Conclusions Chinese university students showed differential risks of myopia and could be subdivided into high- and low-risk clusters based on four behavioral variables. |
| first_indexed | 2024-03-12T22:12:53Z |
| format | Article |
| id | doaj.art-4e1abd3d963f4506a4c2fb8762fa5bf6 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-03-12T22:12:53Z |
| publishDate | 2023-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-4e1abd3d963f4506a4c2fb8762fa5bf62023-07-23T11:28:40ZengBMCBMC Public Health1471-24582023-07-012311810.1186/s12889-023-15963-7Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysisDan-Lin Li0Zhi-Jian Yin1Yue-Zu Li2Ya-Jie Zheng3Yu Qin4Gang Liang5Chen-Wei Pan6School of Public Health, Suzhou Medical College of Soochow UniversityDepartment of Ophthalmology, the First Affiliated Hospital of Dali UniversityDepartment of Ophthalmology, the Affiliated Hospital of Yunnan UniversityDepartment of Ophthalmology, the Affiliated Hospital of Yunnan UniversityDepartment of Ophthalmology, the Affiliated Hospital of Yunnan UniversityDepartment of Ophthalmology, the Affiliated Hospital of Yunnan UniversitySchool of Public Health, Suzhou Medical College of Soochow UniversityAbstract Background Myopia 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. Methods This 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. Results The 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. Conclusions Chinese university students showed differential risks of myopia and could be subdivided into high- and low-risk clusters based on four behavioral variables.https://doi.org/10.1186/s12889-023-15963-7BehaviorsMyopiaOcular biometric parameterLatent class analysis |
| spellingShingle | Dan-Lin Li Zhi-Jian Yin Yue-Zu Li Ya-Jie Zheng Yu Qin Gang Liang Chen-Wei Pan Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis BMC Public Health Behaviors Myopia Ocular biometric parameter Latent class analysis |
| title | Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis |
| title_full | Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis |
| title_fullStr | Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis |
| title_full_unstemmed | Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis |
| title_short | Identification of high-risk patterns of myopia in Chinese students based on four major behavioral risk factors: a latent class analysis |
| title_sort | identification of high risk patterns of myopia in chinese students based on four major behavioral risk factors a latent class analysis |
| topic | Behaviors Myopia Ocular biometric parameter Latent class analysis |
| url | https://doi.org/10.1186/s12889-023-15963-7 |
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