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Analysis of influencing factors of myopia in children and adolescents based on random forest model
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Mi-le LIN1, Hui PENG2, Fei-fei YANG2, Jun-lei XUE2, Yan-fei ZHANG2, Hong-jie YU2, Fei-fei MA2, Qian PENG2, Ying WANG3, Hui-jing SHI3
Modern Preventive Medicine | 2024, 51(21) : 3905 - 3911
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Modern Preventive Medicine | 2024, 51(21): 3905-3911
Child and Adolescent Health, Maternal and Child Health
Analysis of influencing factors of myopia in children and adolescents based on random forest model
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Mi-le LIN1, Hui PENG2, Fei-fei YANG2, Jun-lei XUE2, Yan-fei ZHANG2, Hong-jie YU2, Fei-fei MA2, Qian PENG2, Ying WANG3, Hui-jing SHI3
Affiliations
  • Peking Union Medical College, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
Published: 2024-11-10 doi: 10.20043/j.cnki.MPM.202404255
Outline
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Objective

To analyze the influencing factors of myopia in children and adolescents, providing references for precise myopia prevention.

Methods

A stratified cluster random sampling method was employed to select 1 660 students aged 9 to 18 from six schools in Jiading District, Shanghai, for vision testing and questionnaire surveys from September to October of 2021.The random forest model was utilized to rank the importance of myopia influencing factors, and the sliding window sequential forward selection method was applied for dimensionality reduction. The factors with the highest importance scores and the lowest average out-of-bag estimation error rates were included in a multifactorial logistic regression analysis model to estimate the direction and effect values of the influencing factors.

Results

The myopia rate among the 1 660 children and adolescents was 71.99%. The random forest model indicated that the average out-of-bag estimation error rate was minimized when the number of variables was six. When incorporated into the multifactorial logistic regression analysis model, the results showed that advancing educational stage (junior high: OR=5.191, 95%CI: 3.738-7.209; senior high: OR=6.989, 95%CI: 4.309-11.338), parental myopia (one parent myopic: OR=3.669, 95%CI: 2.723-4.943; both parents myopic: OR=5.231, 95%CI: 3.510-7.795), increased reading and writing duration (<1h: OR=12.192, 95%CI: 3.373-44.066; 1-2h: OR=11.985, 95%CI: 3.364-42.704; ≥2h:OR=10.547, 95%CI: 2.957-37.622), participation in extracurricular classes (<6 years: OR=3.114, 95%CI: 2.046-4.740; ≥6 years: OR=1.817, 95%CI: 1.351-2.444), and using only ceiling lights for reading and writing at home after dark (OR=2.921,95%CI: 2.009-4.248) were identified as risk factors for myopia. In contrast, a sleep duration of ≥8 hours (OR=0.383, 95%CI:0.264-0.557) was identified as a protective factor against myopia.

Conclusion

The prevalence of myopia among children and adolescents is high, and targeted measures should be implemented based on the identified influencing factors for myopia prevention and control.

Random forest model  /  Children and adolescents  /  Myopia  /  Influencing factors
Mi-le LIN, Hui PENG, Fei-fei YANG, Jun-lei XUE, Yan-fei ZHANG, Hong-jie YU, Fei-fei MA, Qian PENG, Ying WANG, Hui-jing SHI. Analysis of influencing factors of myopia in children and adolescents based on random forest model[J]. Modern Preventive Medicine, 2024 , 51 (21) : 3905 -3911 . DOI: 10.20043/j.cnki.MPM.202404255
Year 2024 volume 51 Issue 21
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Article Info
doi: 10.20043/j.cnki.MPM.202404255
  • Receive Date:2024-04-13
  • Online Date:2026-03-20
  • Published:2024-11-10
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  • Received:2024-04-13
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    Peking Union Medical College, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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