Simulations to Assess the Performance of Multifactor Risk Scores for Predicting Myopia Prevalence in Children and Adolescents in China

Autor: Hong Wang, Liansheng Li, Wencan Wang, Hao Wang, Youyuan Zhuang, Xiaoyan Lu, Guosi Zhang, Siyu Wang, Peng Lin, Chong Chen, Yu Bai, Qi Chen, Hao Chen, Jia Qu, Liangde Xu
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Genetics, Vol 13 (2022)
Druh dokumentu: article
ISSN: 1664-8021
DOI: 10.3389/fgene.2022.861164
Popis: Background: Myopia is the most common visual impairment among Chinese children and adolescents. The purpose of this study is to explore key interventions for myopia prevalence, especially for early-onset myopia and high myopia.Methods: Univariate and multivariate analyses were conducted to evaluate potential associations between risk factor exposure and myopia. LASSO was performed to prioritize the risk features, and the selected leading factors were used to establish the assembled simulation model. Finally, two forecasting models were constructed to predict the risk of myopia and high myopia.Results: Children and adolescents with persistently incorrect posture had a high risk of myopia (OR 7.205, 95% CI 5.999–8.652), which was 2.8 times higher than that in students who always maintained correct posture. In the cohort with high myopia, sleep time of less than 7 h per day (OR 9.789, 95% CI 6.865–13.958), incorrect sitting posture (OR 8.975, 95% CI 5.339–15.086), and siblings with spherical equivalent
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