Introduction:Classroom environments—the primary visual setting for students—may significantly influence ocular health.This study examined key modifiable factors of poor vision related to primary and junior high scho...Introduction:Classroom environments—the primary visual setting for students—may significantly influence ocular health.This study examined key modifiable factors of poor vision related to primary and junior high school classroom environments in Guangdong,China.Methods:We analyzed population-based data(of 180,584 students and 3,905 classrooms)from the Surveillance Program for Common Student Diseases and Health Risk Factors implemented in Guangdong in 2024.Multivariable logistic regression was employed to examine associations between poor vision and classroom conditions.XGBoost modeling and Shapley Additive Explanations(SHAP)were applied to rank the relative importance of environmental predictors.Results:The prevalence of poor vision was 60.22%.An unqualified desk-chair allocation compliance rate,blackboard reflectance,and desktop illuminance uniformity were independently associated with higher odds of poor vision,with adjusted odds ratios(95%confidence interval)of 1.05(1.01,1.08),1.09(1.06,1.11),and 1.05(1.02,1.08),respectively.The SHAP analysis identified blackboard reflectance as the most influential factor,followed by blackboard average illuminance,desk-chair allocation compliance rate,and desktop illuminance uniformity.Conclusions:Blackboard reflectance,desk-chair allocation compliance rate,and desktop illuminance uniformity were critical modifiable factors.A multisectoral collaboration mechanism aligned with national myopia prevention policies is recommended to ensure compliance with visual environmental standards in educational settings.展开更多
基金Supported by the 2023 Provincial Science and Technology Innovation Strategy Project(2023A1111120013).
文摘Introduction:Classroom environments—the primary visual setting for students—may significantly influence ocular health.This study examined key modifiable factors of poor vision related to primary and junior high school classroom environments in Guangdong,China.Methods:We analyzed population-based data(of 180,584 students and 3,905 classrooms)from the Surveillance Program for Common Student Diseases and Health Risk Factors implemented in Guangdong in 2024.Multivariable logistic regression was employed to examine associations between poor vision and classroom conditions.XGBoost modeling and Shapley Additive Explanations(SHAP)were applied to rank the relative importance of environmental predictors.Results:The prevalence of poor vision was 60.22%.An unqualified desk-chair allocation compliance rate,blackboard reflectance,and desktop illuminance uniformity were independently associated with higher odds of poor vision,with adjusted odds ratios(95%confidence interval)of 1.05(1.01,1.08),1.09(1.06,1.11),and 1.05(1.02,1.08),respectively.The SHAP analysis identified blackboard reflectance as the most influential factor,followed by blackboard average illuminance,desk-chair allocation compliance rate,and desktop illuminance uniformity.Conclusions:Blackboard reflectance,desk-chair allocation compliance rate,and desktop illuminance uniformity were critical modifiable factors.A multisectoral collaboration mechanism aligned with national myopia prevention policies is recommended to ensure compliance with visual environmental standards in educational settings.
