国际护理科学（英文）2023，Vol.10Issue(3)：383-390,8.DOI:10.1016/j.ijnss.2023.06.010
老年人视力障碍的危险因素及风险预测模型的建立与验证
Development and validation of a risk prediction model for visual impairment in older adults
摘要
Abstract
Objectives:This study aimed to determine the risk factors that affect visual impairment in older adults for developing and evaluating a visual impairment risk prediction model.Methods:In this hospital-based unmatched case-control design study,we enrolled 586 participants(411 in the training set and 175 in the internal test set)from the ophthalmology clinic and physical exami-nation center of a teaching hospital in Liaoning Province,China,from June to December 2020.Visual impairment was defined as best-corrected visual acuity＜6/18(The WHO definition).Possible influencing factors of visual impairment were assessed,including demographic factors,socioeconomic factors,dis-ease and medication factors,and lifestyle.A visual impairment risk prediction model was developed using binary logistic regression analysis.The area under the ROC curve(AUC)was used to evaluate the effectiveness of the proposed prediction model.Results:Six independent influencing factors of visual impairment in older adults were identified:age,systolic blood pressure,physical activity scores,diabetes,self-reported ocular disease history,and edu-cation level.A visual impairment risk prediction model for older adults was developed,showing powerful predictive ability in the training set and internal test set with AUCs of 0.87(95％CI 0.83-0.90)and 0.81(95％CI 0.74-0.88),respectively.Conclusions:The risk prediction model for visual impairment in older adults had high predictive power.Identifying older adults at risk for developing visual impairment can help healthcare workers to adopt appropriate targeted programs for early education and intervention to prevent or delay visual impair-ment and prevent injuries due to visual impairment in older adults.关键词
老年人/生活方式/低视力/危险因素Key words
Aged/Life style/Low vision/Risk factors引用本文复制引用
赵月,王爱平..老年人视力障碍的危险因素及风险预测模型的建立与验证[J].国际护理科学（英文）,2023,10(3):383-390,8.基金项目
Data collection costs for this study such as material costs and transportation costs were funded by the National Natural Science Foundation of China(NO:71974198). （NO:71974198）
