Survey on the Current Status of Depression among Elderly Residents in Hunan Province and the Construction of a Risk Prediction Model
Objective:To investigate the current status of depression among the elderly in Hunan province,understand the predictive degree of various risk factors on the incidence of depression in the elderly,build a clinical risk prediction model,and internally validate model's performance.Methods:the study focused on the elderly(≥60 years old)in the Hunan province,using χ2 testing and multi-factor logistic regression to analyze the risk factors of elderly depression.Use the R software to build the prediction model,and at the same time use the C statistical magnitude and calibration curve to verify it.Use the decision curve to evaluate the practicability.Results:The depression rate among the elderly in the communities in Hunan Province is 34.11%.Regional location,gender,residence(urban and rural),education level,marriage,income,deposit,drinking,chronic disease,disability,hearing,vision,physical function and living alone are the risk factors related to elderly depression(P<0.05).In multiple factors analysis,the constructed risk prediction line diagram model sensitivity is 0.083,the specific degree is 0.709,and the area under the ROC curve is 0.812(95%CI:0.781-0.843).Conclusion:The prevalence of depression symptoms among elderly people in the community in Hunan Province is relatively high.The rate of women is higher than that of men.The rate of rural areas are higher than that of the city.Attentions should be paid to the chronic diseases,physical function,hearing,vision conditions of the elderly(particularly those live alone).The elderly depression risk prediction line diagram models can be used to identify SD high-risk population recognition and predict risk,and can be clinically promoted.
the elderlythe survey of depressionrisk prediction modelconstruction
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