Mental status and influencing factors of elderly people in community
Objective To study retrospectively the psychological status of elderly people in communities and the related factors affecting their anxiety and depression.Methods A retrospective analysis was conducted on 80 elderly pa-tients with established resident health records in a community from December 2022 to December 2023,according to the Self-rating anxiety Scale(Zung)in the archives.The assessment results of SAS and Zung Self-Rating Depression Scale(SDS)were divided into two groups:occurrence group and non-occurrence group,and the data of the elderly in the two groups were collected and compared.Logistic regression model was used to analyze the relevant factors affecting the mental state,the risk prediction model was constructed,the value of the model was evaluated by Receiver Operating Character-istic Curve(ROC),and the calibration curve and decision curve were constructed.Results Marital status,monthly in-come,chronic disease,living alone,Pittsburgh sleep quality index(PSQI)score and General Self-Efficacy Scale,There were significant differences in GSES scores(P＜0.05),and the above factors were all risk factors for anxiety and depres-sion in the elderly in the community(OR value＞1).By constructing a column graph and drawing a ROC curve to verify the accuracy of the column prediction model,it was found that the AUC was 0.769 and the 95％CI was(0.666～0.871).The calibration curve and reference curve of the risk prediction model are similar,which proves that the predicted risk and ac-tual risk of anxiety and depression of the elderly in the community have high consistency.At the same time,the net benefit rate of the forecast model is high,which proves that the applicability of the forecast model is good.Conclusion Marital status,monthly income,chronic disease,living alone,sleep and self-efficacy are all influencing factors of anxiety and depression among elderly people in the community.Therefore,the risk prediction model built has high predictive efficacy and good applicability,and provides guidance for taking intervention measures.
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