Analysis of factors affecting depression and anxiety in elderly patients with multiple chronic diseases and con-struction of a nomogram prediction model
Objective To analyze the influencing factors of depression and anxiety in elderly patients with multiple chronic diseases and construct a prediction model.Methods A total of three hundred and eighty-seven elderly patients with chronic diseases treated in this hospital from January 2021 to December 2023 were selected as the research objects,and were divided into modeling group(n=271)and verification group(n=116)by random sampling according to a ratio of 7:3.Self-rating depression scale(SDS)and self-rating anxi-ety scale(SAS)were used to evaluate the incidence of depression and anxiety of patients.General data were collected by questionnaires.Multivariate Logistic regression was used to analyze the influencing factors of de-pression and anxiety in elderly patients with chronic diseases.The nomogram model for predicting the risk of depression and anxiety in elderly patients with chronic diseases was constructed by rms program package in R software,and clinical decision curve(DCA)was drawn by rmda program package to evaluate its clinical ap-plication value.Hosmer-Lemeshow test,ROC curve and calibration curve were used to validate the model.Results Univariate analysis showed that the proportions of female(X2=13.899),living alone(X2=21.066),numbers of chronic diseases≥4(X2=13.108)and low-level social support(X2=13.594)in de-pression and anxiety group were higher than those in normal group(P＜0.05).Multivariate Logistic regres-sion analysis showed that being female,living alone,number of chornic diseases≥4,and low level of social support were all influencing factors of depression and anxiety in elderly chronic diseases(P＜0.05).In the Hosmer-Lemeshow test,modeling group x2=11.135,P=0.133;Verification group x2=5.710,P=0.574.ROC curve showed that the area under the line of modeling group and verification suite was 0.874 and 0.844,respectively,and the calibration curve was in good agreement with the ideal curve.DC A curve shows that the nomogram model has high clinical application value.Conclusion The depression and anxiety in elder-ly patients with multiple chronic diseases are influenced by gender,living conditions,numbers of chronic dis-eases and social support.The nomogram model constructed based on this has good predictive value.
Multiple chronic diseases in the elderlyDepressionAnxietyInfluencing factorsPre-diction model
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