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| Positive rates and influencing factors of depression and anxiety among managed diabetic patients in community |
| CHEN Xiang-yu*, ZHONG Jie-ming, GUO Li-hua, ZHAO Ming, XU Chun-xiao, LU Feng, LI Hui, GAO Xin, FANG Le
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| *Zhejiang Provincial Center for Disease Control and Prevention,Hangzhou,Zhejiang 310051,China |
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Abstract Objective To explore the positive rates and influencing factors of depression and anxiety among managed diabetic patients in community and to provide evidence for the future mental health intervention.Methods Random sampling method was used to select the diabetic patients from the local health information platform in Ningbo. The anxiety and depression symptoms of the diabetic patients were evaluated by 9-Item Patient Health Questionnaire（PHQ-9）and 7-Item Generalized Anxiety Disorder Scale（GAD-7）. Logistic regression model was applied to analyzing the influencing factors for anxiety and depression in diabetic patients.Results A total of 1 032 diabetic patients were enrolled,with a response rate of 91.98%. The positive rate of depression was 9.01% and the positive rate of anxiety was 3.78%. The results of multivariate logistic regression analysis showed that divorced/widowed（OR=3.046,95%CI：1.522-6.100）,having two comorbidities or more（OR=6.723,95%CI：2.495-18.120）and suffering diabetes for more than ten years（OR=2.668,95%CI：1.406-5.062）were the risk factors for depression in diabetic patients,while having a college education or above（OR=0.288,95%CI：0.093-0.893）was the protective factor for depression in diabetic patients;unmarried（OR=13.244,95%CI：1.268-138.377）,having two comorbidities or more（OR=6.979,95%CI：2.164-22.503） and suffering diabetes for more than ten years（OR=3.109,95%CI：1.241-7.787）were the risk factors for anxiety in diabetic patients.Conclusion Marital status,the number of comorbidity,course of diabetes and education level could affect the occurrence of depression in diabetic patients;marital status,the number of comorbidity and course of diabetes could affect the occurrence of anxiety in diabetic patients.
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Received: 11 April 2019
Revised: 27 April 2019
Published: 02 July 2019
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