Prevalence of Depressive Symptoms and Related Factors among Female Residents in Hefei City
Objective To investigate the prevalence of depressive symptoms in urban female residents and explore its related factors under modern lifestyles.Methods Totally 5 822 female residents were selected.A self-designed questionnaire was used to collect the information of the subjects,including sociodemographic characteristics,daily li-ving conditions,self-perceived health status and social support,and patient health questionnaire(PHQ-9)was used for depressive symptoms screening.Multivariate Logistic regression analysis was used to analyze the related factors of depressive symptoms among female residents in Hefei.Back Propagation(BP)neural network model was established to examine the rank of importance of those related factors.Results The prevalence of depressive symptoms among female residents in Hefei was 34.8％.Multivariate Logistic regression model screened out 9 related factors affecting the depressive symptoms.The results of BP neural network model showed that the order of importance of these re-lated factors was,access to social support(100.0％),self-rated sleep status(88.8％),self-rated work or study pres-sure(72.4％),self-rated health status(59.0％),marital status(41.8％),mobile phone use(38.5％),exercise habits(35.9％),education level(30.9％),and reading habits(26.7％).Conclusion The prevalence of depressive symp-toms is high among female residents in Hefei.Health authorities should focus on the prevention and treatment of de-pressive symptoms among female residents based on their access to social support,self-rated sleep status,self-rated work pressure and self-rated health status.
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