Abstract:
ObjectiveTo analyze the depression status and its associated factors of residents in Anting Town of Shanghai.
MethodsBy adopting a multi-stage random sampling method, 2 500 people were selected from among the residents in Anting Town. Questionnaires were independently completed by the residents surveyed and a total of 2 498 valid questionnaires were collected. The depression module for Patient Health Questionnaire (PHQ-9) was used to evaluate depression symptoms. Univariate and multivariate logistic regression analyses were used to analyze the depression status and its associated factors.
ResultsThe detection rate of depression symptoms was 4.60% and the main symptom was light depression. Lack of vitality, eating disorders, sleep disorders and loss of enjoyment were among the most frequently-selected items in the univariate evaluation for the depression status. The results of univariate analyses indicated that age, educational level, marital status, self-evaluated health status and average(per person) family monthly income were the factors associated with the depression status. The results of multivariate analyses indicated that self-evaluated health status and average(per person) family monthly income were the main associated factors.
ConclusionThe prevalence of depression status for the residents in Anting Town is relatively low. Emphases should be focused on the residents with poor health condition and with the average(per person) family monthly income below 2 000 RMB yuan.
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