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• W4321483551 abstract "Information on major depressive disorder (MDD) and subthreshold depressive symptoms (SDS) is rarely reported in south China. This study examines the prevalence rates and patterns of MDD and SDS of a large representative sample of adult residents in south China. The Guangdong Mental Health Survey was conducted on adults (over 18 years) from September to December 2021. Multistage stratified cluster sampling was used and face-to-face interviews were done with a two-stage design by trained lay interviewers and psychiatrists. A total of 16,377 inhabitants were interviewed using standardized assessment tools. Data were weighted to adjust for differential probabilities of selection and differential response. The weighted prevalence rates of MDD and SDS were 2.5 % (95%CI: 2.2 %–2.9 %) and 14.7 % (95%CI: 14.0 %–15.5 %), respectively. Multinomial logistic regression analysis revealed that female, younger age, living in urban area, higher education, unmarried, irregular meal pattern, lack of physical exercise, chronic diseases, irregular napping pattern and short sleep were positively associated with SDS. Besides, female, younger age, unmarried, irregular meal pattern, lack of physical exercise, chronic diseases, short sleep and poor mental health were positively associated with MDD. The cross-sectional nature of the study limited causal inferences. The prevalence of MDD in Guangdong province in 2021 is higher than in mainland China in 2013. Given the higher prevalence of SDS, and high burden of depression, it also offers valuable opportunities for policymakers and health-care professionals to explore the factors affecting mental health in Guangdong province, especially during the COVID-19 epidemic." @default.
• W4321483551 created "2023-02-23" @default.
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• W4321483551 date "2023-05-01" @default.
• W4321483551 modified "2023-09-27" @default.
• W4321483551 title "Prevalence and patterns of major depressive disorder and subthreshold depressive symptoms in south China" @default.
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• W4321483551 doi "https://doi.org/10.1016/j.jad.2023.02.069" @default.
• W4321483551 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36828143" @default.
• W4321483551 hasPublicationYear "2023" @default.

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