Prevalence and patterns of major depressive disorder and subthreshold depressive symptoms in south China

重性抑郁障碍 心理健康 萧条(经济学) 多项式logistic回归 中国大陆 医学 人口学 横断面研究 精神科 逻辑回归 老年学 中国 心情 内科学 地理 考古 经济 宏观经济学 病理 机器学习 社会学 计算机科学
作者
Dan-Dan Liao,Min Dong,Kai‐Rong Ding,Cai‐Lan Hou,Wenyan Tan,Yun-Fei Ke,Fu‐Jun Jia,Shibin Wang
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:329: 131-140 被引量:14
标识
DOI:10.1016/j.jad.2023.02.069
摘要

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.
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