ArticleBMC public health2025
Depression and anxiety symptoms and associated factors among community residents in Shenzhen, China: a cross-sectional study.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Association between problematic internet use and depressive symptoms among individuals at high-risk of cannabis use disorder: a cross-sectional study in Quebec (Canada).Addictive behaviors reports · 2026Article
- Measuring the psychological restorative quality of urban spaces: a vision language model-based method.Scientific reports · 2026Article
- Mapping Health State Utility from Disease-Specific Measures in Spinal Muscular Atrophy and Paroxysmal Nocturnal Hemoglobinuria.PharmacoEconomics · 2026Article
- Association between multimorbidity and childhood socioeconomic status with depressive symptoms among middle-aged and older adults in rural western China.Scientific reports · 2026Article
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Authors and funding
6 authors.
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Abstract
backgroundDepressive disorders and anxiety disorders are the most common psychiatric disorders. This study aims to investigate and assess the symptoms of depression and anxiety in general community residents in Shenzhen, China, and to explore their associated factors.
methodsA cross-sectional study was conducted with 1911 permanent community residents from three districts in Shenzhen as subjects. A self-designed structured questionnaire was used to collect basic demographic characteristics of the participants. Depression and anxiety symptoms were collected using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. Univariate and multivariate linear regression analyses were performed using SPSS to identify correlates of depression and anxiety symptoms.
resultsThe detection rates of depression and anxiety symptoms among community residents in Shenzhen were 32.6% and 23.5%, respectively. Insomnia and neuroticism were the strongest predictors of depression and anxiety symptoms, and factors such as self-blame, growing up family environment stress, female gender, and alcohol consumption consistently predicted higher levels of depressive and anxiety symptoms. In addition, depressive symptoms among community residents in Shenzhen were associated with problem solving, life events, lie scale, and marital status. Negative emotions, withdrawal, individual exposure to abusive events, positive coping, negative coping, occupation, and frequency of alcohol consumption in the past 12 months, on the other hand, had an impact on anxiety symptoms.
conclusionsThe results of the study demonstrate the overall profile of depression and anxiety among community residents in Shenzhen and discuss the factors associated with their depression and anxiety symptoms. This may be instructive for providing accessible and targeted support and interventions for depression and anxiety symptoms among community residents in Shenzhen to improve their mental health and well-being in life, as well as for other cities undergoing similar rapid changes.
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