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To determine the prevalence of depression and anxiety among older adults in China, and explore the associated factors. This cross-sectional study recruited participants between October 2022 and December 2022. The sample collection utilized a multi-stage stratified equal probability random sampling method. This study included 8436 older adults who underwent interviews utilizing standardized assessment instruments. The assessment of depressive symptoms employed the Patient Health Questionnaire 9, while the evaluation of anxiety utilized the Generalized Anxiety Disorder 7. Multivariate logistic regression was conducted to determine the odds ratio and 95 % confidence interval (CI). The weighted prevalence rates for depression and anxiety were 2.79 % (95 % CI: 2.38 %–3.28 %) and 1.39 % (95 % CI: 1.12 %–1.74 %), respectively. Older adults who were female, widowed, had irregular dietary habits, spent <1 h per day using electronic devices for socializing and entertainment, engaged in >8 h of sedentary behavior per day, and had chronic diseases (cardiovascular disease, cerebrovascular disease, insomnia, and Chronic gastroenteritis) displayed a higher likelihood of encountering symptoms indicative of depression and anxiety. Conversely, older adults living in rural areas and those who walked daily were less prone to experience symptoms of depression and anxiety. This study suggests that the psychological well-being of older adults should be cared for when treating chronic diseases. Moreover, families, communities, and clinics should recognize that supporting regular diets, providing social engagement and recreational activities, encouraging physical activity, and minimizing sedentary behavior can reduce the risk of depression and anxiety. • This study assessed the prevalence and influencing factors of depression and anxiety among older adults. • Demographic characteristics, chronic diseases and lifestyle habits are risk factors of depression and anxiety. • Interventions for older adults' diet rhythm, step count, device use, sedentary time can reduce depression and anxiety risk. [ABSTRACT FROM AUTHOR]

Aims: To examine the prevalence and health correlates of depressive and anxiety symptoms among adults living in Guangdong province of China with a large population and rapid urbanization.Methods: The Guangdong Sleep and Psychosomatic Health Survey was conducted from September to November in 2019, which was a population-based study with a representative sample of adults aged 18-85 years. Multistage stratified cluster sampling was used. A total of 13,768 inhabitants were included and face-to-face interviewed using standardized assessment tools. Depressive and anxiety symptoms were evaluated using the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Scale (GAD-7), respectively.Results: The weighted prevalence rates of depressive and anxiety symptoms were 8.6% (95% confidence interval [CI]: 8.0%-9.3%) and 6.0% (95%CI, 5.4%-6.5%) respectively. People who have never married, irregular diet rhythm, hardly exercise, poorer sleep, alcohol consumption, chronic diseases and being unemployment and retirement were more likely to suffer depressive and anxiety symptoms. Moreover, the prevalence of depressive symptoms was significantly higher in those suffering from cardiovascular disease (Odds ratio[OR]:3.89, 95%CI: 1.77-8.54), chronic nephrosis (OR:3.89, 95%CI: 1.52-9.94), hyperlipidemia (OR:2.68, 95%CI: 1.57-4.59), anemia (OR:1.96, 95%CI: 1.33-2.89) and arthritis (OR:1.93, 95%CI: 1.17-3.16). The prevalence of anxiety symptoms was evidently greater within patients with cardiovascular disease (OR:3.15, 95%CI: 1.39-7.14), chronic nephrosis (OR: 2.89, 95%CI: 1.22-6.83), hyperlipidemia (OR:2.27, 95%CI: 1.20-4.29) and diabetes (OR:1.99, 95%CI: 1.15-3.44).Conclusions: Depressive and anxiety symptoms are commonly found in patients with chronic diseases. Given these adverse outcomes on health, health professionals should pay more attention to depressive and anxiety problems in health care for high-risk population. [ABSTRACT FROM AUTHOR]

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. • The weighted prevalence rates of MDD and SDS among adults in south China were 2.5% and 14.7%, respectively. • People with one or more chronic diseases were more likely to suffer from MDD and SDS. • Female, younger, unmarried, irregular meal, lack of exercise and short sleep were the common risk factors for MDD and SDS. [ABSTRACT FROM AUTHOR]

Background: Physical inactivity exacerbates poorer sleep quality, but potential underlying mechanisms of this association remain unknown. The present study aims to disentangle the pathways linking psychical activity to sleep quality through the serial mediation effect of anxiety and depression in a Chinese population.Methods: Data analyzed were from Guangdong Sleep and Psychosomatic Health Survey, a cross-sectional population-based study with a representative sample of adult inhabitants aged 18-85 years living in Guangdong province, China. A total of 13,768 participants were included with the response rate of 80.4%. Singe and serial mediation analyses were conducted to examine whether anxiety and depression mediated the relationship between physical activity and sleep quality, independently and jointly.Results: Both direct and indirect effects of physical activity on sleep quality were found. As predicted, anxiety and depression mediated the relationship between physical activity and sleep quality (B Anxiety = -0.17, 95% bootstrap CI: -0.20 to -0.15; B Depression= -0.25, 95% bootstrap CI: -0.28 to -0.21), respectively. In addition, serial mediation analyses indicated that the association of physical activity and sleep quality is mediated by anxiety and depression in a sequential manner (B = -0.13, 95% bootstrap CI: -0.15 to -0.11).Limitations: The primary limitation of the study is the cross-sectional design, which limits the causal inference ability.Conclusions: These findings highlight the role of anxiety and depression as serial mediators of the relationship between physical activity and sleep quality. Thus, exercise-based programs focusing on improving sleep could benefit from a multi-faceted approach therapeutically targeting psychiatric disorders. [ABSTRACT FROM AUTHOR]