Search

Purpose: The study aims to understanding the mental health literacy level of urban and rural residents in Guangdong Province, the first major province in China, and its influencing factors is crucial. Methods: A multi-stage stratified equal-volume random sampling method was adopted in October-December 2022 to select permanent residents aged 18 years and above in Guangdong Province for the questionnaire survey, which consisted of a general demographic information questionnaire and a national mental health literacy questionnaire. Rao-Scott χ²-test with correction based on sampling design, independent samples t-test and binary multivariate logistic regression analysis were performed. Results: A total of 51744 individuals completed the questionnaire, including 31822 urban residents and 19200 rural residents. The rate of achievement of mental health literacy was 13.6% among urban residents, which was significantly higher compared to the rate of 8.6% among rural residents. Logistic regression analysis showed that female, higher education, being mental worker, being a retiree, having a higher monthly household income, maintaining a regular diet, and using electronic products for 2– 6 hours per day were protective factors for mental health literacy attainment in urban residents, while having chronic diseases, being a smoker and having a history of drinking were identified as risk factors in urban residents. Among in rural residents, married, younger, higher education, being mental worker and using electronic products for 2– 6 hours per day, maintaining a regular diet, and engaging in regular exercise were protective factors for achieving mental health literacy, while previous smoking was a risk factor. Conclusion: The study revealed a low level of mental health literacy among urban and rural residents of Guangdong Province, with a significant disparity between the two areas. These findings highlight the need for continuing efforts to increase the dissemination of mental health knowledge in rural communities and improve levels of mental health literacy. [ABSTRACT FROM AUTHOR]

Objective: This survey investigated the prevalence, distribution, and correlative factors of insomnia symptoms among people aged 65 and above in Guangdong Province, China., Methods: The Guangdong Mental Health Survey was conducted on the elderly in all 21 cities of Guangdong Province from September to December 2021. Multistage stratified cluster sampling was adopted, and 16 377 adult residents were interviewed face-to-face, from which 4001 elderly participants aged 65 and above were included for this study. Complex weighted adjustment methods were applied to weight the data. Multinomial logistic regression was applied to test the independent associations of clinical insomnia symptoms (CIS) and subthreshold insomnia symptoms (SIS) with the factors., Results: The pooled estimate of insomnia symptoms was 13.44% [95% confidence interval (CI): 12.2 %-14.7%]. The 1-month weighted prevalence of SIS and CIS were 11.15% (95% CI: 10.05%-12.37%) and 2.28% (95%CI: 1.77%-2.94%), respectively. Multinomial logistic regression analysis revealed that urban residence, irregular diet, low body mass index, chronic disease, napping 3-4/week, early changes in dementia, symptoms of subthreshold depression, subthreshold generalized anxiety, and generalized anxiety disorder were positively associated with SIS. Additionally, living in urban areas, having chronic diseases, symptoms of subthreshold depression, major depressive disorder, subthreshold generalized anxiety, generalized anxiety disorder were positively associated with CIS., Conclusion: Insomnia symptoms, including CIS and SIS, were prevalent among the elderly in Guangdong Province. Given the high burden of CIS and SIS, policymakers and healthcare professionals must explore and treat the related factors accordingly., (2024 authors.)

Objective: To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia., Methods: A sample of 1,664 patients with post-violence assessments and their propensity score-matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases., Results: Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance ( p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence ( p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients., Conclusion: The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Chen, Tan, Xi, Xie, Lin, Wang, Wu, Liu, Gu, Jia, Du and Hao.)

Background: Lifestyle habits are vital components of the culture of mental health treatment settings. We examined the bridge connection between depressive and anxiety symptoms and lifestyles from a network perspective using a population-based study., Methods: Face-to-face interviews were conducted with a provincially representative sample of 13,768 inhabitants from the Guangdong Sleep and Psychosomatic Health Survey based on standardized evaluation techniques. We identified the central symptoms by expected influence. The interconnection between depression and anxiety symptoms, as well as the bridge connectivity linking depression-anxiety symptoms and lifestyle factors, were assessed using the bridge centrality index. Network stability and sensibility analyses were performed using a case-dropping bootstrap procedure., Results: The core symptom that exhibited the highest expected influence was fatigue or little energy , followed by uncontrollable worry, trouble relaxing , and sad mood in the depression-anxiety symptoms network, while guilt was the most interconnected symptom and had the highest bridge strength. Surrounding nodes of each node explained an average variance of 57.63%. Additionally, suicidal thoughts were recognized as collective bridging symptoms connecting lifestyle variables in the network integrating depression-anxiety symptoms with lifestyle factors. Current tobacco and alcohol consumption were positively associated with suicidal thoughts and irritability . Habitual diet rhythm and physical exercise frequency were linked to suicidal thoughts, guilt , and poor appetite or overeating . Suicidal thoughts, irritability , and guilt indicated the greatest connectivity with lifestyle factors. All networks had high stability and accuracy., Conclusion: These highlighted core and bridge symptoms could serve as latent targets for the prevention and intervention of comorbid depression and anxiety. It might be crucial for clinical practitioners to design effective and targeted treatment and prevention strategies aiming at specific lifestyles and behaviors., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Wang, Xu, Gao, Tan, Zheng, Hou and Jia.)

Objective: Based on the 2002 WHO health survey data, to explore the latent relationship among self-reported health level, the actual level of health, the social demographic characteristics and the risk factors, and to analyze the influence of the various surveillance indicators on self-reported health and the degree that the self-reported health explained the actual level of health., Methods: Field tests for various components of the World health survey were conducted in nine countries during 2002, including India, Brazil, Burkina, Hungary, Nepal, Russia, Spain, Tunisia, and Vietnam (29 971). The survey questionnaire included a self-assessment component and anchoring vignette component. The self-assessment component data was adjusted and eliminated the affect of "cut-point bias" by using the anchoring vignette component data, and then was used to build the structural equation model on the relationship among self-reported health level, actual health level, social demographic characteristics and the risk factors., Results: In the final structural equation model, "the actual level of health" = 0.80 × "the self-reported health level" + (-0.04) × "the social demographic characteristics" + (-0.08) × "the risk factors" (R(2) = 0.66), and "the self-reported health level" = (-0.70) × "the social demographic characteristics" + 0.10 × "the risk factors" (R(2) = 0.55). The standardized total effect of self-reported health to the actual level of health was 0.80, and that of the social demographic characteristics to the self-reported health and the actual level of health were -0.70 and -0.60, respectively. And the 16 items of self-reported health consisted of 8 dimensions; and sorted by the power of impact to the actual health level, they were mobility, pain and discomfort, sleep, cognition, feelings, self-care ability, visual capacity and interpersonal activities., Conclusion: There were significant linear correlation relationship between the actual level of health and the self-reported health, as well as between the self-reported health and the social demographic characteristics. And the self-reported 16 items used by the 2002 WHO health survey played an important role in the health evaluation of population.