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Xian X, Neuwirth RJ, Chang A. Government-Nongovernmental Organization (NGO) Collaboration in Macao's COVID-19 Vaccine Promotion: Social Media Case Study. JMIR INFODEMIOLOGY 2024; 4:e51113. [PMID: 38502184 PMCID: PMC10988378 DOI: 10.2196/51113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/19/2023] [Accepted: 11/29/2023] [Indexed: 03/20/2024]
Abstract
BACKGROUND The COVID-19 pandemic triggered unprecedented global vaccination efforts, with social media being a popular tool for vaccine promotion. OBJECTIVE This study probes into Macao's COVID-19 vaccine communication dynamics, with a focus on the multifaceted impacts of government agendas on social media. METHODS We scrutinized 22,986 vaccine-related Facebook posts from January 2020 to August 2022 in Macao. Using automated content analysis and advanced statistical methods, we unveiled intricate agenda dynamics between government and nongovernment entities. RESULTS "Vaccine importance" and "COVID-19 risk" were the most prominent topics co-occurring in the overall vaccine communication. The government tended to emphasize "COVID-19 risk" and "vaccine effectiveness," while regular users prioritized vaccine safety and distribution, indicating a discrepancy in these agendas. Nonetheless, the government has limited impact on regular users in the aspects of vaccine importance, accessibility, affordability, and trust in experts. The agendas of government and nongovernment users intertwined, illustrating complex interactions. CONCLUSIONS This study reveals the influence of government agendas on public discourse, impacting environmental awareness, public health education, and the social dynamics of inclusive communication during health crises. Inclusive strategies, accommodating public concerns, and involving diverse stakeholders are paramount for effective social media communication during health crises.
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Affiliation(s)
- Xuechang Xian
- Department of Publicity, Zhaoqing University, Zhaoqing, China
- Department of Communication, University of Macau, Macao SAR, China
| | - Rostam J Neuwirth
- Department of Global Legal Studies, University of Macau, Macao SAR, China
| | - Angela Chang
- Department of Communication, University of Macau, Macao SAR, China
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Lam MI, Cai H, Chen P, Lok KI, Chow IHI, Si TL, Su Z, Ng CH, An FR, Xiang YT. The Inter-Relationships Between Depressive Symptoms and Suicidality Among Macau Residents After the "Relatively Static Management" COVID-19 Strategy: A Perspective of Network Analysis. Neuropsychiatr Dis Treat 2024; 20:195-209. [PMID: 38333613 PMCID: PMC10850988 DOI: 10.2147/ndt.s451031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/19/2024] [Indexed: 02/10/2024] Open
Abstract
Background Suicidality is a global public health problem which has increased considerably during the coronavirus disease 2019 (COVID-19) pandemic. This study examined the inter-relationships between depressive symptoms and suicidality using network analysis among Macau residents after the "relatively static management" COVID-19 strategy. Methods An assessment of suicidal ideation (SI), suicide plan (SP), suicide attempt (SA) and depressive symptoms was conducted with the use of individual binary response items (yes/no) and Patient Health Questionnaire (PHQ-9). In the network analysis, central and bridge symptoms were identified in the network through "Expected Influence" and "Bridge Expected Influence", and specific symptoms that were directly associated with suicidality were identified via the flow function. Network Comparison Tests (NCT) were conducted to examine the gender differences in network characteristics. Results The study sample included a total of 1008 Macau residents. The prevalence of depressive symptoms and suicidality were 62.50% (95% CI = 59.4-65.5%) and 8.9% (95% CI = 7.2-10.9%), respectively. A network analysis of the sample identified SI ("Suicidal ideation") as the most central symptom, followed by SP ("Suicide plan") and PHQ4 ("Fatigue"). SI ("Suicidal ideation") and PHQ6 ("Guilt") were bridge nodes connecting depressive symptoms and suicidality. A flow network revealed that the strongest connection was between S ("Suicidality") and PHQ6 ("Guilt"), followed by S ("Suicidality") and PHQ 7 ("Concentration"), and S ("Suicidality") and PHQ3 ("Sleep"). Conclusion The findings indicated that reduction of specific depressive symptoms and suicidal thoughts may be relevant in decreasing suicidality among adults. Further, suicide assessment and prevention measures should address the central and bridge symptoms identified in this study.
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Affiliation(s)
- Mei Ieng Lam
- Education Department, Kiang Wu Nursing College of Macau, Macau SAR, People’s Republic of China
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People’s Republic of China
| | - Hong Cai
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People’s Republic of China
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, People’s Republic of China
| | - Pan Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People’s Republic of China
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, People’s Republic of China
| | - Ka-In Lok
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Macao, People’s Republic of China
| | - Ines Hang Iao Chow
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People’s Republic of China
| | - Tong Leong Si
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People’s Republic of China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, People’s Republic of China
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, Victoria, Australia
| | - Feng-Rong An
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People’s Republic of China
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, People’s Republic of China
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Wong K, Wang B, Hsieh K, Hon C, Zeng Z, Ngai L, Liu Z, Wang Y, Hon S, Lao H, Lu G. Text analysis of Macao's COVID-19 prevention and control policies: discussion on strategy evolution and public health capabilities. J Thorac Dis 2024; 16:632-644. [PMID: 38410563 PMCID: PMC10894427 DOI: 10.21037/jtd-23-1818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/11/2024] [Indexed: 02/28/2024]
Abstract
Background The global impact of the coronavirus disease 2019 (COVID-19) pandemic has been profound. Macao Special Administrative Region (SAR), renowned as an international hub for tourism and entertainment, has actively responded to the crisis. However, a comprehensive analysis detailing the evolution of Macao SAR's policies throughout this period is currently lacking. Methods This study aims to comprehensively understand the decision-making processes, policy formulation, and implementation strategies of the Macao SAR government amidst the pandemic through the analysis of speeches and inquiries made by legislative council members and other relevant documents. Employing both quantitative and qualitative analytical methods, including word frequency analysis and word vector models, we identify key themes and patterns. Additionally, we conducted a comparative analysis of keyword frequencies during the two waves of the pandemic using radar charts. Results The results indicate a heightened focus by the Macao SAR government on pandemic control measures and economic impacts. In response, the government formulated and implemented policies, provided support initiatives, and managed port clearance, all while focusing on enhancing healthcare infrastructure and community services. Conclusions The government persistently amends its policies in response to the evolving challenges posed by the pandemic. The evolution of the dynamic Zero-COVID strategy highlights the government's adaptability and comprehensive consideration, ensuring public health and societal stability.
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Affiliation(s)
- Kitcheng Wong
- Constitutional Law and Administrative Law, School of Law, Wuhan University, Wuhan, China
| | - Boyuan Wang
- School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China
| | - Kaichin Hsieh
- UCL Faculty of Engineering Sciences, University College of London, London, UK
| | - Chitin Hon
- Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China
- Guangzhou Laboratory, Guangzhou, China
- Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
| | - Zhiqi Zeng
- Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China
| | | | - Zizheng Liu
- Faculty of Law, Macau University of Science and Technology, Macau, China
| | | | - Sengtong Hon
- School of History and Culture, South China Normal University, Guangzhou, China
| | | | - Guibin Lu
- Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China
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Chen P, Zhang L, Feng Y, An FR, Su Z, Cheung T, Lok KI, Ungvari GS, Jackson T, Xiang YT, Zhang Q. Prevalence and network structure of post-traumatic stress symptoms and their association with suicidality among Chinese mental health professionals immediately following the end of China's Dynamic Zero-COVID Policy: a national survey. Transl Psychiatry 2023; 13:395. [PMID: 38102131 PMCID: PMC10724192 DOI: 10.1038/s41398-023-02680-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 11/14/2023] [Accepted: 11/27/2023] [Indexed: 12/17/2023] Open
Abstract
Studies on post-traumatic stress symptoms (PTSS) among mental health professionals (MHPs) are limited, particularly since restrictions due to coronavirus disease (COVID-19) have been lifted such as the recent termination of China's Dynamic Zero-COVID Policy. The current study filled this gap by exploring the prevalence, correlates, and network structure of PTSS as well as its association with suicidality from a network analysis perspective. A cross-sectional, national survey was conducted using a convenience sampling method on MHPs between January 22 and February 10, 2023. PTSS were assessed using the Post-Traumatic Stress Disorder Checklist-Civilian version, while suicidality was assessed using standardized questions related to ideation, plans, and attempts. Univariate and multivariate analyses examined correlates of PTSS. Network analysis explored the structure of PTSS and suicidality. The centrality index of "Expected influence" was used to identify the most central symptoms in the network, reflecting the relative importance of each node in the network. The "flow" function was adopted to identify specific symptoms that were directly associated with suicidality. A total of 10,647 MHPs were included. The overall rates of PTSS and suicidality were 6.7% (n = 715; 95% CI = 6.2-7.2%) and 7.7% (n = 821; 95% CI = 7.2-8.2%), respectively. Being married (OR = 1.523; P < 0.001), quarantine experience (OR = 1.288; P < 0.001), suicidality (OR = 3.750; P < 0.001) and more severe depressive symptoms (OR = 1.229; P < 0.001) were correlates of more PTSS. Additionally, higher economic status (e.g., good vs. poor: OR = 0.324; P = 0.001) and health status (e.g., good vs. poor: OR = 0.456; P < 0.001) were correlates of reduced PTSS. PCL6 ("Avoiding thoughts"; EI = 1.189), PCL7 ("Avoiding reminders"; EI = 1.157), and PCL11 ("Feeling emotionally numb"; EI = 1.074) had the highest centrality, while PCL12 ("Negative belief"), PCL 16 ("Hypervigilance") and PCL 14 ("Irritability") had the strongest direct, positive associations with suicidality. A high prevalence of lingering PTSS was found among MHPs immediately after China's "Dynamic Zero-COVID Policy" was terminated. Avoidance and hyper-arousal symptoms should be monitored among at-risk MHPs after the COVID-19 pandemic and serve as potential targets for the prevention and treatment of PTSS in this population.
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Affiliation(s)
- Pan Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
| | - Ling Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Feng-Rong An
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Ka-In Lok
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Macao SAR, China
| | - Gabor S Ungvari
- University of Notre Dame Australia, Fremantle, WA, Australia
- Division of Psychiatry, School of Medicine, University of Western Australia/Graylands Hospital, Perth, WA, Australia
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao SAR, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
| | - Qinge Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Sun HL, Chen P, Feng Y, Si TL, Lam MI, Lok KI, Chow IHI, Su Z, Cheung T, Tang YL, Jackson T, Sha S, Xiang YT. Depression and anxiety among Macau residents during the COVID-19 outbreak: A network analysis perspective. Front Psychiatry 2023; 14:1159542. [PMID: 37181879 PMCID: PMC10169684 DOI: 10.3389/fpsyt.2023.1159542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/29/2023] [Indexed: 05/16/2023] Open
Abstract
Background The 2019 novel coronavirus disease (COVID-19) outbreak affected people's lifestyles and increased their risk for depressive and anxiety symptoms (depression and anxiety, respectively hereafter). We assessed depression and anxiety in residents of Macau during "the 6.18 COVID-19 outbreak" period and explored inter-connections of different symptoms from the perspective of network analysis. Methods In this cross-sectional study, 1,008 Macau residents completed an online survey comprising the nine-item Patient Health Questionnaire (PHQ-9) and seven-item Generalized Anxiety Disorder Scale (GAD-7) to measure depression and anxiety, respectively. Central and bridge symptoms of the depression-anxiety network model were evaluated based on Expected Influence (EI) statistics, while a bootstrap procedure was used to test the stability and accuracy of the network model. Results Descriptive analyses indicated the prevalence of depression was 62.5% [95% confidence interval (CI) = 59.47-65.44%], the prevalence of anxiety was 50.2% [95%CI = 47.12-53.28%], and 45.1% [95%CI = 42.09-48.22%] of participants experienced comorbid depression and anxiety. "Nervousness-Uncontrollable worry" (GADC) (EI = 1.15), "Irritability" (GAD6) (EI = 1.03), and "Excessive worry" (GAD3) (EI = 1.02) were the most central symptoms, while "Irritability" (GAD6) (bridge EI = 0.43), "restlessness" (GAD5) (bridge EI = 0.35), and "Sad Mood" (PHQ2) (bridge EI = 0.30) were key bridge symptoms that emerged in the network model. Conclusion Nearly half of residents in Macau experienced comorbid depression and anxiety during the 6.18 COVID-19 outbreak. Central and bridge symptoms identified in this network analysis are plausible, specific targets for treatment and prevention of comorbid depression and anxiety related to this outbreak.
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Affiliation(s)
- He-Li Sun
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR,, China
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Pen Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR,, China
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Tong Leong Si
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR,, China
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Mei Ieng Lam
- Kiang Wu Nursing College of Macau, Macau, Macau SAR, China
| | - Ka-In Lok
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Macau, Macau SAR, China
| | - Ines Hang Iao Chow
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR,, China
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Yi-Lang Tang
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
- Atlanta VA Medical Center, Atlanta, GA, United States
| | - Todd Jackson
- Department of Psychology, University of Macau, Macau, Macau SAR, China
| | - Sha Sha
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR,, China
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
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Chen P, Zhang L, Sha S, Lam MI, Lok KI, Chow IHI, Si TL, Su Z, Cheung T, Feng Y, Jackson T, Xiang YT. Prevalence of insomnia and its association with quality of life among Macau residents shortly after the summer 2022 COVID-19 outbreak: A network analysis perspective. Front Psychiatry 2023; 14:1113122. [PMID: 36873201 PMCID: PMC9978518 DOI: 10.3389/fpsyt.2023.1113122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/26/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND The latest wave of the coronavirus disease 2019 (COVID-19) pandemic in Macau began on 18 June 2022 and was more serious than previous waves. Ensuing disruption from the wave is likely to have had a variety of negative mental health consequences for Macau residents including increased risk for insomnia. This study investigated the prevalence and correlates of insomnia among Macau residents during this wave as well as its association with quality of life (QoL) from a network analysis perspective. METHODS A cross-sectional study was conducted between 26 July and 9 September 2022. Univariate and multivariate analyses explored correlates of insomnia. Analysis of covariance (ANCOVA) examined the relationship between insomnia and QoL. Network analysis assessed the structure of insomnia including "Expected influence" to identify central symptoms in the network, and the flow function to identify specific symptoms that were directly associated with QoL. Network stability was examined using a case-dropping bootstrap procedure. RESULTS A total of 1,008 Macau residents were included in this study. The overall prevalence of insomnia was 49.0% (n = 494; 95% CI = 45.9-52.1%). A binary logistic regression analysis indicated people with insomnia were more likely to report depression (OR = 1.237; P < 0.001) and anxiety symptoms (OR = 1.119; P < 0.001), as well as being quarantined during the COVID-19 pandemic (OR = 1.172; P = 0.034). An ANCOVA found people with insomnia had lower QoL (F(1,1,008) = 17.45, P < 0.001). "Sleep maintenance" (ISI2), "Distress caused by the sleep difficulties" (ISI7) and "Interference with daytime functioning" (ISI5) were the most central symptoms in the insomnia network model, while "Sleep dissatisfaction" (ISI4), "Interference with daytime functioning" (ISI5), and "Distress caused by the sleep difficulties" (ISI7) had the strongest negative associations with QoL. CONCLUSION The high prevalence of insomnia among Macau residents during the COVID-19 pandemic warrants attention. Being quarantined during the pandemic and having psychiatric problems were correlates of insomnia. Future research should target central symptoms and symptoms linked to QoL observed in our network models to improve insomnia and QoL.
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Affiliation(s)
- Pan Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China.,Centre for Cognitive and Brain Sciences, University of Macau, Macao, Macao SAR, China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University & Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University & Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Mei Ieng Lam
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China.,Kiang Wu Nursing College of Macau, Macao, Macao SAR, China
| | - Ka-In Lok
- Kiang Wu Nursing College of Macau, Macao, Macao SAR, China
| | - Ines Hang Iao Chow
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China
| | - Tong Leong Si
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University & Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao, Macao SAR, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China.,Centre for Cognitive and Brain Sciences, University of Macau, Macao, Macao SAR, China
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