1
|
Lyu J, Zhang J, Wang L. Declining suicide rates in China (1990-2017): Gender and age specific analyses. J Affect Disord 2024; 352:19-25. [PMID: 38336166 DOI: 10.1016/j.jad.2024.02.003] [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: 03/15/2022] [Revised: 01/25/2024] [Accepted: 02/05/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND In China suicide rates have been declining for about three decades. Patterns of suicide for women and men across the lifespan over time however have not been systematically documented. METHODS Official suicide mortality data (from 1990 to 2017) available via China CDC were used to examine suicide patterns by gender and age in each of the 33 provincial-level regions. Suicide data were aggregated by five years, except for the year of 2017. The bar graphs were used to descriptive the change tread of the suicide rate. RESULTS In the past three decades, the decline in female suicide rates was greater than that in the male rates, with the overall male to female (M/F) ratio changing from 0.88 in 1996 to 1.56 in 2017. The overall suicide rate of male was 8.82 and female was 5.65 per 100,000 persons in 2017. However the decline of suicide rates for people aged 70 and older was the greatest declination (33.73/per 100,000 persons) among all the age groups in China. CONCLUSION Overall suicide rates have declined over the three decades in China, particularly among females and individuals age 70+ years. Suicide rates continue to be higher among individuals aged 50 and older (particularly among men), and this population should continue to the focus for prevention.
Collapse
Affiliation(s)
- Juncheng Lyu
- Shandong Second Medical University, Shandong, China
| | - Jie Zhang
- Central University of Finance and Economics Department of Sociology, Beijing, China; State University of New York Buffalo State University Department of Sociology, New York, USA.
| | - Lijun Wang
- China Centers for Disease Control and Prevention (CDC), Beijing, China
| |
Collapse
|
2
|
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: 2] [Impact Index Per Article: 2.0] [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.
Collapse
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
| |
Collapse
|
3
|
Cai H, Chow IHI, Lei SM, Lok GKI, Su Z, Cheung T, Peshkovskaya A, Tang YL, Jackson T, Ungvari GS, Zhang L, Xiang YT. Inter-relationships of depressive and anxiety symptoms with suicidality among adolescents: A network perspective. J Affect Disord 2023; 324:480-488. [PMID: 36584712 DOI: 10.1016/j.jad.2022.12.093] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/18/2022] [Accepted: 12/22/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND Persons with suicidality including suicidal ideation (SI), suicide plans (SP) and/or suicide attempts (SA) are at higher risk for future suicide than those without suicidality. To reduce the risk of future suicide, it is important to understand symptoms of emotional distress that have the strongest links with SI, SP and SA. This network analysis examined item-level relations of depressive and anxiety symptoms with suicidality among adolescents during the COVID-19 pandemic. METHODS Adolescents between 12 and 20 years of age were assessed with the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and individual binary reponse (no/yes) items assessing SI, SP, and SA during the pandemic. The structure of depressive symptoms, anxiety symptoms and suicidality was characterized using "Expected Influence" and "Bridge Expected Influence" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Node-specific predictive betweenness was computed to examine short paths of anhedonia, other depressive symptoms and anxiety symptoms with suicidality. A Network Comparison Test (NCT) was conducted to examine whether network characteristics differed based on gender. RESULTS Prevalence rates of depressive symptoms, anxiety symptoms, and suicidality were 44.60 % (95% confidence interval (CI) = 41.53-47.67 %), 31.12 % (95%CI = 28.26-33.98 %), and 16.95 % (95%CI = 14.63-19.26 %), respectively, in the study sample. The network analysis identified GAD3 ("Worry too much") as the most central symptom, followed by GAD6 ("Irritability") and PHQ6 ("Guilt") in the sample. Additionally, PHQ6 ("Guilt"), GAD6 ("Irritability"), and PHQ2 ("Sad mood") were bridge nodes linking depressive and anxiety symptoms with suicidality. A flow network indicated that the connection between S ("Suicidality") and PHQ6 ("Guilt") reflected the strongest connection, followed by connections of S ("Suicidality") with GAD2 ("Uncontrollable worrying"), and S ("Suicidality") with PHQ2 ("Sad mood"). Finally, PHQ2 ("Sad mood") was the main bridge node linking anhedonia with other depressive and anxiety symptoms and suicidality in the sample. CONCLUSIONS Findings highlight the potential importance of reducing specific depressive and anxiety symptoms as possible means of reducing suicidality among adolescents during the pandemic. Central symptoms and key bridge symptoms identified in this study should be targeted in suicide prevention for at-risk adolescents.
Collapse
Affiliation(s)
- Hong Cai
- 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
| | - Ines H I Chow
- 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
| | - Si-Man Lei
- Faculty of Education, University of Macau, Macao SAR, China
| | | | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Anastasia Peshkovskaya
- Neuroscience Center, Tomsk State University, Tomsk, Russia; Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Yi-Lang Tang
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA; Atlanta Veterans Affairs Medical Center, Decatur, GA, USA
| | - Todd Jackson
- Department of Psychology, Faculty of Social Sciences, University of Macau, Macao, SAR, China
| | - Gabor S Ungvari
- University of Notre Dame Australia, Fremantle, Australia; Division of Psychiatry, School of Medicine, University of Western Australia / Graylands Hospital, Perth, Australia
| | - 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.
| | - 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.
| |
Collapse
|
4
|
Xie XM, Cai H, Li SY, Li ZL, Zhang WY, Zhao YJ, Zhang Y, Ungvari GS, Tang YL, He F, Xiang YT. Cyberbully victimization and its association with residual depressive symptoms among clinically stable adolescents with psychiatric disorders during the COVID-19 pandemic: A perspective from network analysis. Front Psychol 2023; 13:1080192. [PMID: 36817378 PMCID: PMC9929464 DOI: 10.3389/fpsyg.2022.1080192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 12/19/2022] [Indexed: 02/04/2023] Open
Abstract
Objective This study examined the prevalence of cyberbullying and its relationship with residual depressive symptoms in this patient population during the COVID-19 outbreak using network analysis. Methods This was a multicenter, cross-sectional study. Adolescent patients attending maintenance treatment at outpatient departments of three major psychiatric hospitals were included. Experience of cyberbullying was measured with a standard question, while the severity of Internet addiction and depressive symptoms were measured using the Internet Addiction Test and the Patient Health Questionnaire-9, respectively. The network structure of depression and cyberbully were characterized and indices of "Expected Influence" was used to identify symptoms central to the network. To identify particular symptoms that were directly associated with cyberbully, the flow function was used. Results Altogether 1,265 patients completed the assessments. The overall prevalence of cyberbullying was 92.3% (95% confidence interval (CI): 90.8-93.7%). Multiple logistic regression analysis revealed that male gender (p = 0.04, OR = 1.72, 95%CI: 1.04-2.85) was significantly associated with higher risk of cyberbullying, while a relapse of illness during the COVID-19 pandemic was significantly associated with a lower risk of cyberbullying (p = 0.03, OR = 0.50, 95%CI: 0.27-0.93). In the network of depression and cyberbully, "Sad mood," "Anhedonia" and "Energy" were the most central (influential) symptoms. Furthermore, "Suicidal ideation" had the strongest negative association with cyberbully followed by "Guilt". Conclusion During the COVID-19 pandemic, the experience of cyberbullying was highly prevalent among clinically stable adolescent psychiatric patients, particularly male patients. This finding should raise awareness of this issue emphasizing the need for regular screening and interventions for adolescent patients. Central symptoms (e.g., "Sad mood," "Anhedonia" and "Energy") identified in this study should be targeted in interventions and preventive measures.
Collapse
Affiliation(s)
- Xiao-Meng Xie
- 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, School of Mental Health, Capital Medical University, Beijing, China
| | - Hong Cai
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, China,Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macao SAR, China
| | - Shu-Ying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zong-Lei Li
- Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China
| | - Wu-Yang Zhang
- Department of Pediatric Development and Behavior, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan-Jie Zhao
- 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, School of Mental Health, Capital Medical University, Beijing, China
| | - Yao Zhang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Gabor S. Ungvari
- Section of Psychiatry, University of Notre Dame Australia, Fremantle, WA, Australia,Division of Psychiatry, School of Medicine, University of Western Australia / Graylands Hospital, Perth, WA, Australia
| | - Yi-Lang Tang
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States,Mental Health Service Line, Atlanta VA Medical Center, Decatur, GA, United States
| | - Fan He
- 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, School of Mental Health, Capital Medical University, Beijing, China,*Correspondence: Fan He, ✉
| | - 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, Macao SAR, China,Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macao SAR, China,Yu-Tao Xiang, ✉
| |
Collapse
|
5
|
Deng X, Zhang H. Mental health status among non-medical college students returning to school during the COVID-19 pandemic in Zhanjiang city: A cross-sectional study. Front Psychol 2023; 13:1035458. [PMID: 36710795 PMCID: PMC9874120 DOI: 10.3389/fpsyg.2022.1035458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023] Open
Abstract
The coronavirus disease-2019 (COVID-19) pandemic has brought huge and continuous damage to mental health. The mental health of non-medical college students after returning to school remains largely unknown and the influencing factors were awaited to be deciphered. This cross-sectional study was launched among 1,083 non-medical students in Zhanjiang city by means of online survey (WeChat App) from August 1st, 2022 to August 7th, 2022. Knowledge about COVID-19 and attitude toward COVID-19 were assessed by using 7-items and 5-items questionnaires, respectively. Sleep quality, anxiety and depression symptoms were evaluated by Pittsburgh sleep quality index (PSQI), Hamilton depression rating scale-17 (HDRS-17) and self-rating anxiety scale (SAS), respectively. The results showed that more than half of the participants were knowledgeable about COVID-19. The majority of the participants held positive attitude toward COVID-19. The data demonstrated that 6.8% students had poor sleep quality, and 1.86, 0.37 and 0.37% students had mild, moderate and severe anxiety, respectively. About 26.7, 4.7 and 1.7% students had minimal, mild-moderate and severe depression. Female students showed higher proportions of anxiety (p = 0.02) and depression (p < 0.0001) than male students. Students with monthly household income below 3,000 RMB were more vulnerable to anxiety (p = 0.017) and depression (p = 0.004). Correlation analysis and Multivariate logistic regression analysis results showed that lower grade was positively related with anxiety and depression. Female students, income lower than 3,000 RMB/month, poor knowledge about COVID-19 and negative attitude toward COVID-19 were associated with insomnia, anxiety and depression. This study indicated that during the COVID-19 pandemic, a majority of non-medical students returning to school remained good sleep quality and a small number of students suffered from depression and anxiety. To our knowledge, this is a novel study revealing the mental health of non-medical college students concerning COVID-19 in Zhanjiang.
Collapse
Affiliation(s)
- Xiaojun Deng
- Department of Preschool Education, Zhanjiang Preschool Education College, Zhanjiang, China
| | - Huiting Zhang
- Department of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| |
Collapse
|
6
|
Comportamento suicida durante a pandemia da COVID-19: aspectos clínicos e fatores associados. ACTA PAUL ENFERM 2022. [DOI: 10.37689/acta-ape/2022ao02717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
|
7
|
Suicidality in clinically stable bipolar disorder and schizophrenia patients during the COVID-19 pandemic. Transl Psychiatry 2022; 12:303. [PMID: 35906234 PMCID: PMC9335454 DOI: 10.1038/s41398-022-02045-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 06/26/2022] [Accepted: 06/29/2022] [Indexed: 11/14/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has a disproportionate impact on vulnerable subpopulations, including those with severe mental illness (SMI). This study examined the one-year prevalence of suicidal ideation (SI), suicide plans (SP), and suicide attempts (SA) in bipolar disorder (BD) and schizophrenia (SCZ) patients during the pandemic. Prevalence rates were compared between the two disorders and associated factors were examined. A survey was conducted in six tertiary psychiatric hospitals and psychiatric units. People with a diagnosis of BD or SCZ were invited to participate. SI, SP, and SA (suicidality for short) were assessed and associated factors were examined using binary logistical regression. The 1-year prevalence of SI, SP and SA in BD patients were 58.3%, (95% CI: 54.1-62.6%), 38.4% (95% CI: 34.3-42.6%) and 38.6% (95% CI: 34.5-42.8%), respectively, which were higher than the corresponding figures in SCZ patients (SI: 33.2%, 95% CI: 28.6-37.8%; SP: 16.8%, 95% CI: 13.2-20.5%; SA: 19.4%, 95% CI: 15.5-23.3%). Patients with younger age, experience of cyberbullying, a history of SA among family or friends, a higher fatigue and physical pain score, inpatient status, and severe depressive symptoms were more likely to have suicidality. The COVID-19 pandemic was associated with increased risk of suicidality, particularly in BD patients. It is of importance to regularly screen suicidality in BD and SCZ patients during the pandemic even if they are clinically stable.
Collapse
|
8
|
Zheng W, Sun HL, Cai H, Zhang Q, Ng CH, Xiang YT. Antidepressants for COVID-19: A systematic review. J Affect Disord 2022; 307:108-114. [PMID: 35339571 PMCID: PMC8941844 DOI: 10.1016/j.jad.2022.03.059] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 03/18/2022] [Accepted: 03/21/2022] [Indexed: 01/07/2023]
Abstract
OBJECTIVE To systematically examine the efficacy and safety of antidepressants for the treatment of coronavirus disease 2019 (COVID-19). METHODS A systematic search was performed independently by two researchers based on Chinese Journal Net, WanFang, PsycINFO, Cochrane Library, PubMed, and EMBASE. RESULTS Seven studies (n = 92,947) including three retrospective studies (n = 91,083), two randomized clinical trials (RCTs, n = 1649), two prospective cohort study (n = 215) involving (n = 92,947) patients with COVID-19 were examined. For RCTs, fluvoxamine outperformed placebo in reducing clinical deterioration and hospitalisation for COVID-19 patients. For retrospective studies, antidepressants (2 studies) and fluoxetine (1 study) possibly reduced the risk of mortality in patients with COVID-19. Results from two remaining studies supported the superiority of fluvoxamine in reducing risk of mortality in COVID-19 patients. The two RCTs that examined the safety of fluvoxamine for COVID-19 patients found inconsistent results but no significant group differences in the dropout rate. CONCLUSION This systematic review found emerging evidence for fluvoxamine in reducing the risk of mortality and hospitalisation in COVID-19 patients, but inconsistent evidence for the safety of fluvoxamine in COVID-19 patients. More studies are needed to determine the efficacy and safety of antidepressants for the treatment of COVID-19.
Collapse
Affiliation(s)
- Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - He-Li Sun
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macau SAR, China; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macau SAR, China
| | - Hong Cai
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macau SAR, China; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macau 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
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macau SAR, China; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macau SAR, China.
| |
Collapse
|
9
|
Liu Z, Yang R, Liu H. Concern on cyber violence and suicide during COVID-19 pandemic. Front Psychiatry 2022; 13:956328. [PMID: 36159912 PMCID: PMC9489897 DOI: 10.3389/fpsyt.2022.956328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/28/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Zhiwei Liu
- Department of Psychiatry, The Third People's Hospital of Fuyang, Fuyang, China
| | - Rongchun Yang
- Department of Psychiatry, The Third People's Hospital of Fuyang, Fuyang, China
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
| |
Collapse
|
10
|
Zhao N, Li W, Zhang SF, Yang BX, Sha S, Cheung T, Jackson T, Zang YF, Xiang YT. Network Analysis of Depressive Symptoms Among Residents of Wuhan in the Later Stage of the COVID-19 Pandemic. Front Psychiatry 2021; 12:735973. [PMID: 34658968 PMCID: PMC8514718 DOI: 10.3389/fpsyt.2021.735973] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 08/24/2021] [Indexed: 12/30/2022] Open
Abstract
Background: Depression has been a common mental health problem during the COVID-19 epidemic. From a network perspective, depression can be conceptualized as the result of mutual interactions among individual symptoms, an approach that may elucidate the structure and mechanisms underlying this disorder. This study aimed to examine the structure of depression among residents in Wuhan, the epicenter of the COVID-19 outbreak in China, in the later stage of the COVID-19 pandemic. Methods: A total of 2,515 participants were recruited from the community via snowball sampling. The Patient Health Questionnaire was used to assess self-reported depressive symptoms with the QuestionnaireStar program. The network structure and relevant centrality indices of depression were examined in this sample. Results: Network analysis revealed Fatigue, Sad mood, Guilt and Motor disturbances as the most central symptoms, while Suicide and Sleep problems had the lowest centrality. No significant differences were found between women and men regarding network structure (maximum difference = 0.11, p = 0.44) and global strength (global strength difference = 0.04; female vs. male: 3.78 vs. 3.83, p = 0.51), a finding that suggests there are no gender differences in the structure or centrality of depressive symptoms. Limitations: Due to the cross-sectional study design, causal relationships between these depressive symptoms or dynamic changes in networks over time could not be established. Conclusions: Fatigue, Sad mood, Guilt, and Motor disturbances should be prioritized as targets in interventions and prevention efforts to reduce depression among residents in Wuhan, in the later stage of the COVID-19 pandemic.
Collapse
Affiliation(s)
- Na Zhao
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, SAR China
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China
| | - Wen Li
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Shu-Fang Zhang
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
| | | | - Sha Sha
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong, Hong Kong, SAR China
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao, SAR China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, 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, SAR China
- Centre for Cognitive and Brain Sciences, University of Macau, Macao, SAR China
- Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao, SAR China
| |
Collapse
|