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Zhong S, Ma C, Huang Y, Zhang T, Hou X, Tai TC, Yan J, Yu Y, Xu X, Wang Z, Xu Y, Li T, Xu G, Xu X, Wang L, Yan Y, Xiao S, Li L, Liu Z, Zhou L. Patterns, delays, and associated factors of help-seeking behaviour for lifetime mood disorders and anxiety disorders: A national representative survey. J Affect Disord 2025; 372:386-393. [PMID: 39638063 DOI: 10.1016/j.jad.2024.12.010] [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: 03/17/2024] [Revised: 08/29/2024] [Accepted: 12/02/2024] [Indexed: 12/07/2024]
Abstract
BACKGROUND Utilisation of health services is low and delayed among individuals with mood mental disorders and anxiety disorders, despite high disease burdens and available effective treatments. This study aims to examine patterns and delays in help-seeking and associated factors among individuals with lifetime disorder of mood disorders and/or anxiety disorders. METHODS We used data from the China Mental Health Survey (CMHS), a nationally representative multistage clustered-area probability sample study across 31 provinces. We assessed lifetime mental disorders and help-seeking behaviour using the Composite International Diagnostic Interview (CIDI). Logistic regression analyses were used to examine sociodemographic and clinical correlates of delay to seek health care. RESULTS Among 32,552 participants, we identified 3075 patients with lifetime mood and/or anxiety disorders; 486 (15.5 % [95 % CI: 13.6-17.5 %]) have sought health care. Of these, 163 (4.8 % [95 % CI: 3.7-6.3]) ever sought specialized mental health services. The delays to initial health care were 1.0 (IQR: 0-7.1), 1.9 (0-10.0), and 10.0 (1.0-22.1) years for depressive, bipolar, and anxiety disorders. Patients with comorbidities, later age of onset, and living in urban areas showed a higher propensity for help-seeking (all p < 0.05). Older cohort was associated with longer delays in seeking health care, while a later age of onset was associated with shorter delays (all p < 0.05). LIMITATIONS The cross-sectional retrospective design and self-assessment approach may add bias. CONCLUSIONS Failure and delays in help-seeking are common in China. National strategies are needed to promote health care utilisation.
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Affiliation(s)
- Shaoling Zhong
- The Affiliated Brain Hospital, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou 510370, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, Peking University, National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, Peking University, National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, Peking University, National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Xiaofei Hou
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Tak Ching Tai
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, Peking University, National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing 100871, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, Ningxia, China
| | - Yifeng Xu
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Tao Li
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Guangming Xu
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi 830002, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yongping Yan
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi'an 710032, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha 410078, Hunan, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha 410011, Hunan, China
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, Peking University, National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China.
| | - Liang Zhou
- The Affiliated Brain Hospital, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou 510370, China.
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Jing K, Feng Z, Xu J, He Y, Tang Q, Zhang Q, Wang N, Xiao Y, Gao B, Xue B, Wu L, Zhao M. The mental health of Chinese military personnel: a cross-sectional epidemiological study. BMC Public Health 2024; 24:3525. [PMID: 39695547 DOI: 10.1186/s12889-024-20969-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 12/04/2024] [Indexed: 12/20/2024] Open
Abstract
BACKGROUNDS Considering the crucial role of military personnel's mental health in the armed forces, society, and the nation, the present study aims to describe the prevalence and influential factors of depression, anxiety, insomnia, and post-traumatic stress disorder (PTSD) among Chinese military personnel during the COVID-19 pandemic. METHODS The present study conducted an epidemiological investigation of mental health among Chinese military personnel between October 25th and November 10th, 2022. Data was collected from military units in thirty provinces across the country. Participants completed a self-reported questionnaire about their demographic characteristics and four validated scales (PHQ-9, GAD-7, ISI-7 and PCL-5), assessing the symptoms of depression, anxiety, insomnia, and PTSD. RESULTS A total of 17,423 military personnel participated in the study. The prevalence of depression, anxiety, insomnia, and PTSD were 2.69%, 0.99%, 2.90% and 1.61%, respectively. Certain demographic groups were identified as having a higher prevalence, including older individuals, women, those with longer military service, higher education levels, divorced or widowed individuals, only child, those with one child, and those from urban areas. CONCLUSIONS The prevalence of mental health problems among Chinese military personnel has remained at a relatively low level, but our data still suggest that a significant number of individuals in the Chinese military population are affected by mental health issues. It is crucial for military units, society, and the nation to continuously prioritize the mental well-being of soldiers and provide them with more mental health care services.
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Affiliation(s)
- Kaiyuan Jing
- Department of Military Psychology, Faculty of Medical Psychology, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhengzhi Feng
- Faculty of Medical Psychology, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jing Xu
- Department of Psychiatry, Huaihai Hospital Affiliated to Xuzhou Medical University, Xuzhou, China
| | - Ying He
- Department of Psychiatry, Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Quan Tang
- Medical Psychology Department, NO 984 Hospital of PLA, Beijing, China
| | - Qianhui Zhang
- Department of Foreign Languages, College of Basic Medical Sciences, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ni Wang
- General Hospital of Xinjiang Military Region, Wulumuqi, China
| | | | - Bicheng Gao
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang, China
| | - Bingqing Xue
- School of Educational Sciences, Chongqing Normal University, Chongqing, China
| | - Linkai Wu
- College of Basic Medical Science, Army Medical University (Third Military Medical University), Chongqing, China
| | - Mengxue Zhao
- Department of Military Psychology, Faculty of Medical Psychology, Army Medical University (Third Military Medical University), Chongqing, China.
- Department of Military Psychology, Faculty of Medical Psychology, Army Medical University, Gaotanyan Main Street, Shapingba, Chongqing, 400038, China.
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Xu P, Liu Z, Xu Y, Li T, Xu G, Xu X, Wang L, Yan Y, Xiao S, Li L, Zhang T, Yan J, Yu Y, Xu X, Wang Z, Wang B, Guo W, Huang Y. The prevalence and profiles of adverse childhood experiences and their associations with adult mental health outcomes in China: a cross-sectional study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 53:101253. [PMID: 39717023 PMCID: PMC11665606 DOI: 10.1016/j.lanwpc.2024.101253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 11/04/2024] [Accepted: 11/19/2024] [Indexed: 12/25/2024]
Abstract
BACKGROUND Adverse childhood experiences (ACEs) are common and associated with mental disorders. However, the prevalence and co-occurrence of ACEs and their association with mental health outcomes among Chinese adults have not been well demonstrated. METHODS China Mental Health Survey, a cross-sectional nationally representative survey consisting of 28,140 adults, was conducted from July 2013 to March 2015. Twelve ACEs and mental health outcomes, including mood disorder, anxiety disorder, substance-use disorder, and suicide were measured using the Composite International Diagnostic Interview (CIDI) 3.0 in a weighted representative subsample of 9378 respondents. Latent class analysis was used to identify the co-occurrence profiles of ACEs, and logistic regression was applied to examine the association between ACEs and mental health outcomes. Population-attributable fractions (PAFs) were calculated to quantify the attribution of ACEs to these outcomes. FINDINGS Among the 9378 respondents, the weighted count (proportion) of females was 4642 (49.5%), with a weighted mean (SD) age of 43.0 (15.8) years. In this study, 27.1% of respondents showed at least one ACE, with multiple ACEs common (37.6%) among those affected. Neglect was the most prevalent ACE (11.3%), followed by physical abuse (9.1%). Latent class analysis identified four co-occurrence profiles: low risk of ACEs, maltreatment, caregiver's maladjustment and parental loss. The strongest association with mental health outcomes was found in the caregiver's maladjustment group (OR, 4.9; 95% CI, 3.2-7.6). Estimates of PAFs indicated that all ACEs together explained 39.4% (95% CI, 31.3%-47.4%) of observed mental health outcomes. Gender differences were noted in prevalence and associations with outcomes. INTERPRETATION ACEs are highly prevalent and interrelated in China, attributing to over one-third of the mental disorder burden. In resource-limited settings, prioritizing the reduction of the most prevalent and impactful ACEs through education and policy can more effectively alleviate the disease burden. FUNDING The National Twelfth Five-Year Plan for Science and Technology Support from the Chinese Ministry of Science and Technology (grant numbers 2012BAI01B01 & 2015BAI13B00), and the National Key R&D Program of China (grant numbers 2017YFC0907800 and 2017YFC0907801).
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Affiliation(s)
- Peilin Xu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100091, China
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100091, China
| | - Yifeng Xu
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Tao Li
- Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Guangming Xu
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi 830002, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yongping Yan
- Department of Epidemiology, The Fourth Military Medical University, Xi’an, Shaanxi 710032, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, Hunan 410078, China
| | - Lingjiang Li
- Mental Health Institute, The Second Xiangya Hospital, Central-south University, Changsha, Hunan 410011, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100091, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing 100871, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Bo Wang
- Department of Epidemiology, The Fourth Military Medical University, Xi’an, Shaanxi 710032, China
| | - Wanjun Guo
- Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100091, China
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Hou R, Huang I, Fung KPL, Li A, Jia C, Cheng S, Gao J, Zhang J, Wong JPH. Who is helping students? A qualitative analysis of task-shifting and on-campus mental health services in China's university settings. Soc Sci Med 2024; 363:117527. [PMID: 39566225 DOI: 10.1016/j.socscimed.2024.117527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 10/11/2024] [Accepted: 11/15/2024] [Indexed: 11/22/2024]
Abstract
The mental health of university students is a major concern worldwide. Current literature has highlighted workforce shortage as one of the main barriers for delivering mental health care in China and elsewhere. A common strategy to tackle this shortage involves engaging non-specialist health workers and professionals from non-medical backgrounds in mental health promotion within university settings. Yet, there remains limited understanding of how this approach operates in practice and its effectiveness in delivering essential on-campus services to students. This study contributes to narrowing this knowledge gap through the engagement with interdisciplinary mental health service providers (n = 141) at six universities in Shandong, China. We used focus group interviews to explore how task-shift practices operate in the Chinese university context and analyze the main barriers in the practitioners' delivery of mental health care practices. According to our analysis, (1) competing roles of non-health actors create a trust-privacy dilemma in the delivery of mental health service; (2) knowledge gap and workload issues become new barriers for effective mental health promotion; and (3) the lack of structured intersectoral collaboration creates barriers to establish effective mental health care networks to meet the needs of university students. These results highlight the importance of using a settings approach in designing and assessing mental health interventions based on task-shifting within the contexts of Chinese universities. The study also helps to map out the unique features of the workforce situation in the mental health support system of Chinese universities, offering researchers and practitioners insights on how to better localize their assessment and programming.
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Affiliation(s)
- Rui Hou
- Daphne Cockwell School of Nursing, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada.
| | - Isabella Huang
- Daphne Cockwell School of Nursing, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada.
| | - Kenneth Po-Lun Fung
- Department of Psychiatry, University of Toronto, 399 Bathurst Street, Toronto, ON, M5T 2S8, Canada.
| | - Alan Li
- Regent Park Community Health Centre, 465 Dundas St E 2nd Floor, Toronto, ON, M5A 2B2, Canada.
| | - Cunxian Jia
- Department of Epidemiology, Shandong University, 44 West Wenhua Road, Jinan City, Shandong Province, China.
| | - Shengli Cheng
- Department of Social Work, School of Philosophy and Social Development, Shandong University, China.
| | - Jianguo Gao
- Department of Social Work, School of Philosophy and Social Development, Shandong University, China.
| | | | - Josephine Pui-Hing Wong
- Daphne Cockwell School of Nursing, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada.
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Zhong Z, Chen S, Zhang X, Chen H, Li L. Suboptimal health among Chinese middle school students may be associated with psychological symptoms and sleep duration: a cross-sectional survey in China. BMC Public Health 2024; 24:3137. [PMID: 39533284 PMCID: PMC11558840 DOI: 10.1186/s12889-024-20658-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Accepted: 11/07/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Suboptimal health status (SHS) is an intermediate status between ideal heath and illness, it is characterized by the perception of health complaints, general weakness, decreased immunity and low energy. An increasing number of Chinese middle school students are suffering from psychological symptoms (PS), particularly anxiety and depression. The relationship between SHS and PS is unclear in adolescents. This study aimed to investigate the prevalence of SHS and the correlation between SHS and PS among Chinese middle school students and to identify the SHS-related risk factors from the perspective of public health. METHODS A cross-sectional study was conducted with the cluster sampling method among 1955 middle school students in Shantou, China. SHS was assessed by Suboptimal Health Status Questionnaire-25 (SHSQ-25). And the PS of anxiety and depression were assessed with Generalized Anxiety Disorder Scale (GAD-7) and Beck Depression Inventory-II Scale (BDI-II) self-assessment questionnaires. Variate logistic analysis was applied to explore risk factors of SHS. The relationship between SHS and PS among Chinese middle school students was subsequently analyzed. RESULTS Among the 1955 participants, 1904 middle school students were finally included in the analysis, the effective response rate was 97.39%. The prevalence of SHS was 10.3% (197/1904) while the prevalence of anxiety and depression was 30.7% (585/1904) and 34.1% (649/1904), respectively. A strong correlation was identified between SHS and PS among middle school students. With the aggravation of anxiety and depression, the probability of suffering from SHS increased (both P<0.01). The scores for various dimensions of SHS among the depression and anxiety groups were higher compared to those of the non-depression and non-anxiety groups (all P<0.01 ). Multivariate regression showed that compared with sleeping less than six hours, 6-8 h is a protective factor for SHS (OR = 0.486, 95%CI = 0.278-0.851). CONCLUSIONS Attention should be given to SHS and PS in Chinese middle school students, as they are strongly associated. Lack of sleep is a risk factor for SHS, so sufficient sleep should be recommended to prevent it. Identifying additional risk factors and promoting adequate sleep will improve adolescent health.
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Affiliation(s)
- Zhaohao Zhong
- School of Public Health, Shantou University, Shantou, China
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Shangmin Chen
- School of Public Health, Shantou University, Shantou, China
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
- Sports Medicine Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xiaowei Zhang
- School of Public Health, Shantou University, Shantou, China
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
| | - Hengwei Chen
- School of Public Health, Shantou University, Shantou, China
| | - Liping Li
- School of Public Health, Shantou University, Shantou, China.
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China.
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Gu M, Wang S, Zhang S, Song S, Gu J, Shi Y, Li W, Chen L, Liang Y, Yang Y, Zhang L, Li M, Jiang F, Liu H, Tang YL. The interplay among burnout, and symptoms of depression, anxiety, and stress in Chinese clinical therapists. Sci Rep 2024; 14:25461. [PMID: 39462028 PMCID: PMC11513086 DOI: 10.1038/s41598-024-75550-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 10/07/2024] [Indexed: 10/28/2024] Open
Abstract
Burnout, depression, anxiety, and stress negatively impact the well-being and retention of healthcare professionals. The interplay of these symptoms is understudied. Utilizing network analysis, this study examined the interrelationships among these symptom clusters in clinical therapists in China. An anonymous survey was conducted among clinical therapists from 41 tertiary psychiatric hospitals in China. Burnout was assessed using the Maslach Burnout Inventory-Human Service Survey (MBI-HSS), while symptoms of depression, anxiety, and stress were assessed via the Depression, Anxiety, and Stress Scale-21 (DASS-21). Analyses were performed to identify central symptoms and bridge symptoms of this network. A total of 419 participants were included in this survey. The prevalence rate for burnout, depression, anxiety, and stress was 19.8%, 22.2%, 17.9%, and 8.6%, respectively. Network analysis indicated that stress symptoms had the highest expected influence values, closely followed by emotional exhaustion from MBI-HSS. Notably, emotional exhaustion emerged as the strongest bridge of expected influence. The stability of the expected influence and bridge expected influence was robust, with coefficients at 0.75. The study's findings underscore the importance of recognizing the central symptoms and bridge symptoms, which could lead to more effective early detection and intervention for burnout, depression, anxiety, and stress among clinical therapists.
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Affiliation(s)
- Mengyue Gu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Song Wang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Shujing Zhang
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Suqi Song
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Jingyang Gu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Yudong Shi
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Wenzheng Li
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
- Department of Substance-Related Disorders, Hefei Fourth People's Hospital, Hefei, China
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
| | - Long Chen
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
- Department of Substance-Related Disorders, Hefei Fourth People's Hospital, Hefei, China
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
| | - Yan Liang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Yating Yang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Ling Zhang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Mengdie Li
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Hefei, China
| | - Feng Jiang
- School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.
- Institute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, China.
- Institute of Health Policy, Shanghai Jiao Tong University, Shanghai, China.
- Institute of Grand Health, Wenzhou Medical University, Wenzhou, China.
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
- Anhui Psychiatric Center, Hefei, China.
| | - Yi-Lang Tang
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
- Atlanta Veterans Affairs Medical Center, Decatur, GA, USA
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Chen Y, Wang R, Li X, Wang Z, Cao B, Du J, Deng T, Han J, Yang M. Progress of research on the treatment of depression by traditional Chinese medicine prescriptions. Heliyon 2024; 10:e34970. [PMID: 39157399 PMCID: PMC11328063 DOI: 10.1016/j.heliyon.2024.e34970] [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: 04/06/2024] [Revised: 07/03/2024] [Accepted: 07/19/2024] [Indexed: 08/20/2024] Open
Abstract
Depression is a common psychiatric disorder that belongs to the category of "Depression Syndrome" in traditional Chinese medicine (TCM), and its etiology and pathogenesis are complex and unclear. It is characterized by high prevalence, high disability rate, and high recurrence rate, which seriously affect human health, and its treatment has become a research hotspot worldwide. At present, the antidepressants commonly used in the clinic are mainly Western medicine (WM), but there are problems such as frequent side effects and poor efficacy. Studies have found that the use of TCM prescriptions in the treatment of depression can achieve the same effect as WM; and when TCM prescriptions are combined with WM, the efficacy can be enhanced while the adverse effects of WM can be reduced. Pharmacological studies related to the treatment of depression with traditional Chinese medicine prescriptions (TCMPs) have focused on the neurobiochemical system, gut microbes, and energy metabolism in mitochondria. No one has yet reviewed the pharmacological mechanism of TCMPs for depression. So, this paper reviews the pharmacological mechanism of TCMPs for depression from the perspective of TCMPs, introduces the progress of research on classical TCMPs for depression and their antidepressant mechanism. This article aims to promote the application of TCMPs in the clinic and provide a new therapeutic idea for the clinical treatment of depression.
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Affiliation(s)
- Yiwei Chen
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- NHC Key Laboratory of Biotechnology Drugs, Shandong Academy of Medical Sciences, Jinan, China
| | - Ruyu Wang
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- NHC Key Laboratory of Biotechnology Drugs, Shandong Academy of Medical Sciences, Jinan, China
| | - Xue Li
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- NHC Key Laboratory of Biotechnology Drugs, Shandong Academy of Medical Sciences, Jinan, China
| | - Zhiying Wang
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- NHC Key Laboratory of Biotechnology Drugs, Shandong Academy of Medical Sciences, Jinan, China
| | - Baorui Cao
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jinxin Du
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Tingting Deng
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jinxiang Han
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- NHC Key Laboratory of Biotechnology Drugs, Shandong Academy of Medical Sciences, Jinan, China
| | - Meina Yang
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- NHC Key Laboratory of Biotechnology Drugs, Shandong Academy of Medical Sciences, Jinan, China
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8
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Song X, Anderson T, Lin T, Yu Fang B. The effects of a multimedia intervention on help-seeking process with a Chinese college student sample. J Clin Psychol 2024; 80:522-536. [PMID: 38098248 DOI: 10.1002/jclp.23629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 09/07/2023] [Accepted: 11/20/2023] [Indexed: 02/09/2024]
Abstract
Little is known about encouraging help-seeking in non-English speaking settings and relatively little research has been directed to facilitate help-seeking among Chinese-speaking people. This study examined the effects of a multimedia intervention on barriers, attitudes, and intentions for seeking counseling in China. The multimedia intervention was informed by prior empirical research on models of help-seeking for counseling. A total of 200 participants were randomly assigned to one of the two conditions: (1) a help-seeking media-exposed intervention group and (2) a control group, who watched a hospital advertisement that was unrelated to mental health help-seeking. Results indicated that the intervention was effective at increasing both positive attitudes toward therapy and intentions to seek therapy. The intervention also improved participants' perceptions about treatment accessibility. This intervention is available and can be a resource for Chinese language populations (both within China and other countries), especially for immigrants, rural, and persons who might benefit from mental health treatments such as psychotherapy.
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Affiliation(s)
- Xiaoxia Song
- University Health Services, University of California, Berkeley, California, USA
| | | | - Tao Lin
- Psychology Department, Ohio University, Athens, Ohio, USA
| | - Bi Yu Fang
- Counseling Center, Shanghai University of Engineering Science, Songjiang, Shanghai, China
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9
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Wang Y, Deng H, Gao S, Li T, Wang F. A Fresh Perspective on Examining Population Emotional Well-Being Trends by Internet Search Engine: An Emerging Composite Anxiety and Depression Index. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:202. [PMID: 38397692 PMCID: PMC10888063 DOI: 10.3390/ijerph21020202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024]
Abstract
Traditional assessments of anxiety and depression face challenges and difficulties when it comes to understanding trends in-group psychological characteristics. As people become more accustomed to expressing their opinions online, location-based online media and cutting-edge algorithms offer new opportunities to identify associations between group sentiment and economic- or healthcare-related variables. Our research provides a novel approach to analyzing emotional well-being trends in a population by focusing on retrieving online information. We used emotionally enriched texts on social media to build the Public Opinion Dictionary (POD). Then, combining POD with the word vector model and search trend, we developed the Composite Anxiety and Depression Index (CADI), which can reflect the mental health level of a region during a specific time period. We utilized the representative external data by CHARLS to validate the effectiveness of CADI, indicating that CADI can serve as a representative indicator of the prevalence of mental disorders. Regression and subgroup analysis are employed to further elucidate the association between public mental health (measured by CADI) with economic development and medical burden. The results of comprehensive regression analysis show that the Import-Export index (-16.272, p < 0.001) and average cost of patients (4.412, p < 0.001) were significantly negatively associated with the CADI, and the sub-models stratificated by GDP showed the same situation. Disposable income (-28.389, p < 0.001) became significant in the subgroup with lower GDP, while the rate of unemployment (2.399, p < 0.001) became significant in the higher subgroup. Our findings suggest that an unfavorable economic development or unbearable medical burden will increase the negative mental health of the public, which was consistent across both the full and subgroup models.
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Affiliation(s)
- Yu Wang
- Center for Applied Statistics, Renmin University of China, Beijing 100872, China;
- School of Statistics, Renmin University of China, Beijing 100872, China; (H.D.); (S.G.); (T.L.)
| | - Heming Deng
- School of Statistics, Renmin University of China, Beijing 100872, China; (H.D.); (S.G.); (T.L.)
| | - Sunan Gao
- School of Statistics, Renmin University of China, Beijing 100872, China; (H.D.); (S.G.); (T.L.)
| | - Tongxu Li
- School of Statistics, Renmin University of China, Beijing 100872, China; (H.D.); (S.G.); (T.L.)
| | - Feifei Wang
- Center for Applied Statistics, Renmin University of China, Beijing 100872, China;
- School of Statistics, Renmin University of China, Beijing 100872, China; (H.D.); (S.G.); (T.L.)
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10
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Gu M, Zheng L, Gu J, Wang S, Shi Y, Jiang F, Liu H, Tang YL. Would you choose to be a psychiatrist again? A large-sample nationwide survey of psychiatrists and psychiatry residents in China. Int J Ment Health Syst 2023; 17:43. [PMID: 38053204 DOI: 10.1186/s13033-023-00614-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND The mental health workforce sustainability in China suffers high rates of attrition and the intention to leave. Among current professionals, the intention to choose the same career is an interesting way to gauge their job satisfaction and other factors, and it may affect the career choices of younger generations. We aimed to survey the intention of psychiatrists and psychiatry residents to choose the same career if they could start over and to identify associated factors. METHODS We conducted an anonymous survey of psychiatrists in 41 tertiary psychiatric hospitals in China. We collected demographic data, work-related information, the sense of professional identity, job satisfaction, and burnout (Maslach Burnout Inventory), and we specifically asked each participant whether they would choose to be a psychiatrist again if they could. RESULTS Among 3,783 psychiatrists we surveyed, one-quarter responded that they would not choose to be a psychiatrist again if they had a choice, with less than half (47.2%) saying they would. Those who would not choose psychiatry again were more likely to have a negative (relative to positive) professional identity (OR = 7.47, P<0.001, 95%CI: 4.587-12.164); experience job burnout (OR = 2.945, P<0.001, 95%CI: 2.356-3.681); be dissatisfied with their job (OR = 2.739, P<0.001, 95%CI: 2.102-3.569) and excessive regulation (OR = 1.819, P<0.001, 95%CI: 1.487-2.226); have a heavy workload (OR = 1.749, P<0.001, 95%CI: 1.423-2.149) or a lower income (OR = 1.748, P<0.001, 95%CI: 1.415-2.161); be married (relative to single) (OR = 1.604, P = 0.004, 95%CI: 1.165-2.208); be dissatisfied with strained doctor-patient relationship (OR = 1.333, P = 0.005, 95%CI: 1.089-1.632); have more night shifts per month (OR = 1.055, P = 0.021, 95%CI: 1.008-1.104) or work longer hours per week (OR = 1.016, P = 0.001, 95%CI: 1.006-1.025). CONCLUSION Among psychiatrists in tertiary hospitals in China, those with a heavier workload, poor sense of professional identity, job dissatisfaction, and burnout were less likely to choose psychiatry again. Policymakers and hospital administrators need to take effective measures to improve psychiatrists' sense of professional identity and increase their intention to stay.
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Affiliation(s)
- Mengyue Gu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Liucheng Zheng
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Jingyang Gu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Song Wang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Yudong Shi
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Feng Jiang
- Institute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, China.
- School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
| | - Yi-Lang Tang
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia, USA
- Atlanta VA Medical Center, Decatur, Georgia, USA
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11
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Trani JF, Yen BJ, Duncan A, Bakhshi P, Palmo T, Jadhav S, Deshpande S. People with mental illness stigmatize mental illness less: A comparison study between a hospital-based sample of people with mental illness and a non-clinical general population sample in urban India. Transcult Psychiatry 2023; 60:954-972. [PMID: 37551092 DOI: 10.1177/13634615231179265] [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] [Indexed: 08/09/2023]
Abstract
Evidence shows that stigma negatively influences the quality of life of persons with severe mental illness. Nonetheless, stigma towards mental illness is lower among persons with a lived experience of mental illness compared to the rest of the population. Understanding the association between stigma of mental illness and the mental status of individuals living in urban India and whether this association is moderated by demographic factors opens a new avenue for prevention of social exclusion. Persons diagnosed with schizophrenia, bipolar disorder, or severe unipolar depression (cases, n = 647) were recruited from among hospital patients in New Delhi between November 2011 and June 2012 and matched with non-psychiatric urban dwellers by age, sex, and location of residence (controls, n = 649). Propensity score matching with multivariable linear regression was used to test whether stigma towards mental illness, measured by a 13-item Stigma Questionnaire, differed between cases and controls. Cases reported significantly lower stigma scores than controls (b = -0.50, p < 0.0001). The strength of the association between mental illness and stigma was not affected after controlling for age, caste, sex, education, and employment status, while wealth marginally reduced the strength of the association. These findings suggest individuals with a lived experience of mental illness, in New Delhi, India, may be more tolerant towards mental illness and support the need to involve persons with lived experience in the development and implementation of health promotional campaigns and programs aimed at reducing stigma towards mental illness.
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Affiliation(s)
- Jean-Francois Trani
- Brown School and Institute of Public Health, Washington University in St Louis, USA
- National Pedagogical school Health and Solidarity, National Center for Arts and Crafts, France
| | - Bing-Jie Yen
- School of Public Health, Indiana University Bloomington, USA
| | - Alexis Duncan
- Brown School and Institute of Public Health, Washington University in St Louis, USA
| | - Parul Bakhshi
- School of Occupational Therapy, Medical School, Washington University in St Louis, USA
| | - Trinley Palmo
- Students health and wellness, University of Virginia, USA
| | | | - Smita Deshpande
- Department of Psychiatry, De-addiction Services & Resource Center for Tobacco Control, PGIMER-Dr. Ram Manohar Lohia Hospital, New Delhi, India
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12
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Ao MQ, Xia L, Wang XQ, Fang S, Yang BX, Liu Q, Chen J, Zhou SC, Li XY, Sun T, Lu B, Bao A, Luo D, Ruan J. Help-Seeking Intentions for Depression from Mental Health Professionals Among Community-Dwelling Persons in Central China. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2023; 50:901-911. [PMID: 37277690 DOI: 10.1007/s10488-023-01277-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/22/2023] [Indexed: 06/07/2023]
Abstract
Understanding the intention of community residents to seek help from mental health professionals (MHPs) is essential in targeting interventions that promote the prevention and treatment of depression. This study aimed to investigate the current status of Chinese community populations' depression help-seeking intentions from MHPs and explore factors influencing the intentions. Data were used from a survey conducted in a city in central China (n = 919 aged 38.68 ± 17.34, 72.1% female). Help-seeking intentions, help-seeking attitude, depression stigma, family function and depressive symptoms were measured. The total mean score on the intent to seek help from MHPs was 11.01 ± 7.78 and most of respondents were unwilling to seek professional help. Multiple linear regression showed that participants who were students, held a positive help-seeking attitude and had low personal stigma were more likely to have the intention to seek help from MHPs. It is necessary to utilize effective interventions to improve community residents' intention to seek professional help. These include promoting the importance of seeking professional assistance, optimizing the quality of mental health services and altering residents' prejudice to seeking professional help.
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Affiliation(s)
- Meng Qin Ao
- School of Nursing, Wuhan University, Wuhan, 430071, China
| | - Lin Xia
- School of Nursing, Wuhan University, Wuhan, 430071, China
| | - Xiao Qin Wang
- School of Nursing, Wuhan University, Wuhan, 430071, China
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shu Fang
- Department of Hepatopancreatobiliary Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Bing Xiang Yang
- School of Nursing, Wuhan University, Wuhan, 430071, China
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
- Population and Health Research Center, Wuhan University, Wuhan, China
| | - Qian Liu
- School of Nursing, Wuhan University, Wuhan, 430071, China
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
- Population and Health Research Center, Wuhan University, Wuhan, China
| | - Jie Chen
- College of Nursing, Florida State University, Tallahassee, USA
| | - Si Chen Zhou
- School of Nursing, Wuhan University, Wuhan, 430071, China
| | - Xin Yi Li
- School of Nursing, Wuhan University, Wuhan, 430071, China
| | - Ting Sun
- Department of Nursing, Renmin Hospital of Wuhan University, Wuhan, China
| | - Baili Lu
- Wuhan Mental Health Center, Wuhan, China
| | - Anyu Bao
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
| | - Dan Luo
- School of Nursing, Wuhan University, Wuhan, 430071, China.
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
- Population and Health Research Center, Wuhan University, Wuhan, China.
| | - Juan Ruan
- Wuhan Mental Health Center, Wuhan, China.
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13
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Li J, Liu Z, Li M, Huang Y, Yin H, Xu G, Li L, Zhang T, Yan J, Yu Y, Xu X, Wang Z, Xu Y, Li T, Hou X, Xu X, Wang L, Yan Y, Xiao S, Du X, Li G. Associations of adverse childhood experiences with common psychiatric disorder in later life: results from the China mental health survey. BMC Geriatr 2023; 23:706. [PMID: 37907840 PMCID: PMC10619228 DOI: 10.1186/s12877-023-04421-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 10/19/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND Associations between adverse childhood experiences (ACEs) and common psychiatric disorders among older Chinese individuals have not been well reported. The objectives of this study are to examine the prevalence of ACEs and the associations of ACEs with common psychiatric disorders among older adults in China. METHODS The study used data from the China Mental Health Survey (CMHS), a nationally representative epidemiological survey, which used computer-assisted personal interviewing (CAPI), logistic regression models were used to examine community-based adult psychiatric disorders and associated risk factors. Finally, 2,317 individuals aged 60 years or over were included in the CMHS. The national prevalence of ACEs in older adults were estimated and logistic regression were used to analyse the association between ACEs and past-year psychiatric disorders. RESULTS Prevalence of ACEs among older adults in China was 18.1%. The three most common types of ACEs were neglect (11.6%), domestic violence (9.2%), and parental loss (9.1%). This study proved the association between ACEs and common past-year psychiatric disorders in older adults. ACEs increased the risk of past-year psychiatric disorders in older adults. After adjustment for age, sex, marital status, employment status, education, rural or urban residence, region, and physical diseases, the association between ACEs and past-year psychiatric disorders were still significant. CONCLUSIONS ACEs are linked to an increased risk for past-year psychiatric disorders in older adults. ACEs may have long-term effects on older adults' mental well-being. Preventing ACEs may help reduce possible adverse health outcomes in later life.
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Affiliation(s)
- Jinhao Li
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Zhaorui Liu
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Institute of Mental Health), Peking University Sixth Hospital, Ministry of Health (Peking University), Beijing, China
| | - Minghui Li
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Yueqin Huang
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Institute of Mental Health), Peking University Sixth Hospital, Ministry of Health (Peking University), Beijing, China
| | - Huifang Yin
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
| | - Guangming Xu
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, 410011, Hunan, China
| | - Tingting Zhang
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Institute of Mental Health), Peking University Sixth Hospital, Ministry of Health (Peking University), Beijing, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing, 100871, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Yifeng Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Tao Li
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Department of Psychiatry, Hangzhou Seventh People's Hospital, Hangzhou, 310013, Zhejiang, China
| | - Xiaofei Hou
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi, 830002, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yongping Yan
- Department of Epidemiology, the Fourth Military Medical University, Xi'an, 710032, Shaanxi Province, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, 410078, Hunan, China
| | - Xiangdong Du
- Suzhou Guangji Hospital, Suzhou, 215008, Jiangsu, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng, 024000, Inner Mongolia Autonomous Region, China
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14
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Li W, Cheng P, Liu Z, Ma C, Liu B, Zheng W, Scarisbrick D, Lu J, Li L, Huang Y, Wang L, Yan Y, Xiao S, Zhang Y, Zhang T, Yan J, Yu Y, Xu X, Wang Z, Xu Y, Li T, Xu G, Xu X, Xue M, Li G, Jia F, Shi J, Zhang N, Du X, Sang H, Zhang C, Liu B. Post-traumatic stress disorder and traumatic events in China: a nationally representative cross-sectional epidemiological study. Psychiatry Res 2023; 326:115282. [PMID: 37290364 DOI: 10.1016/j.psychres.2023.115282] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/10/2023]
Abstract
Post-traumatic stress disorder (PTSD) is one of the most severe sequelae of trauma. But a nationally representative epidemiological data for PTSD and trauma events (TEs) was unavailable in China. This article firstly demonstrated detailed epidemiological information on PTSD, TEs, and related comorbidities in the national-wide community-based mental health survey in China. A total of 9,378 participants completed the PTSD-related interview of the CIDI 3.0. Lifetime prevalence and 12-month prevalence of PTSD in total respondents were 0.3% and 0.2%. while the conditional lifetime and 12-month prevalence of PTSD after trauma exposure were 1.8% and 1.1%. The prevalence of exposure to any type of TE was 17.2%. Among individuals with the exposed to TEs, younger, without regular work (being a homemaker or retried), and intimate relationship breakdown (separated/Widowed/Divorced), living rurally were associated with either the lifetime PTSD or the 12-month PTSD, while the count of a specific TE, the unexpected death of loved one, was related to both. Alcohol dependence was the most common comorbidity among male participants with PTSD but major depressive disorder (MDD) for female counterparts. Our study can provide a reliable reference for future identification and intervention for people with PTSD.
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Affiliation(s)
- Weihui Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Peng Cheng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Bangshan Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Wanhong Zheng
- West Virginia University Department of Behavioral Medicine and Psychiatry, 930 Chestnut Ridge Road, Morgantown, WV 26505
| | - Dave Scarisbrick
- West Virginia University Department of Behavioral Medicine and Psychiatry, West Virginia University Department of Neuroscience 930 Chestnut Ridge Road, Morgantown, WV 26505
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Lingjiang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yongping Yan
- Department of Epidemiology, the Fourth Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha 410078, Hunan, China
| | - Yan Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing 100871, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, Ningxia, China
| | - Yifeng Xu
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Tao Li
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Guangming Xu
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi 830002, China
| | - Meihua Xue
- The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng 024000, Inner Mongolia Autonomous Region, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510120, Guangdong, China
| | - Jianfei Shi
- Department of Psychiatry, Hangzhou Seventh People's Hospital, Hangzhou 310013, Zhejiang, China
| | - Ning Zhang
- Nanjing Brain Hospital, Nanjing 210029, Jiangsu, China
| | - Xinbai Du
- The Third People's Hospital of Qinghai, Xining 810007, Qinghai, China
| | - Hong Sang
- Changchun Sixth Hospital, Changchun 130052, Jilin, China
| | - Congpei Zhang
- Harbin First Specialized Hospital, Harbin 150000, Heilongjiang, China
| | - Bo Liu
- Jingzhou Mental Health Center, Jingzhou 434000, Hubei China
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15
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Tang TR, Wang M, Li H, Yang SC, Zhang CC, Lin WR, Ke XC, Zhang HY, Su J, Zhu SL. Untreated depression and anxiety in patients with common skin diseases: a cross-sectional study in China. Front Psychol 2023; 14:1150998. [PMID: 37260960 PMCID: PMC10227509 DOI: 10.3389/fpsyg.2023.1150998] [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: 01/25/2023] [Accepted: 04/26/2023] [Indexed: 06/02/2023] Open
Abstract
Objective The study aimed to analyze the current status and reasons for the neglect of the psychological need of patients with common skin diseases. Methods This cross-sectional study was conducted in China using an online self-assessment questionnaire distributed via social media. Demographic, clinical and psychological data were collected, and the main outcomes, i.e., depression (evaluated using the 9-item Patient Health Questionnaire, PHQ-9) and anxiety (evaluated using Generalized Anxiety Disorder-7, GAD-7). Multivariate regression analysis was used for the prediction of variates of mental health service seeking behaviors. Results A total of 1,010 patients participated in the survey, and 273 (27.0%) patients met the "with need" criteria, i.e., having the need for mental health intervention but not being treated. In the multivariate regression model, income (OR = 0.80, 95%CI: 0.65-0.99), duration of disease (OR = 0.68, 95%CI: 0.49-0.95) and suicide ideation (OR = 2.10, 95%CI: 1.14-3.87) were significant factors. For patients who did not receive mental health care, the lack of knowledge about the availability of mental health services, lack of knowledge of where to seek help, concerns about the side effects of treatment, failure to seek treatment for severe skin diseases, and absence of current psychological distress were associated with their need for psychological intervention. Conclusion This study examined the current status of the need for psychological intervention and the reasons why the need was unmet in patients with skin diseases. Due to the confusion and a lack of knowledge about their mental health issues, mental health services are often underutilized.
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Affiliation(s)
- Tao-Ran Tang
- School of Nursing, Hunan University of Chinese Medicine, Hunan, Changsha, China
- Department of Nursing, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Hunan, Changsha, China
| | - Mi Wang
- Department of Dermatology, Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Hong Li
- School of Nursing, Hunan University of Chinese Medicine, Hunan, Changsha, China
| | - Song-Chun Yang
- Department of Dermatology, Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Cheng-Cheng Zhang
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Hunan, Changsha, China
| | - Wen-Rui Lin
- Department of Dermatology, Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Xin-Chen Ke
- Department of Dermatology, Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Han-Yi Zhang
- Department of Dermatology, Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Juan Su
- Department of Dermatology, Xiangya Hospital, Central South University, Hunan, Changsha, China
| | - Shi-Lin Zhu
- Department of Nursing, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Hunan, Changsha, China
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Long-term disability in common mental disorders in Chinese community: evidence from a five-year follow-up study. BMC Psychiatry 2022; 22:727. [PMID: 36419029 PMCID: PMC9682650 DOI: 10.1186/s12888-022-04382-4] [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: 06/27/2022] [Accepted: 11/10/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Common mental disorders are general term for mental disorders with high disability rates and significant social burden. The purpose of this study was to determine the degree of long-term disability associated with common mental disorders and to interpret the relationship between common mental disorders and long-term disability. METHODS Participants in the 2013 China Mental Health Survey were followed up by telephone between April and June 2018. This study evaluated long-term disability over a five-year period using the World Health Organization's Disability Assessment Schedule 2.0. Poisson regression was used to analyze the relationship between common mental disorders and long-term disability. RESULTS A total of 6269 patients were followed up by telephone. In patients with common mental disorders, the prevalence of disability ranged from 7.62% to 43.94%. The long-term disabilities were significantly associated with dysthymic disorder (DD, RR:2.40; 95% CI:1.87-3.03), major depressive disorder (MDD, RR:1.63; 95% CI:1.34-1.98), generalized anxiety disorder (GAD, RR:1.95; 95% CI:1.15-3.09), obsessive-compulsive disorder (OCD, RR:1.68; 95% CI:1.24-2.22) and alcohol use disorder (AUD, RR: 1.42; 95% CI:0.99-1.96). CONCLUSIONS In China, common mental disorders raise the risk of long-term disability, and there is a critical need for monitoring patients with DD, MDD, GAD, OCD, and AUD. For improved quality of life and reduced disability levels, more resources need to be dedicated to mental health in the future.
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17
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Li JY, Wu H, Yuan S, Wang C, Wang Q, Zhong Y, Zhang N, Heffner K, Fox PT. A meta-analysis on neural changes of cognitive training for mental disorders in executive function tasks: increase or decrease brain activation? BMC Psychiatry 2022; 22:155. [PMID: 35232404 PMCID: PMC8886766 DOI: 10.1186/s12888-022-03796-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 02/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cognitive impairment is often found in patients with psychiatric disorders, and cognitive training (CT) has been shown to help these patients. To better understand the mechanisms of CT, many neuroimaging studies have investigated the neural changes associated with it. However, the results of those studies have been inconsistent, making it difficult to draw conclusions from the literature. Therefore, the objective of this meta-analysis was to identify consistent patterns in the literature of neural changes associated with CT for psychiatric disorders. METHODS We searched for cognitive training imaging studies in PubMed, Cochrane library, Scopus, and ProQuest electronic databases. We conducted an activation likelihood estimation (ALE) for coordinate-based meta-analysis of neuroimaging studies, conduct behavioral analysis of brain regions identified by ALE analysis, conduct behavioral analysis of brain regions identified by ALE analysis, and then created a functional meta-analytic connectivity model (fMACM) of the resulting regions. RESULTS Results showed that CT studies consistently reported increased activation in the left inferior frontal gyrus (IFG) and decreased activation in the left precuneus and cuneus from pre- to post- CT. CONCLUSION CT improves cognitive function by supporting language and memory function, and reducing neuronal resources associated with basic visual processing.
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Affiliation(s)
- Jin Yang Li
- grid.89957.3a0000 0000 9255 8984Nan jing Brain Hospital affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.89957.3a0000 0000 9255 8984Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, 210029 Jiangsu China
| | - Huiqin Wu
- grid.89957.3a0000 0000 9255 8984Nan jing Brain Hospital affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China
| | - Shiting Yuan
- grid.89957.3a0000 0000 9255 8984Nan jing Brain Hospital affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China
| | - Chun Wang
- Nan jing Brain Hospital affiliated to Nanjing Medical University, Nanjing, 210029, Jiangsu, China. .,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, 210029, Jiangsu, China.
| | - Qian Wang
- grid.24696.3f0000 0004 0369 153XBeiJing TianTan Hospital, Capital Medical University, Beijing, 100050 China
| | - Yuan Zhong
- grid.260474.30000 0001 0089 5711School of Psychology, Nanjing Normal University, Nanjing, 210029 Jiangsu China
| | - Ning Zhang
- grid.89957.3a0000 0000 9255 8984Nan jing Brain Hospital affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.89957.3a0000 0000 9255 8984Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, 210029 Jiangsu China
| | - Kathi Heffner
- grid.412750.50000 0004 1936 9166Department of Psychiatry, University of Rochester School of Nursing, Rochester, New York 14622 USA
| | - Peter T. Fox
- grid.89957.3a0000 0000 9255 8984Nan jing Brain Hospital affiliated to Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.89957.3a0000 0000 9255 8984Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, 210029 Jiangsu China ,grid.267309.90000 0001 0629 5880South Texas Veterans Healthcare System, University of Texas Health San Antonio, San Antonio, USA ,grid.267309.90000 0001 0629 5880Research Imaging Institute, University of Texas Health San Antonio, San Antonio, USA
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18
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Cui X, Li M, Li P, Li J, Hou X, Yan G, Li P, Su X, Qin D, Zhang Y, Gu Y, Yin H, Xu G. Help-Seeking Behaviors and Related Factors in Chinese Patients With Major Depressive Disorder: A Community-Based Cross-Sectional Study. Front Psychiatry 2022; 13:934428. [PMID: 35873223 PMCID: PMC9298966 DOI: 10.3389/fpsyt.2022.934428] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 06/09/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Although evidence-based and effective treatments are available for people with major depressive disorder (MDD), a substantial number do not seek or receive help. Therefore, this study aimed to (1) investigate the total help-seeking rate and first-time help-seeking choices; (2) explore the perceived helpfulness of 23 potential sources; and (3) evaluate the factors related to help-seeking behaviors among patients with MDD. MATERIALS AND METHODS Data came from the Tianjin Mental Health Survey (TJMHS), which included a representative sample of adult community residents (n = 11,748) in the Chinese municipality of Tianjin. Of these, 439 individuals were diagnosed with lifetime MDD according to the Diagnostic and Statistical Manual-fourth edition (DSM-IV) and administered a help-seeking questionnaire. RESULTS In a survey, 28.2% of patients with MDD living community reported that they had ever sought any help during their entire lifetime before the interview, with 8.2% seeking help in mental healthcare settings, 8.0% only in other healthcare settings, and 12.0% only in non-healthcare sources (e.g., family, friends, and spiritual advisor). Among help-seekers, the first help mainly was sought in non-healthcare sources (61.3%), followed by healthcare settings (25.8%) and mental healthcare settings (12.9%). The majority of MDD individuals thought the non-healthcare sources were not helpful and mental healthcare settings were helpful or possibly helpful to solve mental problems. Female, having 10-12 or higher education years, comorbid anxiety disorders were associated with increased help-seeking. CONCLUSION A small percentage of individuals with MDD living in community of Tianjin sought help. They preferred non-healthcare sources to healthcare settings. Demographic and clinical features were associated with help-seeking behaviors.
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Affiliation(s)
- Xiaojuan Cui
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Minghui Li
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Peijun Li
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Jinhao Li
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Xiaofei Hou
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Guoli Yan
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Peiyao Li
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Xuyang Su
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Danni Qin
- Institute of Applied Psychology, Tianjin University, Tianjin, China
| | - Yijiao Zhang
- Institute of Applied Psychology, Tianjin University, Tianjin, China
| | - Yan Gu
- Tianjin Third Central Hospital, Tianjin, China
| | - Huifang Yin
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Guangming Xu
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
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19
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Hu Y, Huang Y, Wang L, Liu Z, Wang L, Yan J, Zhang M, Lv P, Guan Y, Ma C, Huang Z, Zhang T, Chen H. Disability and Comorbidity of Mood Disorders and Anxiety Disorders With Diabetes and Hypertension: Evidences From the China Mental Health Survey and Chronic Disease Surveillance in China. Front Psychiatry 2022; 13:889823. [PMID: 35669270 PMCID: PMC9163306 DOI: 10.3389/fpsyt.2022.889823] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/26/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND The China Mental Health Survey was carried out using the same sampling frame with the China Chronic Diseases and Risk Factors Surveillance. This paper explores the relationship between the disability and the comorbidity of mood disorders and anxiety disorders with diabetes and hypertension. METHODS A large-scale nationally representative sample with both mental disorders and chronic diseases was collected from 157 Disease Surveillance Points in 31 provinces across China. Face-to-face interviews were conducted by trained lay interviewers to make diagnoses of mood disorders and anxiety disorders using the Composite International Diagnostic Interview. Diabetes and hypertension were diagnosed from self-report and blood examination or body measurement. Sampling design weights, non-response adjustment weights, and post-stratification adjustment weights were applied during the analyses of comorbidity and disability. RESULTS Totally 15,000 respondents had information of mental disorders and physical diseases. In the patients with mood disorders or anxiety disorders, the weighted prevalence rates of diabetes or hypertension were not higher than those in persons without the above mental disorders, but the weighed disability rates increased when having the comorbidity of hypertension (P < 0.05). The severity of disability was higher among patients with comorbidity of diabetes and anxiety disorders, or hypertension and mood disorders, compared with that among patients without the physical comorbidity (P < 0.05). After adjusted by age, gender and education, patients with comorbidity of mental disorders and physical disorders had the highest disability, followed by the patients with mental disorders only, and physical diseases only. CONCLUSIONS The disability of mood disorders and anxiety disorders comorbid with diabetes and hypertension are more serious than that of any single disease. The relationship of mental and physical diseases is worth exploring in depth for comprehensive and integrated intervention to decrease the disability.
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Affiliation(s)
- Yuanyuan Hu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Linhong Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jie Yan
- School of Government, Peking University, Beijing, China
| | - Mei Zhang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Lv
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Yunqi Guan
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Zhengjing Huang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hongguang Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
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20
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Li B, Zhang G, Ma J, Kang M. Mortality rate of mental disorder trends in China from 2002 to 2020. Front Psychiatry 2022; 13:1039918. [PMID: 36458125 PMCID: PMC9707622 DOI: 10.3389/fpsyt.2022.1039918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/31/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The number of people with mental disorders is increasing in China, but there are few studies on the temporal trends and population distribution of mental disorder mortality. METHODS The mortality of mental disorders were derived from the China Health Statistics Yearbook published by the National Health and Family Planning Commission. Temporal trends in mortality were examined with a joinpoint regression using annual percent change (APC) and average annual percent change (AAPC). A Poisson regression model was utilized to test the population-level risk factors associated with the death of people with mental disorders. RESULTS The mortality of mental disorders in rural Chinese residents showed a decreasing trend from 2002 to 2020 [AAPC -2.06%, 95% confidence interval (CI) -3.16 to -0.91%]. The mortality of mental disorders in urban Chinese residents declined between 2005 and 2011 (APC -13.01%, 95% CI -21.08 to -4.13%). The mortality rate of mental disorders has decreased for urban males with an APC of -2.71% (95% CI -4.52 to -0.71) from 2002 to 2020. Urban women showed an increase in mental disorder mortality from 2002 to 2005 and from 2012 to 2020 with APCs of 19.65% (95% CI 0.64-42.32%) and 6.16% (95% CI 2.22-10.33%), respectively. Age was a significant risk factor for mental disorder mortality (odds ratio 1.28, 95% CI 1.23-1.32). CONCLUSION The dissemination of medical and health information, investment in medical and health resources, and the modification and optimization of regulations have led to a decrease in mental disorder mortality in China. It is vital to devote greater attention to elderly individuals suffering from mental disorders.
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Affiliation(s)
- Boxuan Li
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Guoshuang Zhang
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Jing Ma
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Mingxiu Kang
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
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21
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Peng R, Wang Y, Huang Y, Liu Z, Xu X, Ma Y, Wang L, Zhang M, Yan Y, Wang B, Xiao S, Zhou L, Li L, Zhang Y, Ma C, Zhang T, Yan J, Ding H, Yu Y, Kou C, Xu X, Lu J, Wang Z, He S, Xu Y, He Y, Li T, Guo W, Xu G, Yin H, Du X, Wu Y, Li G, Jia F, Shi J, Chen Z, Zhang N, Li S. The association of depressive symptoms with disability among adults in China. J Affect Disord 2022; 296:189-197. [PMID: 34607060 DOI: 10.1016/j.jad.2021.09.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 07/30/2021] [Accepted: 09/12/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND The symptoms that patients with major depressive disorder (MDD) experience are the dominant contributing factors to its heavy disease burden. This study sought to identify key symptoms leading to disability in patients with MDD. METHODS Subjects consisted of patients who had a 12-month MDD diagnosis based on the China Mental Health Survey (CMHS). World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) was used to assess the degree of disability. The associations between depressive symptoms and disability were analyzed using a linear regression and logistic regression with a complex sampling design. RESULTS Of the 32,552 community residents, 655 patients were diagnosed with 12-month MDD. The disability rate due to MDD was 1.06% (95% CI: 0.85%-1.28%) among adults in Chinese community and 50.7% (95% CI: 44.3%-57.1%) among MDD patients. Depression was associated with all functional losses measured by the WHODAS. Feelings of worthlessness in life or inappropriate guilt, and psychomotor agitation or retardation were the key symptoms related to disability. Economic status, co-morbidity of physical diseases or anxiety disorders were correlates of disability scores. LIMITATIONS The disability rate might be underestimated due to the exclusion of MDD patients living in hospitals. The effect of treatments on disability was excluded. CONCLUSIONS Psychological symptoms, not somatic symptoms, contribute to disability in MDD patients. Disability worsens when physical diseases or anxiety disorders are present. More attention could be paid to psychological symptoms, physical diseases, and anxiety disorders in MDD patients with disabilities.
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Affiliation(s)
- Rui Peng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yongshi Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi 830002, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi 830002, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Mei Zhang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yongping Yan
- Department of Epidemiology, the Fourth Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Bo Wang
- Department of Epidemiology, the Fourth Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha 410078, Hunan, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha 410078, Hunan, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha 410011, Hunan, China
| | - Yan Zhang
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha 410011, Hunan, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing 100871, China
| | - Hua Ding
- Institute of Social Science Survey, Peking University, Beijing 100871, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Zhizhong Wang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, Ning Xia, China
| | - Shulan He
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, Ning Xia, China
| | - Yifeng Xu
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yanling He
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Tao Li
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Wanjun Guo
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | | | - Huifang Yin
- Tianjin Anding Hospital, Tianjin 300222, China
| | - Xiangdong Du
- Suzhou Guangji Hospital, Suzhou 215008, Jiangsu, China
| | - Yue Wu
- The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi, Jiangsu 214151, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng 024000, Inner Mongolia Autonomous Region, China
| | - Fujun Jia
- Guangdong General Hospital, Guangdong Mental Health Institute, Guangzhou 510120, Guangdong, China
| | - Jianfei Shi
- Department of Psychiatry, Hangzhou Seventh People's Hospital, Hangzhou 310013, Zhejiang, China
| | - Zheli Chen
- The Third People's Hospital of Huzhou, Huzhou 313000, Zhejiang, China
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, Jiangsu, China
| | - Shengju Li
- The Third People's Hospital of Qinghai, Xining 810007, Qinghai, China
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22
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Sun L, Zhang Y, Cui L, Li J, Li L, Sun X, Liu Y, Zhang L, Li K. Lifetime and 1-Month Prevalence of Mental Disorders in Hebei Province, China: A Community-Based Cross-Sectional Study. Front Public Health 2021; 9:759160. [PMID: 34722453 PMCID: PMC8551383 DOI: 10.3389/fpubh.2021.759160] [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: 08/16/2021] [Accepted: 09/13/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The prevalence of mental disorders is an important topic, which has been reported in different countries in the world. In China, some studies were also conducted to get the prevalence of mental disorders at the national level and in some metropolitan cities. However, the prevalence of mental disorders in Chinese underdeveloped provinces has not been reported internationally in recent decades. Due to the discrepancy in the social-economic development of different Chinese provinces, we also have reasons to believe the different prevalence of mental disorders between underdeveloped provinces and other provinces. Method: A community-based cross-sectional study was conducted among community residents aged 18 years and older in Hebei province, China. We screened 20,884 community residents in this study, and a Structured Clinical Interview for Diagnostic and Statistical Manual (DSM-IV) Axis I disorders was used to make the diagnoses of mental disorders. Results: The weighted lifetime prevalence of mental disorders was 15.87% (95% CI 15.38-16.38%), and the 1-month prevalence was 10.79% (95% CI 10.37-11.22%). Anxiety disorder ranked first in the classification of mental disorders for both lifetime (6.56%) and 1-month prevalence (6.25%). The weighted lifetime and 1-month region-gender-age-specific prevalence of mental disorders was also analyzed in this study. Conclusions: Mental disorders have been an important issue in Chinese economically underdeveloped regions, and the prevalence was at a high level compared with the results in the 2000s. There are several serious challenges in the work of Chinese mental disorders, which should be paid more attention to.
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Affiliation(s)
- Long Sun
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Yunshu Zhang
- Hebei Provincial Mental Health Center, Baoding, China
| | - Lijun Cui
- Hebei Provincial Mental Health Center, Baoding, China
| | - Jianfeng Li
- Hebei Provincial Mental Health Center, Baoding, China
| | - Lin Li
- Hebei Provincial Mental Health Center, Baoding, China
| | - Xiuli Sun
- Hebei Provincial Mental Health Center, Baoding, China
| | - Yongqiao Liu
- Hebei Provincial Mental Health Center, Baoding, China
| | - Lili Zhang
- Hebei Provincial Mental Health Center, Baoding, China
| | - Keqing Li
- Hebei Provincial Mental Health Center, Baoding, China
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Lu J, Xu X, Huang Y, Li T, Ma C, Xu G, Yin H, Xu X, Ma Y, Wang L, Huang Z, Yan Y, Wang B, Xiao S, Zhou L, Li L, Zhang Y, Chen H, Zhang T, Yan J, Ding H, Yu Y, Kou C, Shen Z, Jiang L, Wang Z, Sun X, Xu Y, He Y, Guo W, Jiang L, Li S, Pan W, Wu Y, Li G, Jia F, Shi J, Shen Z, Zhang N. Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study. Lancet Psychiatry 2021; 8:981-990. [PMID: 34559991 DOI: 10.1016/s2215-0366(21)00251-0] [Citation(s) in RCA: 386] [Impact Index Per Article: 96.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/21/2021] [Accepted: 06/30/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND In China, depressive disorders have been estimated to be the second leading cause of years lived with disability. However, nationally representative epidemiological data for depressive disorders, in particular use of mental health services by adults with these disorders, are unavailable in China. The present study, part of the China Mental Health Survey, 2012-15, aims to describe the socioeconomic characteristics and the use of mental health services in people with depressive disorders in China. METHODS The China Mental Health Survey was a cross-sectional epidemiological survey of mental disorders in a multistage clustered-area probability sample of adults of Chinese nationality (≥18 years) from 157 nationwide representative population-based disease surveillance points in 31 provinces across China. Trained investigators interviewed the participants with the Composite International Diagnostic Interview 3.0 to ascertain the presence of lifetime and 12-month depressive disorders according to DSM-IV criteria, including major depressive disorder, dysthymic disorder, and depressive disorder not otherwise specified. Participants with 12-month depressive disorders were asked whether they received any treatment for their emotional problems during the past 12 months and, if so, the specific types of treatment providers. The Sheehan Disability Scale (SDS) was used to assess impairments associated with 12-month depressive symptoms. Data-quality control procedures included logic check by computers, sequential recording check, and phone-call check by the quality controllers, and reinterview check by the psychiatrists. Data were weighted according to the age-sex-residence distribution data from China's 2010 census population survey to adjust for differential probabilities of selection and differential response, as well as to post-stratify the sample to match the population distribution. FINDINGS 28 140 respondents (12 537 [44·6%] men and 15 603 [55·4%] women) completed the survey between July 22, 2013, and March 5, 2015. Ethnicity data (Han or non-Han) were collected for only a subsample. Prevalence of any depressive disorders was higher in women than men (lifetime prevalence odds ratio [OR] 1·44 [95% CI 1·20-1·72] and 12-month prevalence OR 1·41 [1·12-1·78]), in unemployed people than employed people (lifetime OR 2·38 [95% CI 1·68-3·38] and 12-month OR 2·80 [95% CI 1·88-4·18]), and in people who were separated, widowed, or divorced compared with those who were married or cohabiting (lifetime OR 1·87 [95% CI 1·39-2·51] and 12-month OR 1·85 [95% CI 1·40-2·46]). Overall, 574 (weighted % 75·9%) of 744 people with 12-month depressive disorders had role impairment of any SDS domain: 439 (83·6%) of 534 respondents with major depressive disorder, 207 (79·8%) of 254 respondents with dysthymic disorder, and 122 (59·9%) of 189 respondents with depressive disorder not otherwise specified. Only an estimated 84 (weighted % 9·5%) of 1007 participants with 12-month depressive disorders were treated in any treatment sector: 38 (3·6%) in speciality mental health, 20 (1·5%) in general medical, two (0·3%) in human services, and 21 (2·7%) in complementary and alternative medicine. Only 12 (0·5%) of 1007 participants with depressive disorders were treated adequately. INTERPRETATION Depressive disorders in China were more prevalent in women than men, unemployed people than employed, and those who were separated, widowed, or divorced than people who were married or cohabiting. Most people with depressive disorders reported social impairment. Treatment rates were very low, and few people received adequate treatment. National programmes are needed to remove barriers to availability, accessibility, and acceptability of care for depression in China. FUNDING National Health Commission and Ministry of Science and Technology of People's Republic of China. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China; The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Yueqin Huang
- Institute of Mental Health, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China.
| | - Tao Li
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Chao Ma
- Institute of Mental Health, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | | | | | - Xiangdong Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China; The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhengjing Huang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yongping Yan
- Department of Epidemiology, the Fourth Military Medical University, Xi'an, China
| | - Bo Wang
- Department of Epidemiology, the Fourth Military Medical University, Xi'an, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Yan Zhang
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Hongguang Chen
- Institute of Mental Health, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - TingTing Zhang
- Institute of Mental Health, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Hua Ding
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Zonglin Shen
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Linling Jiang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China; Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Xian Sun
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Yifeng Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanling He
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wanjun Guo
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Lijun Jiang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China; Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Shengyan Li
- The Third People's Hospital of Qinghai Province, Xining, Qinghai, China
| | - Wen Pan
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yue Wu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng, Inner Mongolia, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangzhou, Guangdong, China
| | - Jianfei Shi
- Department of Psychiatry, Hangzhou Seventh People's Hospital, Hangzhou, Zhejiang, China
| | - Zhongxia Shen
- The Third People's Hospital of Huzhou, Huzhou, Zhejiang, China
| | - Ning Zhang
- Nanjing Brain Hospital, affiliated to Nanjing Medical University, Nanjing, Jiangsu, China
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Abstract
China accounts for 17% of the global disease burden attributable to mental, neurological and substance use disorders. As a country undergoing profound societal change, China faces growing challenges to reduce the disease burden caused by psychiatric disorders. In this review, we aim to present an overview of progress in neuroscience research and clinical services for psychiatric disorders in China during the past three decades, analysing contributing factors and potential challenges to the field development. We first review studies in the epidemiological, genetic and neuroimaging fields as examples to illustrate a growing contribution of studies from China to the neuroscience research. Next, we introduce large-scale, open-access imaging genetic cohorts and recently initiated brain banks in China as platforms to study healthy brain functions and brain disorders. Then, we show progress in clinical services, including an integration of hospital and community-based healthcare systems and early intervention schemes. We finally discuss opportunities and existing challenges: achievements in research and clinical services are indispensable to the growing funding investment and continued engagement in international collaborations. The unique aspect of traditional Chinese medicine may provide insights to develop a novel treatment for psychiatric disorders. Yet obstacles still remain to promote research quality and to provide ubiquitous clinical services to vulnerable populations. Taken together, we expect to see a sustained advancement in psychiatric research and healthcare system in China. These achievements will contribute to the global efforts to realize good physical, mental and social well-being for all individuals.
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25
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Liu Z, Li P, Yin H, Li M, Yan J, Ma C, Ding H, Li Q, Huang Z, Yan Y, Kou C, Hu M, Wen J, Chen S, Jia C, Huang Y, Xu G. Future Trends in Disability and Its Determinants Among Chinese Community Patients With Anxiety Disorders: Evidence From a 5-Year Follow-Up Study. Front Psychiatry 2021; 12:777236. [PMID: 34955923 PMCID: PMC8695844 DOI: 10.3389/fpsyt.2021.777236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 11/11/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Anxiety disorders (ADs) are a group of disorders with a high disability rate and bring a huge social burden. In China, information on future trends in the disability among community ADs patients and its determinants are rare. The objectives of this study are to describe the future trends in the disability among ADs patients living in community and to investigate the determinants of the disability. Methods: Participants diagnosed with 12-month ADs in the China Mental Health Survey (CMHS) were followed up by telephone from April to June 2018 to assess the future trends in the disability in a 5-year interval using the World Health Organization's Disability Assessment Schedule 2.0. The disability rate was reported and its determinants were analyzed by complex sample design multivariate logistic regression. Results: Totally 271 patients were interviewed by telephone and 33 informants finished proxy interviews. The disability rates were 45.9% and 14.3% among ADs patients at baseline and during the follow-up. Patients with general anxiety disorder (GAD) or agoraphobia with/without panic disorder (AGP) had the lower decrease and higher disability during the follow-up than patients with other subtypes. Patients aged in middle age (aged 40-49 years old, OR = 11.12, 95% CI: 4.16-29.72), having disability at baseline (OR = 7.18, 95% CI: 1.37-37.73), having comorbidity with three or more physical diseases (OR = 9.27, 95% CI: 2.48-34.71), and having comorbidity with other mental disorders (OR = 3.97, 95% CI: 1.13-13.96) had higher disability during the follow-up. Conclusions: The disability rate tends to decrease among ADs patients living in communities. Treatment priority should be given for ADs patients with disability and those in middle age. Treatments for the comorbidity of other mental disorders or physical diseases should be considered when treating anxiety.
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Affiliation(s)
- Zhaorui Liu
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Peking University Sixth Hospital (Institute of Mental Health), Ministry of Health (Peking University), Beijing, China
| | - Peijun Li
- Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Huifang Yin
- Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Minghui Li
- Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Jie Yan
- School of Government, Peking University, Beijing, China
| | - Chao Ma
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Peking University Sixth Hospital (Institute of Mental Health), Ministry of Health (Peking University), Beijing, China
| | - Hua Ding
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Qiang Li
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Zhengjing Huang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, China
| | - Yongping Yan
- Department of Epidemiology, The Fourth Military Medical University, Xi'an, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Mi Hu
- Xiangya School of Public Health, Changsha, China
| | - Jing Wen
- Department of Epidemiology and Health Statistics, School of Public Health and Management at Ningxia Medical University, Yinchuan, China
| | - Shulin Chen
- Department of Psychological and Behavior Science, Zhejiang University, Hangzhou, China
| | - Cunxian Jia
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University & Shandong University Center for Suicide Prevention Research, Jinan, China
| | - Yueqin Huang
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Peking University Sixth Hospital (Institute of Mental Health), Ministry of Health (Peking University), Beijing, China
| | - Guangming Xu
- Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
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Su RC, Huang LH, Li J, Zhou B, Zhao JJ, Li H. The Sichuan Mental Health Survey: Methodology. Front Psychiatry 2021; 12:645355. [PMID: 34603092 PMCID: PMC8484526 DOI: 10.3389/fpsyt.2021.645355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 08/03/2021] [Indexed: 12/04/2022] Open
Abstract
The Sichuan Mental Health Survey (SMHS) is a provincially representative survey with a coherent methodology to obtain the prevalence of multiple mental disorders and data of services used and to analyze the psychological and social risk factors or correlates in Sichuan, China. Mental disorders include anxiety disorders, mood disorders, schizophrenia, and other psychotic disorders, drug use and alcohol use disorders, impulse control disorder, and eating disorders. A cross-sectional design is employed to sample adults from 200 communities/villages in all 21 prefectural-level municipalities of Sichuan Province in a five-stage provincially representative disproportionate stratified sampling design. The participants need to be interviewed face to face by trained interviewers from local primary healthcare institutions and by psychiatrists. The quality control staff implement data quality control by checking records and statistics in the interview system, and then re-interviewing checks are done by the psychiatrists. Data is weighted to adjust the sample distribution to match the whole population. The outcomes of the SMHS would not only demonstrate the serious challenges posed by the high burdens of mental disorders but also offer baseline data for policymakers and healthcare professionals to study and resolve the factors that influence mental health in Sichuan, China.
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Affiliation(s)
- Rong-Cheng Su
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.,Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
| | - Li-Hong Huang
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.,Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
| | - Jia Li
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.,Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
| | - Bo Zhou
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.,Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
| | - Jia-Jun Zhao
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.,Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
| | - Hui Li
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.,Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
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27
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Tan W, Lin H, Lei B, Ou A, He Z, Yang N, Jia F, Weng H, Hao T. The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia. BMC Med Inform Decis Mak 2020; 20:132. [PMID: 32646484 PMCID: PMC7477870 DOI: 10.1186/s12911-020-1125-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in Guangdong province, with 20 million real-world follow-up records in the last decade. Methods Data was collected from Guangdong mental health information platform from 2010 to 2019, which had standardized disease registration and follow-up management for nearly 600,000 patients with six categories of mental diseases and 400,000 patients with schizophrenia. We conducted clinical staging for the disease course of the patients and divided the data with various factors into different stages of disease. Quantitative analysis was utilized to investigate the high relevant indicators to the disease. The results were projected on geography map for regional distribution analysis. Results The majority cases of mental disease incidence were between the age of 15 and 29, while the peak age for both male and female was between 20 to 24 years old. The disease course with the largest number of patients’ cases was between 5 to 10 years. The therapeutic effect of patients gradually decreased with the development of disease course, while the risk increased with the disease course. The analysis of influencing factors showed that poor economic conditions incurred higher risk scores, and good medication adherence was effective in improving treatment outcomes. In addition, receiving good education contributed to the reduction of the risk of schizophrenia and the improvement of the efficiency of early treatment. Through the analysis of regional distribution of schizophrenia disease, developed economic conditions and favorable resource conditions could promote the reduction of disease risk, while in economically backward regions, it often accompanied with lower therapeutic effect and higher disease risk. Conclusions Certain demographic factors had a relatively prominent impact on the therapeutic effect and risk of schizophrenia, such as high-quality medication adherence. Therapeutic effect and risk were highly correlated. Backward economic conditions often associated with poor efficacy and higher risk assessment, and the developed economy and better medical resource are beneficial for the treatment of psychotic.
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Affiliation(s)
- Wenyan Tan
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Haicheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Baoxin Lei
- School of Computer Science, South China Normal University, Guangzhou, China
| | - Aihua Ou
- Department of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zehui He
- Department of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ning Yang
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China.
| | - Heng Weng
- Department of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
| | - Tianyong Hao
- School of Computer Science, South China Normal University, Guangzhou, China.
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28
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Li M, Huang Y, Liu Z, Shen R, Chen H, Ma C, Zhang T, Li S, Prince M. The association between frailty and incidence of dementia in Beijing: findings from 10/66 dementia research group population-based cohort study. BMC Geriatr 2020; 20:138. [PMID: 32293307 PMCID: PMC7158148 DOI: 10.1186/s12877-020-01539-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 03/29/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The relationship between frailty and dementia is unclear and there are very few population-based studies regarding this issue in China. The purpose of this study is to estimate the association between frailty and incident dementia in China, and to explore different effects of frailty established by three definitions of frailty on dementia incidence. METHODS A five-year prospective cohort study was carried out in 2022 participants aged 65 years and over in urban and rural sites in Beijing, China. The participants were interviewed by trained community primary health care workers from 2004 to 2009. Frailty was defined using modified Fried frailty phenotype, physical frailty definition, and multidimensional frailty definition. Dementia was diagnosed using the 10/66 dementia criterion for calculating cumulative incidence. Both competing risk regression models and Cox proportional hazards models were applied to examine the associations between frailty at baseline and five-year cumulative incidence of dementia. RESULTS At the end of follow-up the five-year cumulative incidence rates of dementia with frailty and without frailty defined by the modified Fried frailty were 21.0% and 9.6%, those defined by the physical frailty were 19.9% and 9.0%, and those defined by the multidimensional frailty were 22.8% and 8.9%, respectively. Compared with non-frail participants, frail people had a higher risk of incident dementia using multidimensional frailty definition after adjusting covariates based on competing risk regression model (HR = 1.47, 95% CI 1.01~2.17) and Cox proportional hazards model (HR = 1.56, 95% CI 1.07~2.26). The association between frailty and incident dementia was statistically significant in participants in the upper three quartiles of age (aged 68 years and over) using the multidimensional frailty definition based on the competing risk regression model (HR = 1.61, 95% CI 1.06~2.43) and Cox proportional hazard model (HR = 1.76, 95% CI 1.19~2.61). CONCLUSIONS Multidimensional frailty may play an inherent role in incident dementia, especially in the people aged over 68, which is significant for distinguishing high risk people and determining secondary prevention strategies for dementia patients.
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Affiliation(s)
- Minghui Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Committee Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Committee Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Committee Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
| | - Rui Shen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Committee Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hongguang Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Committee Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Committee Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Committee Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shuran Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Health Committee Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Martin Prince
- Global Health Institute, King's College London, London, UK
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29
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Mak ADP, Chan AKW, Chan PKL, Tang CP, Lai K, Wong S, Leung P, Hung SF, Lam LCW, Lee S. Diagnostic Outcomes of Childhood ADHD in Chinese Adults. J Atten Disord 2020; 24:126-135. [PMID: 30259782 DOI: 10.1177/1087054718802015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective: We examined adulthood diagnostic, functioning, and social outcomes of childhood ADHD in a Hong Kong Chinese clinical sample. Method: We identified from the central registry 499 Chinese adults clinically diagnosed with ADHD aged 6 to 12 in 2002-2005 in four Hong Kong child psychiatric centers. Assessments included ADHD Clinical Diagnostic Scale (ACDS), Structured Clinical Interview for DSM Disorders (SCID), and World Health Organization Disability Assessment Schedule (WHO-DAS). Results: Eligible participants = 499. One hundred forty-five completed assessments, two deceased, six incarcerated, 100 had invalid contact, 83 declined, 34 emigrated, and 129 unable to attend. Mean follow-up duration = 14.9 years. Nonrespondents were slightly younger (19.78 vs. 20.53, p < .001). In all, 83.1% of all participants currently met Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) ADHD criteria (36.8% inattentive subtype (IA), 43% combined, 3.3% hyperactive/impulsive subtype (H/I) ). One third of persistent ADHD participants currently received care. ADHD persistence was associated with significantly increased psychiatric comorbidity (49.5% vs. 22.7%, p = .02) and poor academic and social outcomes. ADHD persistence and comorbidity independently predicted impairment. Conclusion: Adulthood-persistence of clinically presented childhood ADHD is common and impairing in Hong Kong Chinese.
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Affiliation(s)
| | | | | | | | - Kelly Lai
- The Chinese University of Hong Kong, Tai Po, Hong Kong
| | - Sheila Wong
- The Chinese University of Hong Kong, Tai Po, Hong Kong
| | - Patrick Leung
- The Chinese University of Hong Kong, Tai Po, Hong Kong
| | - S F Hung
- The Chinese University of Hong Kong, Tai Po, Hong Kong
| | - Linda C W Lam
- The Chinese University of Hong Kong, Tai Po, Hong Kong
| | - Sing Lee
- The Chinese University of Hong Kong, Tai Po, Hong Kong
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30
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Xu Y, Wang Y, Chen J, He Y, Zeng Q, Huang Y, Xu X, Lu J, Wang Z, Sun X, Chen J, Yan F, Li T, Guo W, Xu G, Tian H, Xu X, Ma Y, Wang L, Zhang M, Yan Y, Wang B, Xiao S, Zhou L, Li L, Zhang Y, Chen H, Zhang T, Yan J, Ding H, Yu Y, Kou C, Jia F, Liu J, Chen Z, Zhang N, Du X, Du X, Wu Y, Li G. The comorbidity of mental and physical disorders with self-reported chronic back or neck pain: Results from the China Mental Health Survey. J Affect Disord 2020; 260:334-341. [PMID: 31521871 DOI: 10.1016/j.jad.2019.08.089] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 08/24/2019] [Accepted: 08/28/2019] [Indexed: 11/17/2022]
Abstract
BACKGROUND To investigate mental and physical health comorbidity with chronic back or neck pain in the Chinese population, and assess the level of disability associated with chronic back or neck pain. METHODS Data were derived from a large-scale and nationally representative community survey of adult respondents on mental health disorders in China (n = 28,140). Chronic back or neck pain, other chronic pain conditions and chronic physical conditions were assessed by self-report. Mental disorders were assessed by the Composite International Diagnostic Interview (CIDI). Role disability during the past 30 days was assessed with the World Health Organization Disability Assessment Schedule (WHO-DAS-II). RESULTS The 12-month prevalence of chronic back or neck pain was 10.8%. Most of respondents with chronic back or neck pain (71.2%) reported at least one other comorbid condition, including other chronic pain conditions (53.4%), chronic physical conditions (37.9%), and mental disorders (23.9%). It was found by logistic regression that mood disorders (OR = 3.7, 95%CI:2.8-4.8) showed stronger association with chronic back or neck pain than anxiety disorders and substance disorders. Most common chronic pains and physical conditions were significantly associated with chronic back or neck pain. Chronic back or neck pain was associated with role disability after controlling for demographics and for comorbidities. Physical and mental comorbidities explained 0.7% of the association between chronic back or neck pain and role disability. CONCLUSIONS Chronic back or neck pain and physical-mental comorbidity is very common in China and chronic back or neck pain may increase the likelihood of other physical and mental diseases. This presents a great challenge for both clinical treatment and public health education. We believe that further study needs to be conducted to improve the diagnostic and management skills for comorbidity conditions.
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Affiliation(s)
- Yifeng Xu
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yan Wang
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Jianhua Chen
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yanling He
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Qingzhi Zeng
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Xian Sun
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Jing Chen
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Feng Yan
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Tao Li
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Wanjun Guo
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | | | | | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Limin Wang
- National Center for Chronic and NonCommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mei Zhang
- National Center for Chronic and NonCommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yongping Yan
- Department of Epidemiology, Air Force Medical University of the Chinese People's Liberation Army, Xi'an, China
| | - Bo Wang
- Department of Epidemiology, Air Force Medical University of the Chinese People's Liberation Army, Xi'an, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, China
| | - Yan Zhang
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, China
| | - Hongguang Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jie Yan
- Department of Biostatistics, School of Public Health, School of Government, and Institute of Social Science Survey, Peking University, Beijing, China
| | - Hua Ding
- Department of Biostatistics, School of Public Health, School of Government, and Institute of Social Science Survey, Peking University, Beijing, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangzhou, China
| | - Jian Liu
- The Seventh Hospital of Hangzhou, Hangzhou, China
| | - Zheli Chen
- Huzhou Third People's Hospital, Huzhou, China
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xinbai Du
- The Third People's Hospital of Qinghai Province, Xining, China
| | - Xiangdong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yue Wu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng, China
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Lu S, Oldenburg B, Li W, He Y, Reavley N. Population-based surveys and interventions for mental health literacy in China during 1997-2018: a scoping review. BMC Psychiatry 2019; 19:316. [PMID: 31655552 PMCID: PMC6815452 DOI: 10.1186/s12888-019-2307-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 09/30/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This scoping review maps population-based surveys and mental health literacy (MHL) interventions undertaken in China during 1997-2018 in order to identify research gaps. METHOD Following Arksey and O'Malley's framework for a scoping review, five English databases (Medline, PsycINFO, Cochrane library, Web of Science and CINAHL) and two Chinese ones (CNKI and WanFang) were systematically searched, identifying both reports of surveys and evaluation of interventions from Jan 1997 to Oct 2018. RESULTS MHL research has developed rapidly in China in terms of numbers of studies and geographic coverage over the past two decades. There were 350 peer-reviewed publications included in this review, covering diverse settings and participants. Of these publications, 313 (89.4%) were published in Chinese-language journals and 37 in English-language journals; 303 (86.6%) reported on survey findings and 47 reported on the evaluation of MHL interventions. MHL research in China has mainly focused on the assessment of mental health-related knowledge and beliefs. Much less attention has been given to developing and evaluating relevant interventions. MHL related to general mental health and suicide were most commonly studied, with less focus on specific disorders, although some studies covered depression, psychosis and anxiety disorders. The majority of MHL tools utilized in the studies reported in this review were developed in China (n = 97, 80.2% ) and almost half of these studies (57.8%) did not provide enough details concerning psychometrics. CONCLUSIONS More interventions targeting the general public and aiming to improve MHL and promote behaviour change, are needed in China. These should be evaluated with high-quality study designs, such as randomised controlled trials. Proper validation of tools used for measuring MHL should also be addressed in future studies.
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Affiliation(s)
- Shurong Lu
- Department of Chronic Disease, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, 210009 Jiangsu China
- The Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010 Australia
| | - Brian Oldenburg
- The Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010 Australia
| | - Wenjing Li
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010 Australia
| | - Yanling He
- Shanghai Mental health Centre, Shanghai, 200030 China
| | - Nicola Reavley
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010 Australia
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Song X, Anderson T, Himawan L, McClintock A, Jiang Y, McCarrick S. An Investigation of a Cultural Help-Seeking Model for Professional Psychological Services With U.S. and Chinese Samples. JOURNAL OF CROSS-CULTURAL PSYCHOLOGY 2019. [DOI: 10.1177/0022022119878506] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Help-seeking processes for participants in the People’s Republic of China and the United States were modeled in the present study. The decision to seek professional services for mental health problems (e.g., psychotherapy) has been primarily studied by applying principles from the theory of planned behavior and reasoned action (TPB). Application of the TPB has commonly been used with a three-level empirical model of help-seeking, whereby expectations/barriers to help-seeking predict attitudes toward therapy, which in turn predicts intentions and behaviors to seek professional help. Informed by the TPB, the present study added a cultural-contextual level to the model to account for the role of cultural identity variables, which included independent and interdependent self-construal as well as gender. The resulting four-level model, the cultural help-seeking (CHS) model, was compared with the conventional three-level help-seeking model using data collected from 296 college students from Mainland China and 334 college students from the United States. Separate analyses were conducted for the Chinese group and American group. Chinese versions of the questionnaires were developed for the present study using translation and back-translation procedures. Using structural regression modeling, the four-level CHS model provided a better fit than the three-level traditional model for both the U.S. and Chinese samples. However, the specific decisional pathways within this four-level model were structurally different for the U.S. and Chinese samples. Findings suggest that including cultural-contextual variables as a first level of the professional help-seeking model is supported by both samples.
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33
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Prevalence of mental disorders in China. Lancet Psychiatry 2019; 6:467-468. [PMID: 31122475 DOI: 10.1016/s2215-0366(19)30128-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 02/28/2019] [Accepted: 03/25/2019] [Indexed: 11/24/2022]
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Huang Y, Wang Y, Wang H, Liu Z, Yu X, Yan J, Yu Y, Kou C, Xu X, Lu J, Wang Z, He S, Xu Y, He Y, Li T, Guo W, Tian H, Xu G, Xu X, Ma Y, Wang L, Wang L, Yan Y, Wang B, Xiao S, Zhou L, Li L, Tan L, Zhang T, Ma C, Li Q, Ding H, Geng H, Jia F, Shi J, Wang S, Zhang N, Du X, Du X, Wu Y. Prevalence of mental disorders in China: a cross-sectional epidemiological study. Lancet Psychiatry 2019; 6:211-224. [PMID: 30792114 DOI: 10.1016/s2215-0366(18)30511-x] [Citation(s) in RCA: 1303] [Impact Index Per Article: 217.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 12/07/2018] [Accepted: 12/07/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND The China Mental Health Survey was set up in 2012 to do a nationally representative survey with consistent methodology to investigate the prevalence of mental disorders and service use, and to analyse their social and psychological risk factors or correlates in China. This paper reports the prevalence findings. METHODS We did a cross-sectional epidemiological survey of the prevalence of mental disorders (mood disorders, anxiety disorders, alcohol-use and drug-use disorders, schizophrenia and other psychotic disorders, eating disorder, impulse-control disorder, and dementia) in a multistage clustered-area probability sample of adults from 157 nationwide representative population-based disease surveillance points in 31 provinces across China. Face-to-face interviews were done with a two-stage design by trained lay interviewers and psychiatrists with the Composite International Diagnostic Interview, the Structured Clinical Interview for DSM-IV Axis I disorders, the Community Screening Instrument for Dementia from the 10/66 dementia diagnostic package, and the Geriatric Mental State Examination. Data-quality control procedures included logic check by computers, sequential recording check, and phone-call check by the quality controllers, and reinterview check by the psychiatrists. Data were weighted to adjust for differential probabilities of selection and differential response as well as to post-stratify the sample to match the population distribution. FINDINGS 32 552 respondents completed the survey between July 22, 2013, and March 5, 2015. The weighted prevalence of any disorder (excluding dementia) was 9·3% (95% CI 5·4-13·3) during the 12 months before the interview and 16·6% (13·0-20·2) during the participants' entire lifetime before the interview. Anxiety disorders were the most common class of disorders both in the 12 months before the interview (weighted prevalence 5·0%, 4·2-5·8) and in lifetime (7·6%, 6·3-8·8). The weighted prevalence of dementia in people aged 65 years or older was 5·6% (3·5-7·6). INTERPRETATION The prevalence of most mental disorders in China in 2013 is higher than in 1982 (point prevalence 1·1% and lifetime prevalence 1·3%), 1993 (point prevalence 1·1% and lifetime prevalence 1·4%), and 2002 (12-month prevalence 7·0% and lifetime prevalence 13·2%), but lower than in 2009 (1-month prevalence 17·5%). The evidence from this survey poses serious challenges related to the high burdens of disease identified, but also offers valuable opportunities for policy makers and health-care professionals to explore and address the factors that affect mental health in China. FUNDING National Health Commission of Health (Ministry of Health) and Ministry of Science and Technology of China.
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Affiliation(s)
- Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
| | - Yu Wang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hong Wang
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jie Yan
- School of Government, Peking University, Beijing, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Shulan He
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Yifeng Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanling He
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tao Li
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Wanjun Guo
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | | | | | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Linhong Wang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Limin Wang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yongping Yan
- Department of Epidemiology, Air Force Medical University of the Chinese People's Liberation Army, Xi'an, China
| | - Bo Wang
- Department of Epidemiology, Air Force Medical University of the Chinese People's Liberation Army, Xi'an, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, China
| | - Liwen Tan
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qiang Li
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Hua Ding
- Institute of Social Science Survey, Peking University, Beijing, China
| | | | - Fujun Jia
- Guangdong Mental Health Center, Guangzhou, China
| | - Jianfei Shi
- The Seventh Hospital of Hangzhou, Hangzhou, China
| | | | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xinbai Du
- The Third People's Hospital of Qinghai Province, Xining, China
| | - Xiangdong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yue Wu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
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Patel V, Saxena S, Lund C, Thornicroft G, Baingana F, Bolton P, Chisholm D, Collins PY, Cooper JL, Eaton J, Herrman H, Herzallah MM, Huang Y, Jordans MJD, Kleinman A, Medina-Mora ME, Morgan E, Niaz U, Omigbodun O, Prince M, Rahman A, Saraceno B, Sarkar BK, De Silva M, Singh I, Stein DJ, Sunkel C, UnÜtzer JÜ. The Lancet Commission on global mental health and sustainable development. Lancet 2018; 392:1553-1598. [PMID: 30314863 DOI: 10.1016/s0140-6736(18)31612-x] [Citation(s) in RCA: 1342] [Impact Index Per Article: 191.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Revised: 06/11/2018] [Accepted: 07/05/2018] [Indexed: 12/11/2022]
Affiliation(s)
- Vikram Patel
- Harvard Medical School, Boston, MA, USA; Harvard TH Chan School of Public Health, Boston, MA, USA; Sangath, Goa, India; Public Health Foundation of India, New Delhi, India.
| | - Shekhar Saxena
- Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Crick Lund
- Centre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Alan J Flisher Centre for Public Mental Health, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Graham Thornicroft
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London UK
| | - Florence Baingana
- WHO Sierra Leone, Freetown, Sierra Leone; Makerere University School of Public Health, Kampala, Uganda
| | - Paul Bolton
- Department of International Health and Department of Mental Health, Center for Humanitarian Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Dan Chisholm
- WHO Regional Office for Europe, Copenhagen, Denmark
| | - Pamela Y Collins
- University of Washington School of Medicine and School of Public Health, Seattle, WA, USA
| | - Janice L Cooper
- The Carter Center, Monrovia, Liberia; Emory University, Atlanta, GA, USA
| | - Julian Eaton
- CBM International, Bensheim, Germany; Centre for Global Mental Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Helen Herrman
- Orygen, National Centre of Excellence in Youth Mental Health and Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia; World Psychiatric Association, Melbourne, VIC Australia; WHO Collaborating Centre in Mental Health, Melbourne, VIC Australia
| | - Mohammad M Herzallah
- Palestinian Neuroscience Initiative, Al-Quds University, Jerusalem, Palestine; Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA
| | - Yueqin Huang
- National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Mark J D Jordans
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; Research and Development, War Child, Amsterdam, Netherlands; Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Arthur Kleinman
- Department of Anthropology, Harvard University, Cambridge, MA, USA; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Ellen Morgan
- Templeton World Charity Foundation, Nassau, The Bahamas
| | - Unaiza Niaz
- Psychiatric Clinic and Stress Research Centre, Karachi, Pakistan; University of Health Sciences, Lahore, Pakistan; Dow University of Health Sciences, Karachi, Pakistan
| | - Olayinka Omigbodun
- College of Medicine and Centre for Child and Adolescent Mental Health, University of Ibadan, Ibadan, Nigeria
| | - Martin Prince
- King's Global Health Institute, King's College London, London, UK
| | - Atif Rahman
- University of Liverpool, Liverpool, UK; Human Development Research Foundation, Islamabad, Pakistan
| | - Benedetto Saraceno
- School of Medical Sciences, University Nova of Lisbon, Lisbon, Portugal; Lisbon Institute of Global Mental Health, Lisbon, Portugal
| | - Bidyut K Sarkar
- PRIDE Project, Sangath, India; Public Health Foundation of India, New Delhi, India
| | | | - Ilina Singh
- Department of Psychiatry and Wellcome Centre for Ethics and Humanities, University of Oxford, Oxford, UK
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; Groote Schuur Hospital, Cape Town, South Africa; South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
| | - Charlene Sunkel
- South African Federation for Mental Health, Johannesburg, South Africa; Movement for Global Mental Health, Johannesburg, South Africa
| | - JÜrgen UnÜtzer
- Department of Psychiatry and Behavioral Sciences and the Advancing Integrated Mental Health Solutions Center, University of Washington, Seattle, WA, USA
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Mao R, Zhang C, Chen J, Zhao G, Zhou R, Wang F, Xu J, Yang T, Su Y, Huang J, Wu Z, Cao L, Wang Y, Hu Y, Yuan C, Yi Z, Hong W, Wang Z, Peng D, Fang Y. Different levels of pro- and anti-inflammatory cytokines in patients with unipolar and bipolar depression. J Affect Disord 2018; 237:65-72. [PMID: 29778935 DOI: 10.1016/j.jad.2018.04.115] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 04/18/2018] [Accepted: 04/24/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Immune system dysregulation is critical in the physiopathology of major depressive disorder (MDD) and bipolar disorder (BD). However, it is unclear whether both diseases present the same inflammatory patterns during depressive episodes. We explored the differences in pro- and anti-inflammatory cytokines between unipolar and bipolar depression (BDD) and the trajectory of these cytokines after acute-phase treatment. METHODS Sixty-four MDD patients, 61 BDD patients, and 62 healthy controls (HCs) were enrolled. We assessed the clinical features and cytokines plasma levels at baseline and week 12. The pro-inflammatory cytokines (IL-6, TNF-α) and anti-inflammatory cytokines (IL-4, IL-13) of all subjects were assessed by multiplexed sandwich ELISA-based quantitative arrays. RESULTS Before acute-phase treatment, the initial levels of TNF-α and IL-13 were significantly lower in the BDD patients than in the MDD patients. The results demonstrated that there was no relationship between each cytokine level and clinical features of unipolar and bipolar depressions. After 12 weeks, TNF-α, IL-4, and IL-13 levels became lower in MDD patients than in the other two groups regardless of the patients' response to treatment while the levels of TNF-α and IL-4 increased only in the BDD responders. LIMITATIONS The effects of different drugs on inflammatory cytokines in MDD or BDD could not be explored further due to the relatively small sample size. CONCLUSION Even within the same depressive states, MDD and BDD patients present different inflammatory features, particularly in regard to pro-inflammatory TNF-α and anti-inflammatory IL-13. In addition, the fluctuations of cytokines induced by medication may provide a hint regarding the prediction of treatment response.
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Affiliation(s)
- Ruizhi Mao
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Chen Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
| | - Jun Chen
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Guoqing Zhao
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychology, Provincial Hospital Affiliated to Shandong University, Jinan, 250021, China
| | - Rubai Zhou
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Fan Wang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Jingjing Xu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Tao Yang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yousong Su
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Jia Huang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Zhiguo Wu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Lan Cao
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yong Wang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yingyan Hu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Chengmei Yuan
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Zhenghui Yi
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Wu Hong
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Zuowei Wang
- Division of Mood Disorders, Hongkou District Mental Health Center of Shanghai, Shanghai, 200083, China
| | - Daihui Peng
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yiru Fang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology, China; Shanghai Key Laboratory of Psychotic Disorders, China.
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Liang D, Mays VM, Hwang WC. Integrated mental health services in China: challenges and planning for the future. Health Policy Plan 2018; 33:107-122. [PMID: 29040516 DOI: 10.1093/heapol/czx137] [Citation(s) in RCA: 149] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2017] [Indexed: 11/12/2022] Open
Abstract
Eager to build an integrated community-based mental health system, in 2004 China started the '686 Programme', whose purpose was to integrate hospital and community services for patients with serious mental illness. In 2015, the National Mental Health Working Plan (2015-2020) proposed an ambitious strategy for implementing this project. The goal of this review is to assess potential opportunities for and barriers to successful implementation of a community-based mental health system that integrates hospital and community mental health services into the general healthcare system. We examine 7066 sources in both English and Chinese: the academic peer-reviewed literature, the grey literature on mental health policies, and documents from government and policymaking agencies. Although China has proposed a number of innovative programmes to address its mental health burden, several of these proposals have yet to be fully activated, particularly those that focus on integrated care. Integrating mental health services into China's general healthcare system holds great promise for increased access to and quality improvement in mental health services, as well as decreased stigma and more effective management of physical and mental health comorbidities. This article examines the challenges to integrating mental health services into China's general healthcare system, especially in the primary care sphere, including: accurately estimating mental health needs, integrating mental and physical healthcare, increasing workforce development and training, resolving interprofessional issues, financing and funding, developing an affordable and sustainable mental health system, and delivering care to specific subpopulations to meet the needs of China's diverse populace. As China's political commitment to expanding its mental health system is rapidly evolving, we offer suggestions for future directions in addressing China's mental health needs.
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Affiliation(s)
- Di Liang
- Department of Health Policy and Management in the UCLA Fielding School of Public Health, 650 Charles Young Dr. S., 31-269 CHS Box 951772, Los Angeles, CA 90095-1772, USA
| | - Vickie M Mays
- Department of Psychology, Department of Health Policy and Management in the UCLA Fielding School of Public Health, and UCLA BRITE Center for Science, Research and Policy, 1285 Franz Hall, Box 951563, Los Angeles, CA 90095-1563, USA
| | - Wei-Chin Hwang
- Department of Psychology, Claremont McKenna College, 850 Columbia Ave, Claremont, CA 91711, USA
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Lu S, Reavley N, Zhou J, Su J, Pan X, Xiang Q, Zhang Y, Oldenburg B, Wu M. Depression among the general adult population in Jiangsu Province of China: prevalence, associated factors and impacts. Soc Psychiatry Psychiatr Epidemiol 2018; 53:1051-1061. [PMID: 30062483 PMCID: PMC6182498 DOI: 10.1007/s00127-018-1568-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 07/24/2018] [Indexed: 12/27/2022]
Abstract
PURPOSE This study aimed to assess the prevalence of depression and to investigate its associated factors and impacts on daily life functioning among the general adult population in Jiangsu Province of China. METHODS As part of the Jiangsu Provincial Survey on Chronic Disease and Behavioural Risk Factors (2010), a sample of 8400 community residents aged ≥ 18 years were recruited. Study data were collected through a questionnaire-administered face-to-face interview. Depression was measured by the Patient Health Questionnaire. RESULTS The estimated prevalence of depression was 0.56% (0.54% in men and 0.58% in women). Increased risk of depression was found to be associated with rural residents (OR 2.24, 95% CI 1.33-3.78) and the comorbidity of chronic diseases (OR 3.83, 95% CI 1.33-11.02). Respondents with depression reported an average of 11.75 unhealthy days caused by physical illnesses and 8.31 unhealthy days by mood problems within the previous 30 days. Depression was also found to be related to worse self-ranked health status, worse relationships with families and lower life satisfaction. CONCLUSIONS A low prevalence of depression was found in this population of China, though it is not clear the extent to which it reflects issues related to the measurement and/or other factors of the survey. Depression was found to be related to poorer health and poorer life functioning. Further research into the link between depression and access to mental health services in rural areas is necessary. Meanwhile, depression among chronic disease patients should be addressed in clinical settings, health plans and resources allocation.
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Affiliation(s)
- Shurong Lu
- 0000 0000 8803 2373grid.198530.6Department of Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009 Jiangsu China ,0000 0001 2179 088Xgrid.1008.9Noncommunicable Disease Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
| | - Nicola Reavley
- 0000 0001 2179 088Xgrid.1008.9Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
| | - Jinyi Zhou
- 0000 0000 8803 2373grid.198530.6Department of Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009 Jiangsu China
| | - Jian Su
- 0000 0000 8803 2373grid.198530.6Department of Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009 Jiangsu China
| | - Xiaoqun Pan
- 0000 0000 8803 2373grid.198530.6Department of Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009 Jiangsu China
| | - Quanyong Xiang
- 0000 0000 8803 2373grid.198530.6Department of Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009 Jiangsu China
| | - Yongqing Zhang
- 0000 0000 8803 2373grid.198530.6Department of Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009 Jiangsu China
| | - Brian Oldenburg
- 0000 0001 2179 088Xgrid.1008.9Noncommunicable Disease Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
| | - Ming Wu
- Department of Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, Jiangsu, China.
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Liu Z, Huang Y, Lv P, Zhang T, Wang H, Li Q, Yan J, Yu Y, Kou C, Xu X, Lu J, Wang Z, Qiu H, Xu Y, He Y, Li T, Guo W, Tian H, Xu G, Xu X, Ma Y, Wang L, Wang L, Yan Y, Wang B, Xiao S, Zhou L, Li L, Tan L, Chen H, Ma C. The China Mental Health Survey: II. Design and field procedures. Soc Psychiatry Psychiatr Epidemiol 2016; 51:1547-1557. [PMID: 27803977 DOI: 10.1007/s00127-016-1269-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 08/01/2016] [Indexed: 02/05/2023]
Abstract
China Mental Health Survey (CMHS), which was carried out from July 2013 to March 2015, was the first national representative community survey of mental disorders and mental health services in China using computer-assisted personal interview (CAPI). Face-to-face interviews were finished in the homes of respondents who were selected from a nationally representative multi-stage disproportionate stratified sampling procedure. Sample selection was integrated with the National Chronic Disease and Risk Factor Surveillance Survey administered by the National Centre for Chronic and Non-communicable Disease Control and Prevention in 2013, which made it possible to obtain both physical and mental health information of Chinese community population. One-stage design of data collection was used in the CMHS to obtain the information of mental disorders, including mood disorders, anxiety disorders, and substance use disorders, while two-stage design was applied for schizophrenia and other psychotic disorders, and dementia. A total of 28,140 respondents finished the survey with 72.9% of the overall response rate. This paper describes the survey mode, fieldwork organization, procedures, and the sample design and weighting of the CMHS. Detailed information is presented on the establishment of a new payment scheme for interviewers, results of the quality control in both stages, and evaluations to the weighting.
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Affiliation(s)
- Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
| | - Ping Lv
- Institute of Social Science Survey, Peking University, Beijing, 100871, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Hong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road Haidian District, Beijing, 100191, China.
| | - Qiang Li
- Institute of Social Science Survey, Peking University, Beijing, 100871, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing, 100871, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Hongyan Qiu
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China
| | - Yifeng Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yanling He
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Tao Li
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Wanjun Guo
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu, 610041, China
| | | | | | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi, 830002, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi, 830002, China
| | - Linhong Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yongping Yan
- Department of Epidemiology, the Fourth Military Medical University, Xi'an, 710032, China
| | - Bo Wang
- Department of Epidemiology, the Fourth Military Medical University, Xi'an, 710032, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, 410078, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, 410078, China
| | - Lingjiang Li
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Liwen Tan
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Hongguang Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
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