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Sun T, Chen G, Jiang W, Xu W, You L, Jiang C, Chen S, Wang D, Zheng X, Yuan Y. Distinguishing bipolar depression, bipolar mania, and major depressive disorder by gut microbial characteristics. Bipolar Disord 2024. [PMID: 38647010 DOI: 10.1111/bdi.13439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
BACKGROUND Gut microbial disturbance has been widely confirmed in mood disorders. However, little is known about whether gut microbial characteristics can distinguish major depressive disorder (MDD), bipolar depression (BP-D), and bipolar mania (BP-M). METHODS This was a prospective case-control study. The composition of gut microbiota was profiled using 16S ribosomal RNA (rRNA) gene sequencing of fecal samples and compared between healthy controls (HC; n = 46), MDD (n = 51), BP-D (n = 44), and patients with BP-M (n = 45). RESULTS Gut microbial compositions were remarkably changed in the patients with MDD, BP-D, and BP-M. Compared to HC, distinct gut microbiome signatures were found in MDD, BP-D, and BP-M, and some gut microbial changes were overlapping between the three mood disorders. Furthermore, we identified a signature of 7 operational taxonomic units (OUT; Prevotellaceae-related OUT22, Prevotellaceae-related OUT31, Prevotellaceae-related OTU770, Ruminococcaceae-related OUT70, Bacteroidaceae-related OTU1536, Propionibacteriaceae-related OTU97, Acidaminococcaceae-related OTU34) that can distinguish patients with MDD from those with BP-D, BP-M, or HC, with area under the curve (AUC) values ranging from 0.910 to 0.996. CONCLUSION Our results provide the clinical rationale for the discriminative diagnosis of MDD, BP-D, and BP-M by characteristic gut microbial features.
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Affiliation(s)
- Taipeng Sun
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
- Department of Medical Psychology, Huai'an Third People's Hospital, Huaian, Jiangsu, China
| | - Gang Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
- Department of Medical Psychology, Huai'an Third People's Hospital, Huaian, Jiangsu, China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Wei Xu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Linlin You
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Chenguang Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Suzhen Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Dan Wang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xiao Zheng
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
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Xu JJ, Zhu XQ, Liu S, Ding LY, Fu BB, Sun CC, Pan YL, Wang W, Zhang L. Sociodemographic, clinical and treatment characteristics of current rapid-cycling bipolar disorder: a multicenter Chinese study. Int J Bipolar Disord 2024; 12:11. [PMID: 38592605 PMCID: PMC11004094 DOI: 10.1186/s40345-024-00332-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/13/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Rapid cycling bipolar disorder (RCBD), characterized by four or more episodes per year, is a complex subtype of bipolar disorder (BD) with poorly understood characteristics. METHOD This multicenter, observational, longitudinal cohort study enrolled 520 BD patients across seven psychiatric institutions in China from January 2013 to January 2014. Participants were divided into RCBD and non-RCBD (NRCBD) groups based on the frequency of mood episodes in the preceding year. Data collection utilized a standardized form, supplemented by a medical record review, focusing on sociodemographic, clinical, and treatment characteristics. Statistical analysis involved independent samples t-tests, Kruskal-Wallis H tests, Chi-square or Fisher's exact tests, with Bonferroni correction applied to account for multiple comparisons, and multivariable logistic regression to identify characteristics associated with RCBD. RESULTS Among the BD cohort, 9.4% were identified as current RCBD. Compared to NRCBD, RCBD patients had a shorter duration from the first psychiatric consultation to the diagnosis of BD, a reduced duration of their longest period of euthymia, a lower proportion of lifetime hospitalization history due to BD, and less use of electroconvulsive therapy (ECT) within the last 12 months. Additionally, they presented higher baseline scores on the Mood Disorder Questionnaire (MDQ) and the Brief 16-item Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR16). However, after applying the Bonferroni correction, these differences were not statistically significant. Multivariable logistic regression analysis identified three factors that were independently associated with RCBD: time from first psychiatric consultation to BD diagnosis (Odds Ratio [OR] = 0.512, P = 0.0416), lifetime hospitalization history due to BD (OR = 0.516, P = 0.0476), and ECT treatment within the past 12 months (OR = 0.293, P = 0.0472). CONCLUSION This study revealed that the duration from first psychiatric consultation to BD diagnosis, lifetime hospitalization history due to BD, and ECT treatment in the past year were associated with RCBD. Recognizing these factors could contribute to enhance the early identification and clinical outcomes of RCBD. Trial Registration Number Registry ClinicalTrials.gov NCT01770704. Date of Registration: First posted on January 18, 2013.
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Affiliation(s)
- Jin-Jie Xu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Xue-Quan Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Shuang Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Lu-Yu Ding
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Bing-Bing Fu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Cong-Cong Sun
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Yan-Li Pan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Wei Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
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Yang S, Zhang YF, Lu SJ, Ye ZQ, Lai JB, Li L, Yang X, Wang DD, Zhang PF, Wu LL, Huang HM, Gao XL, Wu M, Pan YM, Chen YQ, Zhang DH, Geng YM, Zhao QW, Hu SH. Relationship between serum concentration and clinical response of quetiapine in adolescents and adults with bipolar disorders in acute stage: a prospective observational study. J Affect Disord 2023; 324:199-205. [PMID: 36586603 DOI: 10.1016/j.jad.2022.12.107] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 08/30/2022] [Accepted: 12/23/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND It is found that there are great differences in the efficacy of quetiapine at the same dose in many patients with bipolar disorders. Therefore, therapeutic drug monitoring (TDM) is a valuable tool for guiding treatment with quetiapine. The aims of this study were to assess the relationship between serum concentration and clinical response of quetiapine in adolescents and adults with bipolar disorders in acute stage. METHODS The study design was prospective and observational. Within the naturalistic setting of a routine TDM service at the First Affiliated Hospital, Zhejiang University School of Medicine. Psychiatric symptoms were assessed using the HAMD (Hamilton Depression Scale), YRMS (Young manic rating scale) and CUDOS-M (Clinically Useful Depression Outcome Scale-Mixed Subscale). The decline of HAMD and YMRS scores was were used to assess clinical outcome of bipolar disorders respectively. RESULTS 169 inpatients (23.7 % male, 76.3 % female) were enrolled in the study. We found that there was a strong correlation between quetiapine serum concentrations and clinical outcomes (rs = 0.702, p < 0.001). While, quetiapine daily dose was not correlated with clinical outcome. We found that when the quetiapine serum level is >146.85 ng/ml in depression episodes patients could obtain a satisfactory treatment effect after 2 weeks of hospitalization. CONCLUSIONS We found a significant positive relationship between serum concentration and clinical outcome, and also determined the serum concentration of quetiapine for the treatment of bipolar depression.
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Affiliation(s)
- Si Yang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
| | - Yan-Fang Zhang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
| | - Shao-Jia Lu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China
| | - Zi-Qi Ye
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jian-Bo Lai
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China
| | - Lu Li
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Xi Yang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Dan-Dan Wang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China
| | - Pei-Fen Zhang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Ling-Ling Wu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Hui-Min Huang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Xing-Le Gao
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Mian Wu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yan-Meng Pan
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yi-Qing Chen
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Dan-Hua Zhang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yi-Meng Geng
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Qing-Wei Zhao
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
| | - Shao-Hua Hu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China.
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Zhang L, Zhang H, Lv LX, Tan Q, Xu X, Hu J, Zi L, Cooper J, Phansalkar A, Wang G. A randomised, double-blind, placebo-controlled study to evaluate the safety and efficacy of lamotrigine in the maintenance treatment of Chinese adult patients with bipolar I disorder. Int J Bipolar Disord 2022; 10:20. [PMID: 35909213 PMCID: PMC9339436 DOI: 10.1186/s40345-022-00266-4] [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: 10/14/2021] [Accepted: 06/23/2022] [Indexed: 11/10/2022] Open
Abstract
Background Lamotrigine is approved as a maintenance therapy for bipolar I disorder in many countries, including China in 2021. This study evaluated the efficacy and safety of lamotrigine in controlling relapse and/or recurrence of mood episodes in Chinese patients with bipolar I disorder. Methods Patients aged ≥ 18 years with bipolar I disorder who met response criteria (Clinical Global Impression–Severity [CGI-S] score of ≤ 3 for ≥ 4 consecutive weeks) during treatment with lamotrigine in a 6–16 week open-label (OL) phase, and who were maintained for ≥ 1 week on lamotrigine 200 mg/day monotherapy, were randomised (1:1) to continue receiving lamotrigine 200 mg/day or switch to placebo in a 36-week randomised double-blind (RD) phase. The primary efficacy outcome measure was time from entry into the RD phase to intervention for relapse and/or recurrence of a mood episode (TIME). Post hoc analyses assessed the impact of OL baseline mood severity on TIME. Safety assessments were conducted throughout the study. Results Of 420 patients treated in the OL phase, 264 were randomised to receive lamotrigine (n = 131) or placebo (n = 133). Overall, 112 patients had an intervention for relapse and/or recurrence of a mood episode (lamotrigine, n = 50/130 [38.5%]; placebo, n = 62/133 [46.6%]), with no significant difference in TIME between groups (adjusted hazard ratio [95% confidence interval (CI)] 0.93 [0.64, 1.35]; p = 0.701). Post hoc analyses indicated a significant difference in TIME, favouring lamotrigine over placebo, for patients with baseline CGI-S score ≥ 4 (hazard ratio [95% CI] 0.52 [0.30, 0.89]; p = 0.018) and with baseline Hamilton Depression Rating Scale ≥ 18 or Young Mania Rating Scale ≥ 10 (0.44 [hazard ratio [95% CI] 0.25, 0.78]; p = 0.005). Lamotrigine was well tolerated with no new safety signals. Conclusions Lamotrigine was not significantly superior to placebo in preventing relapse and/or recurrence of mood episodes in this study of Chinese patients with bipolar I disorder but post hoc analyses suggested a therapeutic benefit in patients with moderate/severe mood symptoms at baseline. The discrepancy between these findings and the positive findings of the pivotal studies may be attributable to the symptom severity of the bipolar patients recruited, a high dropout rate, and the comparatively short duration of the RD phase rather than race/ethnicity differences. Clinical trial registration ClinicalTrial.gov Identifier NCT01602510; 21st May 2012; https://clinicaltrials.gov/ct2/show/NCT01602510. Supplementary Information The online version contains supplementary material available at 10.1186/s40345-022-00266-4.
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Affiliation(s)
- Ling Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital , Capital Medical University, 100088, Beijing, China
| | - Honggeng Zhang
- Department of Psychiatry, Brains Hospital of Hunan Province, Changsha, China
| | - Lu-Xian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, People's Republic of China
| | - Qingrong Tan
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Jian Hu
- The First Affiliated Hospital of Harbin Medical University, Nangang, Harbin, People's Republic of China
| | - Lu Zi
- GlaxoSmithKline R&D Co., Ltd, Shanghai, China
| | - James Cooper
- GlaxoSmithKline R&D Ltd, Brentford, Middlesex, UK
| | - Abhay Phansalkar
- GlaxoSmithKline India Global Services Private Ltd, Mumbai, India
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital , Capital Medical University, 100088, Beijing, China. .,Advanced Innovation Center for Human Brain Protection , Capital Medical University , 100069, Beijing, China.
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Searle K, Blashki G, Kakuma R, Yang H, Minas H. Listening to the Shenzhen Primary Healthcare Context to Adapt the mhGAP-IG.v2 for the Assessment of Depression: Qualitative Workshops with Primary Healthcare Leaders. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:2570. [PMID: 35270263 PMCID: PMC8909846 DOI: 10.3390/ijerph19052570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/07/2022] [Accepted: 02/12/2022] [Indexed: 02/01/2023]
Abstract
In Shenzhen, despite recent primary and mental healthcare reform, Primary healthcare doctors (PHC) have limited access to diagnostic tools and a significant mental health treatment gap presides. The World Health Organization's (WHO) mental health gap intervention guide (mhGAP-IG.v2) offers a non-specialist and evidence-based guide for the assessment of depression however requires adaptation to the context of use. Bilingual (Mandarin and English) qualitative research was undertaken with 30 PHC leaders from Shenzhen to compare their assessment approach for depression against the mhGAP-IG.v2 in order to identify context-specific modifications for a local guide. Local assessment differentiators included: a need for culturally sensitive translation of depression symptoms; a preference for a broad, non-hierarchical symptom presentation (including somatic, behavioural and anxiety items); national prioritisation of suicide patients; the integration of family into the cycle of care; limited primary care awareness of a depressive episode in Bipolar Disorder; and China's specialist-led diagnostic approach. Contextual modification of mhGAP-IG.v2 is recommended to take account of China's unique cultural and primary health system response to depression. Ongoing mental health training is required to develop professional confidence in the recognition of mental disorders.
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Affiliation(s)
- Kendall Searle
- Global and Cultural Mental Health Unit, Centre for Mental Health, School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010, Australia;
| | - Grant Blashki
- Nossal Institute for Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia;
| | - Ritsuko Kakuma
- Centre for Global Mental Health, London School of Hygiene and Tropical Medicine, London WC1E 7HTE, UK;
| | - Hui Yang
- Monash Institute for Health & Clinical Education, School of Primary Health Care, Monash University, Melbourne, VIC 3168, Australia;
| | - Harry Minas
- Global and Cultural Mental Health Unit, Centre for Mental Health, School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010, Australia;
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Searle K, Blashki G, Kakuma R, Yang H, Lu S, Li B, Xiao Y, Minas H. Adapting the depression component of WHO Mental Health Gap Intervention Guide (mhGAP-IG.v2) for primary care in Shenzhen, China: a DELPHI study. Int J Ment Health Syst 2022; 16:13. [PMID: 35168656 PMCID: PMC8845283 DOI: 10.1186/s13033-022-00523-0] [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: 06/27/2021] [Accepted: 01/13/2022] [Indexed: 12/02/2022] Open
Abstract
Background Primary care doctors in Shenzhen, China are increasingly expected to identify and prevent depressive disorder; however, they have received limited mental health training and community healthcare centres (CHC) do not provide standardised protocols for the diagnosis and care of depressive disorder. The World Health Organization’s mental health gap intervention guide, version 2 (mhGAP-IG.v2) is a decision support tool for non-specialists for the assessment, management and follow-up of mental, neurological and substance use disorders (including depressive disorder). Given that mhGAP-IG.v2 is a generic tool, it requires adaptation to take account of cultural differences in depression presentation and unique characteristics of China’s emergent mental health system. Methods A two-round, web-based, Delphi survey was conducted. A panel of primary care doctors from Shenzhen, were invited to score their level of agreement with 199 statements (arranged across 10 domains) proposing changes to the content and structure of mhGAP-IG.v2 for use in Shenzhen. Consensus was predefined as 80% panelists providing a rating of either “somewhat agree/definitely agree”, or “definitely disagree/somewhat disagree” on a five-point scale for agreement. Results 79% of statements received consensus with a mean score of 4.26 (i.e. “somewhat agree”). Agreed adaptations for mhGAP-IG.v2 included:- an assessment approach which considers a broader spectrum of depression symptoms and reflects the life course of disease; incorporating guidance for screening tool usage; clarifying physicians’ roles and including referral pathways for intersectorial care with strong family involvement; aligning drug treatment with national formularies; stronger emphasis of suicide prevention throughout all sections of the guide; contextualizing health education; reflecting a person-centred approach to care. Panelists chose to maintain diagnostic and treatment advice for bipolar patients experiencing a depressive episode as in the current guide. Conclusions An adapted mhGAP-IG.v2 for depression recognises China’s cultural and contextual needs for assessment guidance; unique primary healthcare system organization, priorities and treatment availability; and diverse psychosocial educational needs. An adapted mhGAP-IG.v2 could both inform the future training programs for primary care in Shenzhen and also offer an additional mental health resource for non-specialists in other countries. Supplementary Information The online version contains supplementary material available at 10.1186/s13033-022-00523-0.
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Affiliation(s)
- Kendall Searle
- Global and Cultural Mental Health Unit, Centre for Mental Health, School of Population and Global Health, University of Melbourne, Parkville, VIC, 3010, Australia.
| | - Grant Blashki
- Nossal Institute for Global Health, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Ritsuko Kakuma
- London School of Hygiene and Tropical Medicine, London, WC1E 7HTE, England, UK
| | - Hui Yang
- Monash Institute for Health and Clinical Education, School of Primary Health Care, Monash University, Notting Hill, VIC, 3168, Australia
| | - Shurong Lu
- Nossal Institute for Global Health, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Baoqi Li
- Shenzhen Guangming Hospital of the University of Chinese Academy of Sciences, Bao'an District, Shenzhen, 518107, China
| | - Yingying Xiao
- Shenzhen Guangming Hospital of the University of Chinese Academy of Sciences, Bao'an District, Shenzhen, 518107, China
| | - Harry Minas
- Global and Cultural Mental Health Unit, Centre for Mental Health, School of Population and Global Health, University of Melbourne, Parkville, VIC, 3010, Australia
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Yi W, Wu H, Li R, Li H, Song Z, She S, Zheng Y. Prevalence and associated factors of obesity and overweight in Chinese patients with bipolar disorder. Front Psychiatry 2022; 13:984829. [PMID: 36147966 PMCID: PMC9485538 DOI: 10.3389/fpsyt.2022.984829] [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: 07/02/2022] [Accepted: 08/01/2022] [Indexed: 11/21/2022] Open
Abstract
OBJECT Despite abundant literature demonstrating a high prevalence of obesity and overweight in people with bipolar disorder (BD), little is known about this topic in China. Therefore, we assessed the prevalence and associated factors of obesity and overweight among inpatients with BD in our hospital, one of the largest public psychiatric hospitals in China. METHODS In this retrospective, cross-sectional study, 1,169 inpatients ≥18 years with BD during 2019 were included. Obesity was defined as having a BMI ≥25 kg/m2, and overweight was defined as having a BMI from 23 kg/m2 to <25 kg/m2. Binary logistic regression analysis was performed to identify factors associated with obesity and overweight. RESULTS The prevalence of obesity and overweight was 21.0% and 32.2% in patients with BD, respectively. Compared to patients with overweight and normal weight, patients with obesity were older, had a longer duration of BD and a longer length of hospital stay, had a higher prevalence of diabetes and hypertension, and had a higher level of all metabolic indices, except for HDL cholesterol. Binary logistic regression analysis showed that duration of BD, uric acid, alanine aminotransferase (ALT), triglyceride, and LDL cholesterol were significantly associated with obesity, and male sex and uric acid level were significantly associated with overweight (p < 0.05). CONCLUSIONS Obesity and overweight were fairly prevalent in Chinese BD patients, and several factors were related to obesity and overweight. The results of the present study call for the need to implement early screening, prevention and interventions for obesity and overweight in patients with BD in China.
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Affiliation(s)
- Wenying Yi
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haibo Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ruikeng Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haijing Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhen Song
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shenglin She
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yingjun Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
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Yang Y, Zhang WY, Zhang Y, Li S, Cheung T, Zhang D, Jackson T, He F, Xiang YT. Structure of Hypomanic Symptoms in Adolescents With Bipolar Disorders: A Network Approach. Front Psychiatry 2022; 13:844699. [PMID: 35509883 PMCID: PMC9058085 DOI: 10.3389/fpsyt.2022.844699] [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: 12/28/2021] [Accepted: 02/24/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Bipolar disorders (BD) are severe mental illnesses that are often misdiagnosed or under-diagnosed. The self-report 33-item Hypomania Checklist (HCL-33) and the 33-item Hypomania Checklist - external assessment (HCL-33-EA) are well-validated scales for BD symptom detection. This study compared the network structure, central symptoms, and network stability of hypomanic symptoms measured by the HCL-33 vs. the HCL-33-EA. METHODS This cross-sectional study was conducted from January to December 2019. Adolescents (aged between 12 and 18 years) with BD were recruited from the outpatient department of Child Psychiatry, First Affiliated Hospital of Zhengzhou University. All participants were asked to complete the HCL-33, and their caregivers completed the HCL-33-EA. Network analyses were conducted. RESULTS A total of 215 adolescents with BD and their family caregivers were recruited. Node HCL17 ("talk more," node strength = 4.044) was the most central symptom in the HCL-33 network, followed by node HCL2 ("more energetic," node strength = 3.822), and HCL18 ("think faster," node strength = 3.801). For the HCL-33-EA network model, node HCL27 ("more optimistic," node strength = 3.867) was the most central node, followed by node HCL18 ("think faster," node strength = 3.077), and HCL17 ("talk more," node strength = 2.998). In the network comparison test, there was no significant difference at the levels of network structure (M = 0.946, P = 0.931), global strength (S: 5.174, P = 0.274), or each specific edge (all P's > 0.05 after Holm-Bonferroni corrections) between HCL-33 and HCL-33-EA items. Network stabilities for both models were acceptable. CONCLUSION The nodes "talk more" and "think faster" acted as central symptoms in BD symptom network models based on the HCL-33 and HCL-33-EA. Although the most prominent central symptom differed between the two models ("talk more" in HCL-33 vs. "more optimistic" in HCL-33-EA model), networks based on each measure were highly similar and underscored similarities in BD symptom relations perceived by adolescents and their caregivers. This research provides foundations for future studies with larger sample sizes toward improving the accuracy and robustness of observed network structures.
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Affiliation(s)
- Yuan Yang
- Guangdong Mental Health Center, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Wu-Yang Zhang
- Department of Pediatric Development and Behavior, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yao Zhang
- Huashan Hospital, Fudan University, Shanghai, China
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Dexing Zhang
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China
| | - Todd Jackson
- Department of Psychology, University of Macau, Taipa, Macao SAR, China
| | - Fan He
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and Advanced Innovation Center for Human Brain Protection, School of Mental Health, Capital Medical University, Beijing, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China.,Center for Cognition and Brain Sciences, University of Macau, Taipa, Macao SAR, China.,Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Taipa, Macao SAR, China
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9
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Liu ZH, Jin Y, Rao WW, Zhang Q, Zhang J, Jackson T, Su Z, Xiang YT. The prevalence of painful physical symptoms in major depressive disorder: A systematic review and meta-analysis of observational studies. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110372. [PMID: 34098042 DOI: 10.1016/j.pnpbp.2021.110372] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 03/17/2021] [Accepted: 05/31/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Painful physical symptoms (PPS) are common in patients with major depressive disorder (MDD), but their prevalence has been mixed. This is a systematic review and meta-analysis of the pooled prevalence of PPS in MDD patients. METHODS Systematic literature searches were independently conducted in major databases (PubMed, EMBASE, PsycINFO and Web of Science). Data analyses were conducted using a random-effects model. RESULTS A total of 20 studies with 53,852 patients were included. The overall prevalence of PPS in MDD patients was 55.2% (95%CI: 47.9-62.3%), with a point prevalence of 64.2% (95%CI: 53.2-73.8%) and a 12-month prevalence of 57.0% (95%CI: 23.9-84.8%). No significant publication bias was found in this meta-analysis. CONCLUSION PPS are common in MDD patients. Considering the negative impact of PPS on daily functioning, effective preventive measures and routine screening should be conducted for MDD patients, and timely treatments should be offered to those in need. Registration number: CRD42020179471.
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Affiliation(s)
- Zi-Han Liu
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China
| | - Yu Jin
- College of Education for the Future, Beijing Normal University, China
| | - Wen-Wang Rao
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China
| | - Qinge Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Juan Zhang
- Faculty of Education, University of Macau, Macao SAR, China
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao SAR, China
| | - Zhaohui Su
- Center on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, UT Health San Antonio, San Antonio, TX, USA
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China.
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10
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Bipolar disorder: An evolutionary psychoneuroimmunological approach. Neurosci Biobehav Rev 2021; 122:28-37. [PMID: 33421542 DOI: 10.1016/j.neubiorev.2020.12.031] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 12/19/2020] [Accepted: 12/27/2020] [Indexed: 12/19/2022]
Abstract
Bipolar disorder is a mental health disorder characterized by extreme shifts in mood, high suicide rate, sleep problems, and dysfunction of psychological traits like self-esteem (feeling inferior when depressed and superior when manic). Bipolar disorder is rare among populations that have not adopted contemporary Western lifestyles, which supports the hypothesis that bipolar disorder results from a mismatch between Homo sapiens's evolutionary and current environments. Recent studies have connected bipolar disorder with low-grade inflammation, the malfunctioning of the internal clock, and the resulting sleep disturbances. Stress is often a triggering factor for mania and sleep problems, but stress also causes low-grade inflammation. Since inflammation desynchronizes the internal clock, chronic stress and inflammation are the primary biological mechanisms behind bipolar disorder. Chronic stress and inflammation are driven by contemporary Western lifestyles, including stressful social environments, unhealthy dietary patterns, limited physical activity, and obesity. The treatment of bipolar disorder should focus on reducing stress, stress sensitivity, and inflammation by lifestyle changes rather than just temporarily alleviating symptoms with psychopharmacological interventions.
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11
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Wang YY, Feng Y, Fang M, Guo C, Ungvari GS, Hall BJ, Wang G, Xiang YT. Comparing Screening Abilities of the 33-Item Hypomania Checklist (HCL-33) and the 33-Item Hypomania Checklist External Assessment (HCL-33-EA) for the Detection of Bipolar Disorder. Front Psychiatry 2021; 12:518722. [PMID: 34239453 PMCID: PMC8257931 DOI: 10.3389/fpsyt.2021.518722] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 05/20/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Bipolar disorder (BD) is a severe psychiatric disorder that is often misdiagnosed and under-diagnosed in clinical settings. The 33-item Hypomania Checklist (HCL-33) is a newly developed self-administered scale for BD detection, while the 33-item Hypomania Checklist-external assessment (HCL-33-EA) is a version of the HCL-33 for external rating used by patient's carer (e.g., family member or friend). We aimed to compare the screening abilities between the HCL-33 and the HCL-33-EA, and evaluate the screening consistency between the two scales. Methods: The data were collected from 269 patients with diagnosed BD (n = 84) or major depressive disorder (MDD) (n = 185). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) between the HCL-33 and the HCL-33-EA for BD were compared against clinician diagnosis as the gold standard. Results: Using Youden's index, the optimal cut-off value of the HCL-33 is 20, while the corresponding figure for HCL-33-EA is 11. Using Youden's index, the HCL-33-EA showed a better performance than the HCL-33 (0.51 vs.0.41). The HCL-33-EA was more sensitive in correctly identifying BD patients from MDD patients than the HCL-33 (0.83 vs. 0.59), while the HCL-33 presented better specificity than the HCL-33-EA (0.82 vs. 0.68). There was significant screening consistency between the two scales (p < 0.001). Conclusions: Both scales have acceptable psychometric properties in detection BD from MDD. Use of the two scales should be considered based on the assessment purpose in clinical research or daily practice (i.e., prefer sensitivity or specificity). Noticeably, the current sample size is insufficient and future studies are recommended to further evaluate the scales.
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Affiliation(s)
- Yuan-Yuan Wang
- Division of Psychology, Faculty of Health and Life Sciences, De Montfort University, Leicester, United Kingdom
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Meng Fang
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chengwei Guo
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Gabor S Ungvari
- University of Notre Dame Australia, Fremantle, WA, Australia.,Division of Psychiatry, School of Medicine, University of Western Australia/Graylands Hospital, Perth, WA, Australia
| | - Brian J Hall
- New York University Shanghai, Shanghai, China.,School of Global Public Health, New York University, New York, NY, United States
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, China.,Centre for Cognitive and Brain Sciences, University of Macau, Macao, China.,Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao, China
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12
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Su IJ, Liu H, Li A, Chen JF. Investigation into the psychological resilience of family caregivers burdened with in-home treatment of patients with bipolar disorder. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2021. [DOI: 10.1016/j.jadr.2020.100059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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13
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Affiliation(s)
- Andre F Carvalho
- From the Department of Psychiatry, University of Toronto, and the Centre for Addiction and Mental Health, Toronto (A.F.C.); the IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC (A.F.C.), and the NICM Health Research Institute, Western Sydney University, Westmead, NSW (J.F.) - both in Australia; the Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, United Kingdom (J.F.); and the Psychiatry and Psychology Department of the Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS (August Pi i Sunyer Biomedical Research Institute), and CIBERSAM (Biomedical Research Networking Center for Mental Health Network), Barcelona (E.V.)
| | - Joseph Firth
- From the Department of Psychiatry, University of Toronto, and the Centre for Addiction and Mental Health, Toronto (A.F.C.); the IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC (A.F.C.), and the NICM Health Research Institute, Western Sydney University, Westmead, NSW (J.F.) - both in Australia; the Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, United Kingdom (J.F.); and the Psychiatry and Psychology Department of the Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS (August Pi i Sunyer Biomedical Research Institute), and CIBERSAM (Biomedical Research Networking Center for Mental Health Network), Barcelona (E.V.)
| | - Eduard Vieta
- From the Department of Psychiatry, University of Toronto, and the Centre for Addiction and Mental Health, Toronto (A.F.C.); the IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC (A.F.C.), and the NICM Health Research Institute, Western Sydney University, Westmead, NSW (J.F.) - both in Australia; the Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, United Kingdom (J.F.); and the Psychiatry and Psychology Department of the Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS (August Pi i Sunyer Biomedical Research Institute), and CIBERSAM (Biomedical Research Networking Center for Mental Health Network), Barcelona (E.V.)
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14
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Huilei X, Siyu C, Jianghua X, Jidong R, Yi R. Clinical utility of pharmacogenetic testing in the treatment of bipolar disorder of Chinese patients. Pharmacogenomics 2020; 21:761-770. [PMID: 32597302 DOI: 10.2217/pgs-2020-0050] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Aim: The purpose of this study was to evaluate the clinical utility of pharmacogenetic (PGx) testing in the treatment of bipolar disorder in the Chinese population. Patients & methods: Compare efficacy and side effects, measured by the Clinical Global Impression Efficacy Index scale (CGI-EI), of PGx-guided treatment (n = 100) to that of the traditional treatment (n = 100). Results: Compared with the traditional treatment, PGx-guided treatment reduced the number of medications used for patients, also achieving better efficacy at 4, 8 and 12 weeks. In the analysis of side effects, the PGx-guided group significantly reduced the side effects. Conclusion: Our study suggests that PGx testing results-guided treatment is superior to the traditional treatment of bipolar disorder in the Chinese population.
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Affiliation(s)
- Xu Huilei
- Nanchong Psychosomatic Hospital, Nanchong, 637700, China
| | - Chen Siyu
- Nanchong Psychosomatic Hospital, Nanchong, 637700, China
| | - Xu Jianghua
- Nanchong Psychosomatic Hospital, Nanchong, 637700, China
| | - Ren Jidong
- Nanchong Psychosomatic Hospital, Nanchong, 637700, China
| | - Ren Yi
- Nanchong Psychosomatic Hospital, Nanchong, 637700, China
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15
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Zhang YS, Rao WW, Zeng LN, Lok GKI, Cui LJ, Li JF, Li L, Ungvari GS, Hall BJ, Li KQ, Xiang YT. Prevalence and correlates of bipolar disorder in the adult population of Hebei province, China. J Affect Disord 2020; 263:129-133. [PMID: 31818768 DOI: 10.1016/j.jad.2019.11.104] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 10/04/2019] [Accepted: 11/21/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Few studies have estimated the prevalence and correlates of bipolar disorder (BP) in agricultural areas of China. This study examined the one-month and lifetime prevalence of BP, its subtypes and socio-demographic factors in the adult population of Hebei province, a predominantly agricultural area of China. METHODS A multistage, stratified, cluster random sampling method was used to estimate the prevalence and correlates of BP in adults in Hebei province, China. The expanded version of the 12-item General Health Questionnaire (GHQ-12) and the Structured Clinical Interview for DSM-IV Axis I Disorders-Patient Edition (SCID-I/P/C) were administered to establish the diagnosis of BP. RESULTS A total of 20,884 participants were screened. The weighted lifetime prevalence of BP, BP type I (BP-I), type II (BP-II), and BP not otherwise specified (BP-NOS) were 0.20% (95% CI: 0.14-0.26%), 0.13% (95% CI: 0.08-0.18%), 0.03% (95% CI: 0.009-0.06%) and 0.03% (95% CI: 0.009-0.06%), respectively. The weighted one-month prevalence estimates were 0.12% (95% CI: 0.08-0.17%) for BP, 0.07% (95% CI: 0.04-0.11%) for BP-I, 0.03% (95% CI: 0.006-0.05%) for BP-II, and 0.02% (95% CI: 0.003-0.04%) for BP-NOS. Multiple Poisson regression analysis revealed that positive family history of any psychiatric disorder (P<0.001, OR=6.48, 95% CI: 2.53-16.56) was significantly associated with greater risk of BP. CONCLUSION The prevalence of BP in Hebei province appears lower than in most areas of China and other countries. Continued surveillance of BP in China along with the development of primary and tertiary preventative interventions for psychiatric disorders is indicated.
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Affiliation(s)
- Yun-Shu Zhang
- Department of Sleep Medicine, Hebei Mental Health Centre, Hebei province, China
| | - Wen-Wang Rao
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China
| | - Liang-Nan Zeng
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China; Department of Neurosurgery, Affiliated Hospital of Southwest Medical University, Sichuan, China
| | - Grace K I Lok
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China; Kiang Wu Nursing College of Macau, Macau SAR, China
| | - Li-Jun Cui
- Department of Sleep Medicine, Hebei Mental Health Centre, Hebei province, China
| | - Jian-Feng Li
- Department of Sleep Medicine, Hebei Mental Health Centre, Hebei province, China
| | - Lin Li
- Department of Sleep Medicine, Hebei Mental Health Centre, Hebei province, China
| | - Gabor S Ungvari
- Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia; University of Notre Dame Australia, Fremantle, Australia
| | - Brian J Hall
- Department of Psychology, University of Macau SAR, China
| | - Ke-Qing Li
- Department of Sleep Medicine, Hebei Mental Health Centre, Hebei province, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China.
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16
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Wang YY, Xu DD, Feng Y, Chow IHI, Ng CH, Ungvari GS, Wang G, Xiang YT. Short versions of the 32-item Hypomania Checklist: A systematic review. Perspect Psychiatr Care 2020; 56:102-111. [PMID: 31066059 DOI: 10.1111/ppc.12388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 04/04/2019] [Accepted: 04/12/2019] [Indexed: 01/12/2023] Open
Abstract
PURPOSE Bipolar disorder (BD) is frequently misdiagnosed, which can lead to negative outcomes. The 32-item Hypomania Checklist (HCL-32) is one of the most widely used self-reported screening instruments for hypomanic symptoms, which has several short versions. This systematic review examined the psychometric properties of HCL-32 short versions. DESIGN AND METHODS Five international databases were systematically and independently searched by two researchers for studies that developed the HCL short versions. Basic demographic and clinical characteristics and the psychometric properties of the HCL short versions were recorded. FINDINGS Eighteen studies were identified. The majority of the HCL short versions showed satisfactory to good psychometric properties. PRACTICE IMPLICATIONS Validated HCL short versions with satisfactory psychometric properties may be helpful in screening for BD.
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Affiliation(s)
- Yuan-Yuan Wang
- Division of Psychology, Faculty of Health and Life Sciences, De Montfort University, Leicester, United Kingdom.,Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Dan-Dan Xu
- School of Food Engineering, Faculty of Science, Harbin University, Heilongjiang, China
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ines H I Chow
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Chee H Ng
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Gabor S Ungvari
- Division of Psychiatry, University of Notre Dame Australia/Graylands Hospital, Perth, Australia.,Division of Psychiatry, University of Western Australia, Perth, Australia
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
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17
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Zhang X, Zhao M, Li J, Shi L, Xu X, Dai Q, Zhang Y, Liu H, Liu W, Zhang X, Li K, Shi Z, Lin CY. Associations between family cohesion, adaptability, and functioning of patients with bipolar disorder with clinical syndromes in Hebei, China. J Int Med Res 2019; 47:6004-6015. [PMID: 31631724 PMCID: PMC7045660 DOI: 10.1177/0300060519877030] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objective We aimed to investigate the symptoms of inpatients with bipolar disorder (BD) in different types of families, and to explore the correlations between family coherence, family adaptability, and family functioning among inpatients with BD. Methods Inpatients with BD in Hebei, China (n = 61; mean age = 33.85±10.54; 39 males) participated in this study. Participants’ symptoms were evaluated using the Bech–Rafaelsen Mania Scale (BRMS) and Hamilton Depression Rating Scale (HDRS) at weeks 1, 4, and 8 after their admission to the hospital. Participants’ family type was assessed using the Family Adaptability and Cohesion Scale II–Chinese Version. Family functioning was assessed using Family Assessment Device. Results Participants were classified into three family types: balanced (n = 13), mid-range (n = 28), and extreme (n = 20). BRMS scores improved over time in patients from all three family types. Improvement was slightly better with the balanced than the extreme family type. HDRS scores showed an improving trend over time, although this was not significant. Family coherence, adaptability, and functioning were mutually correlated. Conclusion The family system and family functioning are important factors that clinicians should keep in mind when treating people with BD.
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Affiliation(s)
| | | | - Jing Li
- Hebei Mental Health Center, Hebei, China
| | - Ling Shi
- Hebei Mental Health Center, Hebei, China
| | - Xiafei Xu
- Hebei Mental Health Center, Hebei, China
| | - Qian Dai
- Hebei Mental Health Center, Hebei, China
| | | | - Huilan Liu
- Hebei Mental Health Center, Hebei, China
| | - Wei Liu
- Hebei Mental Health Center, Hebei, China
| | | | - Keqing Li
- Hebei Mental Health Center, Hebei, China
| | - Zhanbiao Shi
- Institute of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Chung-Ying Lin
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
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18
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Wang YY, Feng Y, Wang F, Huang W, Ng CH, Ungvari GS, Wang G, Xiang YT. Comparing two short versions of the 32-item Hypomania Checklist (HCL-32) for patients with bipolar disorder. Perspect Psychiatr Care 2019; 55:396-400. [PMID: 30456867 DOI: 10.1111/ppc.12323] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 06/17/2018] [Accepted: 08/07/2018] [Indexed: 11/26/2022] Open
Abstract
PURPOSE To compare the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) between Hypomania Checklist-20 (HCL-20) and HCL-16. DESIGN AND METHODS Altogether, 350 subjects with bipolar disorders (BD) or major depressive disorders (MDD) were included. The sensitivity, specificity, PPV, NPV, and area under the curve between the HCL-20 and the HCL-16 for BD and its subtypes were compared. FINDINGS The HCL-16 demonstrated superior performance in terms of sensitivity + specificity than HCL-20. For discriminating BD and BD-I patients from MDD patients, HCL-16 showed better sensitivity than HCL-20, while HCL-20 showed better specificity than HCL-16. PRACTICE IMPLICATIONS Our results showed that both HCL-20 and HCL-16 have a fair screening ability, but HCL-16 showed a relatively superior performance considering its length.
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Affiliation(s)
- Yuan-Yuan Wang
- Faculty of Health and Life Sciences, De Montfort University, Leicester, United Kingdom.,Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Fei Wang
- Guangdong Mental Health Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Wei Huang
- Shenzhen Key Laboratory for Psychological Healthcare & Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital & Shenzhen Mental Health Center, Shenzhen, China
| | - Chee H Ng
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Gabor S Ungvari
- Department of Psychiatry, University of Notre Dame Australia/Graylands Hospital, Perth, Australia.,Division of Psychiatry, University of Western Australia Medical School, Perth, Australia
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China
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Song M, Wang L, Zhao XC, Li N, Wang R, Gao YY, Yu LL, An CX, Wang XY. The prevalence and risk of DSM-IV axis I disorder in adults with early-life earthquake stress: A cross-sectional study. Int J Dev Neurosci 2019; 76:65-71. [PMID: 31229525 DOI: 10.1016/j.ijdevneu.2019.06.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 05/22/2019] [Accepted: 06/18/2019] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVES Tangshan earthquake which had a magnitude of 7.8 killed approximately 250,000 people in China in 1976. In the present study, we sought to determine the prevalence and risks of mental disorders in adults who experienced earthquake as an infant or in the prenatal period. METHODS This cross-sectional cohort study recruited participants based on the urban resident registry of Tangshan, Hebei province, 2013 using a multistage stratified cluster sampling method with selection probabilities proportional to size. We recruited subjects who were born between July 29, 1975 and April 28, 1978 that was one year before and 1.9 years after the occurrence of Tangshan Earthquake, respectively. Current psychiatric diagnoses and lifetime psychiatric diagnoses were obtained through the Structured Clinical Interview for DSM-IV Axis I Disorders Patient Research Version. Unconditional logistic regression analysis was performed to analyze risk factors of mental disorders. RESULTS Totally1380 subjects were included with 392 subjects exposed to the earthquake in the fetal period, 399 subjects who experienced the earthquake during their infancy, and 589 subjects who had no exposure to the earthquake. Twenty-one (2.7%; current 1.9%) subjects exposed to earthquake were diagnosed with major depressive disorderversus 2.3% (current 1.5%) in the non-exposure group. Five (0.6%; current 0.6%) subjects with exposure to earthquake had bipolar disorder versus 0.9% in the non-exposure group.Thirteen (1.6%; current 1.6%) subjects with exposure to earthquake had schizophreniaversus 0.2% in the non-exposure group (P=0.006). Furthermore, 5.2% (current 3.7%) subjects with exposure to earthquake had anxiety disorders versus 5.7% (current 3.9%) in the non-exposure group. Moreover, 8.1% (current 7.0%)subjects with exposure to earthquake had alcohol use disorders versus 7.1% (current 5.3%) in the non-exposure group. Furthermore, the prevalence of schizophrenia of the prenatal exposure group (2.3%) was significantly higher than the other two groups (χ2 = 10.273, P = 0.006); however, no statistically significant difference was found in the current and lifetime prevalence of other DSM-IV axis I disorders among the three groups (P > 0.05). Our multivariate regression analysis showed that prenatal earthquake stress exposure was not a significant risk of any of the lifetime or current DSD-IV axis I disorders. CONCLUSION Adults who were exposed to earthquake in the prenatal period had a significantly higher rate of schizophrenia than those who were not exposed or who experienced earthquake in their infancy. No statistically significant difference was found in the current and lifetime prevalence of other DSM-IV axis I disorders between those exposed and those not exposed to earthquake. Furthermore, prenatal earthquake stress exposure was not a significant risk of any of the lifetime or current DSD-IV axis I disorders.
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Affiliation(s)
- Mei Song
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
| | - Lan Wang
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
| | - Xiao-Chuan Zhao
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
| | - Na Li
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
| | - Ran Wang
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
| | - Yuan-Yuan Gao
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
| | - Lu-Lu Yu
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
| | - Cui-Xia An
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
| | - Xue-Yi Wang
- Department of Psychiatry, First Hospital of Hebei Medical University, Mental Health Institute of the Hebei Medical University, Shijiazhuang, China
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20
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TP53 Polymorphism Contributes to the Susceptibility to Bipolar Disorder but Not to Schizophrenia in the Chinese Han Population. J Mol Neurosci 2019; 68:679-687. [DOI: 10.1007/s12031-019-01330-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 04/25/2019] [Indexed: 12/15/2022]
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21
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Fang M, Wang YY, Feng Y, Ungvari GS, Ng CH, Wang G, Xiang YT, Angst J. Exploration of the psychometric properties of the 33-item Hypomania Checklist - external assessment (HCL-33-EA). J Affect Disord 2019; 245:987-990. [PMID: 30699884 DOI: 10.1016/j.jad.2018.11.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 09/30/2018] [Accepted: 11/03/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Misdiagnosis of bipolar disorder (BD) is common in clinical practice, leading to inappropriate treatment and detrimental consequences. The 33-item Hypomania Checklist (HCL-33) is a newly developed screening instrument for hypomanic symptoms in patients with BD. The 33-item Hypomania Checklist-external assessment (HCL-33-EA) is a version of the HCL-33 for carers of patients with mood disorders. In this study, the psychometric properties of the HCL-33-EA in a Chinese population were explored. METHOD A total of 182 inpatients and 240 carers were recruited in this study. Patients were diagnosed with bipolar depression or major depressive disorder (MDD) according to the International Classification of Diseases (ICD-10). The patients completed the HCL-33, while their carers filled out the HCL-33-EA. RESULTS The HCL-33-EA showed high internal consistency (Cronbach's alpha = 0.876) with two-factorial dimensions. Paired samples t-test revealed that the mean score of the HCL-33-EA was significantly lower than that of the HCL-33 (t = 10.1, p < 0.001). Spearman's rho showed that the two instruments were significantly and positively correlated (r = 0.46, p < 0.001). CONCLUSION The HCL-33-EA has acceptable psychometric properties and could be an effective screening tool for patients' carers, enabling identification of the symptoms of hypomania.
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Affiliation(s)
- Meng Fang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Yuan-Yuan Wang
- Faculty of Health and Life Sciences, De Montfort University, Leicester, United Kingdom
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Gabor S Ungvari
- The University of Notre Dame Australia, Perth, Australia; Division of Psychiatry, University of Western Australia Medical School, Perth, Australia
| | - Chee H Ng
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China.
| | - Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Lenggstrasse 31, P.O. Box 1931, Zurich 8032, Switzerland
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22
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Xu YY, Xia QH, Liang J, Cao Y, Shan F, Liu Y, Yan CY, Xia QR. Factors related to lithium blood concentrations in Chinese Han patients with bipolar disorder. Neuropsychiatr Dis Treat 2019; 15:1929-1937. [PMID: 31371966 PMCID: PMC6628605 DOI: 10.2147/ndt.s205780] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Accepted: 06/17/2019] [Indexed: 11/23/2022] Open
Abstract
Background: The goal of this study was to identify the physiological factors related to the blood concentration of lithium in Chinese Han patients with bipolar disorder (BD). Materials and methods: A total of 186 Chinese Han patients with BD were assessed. Patients were recruited from the Anhui Mental Health Center. The concentrations of serum lithium were measured by a Dimension RxL Max biochemistry analyzer. Physiological factors, including body weight, body mass index (BMI), and routine laboratory parameters, were collected. Relationships between the serum lithium concentration and relevant clinical data were analyzed by Pearson correlation tests, and the independent relationships were determined by multivariate linear regression analysis. Results: Pearson correlation analysis showed that serum lithium concentrations were positively correlated with creatinine concentrations (r=0.147, P=0.046), Mg2+ concentrations (r=0.151, P=0.04), and the percentage of neutrophils (r=0.178, P=0.015) and negatively correlated with high-density lipoprotein (HDL) concentrations (r=-0.142, P=0.05), apolipoprotein A1 concentrations (r=-0.169, P=0.02), and Na+ concentrations (r=-0.148, P=0.046) in 186 patients with BD. Furthermore, multivariate linear regression analysis showed that serum lithium concentrations were negatively associated with Na+ concentrations and positively associated with the percentage of neutrophils. Conclusion: These results suggest that physiological factors, including creatinine, HDL, apolipoprotein A1, Na+, and Mg2+ concentrations and percentage of neutrophils, might be related to serum lithium concentrations and provide a basis for parameter selection of lithium population pharmacokinetics in Chinese Han patients with BD.
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Affiliation(s)
- Ya-Yun Xu
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei 230000, People's Republic of China.,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei 230000, People's Republic of China
| | - Qian-Hui Xia
- School of Pharmacy, Wannan Medical College, Wuhu 241002, People's Republic of China
| | - Jun Liang
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei 230000, People's Republic of China.,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei 230000, People's Republic of China
| | - Yin Cao
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei 230000, People's Republic of China.,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei 230000, People's Republic of China
| | - Feng Shan
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei 230000, People's Republic of China.,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei 230000, People's Republic of China
| | - Yang Liu
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei 230000, People's Republic of China.,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei 230000, People's Republic of China
| | - Chun-Yu Yan
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei 230000, People's Republic of China.,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei 230000, People's Republic of China
| | - Qing-Rong Xia
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei 230000, People's Republic of China.,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei 230000, People's Republic of China
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23
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Wang F, Zhang QE, Zhang L, Ng CH, Ungvari GS, Yuan Z, Zhang J, Zhang L, Xiang YT. Prevalence of major depressive disorder in older adults in China: A systematic review and meta-analysis. J Affect Disord 2018; 241:297-304. [PMID: 30142588 DOI: 10.1016/j.jad.2018.07.061] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 06/15/2018] [Accepted: 07/22/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND The prevalence of major depressive disorder (MDD) in Chinese older adults in epidemiological surveys have been inconsistent. We thus conducted a systematic review and meta-analysis of the pooled prevalence of MDD in older adults in China. METHODS Two investigators independently conducted a systematic literature search in English (PubMed, EMBASE, PsycINFO and Cochrane Library) and Chinese (CNKI, Sinomed and Wan Fang) databases. Studies reporting the prevalence of MDD in older adults in China using diagnostic instruments were identified and analyzed using the Comprehensive Meta-Analysis program. RESULTS A total of 28 studies with 76,432 subjects were included. The mean age ranged from 62.1 to 74.1 years. The point prevalence of MDD in older adults was 2.7% (95% CI: 2.1%-3.4%), 12-month prevalence was 2.3% (95% CI: 0.6%-8.5%), and lifetime prevalence was 2.8% (95% CI: 1.8%-4.4%). Subgroup analyses revealed significant differences in the prevalence of MDD across regions. CONCLUSION The prevalence of MDD in older adults varied across different regions in China. Further epidemiological studies and service planning should take into account such differences.
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Affiliation(s)
- Fei Wang
- Guangdong Mental Health Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangdong Province, China
| | - Qing-E Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Ling Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Chee H Ng
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Gabor S Ungvari
- University of Notre Dame Australia & Graylands Hospital, Perth, Australia; Division of Psychiatry, University of Western Australia Medical School, Perth, Australia
| | - Zhen Yuan
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - June Zhang
- School of Nursing, Sun Yat-sen University, Guangzhou, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China.
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24
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Rs7219 Regulates the Expression of GRB2 by Affecting miR-1288-Mediated Inhibition and Contributes to the Risk of Schizophrenia in the Chinese Han Population. Cell Mol Neurobiol 2018; 39:137-147. [PMID: 30474799 DOI: 10.1007/s10571-018-0639-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 11/16/2018] [Indexed: 01/04/2023]
Abstract
In the present study, we examined a potential genetic association between the variant rs7219 within the 3'-UTR of GRB2 and the susceptibility to schizophrenia (SCZ) and bipolar disorder (BD) in the Chinese Han population. A genetic association study, including 548 SCZ patients, 512 BD patients, and 598 normal controls, was conducted in the Chinese Han population. Genotyping was performed through the Sequenom MassARRAY technology platform. The expression of GRB2 was detected using quantitative real-time polymerase chain reaction (qRT-PCR). A dual-luciferase reporter assay was performed to determine whether miR-1288 could bind to the 3'-UTR region of GRB2 containing rs7219. We found that rs7219 was significantly associated with the susceptibility to SCZ under different genetic models, including additive [OR (95% CI) = 1.24 (1.02-1.49), P = 0.027], dominant [OR (95% CI) = 1.31 (1.04-1.66), P = 0.025], and allelic models[OR (95% CI) = 1.24 (1.03-1.49), P = 0.027]. However, no significant associations were found between rs7219 and the risk for BD (all P > 0.05). Moreover, we observed that the expression of GRB2 significantly decreased in SCZ patients compared with the controls (P = 0.004). The dual-luciferase reporter assay showed that the minor allele C of rs7219 significantly decreased the luciferase activity by binding miR-1288 (P < 0.001). In summary, we are the first to reveal that rs7219 is significantly associated with the susceptibility to SCZ in the Chinese Han population. Moreover, the minor allele C of rs7219 is identified as a risk allele for SCZ because it generates a binding site for miR-1288, thereby resulting in decreased expression of GRB2 and ultimately increasing the risk of SCZ.
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25
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Psychometric properties of the Chinese version of the Functioning Assessment Short Test (FAST) in bipolar disorder. J Affect Disord 2018; 238:156-160. [PMID: 29883937 DOI: 10.1016/j.jad.2018.05.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 04/08/2018] [Accepted: 05/15/2018] [Indexed: 11/21/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) is often associated with significant functional impairment. However, there is currently no valid and reliable instrument for this variable that is both brief and easy to administer in China. We thus aimed to evaluate the psychometric properties of the Chinese version of the Functioning Assessment Short Test (FAST) in Chinese adults with BD. METHODS In this sample of adult subjects, 176 with BD and 53 healthy controls were included. The Chinese version of the FAST, the Young Mania Rating Scale (YMRS), the 17-item Hamilton Depression Rating Scale (HDRS-17) and the Global Assessment Functioning (GAF) were administered, and the psychometric analysis of the FAST was conducted. RESULTS The internal consistency (Cronbach's alpha) was 0.89 and 0.88 for the FAST at the baseline and week 1, respectively. Four domains (occupational functioning, cognitive functioning, interpersonal relationship and financial issues) at baseline had high item-total correlations. The FAST assessments at baseline and week 1 were highly correlated, indicating high test-retest reliability. The FAST total score was strongly associated with GAF total scores at week 0 (r = -0.952, p < 0.001), HDRS (r = 0.575, p < 0.001) and YRMS (r = 0.394, p < 0.001) and at week 1 (r = -0.945, p < 0.001; r = 0.582, p < 0.001; r = 0.363, p < 0.001), respectively, suggesting high concurrent validity. The FAST showed four dimensional measurement properties in exploratory factor analysis at baseline. CONCLUSIONS The Chinese version of the FAST has satisfactory psychometric properties in terms of validity and reliability in Chinese adults with BD.
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Huang J, Yuan CM, Xu XR, Wang Y, Hong W, Wang ZW, Su YS, Hu YY, Cao L, Wang Y, Chen J, Fang YR. The relationship between lifestyle factors and clinical symptoms of bipolar disorder patients in a Chinese population. Psychiatry Res 2018; 266:97-102. [PMID: 29857293 DOI: 10.1016/j.psychres.2018.04.059] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 03/07/2018] [Accepted: 04/22/2018] [Indexed: 01/04/2023]
Abstract
There is evidence that bipolar disorder (BD) patients with an unhealthy lifestyle have a worse course of illness. This study was designed to examine the extent to which lifestyle could influence the severity of clinical symptoms associated with BD. A total of 113 BD patients were recruited in this study. The lifestyle information including data on dietary patterns, physical activity, and sleep quality were collected using a self-rated questionnaire. The results showed that the consumption of whole grain, seafood, and dairy products were significantly negatively correlated with the 17-item Hamilton Rating Scale for Depression (HAMD-17) total score. The consumption of sugar, soft drinks, and alcohol as well as being a current smoker were positively correlated with the severity of clinical symptoms. Multiple linear regression and binary logistic regression analyses demonstrated an independent negative correlation between both whole grain and dairy product consumption with the HAMD-17 score. The results from the current study suggested that lifestyle factors, especially dietary patterns, might be associated with clinical symptoms of BD. The association between the consumption of specific foods and severity of depressive symptoms may offer some useful information and further understanding of the role of lifestyle factors in the development of BD.
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Affiliation(s)
- Jia Huang
- Department of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, PR China
| | - Cheng Mei Yuan
- First Department of General Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Xian Rong Xu
- Department of Prevention Medicine, School of Medicine, Hangzhou Normal University, 16 Xue Lin Road, Hangzhou, PR China
| | - Yong Wang
- Department of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, PR China
| | - Wu Hong
- Department of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, PR China
| | - Zuo Wei Wang
- Division of Mood Disorders, Hongkou District Mental Health Center of Shanghai, Shanghai 200083, PR China
| | - You Song Su
- Department of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, PR China
| | - Ying Yan Hu
- Department of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, PR China
| | - Lan Cao
- Department of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, PR China
| | - Yu Wang
- Division of Mood Disorders, Hongkou District Mental Health Center of Shanghai, Shanghai 200083, PR China
| | - Jun Chen
- Department of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, PR China.
| | - Yi Ru Fang
- Department of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, PR China; State Key Laboratory of Neuroscience, Shanghai Institute for Biological Sciences, CAS, 320 Yue Yang Road Shanghai, 200031 PR China; Shanghai Key Laboratory of Psychotic Disorders, 600 Wan Ping Nan Road, Shanghai 200030, PR China.
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27
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Zhou TH, Dang WM, Ma YT, Hu CQ, Wang N, Zhang GY, Wang G, Shi C, Zhang H, Guo B, Zhou SZ, Feng L, Geng SX, Tong YZ, Tang GW, He ZK, Zhen L, Yu X. Clinical efficacy, onset time and safety of bright light therapy in acute bipolar depression as an adjunctive therapy: A randomized controlled trial. J Affect Disord 2018; 227:90-96. [PMID: 29053981 DOI: 10.1016/j.jad.2017.09.038] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2017] [Revised: 07/20/2017] [Accepted: 09/23/2017] [Indexed: 01/10/2023]
Abstract
BACKGROUND Bright light therapy (BLT) is an effective treatment for seasonal affective disorder and non- seasonal depression. The efficacy of BLT in treating patients with bipolar disorder is still unknown. AIMS The aim of this study is to examine the efficacy, onset time and clinical safety of BLT in treating patients with acute bipolar depression as an adjunctive therapy (trial registration at ClinicalTrials.gov: NCT02009371). METHODS This was a multi-center, single blind, randomized clinical trial. Seventy-four participants were randomized in one of two treatment conditions: BLT and control (dim red light therapy, dRLT). Sixty-three participants completed the study (33 BLT, 30 dRLT). Light therapy lasted for two weeks, one hour every morning. All participants were required to complete several scales assessments at baseline, and at the end of weeks 1 and 2. The primary outcome measures were the clinical efficacy of BLT which was assessed by the reduction rate of HAMD-17 scores, and the onset time of BLT which was assessed by the reduction rate of QIDS-SR16 scores. The secondary outcome measures were rates of switch into hypomania or mania and adverse events. RESULTS 1) Clinical efficacy: BLT showed a greater ameliorative effect on bipolar depression than the control, with response rates of 78.19% vs. 43.33% respectively (p < 0.01). 2) Onset day: Median onset day was 4.33 days in BLT group. 3) BLT-emergent hypomania: No participants experienced symptoms of hypomania. 4) Side effects: No serious adverse events were reported. CONCLUSION BLT can be considered as an effective and safe adjunctive treatment for patients with acute bipolar depression.
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Affiliation(s)
- Tian-Hang Zhou
- Peking University Sixth Hospital, Peking University Institute of Mental Health, the Key Laboratory of the Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Beijing, China
| | - Wei-Min Dang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, the Key Laboratory of the Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Beijing, China
| | - Yan-Tao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, the Key Laboratory of the Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Beijing, China
| | - Chang-Qing Hu
- Mood Disorders Center, Beijing Anding Hospital, Capital Medical University & China Clinical Research Center for Mental Disorders Center of Depression, Beijing Institute for Brain Disorders, Beijing, China
| | - Ning Wang
- Beijing Huilongguan Hospital, Peking University, Beijing, China
| | - Guo-Yi Zhang
- School of physics, Peking University, Beijing, China
| | - Gang Wang
- Mood Disorders Center, Beijing Anding Hospital, Capital Medical University & China Clinical Research Center for Mental Disorders Center of Depression, Beijing Institute for Brain Disorders, Beijing, China
| | - Chuan Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, the Key Laboratory of the Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Beijing, China
| | - Hua Zhang
- Peking University Third Hospital, Beijing, China
| | - Bin Guo
- Beijing Huilongguan Hospital, Peking University, Beijing, China
| | - Shu-Zhe Zhou
- Peking University Sixth Hospital, Peking University Institute of Mental Health, the Key Laboratory of the Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Beijing, China
| | - Lei Feng
- Mood Disorders Center, Beijing Anding Hospital, Capital Medical University & China Clinical Research Center for Mental Disorders Center of Depression, Beijing Institute for Brain Disorders, Beijing, China
| | - Shu-Xia Geng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, the Key Laboratory of the Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Beijing, China
| | - Yu-Zhen Tong
- School of physics, Peking University, Beijing, China
| | - Guan-Wen Tang
- Beijing Huilongguan Hospital, Peking University, Beijing, China
| | - Zhong-Kai He
- School of physics, Peking University, Beijing, China
| | - Long Zhen
- Mood Disorders Center, Beijing Anding Hospital, Capital Medical University & China Clinical Research Center for Mental Disorders Center of Depression, Beijing Institute for Brain Disorders, Beijing, China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, the Key Laboratory of the Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Beijing, China.
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28
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Chen R, Xi Y, Wang X, Li Y, He Y, Luo J. Perception of inpatients following remission of a manic episode in bipolar I disorder on a group-based Psychoeducation program: a qualitative study. BMC Psychiatry 2018; 18:26. [PMID: 29378562 PMCID: PMC5789540 DOI: 10.1186/s12888-018-1614-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Accepted: 01/18/2018] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND This forms the first study of a group-based psychoeducation program for inpatients following remission of a manic episode in patients suffering from bipolar I disorder in a Chinese population. The aim was to explore the patient's perspectives of the program and their suggestions regarding ways to improve the intervention in the future. METHODS Semi-structured and in-depth interviews were conducted with 15 participants who had participated in 8 sessions of a group psychoeducation program over 2 weeks. The verbatim transcripts of those interviews were analysed using thematic analysis. RESULTS Five themes emerged from the data, including the patients' perception of participating in the program, their perception of the setting, perception of participating in a group program, perception of the learning content and of the outcome of participating in the program. CONCLUSIONS The results presented here describe how the short-term group psychoeducation program was experienced by the patients. Recommendations are also offered to improve the setting, content, and delivery. Our findings provide evidence that the program is beneficial for manic patients with bipolar I disorder, and this intervention warrants further research especially in a Chinese population. If these benefits are confirmed in future studies, this program could be incorporated into routine psychiatric inpatient care in China.
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Affiliation(s)
- Runsen Chen
- 0000 0004 0369 153Xgrid.24696.3fThe National Clinical Research Center for Mental Disorders & Beijing key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China ,0000 0004 1936 8948grid.4991.5Department of Psychiatry, University of Oxford, Oxford, UK
| | - Yingjun Xi
- 0000 0004 0369 153Xgrid.24696.3fThe National Clinical Research Center for Mental Disorders & Beijing key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Xue Wang
- 0000 0004 0369 153Xgrid.24696.3fThe National Clinical Research Center for Mental Disorders & Beijing key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Yaqiong Li
- 0000 0004 0369 153Xgrid.24696.3fThe National Clinical Research Center for Mental Disorders & Beijing key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Yuyang He
- 0000 0004 0369 153Xgrid.24696.3fThe National Clinical Research Center for Mental Disorders & Beijing key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Jiong Luo
- The National Clinical Research Center for Mental Disorders & Beijing key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China.
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Zhou SJ, Zhang LG, Chen HM, Li JY, Li R, Zhang XM, Wang N, Soares JC, Cassidy RM, Zheng Y, Ning Y, Wang SL, Chen JX, Zhang XY. Prevalence and clinical-demographic correlates of hyperhomocysteinemia in inpatients with bipolar disorder in a Han Chinese population. Psychiatry Res 2018; 259:364-369. [PMID: 29120844 DOI: 10.1016/j.psychres.2017.08.063] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 05/29/2017] [Accepted: 08/23/2017] [Indexed: 12/28/2022]
Abstract
Recent studies have reported that hyperhomocystinemia (HHcy) is highly prevalent in patients with bipolar disorder (BD), placing them at greater risk of cardiovascular disease and possibly serving as a disease biomarker. However, the correlation of HHcy with demographic or clinical parameters is not well known. In this study, we examined the prevalence of HHcy and its association with these parameters in a sample of Chinese BD patients. Fasting plasma homocysteine (Hcy) levels were determined in 198 BD inpatients and 84 healthy controls. HHcy was defined when Hcy concentration exceeded 15.0µmol/L. Affective symptomatology was assessed by the Young Mania Rating Scale, Hamilton Depression Rating Scale and the Clinical Global Impressions severity scale. Compared to healthy controls, BD patients had a significantly higher prevalence (34.85% vs. 19.05%) of HHcy and a higher absolute level of homocysteine. Logistic regression analysis demonstrated that BD patients with HHcy were more likely to be male, have elevated BMI, more frequent treatment on lithium but less on valproate. These results suggest that Chinese inpatients with bipolar disorder have a higher rate of HHcy than the general population, and those at greatest risk are male, have an elevated BMI, and take more lithium but less valproate therapy.
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Affiliation(s)
- Shuang-Jiang Zhou
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China
| | - Li-Gang Zhang
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China
| | - Hong-Mei Chen
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China
| | - Ju-Yan Li
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China
| | - Ran Li
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China
| | - Xi-Mei Zhang
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China
| | - Ning Wang
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ryan M Cassidy
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yingjun Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
| | - Shao-Li Wang
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China.
| | - Jing-Xu Chen
- Beijing Hui-Long-Guan Hospital, Peking University, Beijing 100096, China.
| | - Xiang-Yang Zhang
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China.
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