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Xu BY, Jin K, Wu HS, Liu XJ, Wang XJ, Sang H, Li KQ, Sun MJ, Meng HQ, Deng HL, Xun ZY, Yang XD, Zhang L, Li GJ, Zhang RL, Cai DF, Liu JH, Zhao GJ, Liu LF, Wang G, Zhao CL, Guo B, Jin SC, Huang LY, Yang FD, Zheng JM, Zhan GL, Fang MS, Meng XJ, Zhang GY, Li HM, Liu XL, Li JH, Wu B, Li HY, Chen JD. Who can benefit more from its twelve-week treatment: A prospective cohort study of blonanserin for patients with schizophrenia. World J Psychiatry 2024; 14:1735-1745. [DOI: 10.5498/wjp.v14.i11.1735] [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: 08/30/2024] [Revised: 10/14/2024] [Accepted: 10/29/2024] [Indexed: 11/07/2024] Open
Abstract
BACKGROUND Blonanserin (BNS) is a well-tolerated and effective drug for treating schizophrenia.
AIM To investigate which types of patients would obtain the most benefit from BNS treatment.
METHODS A total of 3306 participants were evaluated in a 12-week, prospective, multicenter, open-label post-marketing surveillance study of BNS. Brief psychiatric rating scale (BPRS) scores were calculated to evaluate the effectiveness of BNS, and its safety was assessed with the incidence of adverse drug reactions. Linear regression was used to screen the influencing factors for the reduction of BPRS total score, and logistic regression was used to identify patients with a better response to BNS.
RESULTS The baseline BPRS total score (48.8 ± 15.03) decreased to 27.7 ± 10.08 at 12 weeks (P < 0.001). Extrapyramidal symptoms (14.6%) were found to be the most frequent adverse drug reactions. The acute phase, baseline BPRS total score, current episode duration, number of previous episodes, dose of concomitant antipsychotics, and number of types of sedative-hypnotic agents were found to be independent factors affecting the reduction of BPRS total score after treatment initiation. Specifically, patients in the acute phase with baseline BPRS total score ≥ 45, current episode duration < 3 months, and ≤ 3 previous episodes derived greater benefit from 12-week treatment with BNS.
CONCLUSION Patients in the acute phase with more severe symptoms, shorter current episode duration, fewer previous episodes, and a lower psychotropic drug load derived the greatest benefit from treatment with BNS.
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Affiliation(s)
- Bao-Yan Xu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China
- Department of Psychiatry, Hebei Provincial Mental Health Center, Hebei Key Laboratory of Major Mental and Behavioral Disorders, The Sixth Clinical Medical College of Hebei University, Baoding 071000, Hebei Province, China
| | - Kun Jin
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China
| | - Hai-Shan Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China
| | - Xue-Jun Liu
- Department of Psychiatry, Brain Hospital of Hunan Province, Changsha 410000, Hunan Province, China
| | - Xi-Jin Wang
- Department of Psychiatry, The First Psychiatric Hospital of Harbin, Harbin 150000, Heilongjiang Province, China
| | - Hong Sang
- Mental Health Center, Changchun Sixth Hospital, Changchun 130000, Jilin Province, China
| | - Ke-Qing Li
- Department of Psychiatry, Hebei Provincial Mental Health Center, Hebei Key Laboratory of Major Mental and Behavioral Disorders, The Sixth Clinical Medical College of Hebei University, Baoding 071000, Hebei Province, China
| | - Mei-Juan Sun
- Department of Pharmacy, Daqing Third Hospital, Daqing 163000, Heilongjiang Province, China
| | - Hua-Qing Meng
- Department of Physical and Psychological Rehabilitation, Guangda Rehabilitation Hospital, Chongqing 400000, China
| | - Huai-Li Deng
- Department of Psychology, Shanxi Provincial Mental Health Center, Taiyuan 030000, Shanxi Province, China
| | - Zhi-Yuan Xun
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin 300000, China
| | - Xiao-Dong Yang
- Department of Psychiatry, Shandong Mental Health Center, Jinan 250000, Shandong Province, China
| | - Lin Zhang
- Department of Psychiatry, Fuzhou Shenkang Hospital, Fuzhou 350000, Fujian Province, China
| | - Guan-Jun Li
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200000, China
| | - Rui-Ling Zhang
- Department of Psychiatry, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453000, Henan Province, China
| | - Duan-Fang Cai
- Department of Psychiatry, The Fifth People’s Hospital of Zigong, Zigong 643000, Sichuan Province, China
| | - Jia-Hong Liu
- Department of Psychiatry, The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Gui-Jun Zhao
- Department of Psychiatry, Guangyuan Mental Health Center, Guangyuan 628000, Sichuan Province, China
| | - Long-Fa Liu
- Department of Psychiatry, Jilin Sixth People’s Hospital, Jilin 132000, Jilin Province, China
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100000, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100000, China
| | - Chang-Lie Zhao
- Department of Psychiatry, Yanbian Brain Hospital, Yanbian 133000, Jilin Province, China
| | - Bin Guo
- Department of Psychiatry, Mudanjiang Psychiatric Hospital, Mudanjiang 157000, Heilongjiang Province, China
| | - Sheng-Chun Jin
- Department of Psychiatry, Anhui Mental Health Center, Hefei 230000, Anhui Province, China
| | - Ling-Yun Huang
- Mental Health Center, Yueqing Third People’s Hospital, Yueqing 325600, Zhejiang Province, China
| | - Fu-De Yang
- Psychiatry Research Center, Beijing Huilongguan Hospital, Beijing 100000, China
| | - Jian-Min Zheng
- Department of Mental Health, Fuzhou Taijiang Xinshengkang Psychiatric Clinic, Fuzhou 350000, Fujian Province, China
| | - Gui-Lai Zhan
- Department of Psychiatry, Xuhui Mental Health Center, Shanghai 200000, China
| | - Mao-Sheng Fang
- Department of Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei Province, China
| | - Xiang-Jun Meng
- Dean’s Office, Qingdao Mental Health Center, Qingdao 266000, Shandong Province, China
| | - Guang-Ya Zhang
- Department of Psychiatry, Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China
| | - Hai-Min Li
- Department of Psychiatry, Chengdu Qingyang Aaron Clinic, Chengdu 610000, Sichuan Province, China
| | - Xiang-Lai Liu
- Institute of Mental Health, Hainan Provincial Anning Hospital, Haikou 570000, Hainan Province, China
| | - Ju-Hong Li
- Department of Psychiatry, The Fourth People’s Hospital of Chengdu, Chengdu 610000, Sichuan Province, China
| | - Bin Wu
- Department of Psychiatry, Xi’an Mental Health Center, Xi’an 710000, Shaanxi Province, China
| | - Hai-Yun Li
- Medical Affairs, Sumitomo Pharma (Suzhou) Co., Ltd., Shanghai 200000, China
| | - Jin-Dong Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China
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Petrovic AD, Barjaktarevic AM, Kostic OZ, Dimitrijevic JM, Mijailovic SS, Gogic AD, Jankovic SM, Andjelkovic MV, Stanojevic Pirkovic MS, Parezanovic Ilic KD, Kostic MJ, Janjic VS. Evaluation of quality of life in patients with schizophrenia: An inpatient social welfare institution-based cross-sectional study. Open Med (Wars) 2024; 19:20240947. [PMID: 38584834 PMCID: PMC10998673 DOI: 10.1515/med-2024-0947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/22/2024] [Accepted: 03/12/2024] [Indexed: 04/09/2024] Open
Abstract
Schizophrenia is a chronic mental illness with a poor quality of life (QoL). The main aim of this study was to measure the QoL and factors that affect the QoL of patients with schizophrenia placed in a social welfare institution. This cross-sectional study included 287 patients with schizophrenia who were treated in a long-stay social care institution in which QoL was assessed using five different instruments: the World Health Organization Quality of Life scale, the EuroQoL Five-Dimension-Five-Level scale (including the visual analog scale), the Quality of Life Enjoyment and Satisfaction Questionnaire - Short Form, and the Brief Psychiatric Rating Scale. To determine the impact of patients' characteristics on score values, multiple linear regression using backward elimination was employed. Due to non-normality in the distribution of the dependent variables, a Box-Cox power transformation was applied to each dependent variable prior to conducting multiple linear regression analysis. Results revealed that patients with schizophrenia have lower QoL. Our study revealed that age, level of education, type of accommodation, type of pavilion, age of onset of the disease, number of prescribed antipsychotics, number of psychiatric comorbidities, duration of therapy, and the number of daily doses of antipsychotics are dominant contributors to the QoL in patients with schizophrenia who were treated in social welfare institution.
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Affiliation(s)
- Aleksandra D. Petrovic
- Department of Pharmacology and Toxicology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Ana M. Barjaktarevic
- Department of Pharmacy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Olivera Z. Kostic
- Department of Pharmacy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
- Center for Research on Harmful Effects of Biological and Chemical Hazards, University of Kragujevac, Kragujevac, Serbia
| | - Jelena M. Dimitrijevic
- Department of Medical Statistics and Informatics, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Sara S. Mijailovic
- Department of Medical Statistics and Informatics, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Andjela D. Gogic
- Department of Medical Statistics and Informatics, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Slobodan M. Jankovic
- Department of Pharmacology and Toxicology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Marija V. Andjelkovic
- Center for Research on Harmful Effects of Biological and Chemical Hazards, University of Kragujevac, Kragujevac, Serbia
- Department of Medical Biochemistry, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Marijana S. Stanojevic Pirkovic
- Center for Research on Harmful Effects of Biological and Chemical Hazards, University of Kragujevac, Kragujevac, Serbia
- Department of Medical Biochemistry, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Katarina D. Parezanovic Ilic
- Department of Physical Medicine and Rehabilitation, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Marina J. Kostic
- Department of Pharmacology and Toxicology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
- Center for Research on Harmful Effects of Biological and Chemical Hazards, University of Kragujevac, Kragujevac, Serbia
| | - Vladimir S. Janjic
- Center for Research on Harmful Effects of Biological and Chemical Hazards, University of Kragujevac, Kragujevac, Serbia
- Department of Psychiatry, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
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Wang F, Yang Y, Tan WY, Lin HC, Yang CJ, Lin YQ, Jia FJ, Wang SB, Hou CL. Patterns and correlates of insight among patients with schizophrenia in China:A network perspective. Asian J Psychiatr 2023; 88:103735. [PMID: 37591116 DOI: 10.1016/j.ajp.2023.103735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/09/2023] [Accepted: 08/09/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVE To explore the patterns and correlates of insight among patients with schizophrenia in a large Chinese population. METHOD A multi-center cross-sectional study was conducted in Guangdong province, China. Patients with schizophrenia were included. Basic socio-demographic and clinical characteristics were collected in this study. Univariate analyses, multivariate logistic regression, and network analysis were conducted. RESULTS A total of 6090 participants (58.8% were male, and 41.2% were female) met the study criteria and completed all the assessments. 63.5% (n = 3869) patients with schizophrenia had impaired insight. Fewer drug sides effect, higher psychological and environment domains scores in quality of life have a positive significant impact on insight in patients with schizophrenia. Younger age, higher BPRS scores have a negative significant impact on insight in patients with schizophrenia. The node ITAQ 8 (strength=1.17) was the most central node within the ITAQ network, while node ITAQ 3 was the least central node (strength=0.69). The edge ITAQ 1-ITAQ 2 was the thickest and most saturated edge in network model. CONCLUSIONS Considering patterns and correlation of insight, it is necessary to ensure adherence to medications and engagement with mental health services for patients with schizophrenia, which could also improve their quality of life. Taking medication actively is more central to identify ITAQ and might be the potential targets for future interventions.
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Affiliation(s)
- Fei Wang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yuan Yang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen-Yan Tan
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hai-Cheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Cheng-Jia Yang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yong-Qiang Lin
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Fu-Jun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shi-Bin Wang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; School of Health, Zhuhai College of Science and Technology, Zhuhai, China.
| | - Cai-Lan Hou
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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4
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Chene M, Sánchez-Rico M, Blanco C, De Raykeer RP, Hanon C, Vandel P, Limosin F, Hoertel N. Psychiatric symptoms and mortality in older adults with major psychiatric disorders: results from a multicenter study. Eur Arch Psychiatry Clin Neurosci 2022; 273:627-638. [PMID: 35723739 DOI: 10.1007/s00406-022-01426-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 05/02/2022] [Indexed: 12/01/2022]
Abstract
Prior research suggests that certain psychiatric symptoms could be associated with increased risk of death. However, it remains unclear whether this association could rely on all or specific symptoms. In this report, we used data from a multicenter 5-year prospective study (N = 641) of older adults with an ICD-10 diagnosis of schizophrenia, bipolar disorder or major depressive disorder, recruited from French community psychiatric departments. We used a latent variable approach to disentangle the effects shared by all psychiatric symptoms (i.e., general psychopathology factor) and those specific to individual psychiatric symptoms, while adjusting for sociodemographic and clinical factors. Psychiatric symptoms were assessed face-to-face by psychiatrists trained to semi-structured interviews using the Brief Psychiatric Rating Scale (BPRS). Among older adults with major psychiatric disorders, we found that all psychiatric symptoms were associated with increased mortality, and that their effect on the 5-year mortality were exerted mostly through a general psychopathology dimension (β = 0.13, SE = 0.05, p < 0.05). No BPRS item or lower order factor had a significant effect on mortality beyond and above the effect of the general psychopathology factor. Greater number of medical conditions, older age, male sex, and being hospitalized or institutionalized at baseline were significantly associated with this risk beyond the effect of the general psychopathology factor. Since psychiatric symptoms may affect mortality mainly through a general psychopathology dimension, biological and psychological mechanisms underlying this dimension should be considered as promising targets for interventions to decrease excess mortality of older individuals with psychiatric disorders.
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Affiliation(s)
- Margaux Chene
- Department of Psychiatry, AP-HP, Western Paris University Hospitals, 92130, Issy-les-Moulineaux, France. .,Department of Psychiatry, Corentin Celton Hospital, Paris Descartes University, 4 parvis Corentin Celton, 92130, Issy-les-Moulineaux, France.
| | - Marina Sánchez-Rico
- Department of Psychiatry, AP-HP, Western Paris University Hospitals, 92130, Issy-les-Moulineaux, France.,Department of Psychobiology and Behavioural Sciences Methods, Faculty of Psychology, Universidad Complutense de Madrid, Campus de Somosaguas, Madrid, Spain
| | - Carlos Blanco
- Division of Epidemiology, Services, and Prevention Research, National Institute On Drug Abuse, Bethesda, MD, USA
| | - Rachel Pascal De Raykeer
- Department of Psychiatry, AP-HP, Western Paris University Hospitals, 92130, Issy-les-Moulineaux, France
| | - Cécile Hanon
- Department of Psychiatry, AP-HP, Western Paris University Hospitals, 92130, Issy-les-Moulineaux, France.,Department of Psychiatry, Corentin Celton Hospital, Paris Descartes University, 4 parvis Corentin Celton, 92130, Issy-les-Moulineaux, France
| | - Pierre Vandel
- Department of Adult Psychiatry, Laboratory of Neurosciences, University Hospital of Besançon, UBFC, EA-481, Besançon, France
| | - Frédéric Limosin
- Department of Psychiatry, AP-HP, Western Paris University Hospitals, 92130, Issy-les-Moulineaux, France.,INSERM UMR 894, Psychiatry and Neurosciences Center, Paris, France.,Paris Descartes University, Sorbonne Paris Cité, Paris, France.,Department of Psychiatry, Corentin Celton Hospital, Paris Descartes University, 4 parvis Corentin Celton, 92130, Issy-les-Moulineaux, France
| | - Nicolas Hoertel
- Department of Psychiatry, AP-HP, Western Paris University Hospitals, 92130, Issy-les-Moulineaux, France.,INSERM UMR 894, Psychiatry and Neurosciences Center, Paris, France.,Paris Descartes University, Sorbonne Paris Cité, Paris, France
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Yu Y, Shen M, Niu L, Liu YE, Xiao S, Tebes JK. The relationship between clinical recovery and personal recovery among people living with schizophrenia: A serial mediation model and the role of disability and quality of life. Schizophr Res 2022; 239:168-175. [PMID: 34896871 DOI: 10.1016/j.schres.2021.11.043] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 09/28/2021] [Accepted: 11/26/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVE We examine the relationship between two perspectives on recovery from schizophrenia: clinical recovery and personal recovery. Clinical recovery emphasizes an individual's psychiatric symptoms and functioning, whereas personal recovery emphasizes adaptation to one's illness that includes taking responsibility for one's recovery, establishing an identity apart from the illness, and finding meaning, purpose, and hope in life. METHODS Using serial mediation analysis, we examine the relationship between clinical and personal recovery in the context of two potential mediators, disability and quality of life. Study participants were 356 people with a diagnosis of schizophrenia and living with family in Changsha City of Hunan Province, China. RESULTS Although clinical recovery was modestly associated with personal recovery (r = 0.27, p < 0.001), subsequent serial mediation analysis showed that clinical recovery is not directly related to personal recovery when accounting for disability and quality of life. Clinical recovery was a significant predictor of disability, which predicted quality of life and personal recovery. Among the three mediation paths, quality of life accounted for most of the mediation effect (54%), followed by disability (24%), and disability and quality of life serially (22%). We discuss the implications of these findings for theory development, intervention, and future research.
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Affiliation(s)
- Yu Yu
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Upper Mayuanlin Road 238, Changsha, Hunan, China; Division of Prevention and Community Research, Department of Psychiatry, Yale School of Medicine, 389 Whitney Avenue, New Haven, CT, USA.
| | - Minxue Shen
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Upper Mayuanlin Road 238, Changsha, Hunan, China
| | - Lu Niu
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Upper Mayuanlin Road 238, Changsha, Hunan, China
| | - Yu-E Liu
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Upper Mayuanlin Road 238, Changsha, Hunan, China; The Affiliated Hainan Hospital, Hainan Medical University, 31 Longhua Road, Longhua District, Haikou City, Hainan, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Upper Mayuanlin Road 238, Changsha, Hunan, China
| | - Jacob Kraemer Tebes
- Division of Prevention and Community Research, Department of Psychiatry, Yale School of Medicine, 389 Whitney Avenue, New Haven, CT, USA.
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Psychiatric symptoms and quality of life in older adults with schizophrenia spectrum disorder: results from a multicenter study. Eur Arch Psychiatry Clin Neurosci 2020; 270:673-688. [PMID: 31134378 DOI: 10.1007/s00406-019-01026-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 05/15/2019] [Indexed: 12/16/2022]
Abstract
The severity of psychopathology has a strong negative impact on quality of life (QoL) among older adults with schizophrenia spectrum disorder. However, because these subjects generally experience multiple psychiatric symptoms, it remains unclear whether decreased QoL in this population is due to specific symptoms (e.g., hallucinations), specific dimensions of psychopathology (e.g., negative symptoms), a general psychopathology dimension representing the shared effect across all psychiatric symptoms, or a combination of these explanations. Data were derived from the Cohort of individuals with Schizophrenia Aged 55 years or more (CSA) study, a large (N = 353) multicenter sample of older adults with schizophrenia spectrum disorder recruited from French public-sector psychiatric departments. We used structural equation modeling to examine the shared and specific effects of psychiatric symptoms on QoL, while adjusting for sociodemographic characteristics, general medical conditions, global cognitive functioning and psychotropic medications. Psychiatric symptoms and QoL were assessed face-to-face by psychiatrists using the Brief Psychiatric Rating Scale (BPRS) and the Quality of Life Scale (QLS). Among older adults with schizophrenia spectrum disorder, effects of psychiatric symptoms on QoL were exerted mostly through a general psychopathology dimension (β = - 0.43, p < 0.01). Negative symptom dimension had an additional negative effect on QoL beyond the effect of that factor (β = - 0.28, p < 0.01). Because psychiatric symptoms affect QoL mainly through two dimensions of psychopathology, i.e., a general psychopathology dimension and a negative symptom dimension, mechanisms underlying those dimensions should be considered as promising targets for therapeutic interventions to substantially improve quality of life of this vulnerable population.
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Yu Y, Li T, Xi S, Li Y, Xiao X, Yang M, Ge X, Xiao S, Tebes J. Assessing a WeChat-Based Integrative Family Intervention (WIFI) for Schizophrenia: Protocol for a Stepped-Wedge Cluster Randomized Trial. JMIR Res Protoc 2020; 9:e18538. [PMID: 32687478 PMCID: PMC7479588 DOI: 10.2196/18538] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 06/25/2020] [Accepted: 06/30/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Schizophrenia is a persistent and debilitating mental illness, and its prognosis depends largely on supportive care and systematic treatment. In developing countries like China, families constitute the major caregiving force for schizophrenia and are faced with many challenges, such as lack of knowledge, skills, and resources. The approach to support family caregiving in an accessible, affordable, feasible, and cost-effective way remains unclear. The wide-spread use of WeChat provides a promising and cost-effective medium for support. OBJECTIVE We aim to present a protocol for assessing a WeChat-based integrative family intervention (WIFI) to support family caregiving for schizophrenia. METHODS We will develop a WIFI program that includes the following three core components: (1) psychoeducation (WeChat official account), (2) peer support (WeChat chat group), and (3) professional support (WeChat video chat). A rigorous stepped-wedge cluster randomized trial will be used to evaluate the implementation, effectiveness, and cost of the WIFI program. The WIFI program will be implemented in 12 communities affiliated with Changsha Psychiatric Hospital through the free medicine delivery process in the 686 Program. The 12 communities will be randomized to one of four fixed sequences every 2 months during an 8-month intervention period in four clusters of three communities each. Outcomes will be assessed for both family caregivers and people with schizophrenia. Family caregivers will be assessed for their knowledge and skills about caregiving, social support, coping, perceived stigma, caregiver burden, family functioning, positive feelings, and psychological distress. People with schizophrenia will be assessed for their symptoms, functioning, quality of life, recovery, and rehospitalization. Cost data, such as intervention costs, health care utilization costs, and costs associated with lost productivity, will be collected. Moreover, we will collect process data, including fidelity and quality of program implementation, as well as user attitude data. Treatment effects will be estimated using generalized linear maximum likelihood mixed modeling with clusters as a random effect and time as a fixed effect. Cost-effectiveness analysis will be performed from the societal perspective using incremental cost-effectiveness ratios. Qualitative analysis will use the grounded theory approach and immersion-crystallization process. RESULTS The study was funded in August 2018 and approved by the institutional review board on January 15, 2019. Preliminary baseline data collection was conducted in May 2019 and completed in September 2019. The WIFI program is expected to start in September 2020. CONCLUSIONS This is the first study to assess a WeChat-based mHealth intervention to support family caregiving for schizophrenia in China. The innovative study will contribute to the development of a more cost-effective and evidence-based family management model in the community for people with schizophrenia, and the approach could potentially be integrated into national policy and adapted for use in other populations. TRIAL REGISTRATION ClinicalTrials.gov NCT04393896; https://clinicaltrials.gov/ct2/show/NCT04393896. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/18538.
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Affiliation(s)
- Yu Yu
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
- Division of Prevention and Community Research, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Tongxin Li
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Shijun Xi
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yilu Li
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Xi Xiao
- Department of Psychiatry, Changsha Psychiatric Hospital, Changsha, China
| | - Min Yang
- Department of Psychiatry, Changsha Psychiatric Hospital, Changsha, China
| | - Xiaoping Ge
- Department of Psychiatry, Changsha Psychiatric Hospital, Changsha, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Jacob Tebes
- Division of Prevention and Community Research, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
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Akter L, Srabony FA, Deeba F, Roy S. Adaptation of the scale for the assessment of positive symptoms and scale for the assessment of negative symptoms of schizophrenia in Bangladesh. ASIA PACIFIC JOURNAL OF COUNSELLING AND PSYCHOTHERAPY 2019. [DOI: 10.1080/21507686.2019.1634602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Liza Akter
- Department of Clinical Psychology, University of Dhaka, Dhaka, Bangladesh
| | | | - Farah Deeba
- Department of Clinical Psychology, University of Dhaka, Dhaka, Bangladesh
| | - Sanjit Roy
- Department of Population Sciences, University of Dhaka, Dhaka, Bangladesh
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The prevalence of psychotic symptoms in kratom (Mitragyna speciosa Korth.) Users in Malaysia. Asian J Psychiatr 2019; 43:197-201. [PMID: 31302592 DOI: 10.1016/j.ajp.2019.07.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 05/20/2019] [Accepted: 07/05/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Kratom is a traditional medicinal herb widely used in Malaysia and Thailand. Despite its widespread use and statements by regulatory agencies on the potential for kratom-associated psychosis, there is little data regarding the prevalence of psychotic symptoms among kratom users. This study investigated the prevalence of psychosis among kratom users, described psychotic symptomatology and severity, while examining associations between kratom use characteristics and the occurrence of psychotic symptoms. METHODS This cross-sectional clinical survey recruited 150 regular kratom users. The Mini International Neuropsychiatric Interview (MINI) and Diagnostic and Statistical Manual of Mental Disorders 5th Edition (DSM-V) diagnostic criteria were used to evaluate psychotic symptomatology among kratom users, and the Brief Psychiatric Rating Scale (BPRS) was used to assess the severity of psychiatric symptoms. Chi-square tests with Yate's correction were performed to determine the association between kratom use characteristics and the occurrence of psychotic symptoms among kratom users in this study. RESULTS Six out of 150 kratom users (4%) presented with any psychotic symptoms. The psychotic symptoms reported were positive symptoms and thought alienation, with a mean BPRS score of 33 (i.e., mild severity). Variables related to kratom use (such as intake of kratom with diphenhydramine, duration of kratom use, and quantity and frequency of daily kratom use) were not associated with the occurrence of psychotic symptoms among kratom users. CONCLUSION Although psychotic symptoms could occur among regular kratom users, they were rare and not significantly associated with kratom use characteristics. We found no evidence of elevated psychosis among regular users.
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