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Tan EJ, Rossell SL. Exploring associations between trait symptoms and speech patterns in schizophrenia spectrum disorders: A mediation analysis. Schizophr Res 2024; 270:188-190. [PMID: 38917556 DOI: 10.1016/j.schres.2024.06.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 05/23/2024] [Accepted: 06/15/2024] [Indexed: 06/27/2024]
Affiliation(s)
- Eric Josiah Tan
- Memory, Aging and Cognition Centre, National University Health System, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Centre for Mental Health and Brain Sciences, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia.
| | - Susan Lee Rossell
- Centre for Mental Health and Brain Sciences, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia; Department of Psychiatry, St Vincent's Hospital, Melbourne, Australia
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Jerome L, Matanov A, Bird V, Priebe S, McNamee P. Comparison of subjective quality of life domains in schizophrenia, mood, and anxiety disorders; an individual patient data meta-analysis. Psychiatry Res 2024; 332:115707. [PMID: 38184891 DOI: 10.1016/j.psychres.2023.115707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 12/19/2023] [Accepted: 12/28/2023] [Indexed: 01/09/2024]
Abstract
This study sought to compare satisfaction with different subjective quality of life domains across individuals with three different mental health disorders. Samples from four separate studies were combined to conduct a one-step individual patient data meta-analysis. 5329 individuals with either a schizophrenia (n = 1839), mood (n = 1650), or anxiety disorder (n = 1840) were included. Mean satisfaction ratings for each life domain were compared across disorders. Associations between satisfaction ratings and personal characteristics were investigated using multivariable mixed effect models. Results showed that individuals with an anxiety disorder had the widest range of scores and reported lower satisfaction in most domains compared to those with a schizophrenia or mood disorder. Individuals with a schizophrenia disorder rated domains to do with 'others', such as relationships with family and sex life, as lower than individuals with a mood or anxiety disorder. Satisfaction ratings were often more impacted by personal characteristics, such as employment status, than by diagnostic category. These results demonstrate that specific life areas are impacted differently in the three mental health disorders studied. However, further research needs to consider the impact of personal characteristics across disorders, and the subjective quality of life in individuals with anxiety disorders in particular warrants further investigation.
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Affiliation(s)
- Lauren Jerome
- Wolfson Institute of Population Health, Queen Mary, University of London, London, UK.
| | - Aleksandra Matanov
- Wolfson Institute of Population Health, Queen Mary, University of London, London, UK
| | - Victoria Bird
- Wolfson Institute of Population Health, Queen Mary, University of London, London, UK
| | - Stefan Priebe
- Unit for Social and Community Psychiatry, East London NHS Foundation Trust, London, UK
| | - Philip McNamee
- Unit for Social and Community Psychiatry, East London NHS Foundation Trust, London, UK
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Mao Z, Tian L, Sun Y, Dong F, Wang C, Bo Q. Quality of life and its predictors in first-episode schizophrenia and individuals at clinical high-risk for psychosis. BMC Psychiatry 2023; 23:793. [PMID: 37907877 PMCID: PMC10617034 DOI: 10.1186/s12888-023-05303-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 10/23/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND This is a cross-sectional study comparing the degree of subjective quality of life (QOL) impairment and its predictive factors in first-episode schizophrenia (FES) and individuals at clinical high-risk (CHR) for psychosis. METHODS Seventy-seven FES, 59 CHR, and 64 healthy controls (HC) were included. The QOL of all participants was assessed using the World Health Organization Quality of Life (WHOQOL)-Brief Form (BREF). Psychiatric symptoms of individuals with FES were assessed with the Positive and Negative Syndrome Scale (PANSS), five factors were further identified through factor analysis; for individuals with CHR and HC, the Scale of Prodromal Symptoms (SOPS) was used. RESULTS The total and four sub-domain scores of the WHOQOL-BREF in the FES and CHR groups were lower than those of the HC group. The overall and psychological health scores in the CHR group were lowest. In the FES group, after applying Bonferroni's correction, there is a negative correlation between the total QOL scores and anxiety/depressive symptom scores (r = -0.34, P = 0.003). The stepwise multiple regression analysis showed that the QOL of both FES and CHR group were negatively affected by anxiety/depressive symptoms and unemployment (P < 0.05). CONCLUSIONS Compared with FES, CHR individuals are more dissatisfied with their QOL. Although diagnostic assessment of FES and CHR relies heavily on positive symptoms, the QOL is more affected by anxiety/depressive symptoms and social functioning.
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Affiliation(s)
- Zhen Mao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Lu Tian
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Yue Sun
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Fang Dong
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Qijing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.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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