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Happell B, Platania-Phung C, Furness T, Scholz B, Niyonsenga T, Watkins A, Curtis J, Wang Z, Khanijou S, Stanton R. Physical Health and Health Behaviours of Australians with Psychosis. Community Ment Health J 2025; 61:797-808. [PMID: 39976847 PMCID: PMC11968500 DOI: 10.1007/s10597-024-01417-w] [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: 05/20/2024] [Accepted: 11/20/2024] [Indexed: 04/04/2025]
Abstract
People living with psychosis live up to 20 years less compared to the general population. Cardiometabolic ill-health and barriers to health-related behaviour are significant contributors. This is a cross-sectional descriptive study of cardiometabolic health and health behaviours of consumers attending a public community mental health service in an Australian city. One hundred and fourteen consumers currently living with psychosis participated. Standard measures of cardiometabolic health, quality of life and, health-related behaviours were utilised. Data were analysed using descriptive statistics. The cohort reported higher fruit intake and physical activity, and lower excess alcohol use compared to previous studies. Health-related behaviours including smoking and vegetable intake were poorer than previously reported. Participants had low levels of cardiometabolic health (e.g. abnormal lipids). Physical and mental quality of life was also lower than for general populations. Improved efforts to address physical health for people with mental health conditions are urgently needed.
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Affiliation(s)
- Brenda Happell
- Faculty of Health,, Southern Cross University,, Lismore, Australia.
- School of Nursing and Midwifery, The University of Newcastle, Callaghan, Australia.
- Equally Well, Australia, Orange, Australia.
| | | | | | - Brett Scholz
- School of Medicine and Psychology, Australian National University, Canberra, Australia
| | - Theo Niyonsenga
- Health Research Institute, University of Canberra, Canberra, Australia
| | | | - Jackie Curtis
- Mindgardens Neuroscience Network, Sydney, Australia
- Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Zijian Wang
- School of Medicine and Psychology, Australian National University, Canberra, Australia
| | | | - Robert Stanton
- Cluster for Resilience and Wellbeing, Appleton Institute, School of Health, Medical and Applied Sciences CQUniversity, Rockhampton, Australia
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Yamaguchi S, Ojio Y, Koike J, Matsunaga A, Ogawa M, Kikuchi A, Kawashima T, Tachimori H, Bernick P, Kimura H, Inagaki A, Watanabe H, Kishi Y, Yoshida K, Hirooka T, Oishi S, Matsuda Y, Fujii C. Associations between readmission and patient-reported measures in acute psychiatric inpatients: a multicenter prospective longitudinal study. Soc Psychiatry Psychiatr Epidemiol 2025; 60:79-93. [PMID: 39102067 DOI: 10.1007/s00127-024-02710-5] [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: 02/20/2024] [Accepted: 06/24/2024] [Indexed: 08/06/2024]
Abstract
PURPOSE This study examined whether patient-reported measures (PRMs) addressing quality of life, personal agency, functional impairment, and treatment satisfaction at hospital discharge were associated with future readmission during a 12-month follow-up period. The study also examined whether readmission influenced changes in the same measures. METHODS A multicenter prospective cohort study was conducted at 21 psychiatric hospitals in Japan. Participants completed the EuroQol-five-dimensions-five-level (EQ-5D), the Five-item Subjective Personal Agency Scale, and the Sheehan Disability Scale (SDS) at the time of index admission (T1), discharge from index admission (T2), and 6 months (T3) and 12 months (T4) after discharge. Inpatient treatment satisfaction was assessed at T2. Readmission and variables potentially associated with hospitalization and PRMs were evaluated using mixed-effects logistic regression models and mixed models for repeated measures. RESULTS A total of 491 participants were followed for 12 months (attrition rate: 19.4%), and 480 were included in the EQ-5D analysis. The most common diagnoses were schizophrenia (59%), depression (14%), and bipolar disorder (13%). No patient-reported measures were significantly associated with readmission over the follow-up period. Interaction of readmission and time did not significantly affect changes in EQ-5D. Readmission did significantly influence SDS score changes between T2 and T3 (B = 1.78, 95% CI = 0.30-3.25, p = 0.018) and between T3 and T4 (B = 1.43, 95% CI = 0.14-2.72, p = 0.029). The same influence of readmission on SDS score changes was not observed in the model which adjusted for all potential covariates. CONCLUSION Readmission was potentially associated with changes in self-reported functional impairment. Findings highlight the potential role of intensive post-discharge services in preventing readmission, rather than relying on time-of-discharge PRMs in order to predict readmission risk. TRIAL REGISTRATION This study was registered in UMIN Clinical Trials Registry (UMIN000034220).
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Affiliation(s)
- Sosei Yamaguchi
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, 187-8553, Japan.
| | - Yasutaka Ojio
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, 187-8553, Japan
| | - Junko Koike
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, 187-8553, Japan
| | - Asami Matsunaga
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, 187-8553, Japan
- Department of Mental Health and Psychiatric Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Makoto Ogawa
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, 187-8553, Japan
| | - Akiko Kikuchi
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, 187-8553, Japan
- Faculty of Human Sciences, Musashino University, Tokyo, Japan
| | - Takahiro Kawashima
- Department of Information Medicine, National Center of Neurology and Psychiatry, National Institute of Neuroscience, Tokyo, Japan
| | - Hisateru Tachimori
- Department of Information Medicine, National Center of Neurology and Psychiatry, National Institute of Neuroscience, Tokyo, Japan
- Endowed Course for Health System Innovation, Keio University School of Medicine, Tokyo, Japan
| | - Peter Bernick
- Student Accessibility Office, Nagasaki University, Nagasaki, Japan
| | - Hiroshi Kimura
- Department of Psychiatry, Gakuji-Kai Kimura Hospital, Chiba, Japan
- Department of Psychiatry, Graduate School of Medicine, Chiba University, Chaba, Japan
| | - Ataru Inagaki
- College of Education, Psychology and Human Studies, Aoyama Gakuin University, Tokyo, Japan
| | - Hiroyuki Watanabe
- Department of Psychiatry, Gakuji-Kai Kimura Hospital, Chiba, Japan
- Division of Medical Treatment and Rehabilitation, Center of Forensic Mental Health, Chiba University, Chiba, Japan
| | - Yoshiki Kishi
- Department of Psychiatry, Okayama Psychiatric Medical Center, Okayama, Japan
| | - Koji Yoshida
- Department of Human Care and Support, Toyo University, Tokyo, Japan
| | - Takaaki Hirooka
- Department of Psychiatry, Kitasato University School of Medicine, Sagamihara, Japan
| | - Satoru Oishi
- Department of Psychiatry, Kitasato University School of Medicine, Sagamihara, Japan
| | - Yasuhiro Matsuda
- Osaka Psychiatric Medical Center, Osaka, Japan
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Chiyo Fujii
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, 187-8553, Japan
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Korman N, Stanton R, Vecchio A, Chapman J, Parker S, Martland R, Siskind D, Firth J. The effect of exercise on global, social, daily living and occupational functioning in people living with schizophrenia: A systematic review and meta-analysis. Schizophr Res 2023; 256:98-111. [PMID: 37209456 DOI: 10.1016/j.schres.2023.04.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 03/28/2023] [Accepted: 04/19/2023] [Indexed: 05/22/2023]
Abstract
BACKGROUND Schizophrenia is associated with high rates of global, social and occupational functional impairments. While prior meta-analyses have extensively examined the impact of exercise on physical and mental health, the impact on functioning in schizophrenia have yet to be fully established. This review aimed to update the evidence base regarding the impact of exercise on functioning in schizophrenia, and explore moderators of effect. METHODS A systematic search was conducted to identify randomized controlled trials (RCTs) of exercise evaluating global functioning versus any comparator in people with schizophrenia; between group meta-analyses of global functioning (and secondary - social, living skills, occupational, adverse events) were computed using a random effects model. Subgroup analyses based on diagnosis and aspects of the intervention were conducted. RESULTS 18 full text articles were included, involving 734 participants. A moderate impact of exercise on global functioning was found (g = 0.40, 95 % C·I. = 0.12 to 0.69, p = 0.006), with a moderate impact of exercise on social (N = 5, g = 0.54 95 % C.I = 0.16 to 0.9 p = 0.005), and daily living functioning (N = 3, g = 0.65, 95 % C.I. = 0.07 to 1.22, p = 0.005). CONCLUSIONS There is good evidence that exercise can improve the global functioning of people with schizophrenia, with preliminary evidence for social and daily living skills; exercise should be considered an important adjunct to usual care. Higher impacts on global functioning were seen in aerobic interventions and of at least moderate to vigorous intensity. More research is required into resistance training, in early psychosis cohorts and to evaluate the comparison of exercise with other established psychosocial therapies.
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Affiliation(s)
- Nicole Korman
- Addiction and Mental Health Services, Metro South Health Services, Australia; School of Medicine, University of Queensland, Brisbane, Australia.
| | - Robert Stanton
- School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia
| | - Anna Vecchio
- Addiction and Mental Health Services, Metro South Health Services, Australia
| | - Justin Chapman
- Addiction and Mental Health Services, Metro South Health Services, Australia; Queensland Institute of Medical Research, Brisbane, Australia
| | - Stephen Parker
- Addiction and Mental Health Services, Metro South Health Services, Australia; School of Medicine, University of Queensland, Brisbane, Australia; The Prince Charles Hospital, Metro North Mental Health Services, Australia
| | - Rebecca Martland
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Dan Siskind
- Addiction and Mental Health Services, Metro South Health Services, Australia; School of Medicine, University of Queensland, Brisbane, Australia
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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Haas SS, Doucet GE, Antoniades M, Modabbernia A, Corcoran CM, Kahn RS, Kambeitz J, Kambeitz-Ilankovic L, Borgwardt S, Brambilla P, Upthegrove R, Wood SJ, Salokangas RK, Hietala J, Meisenzahl E, Koutsouleris N, Frangou S. Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function. Schizophr Res Cogn 2022; 29:100252. [PMID: 35391789 PMCID: PMC8980307 DOI: 10.1016/j.scog.2022.100252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/26/2022] [Accepted: 03/27/2022] [Indexed: 11/28/2022]
Abstract
Objective Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neurobiologically distinct or in a continuum with the lower end of the normal distribution of individual differences in social functioning. Methods We used a machine learning classifier to test for the presence of a previously validated brain structural pattern associated with impaired social outcome in CHR-P (CHR-outcome-neurosignature) in the neuroimaging profiles of individuals from two non-clinical samples (total n = 1763) and examined its association with social function, psychopathology and cognition. Results Although the CHR-outcome-neurosignature could be detected in a subset of the non-clinical samples, it was not associated was adverse social outcomes or higher psychopathology levels. However, participants whose neuroanatomical profiles were highly aligned with the CHR-outcome-neurosignature manifested subtle disadvantage in fluid (PFDR = 0.004) and crystallized intelligence (PFDR = 0.01), cognitive flexibility (PFDR = 0.02), inhibitory control (PFDR = 0.01), working memory (PFDR = 0.0005), and processing speed (PFDR = 0.04). Conclusions We provide evidence of divergence in brain structural underpinnings of social dysfunction derived from a psychosis-risk enriched population when applied to non-clinical samples. This approach appears promising in identifying brain mechanisms bound to psychosis through comparisons of patient populations to non-clinical samples with the same neuroanatomical profiles.
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Affiliation(s)
- Shalaila S. Haas
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Gaelle E. Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, 14090 Mother Teresa Lane, Boys Town, NE 68010, USA
| | - Mathilde Antoniades
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA
| | - Amirhossein Modabbernia
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Cheryl M. Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - René S. Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Strasse 62, 50937 Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Strasse 62, 50937 Cologne, Germany,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Nussbaumstraße 7, 80336 München, Germany
| | - Stefan Borgwardt
- Department of Psychiatry, University Psychiatric Clinics (UPK), University of Basel, Wilhelm Klein-Strasse 27, 4002 Basel, Switzerland,Department of Psychiatry, Psychosomatics and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck 23538, Germany
| | - Paolo Brambilla
- Department of Neuroscience and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milano, Italy,Department of Pathophysiology and Mental Health, University of Milan, Via Francesco Sforza 35, 20122 Milano, Italy
| | - Rachel Upthegrove
- Early Intervention Service, Birmingham Womens and Childrens NHS Trust, Steelhouse Lane, Birmingham, B4 6NH, UK,Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Stephen J. Wood
- Department of Pathophysiology and Mental Health, University of Milan, Via Francesco Sforza 35, 20122 Milano, Italy,Orygen, 35 Poplar Rd, Parkville, VIC 3052, Australia,Centre for Youth Mental Health, University of Melbourne, Grattan Street, Parkville, Victoria 3010, Australia
| | - Raimo K.R. Salokangas
- Department of Psychiatry, University of Turku and Turku University Hospital, FI-20014 Turun yliopisto, Finland
| | - Jarmo Hietala
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Moorenstrße 5, 40225 Düsseldorf, Germany
| | - Eva Meisenzahl
- Max-Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804 München, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Nussbaumstraße 7, 80336 München, Germany,Max-Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804 München, Germany,Institute of Psychiatry, Psychology and Neuroscience, King's College London, Denmark Hill, SE5 8AF London, UK
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA,Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, 2215 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada,Corresponding author at: Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, NY, 10029, NY, USA.
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Kadakia A, Fan Q, Shepherd J, Bailey H, Dembek C, Walker C, Williams GR. Point-in-time survey of healthcare resource utilization, employment, quality of life and caregiver status by disease severity in patients with schizophrenia in the US. Curr Med Res Opin 2022; 38:469-478. [PMID: 34812100 DOI: 10.1080/03007995.2021.2007690] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE The objective of this survey was to assess patient outcomes and caregiver status by disease severity among patients with schizophrenia in the United States. METHODS A point-in-time survey was conducted between July and October 2019 via the Adelphi Schizophrenia Disease Specific Programme. Psychiatrists reported on their next 10 eligible patients with schizophrenia including demographics, disease severity, treatment history and hospitalizations. Patients receiving treatment for schizophrenia were classified as mild, moderate or severe based on disease severity. Regression models adjusted for age, sex and race/ethnicity. RESULTS Psychiatrists (n = 124) reported on 435 mild, 401 moderate and 247 severe patients. Greater severity of schizophrenia was associated with a greater number of hospitalizations related to schizophrenia relapse in the previous 12 months (moderate vs. mild: adjusted incidence rate ratio (aIRR) [95% CI] = 2.17 [1.60-2.94]; severe vs. mild: aIRR = 5.45 [3.59-8.27]), lower full-time employment (moderate vs. mild: adjusted odds ratio (aOR) = 0.15 [0.08-0.28]; severe vs. mild: aOR = 0.02 [0.002-0.12]) and greater unemployment due to disability (moderate vs. mild: aOR = 4.24 [3.02-5.97]; severe vs. mild: aOR = 10.85 [6.85-17.17]). Patients with severe vs. mild schizophrenia had lower average quality of life (QoL) measured by the EuroQoL 5-dimension Health Index (difference = -0.16 [-0.23-0.09]). Among patients requiring care, patients with severe vs. mild schizophrenia received more caregiver hours per week (aIRR = 1.89 [1.25-2.84]). CONCLUSIONS Greater severity of schizophrenia was associated with a significantly greater number of hospitalizations and greater unemployment due to disability. Compared with mild schizophrenia, severe schizophrenia was associated with worse patient QoL and greater caregiver hours.
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Affiliation(s)
| | - Qi Fan
- Sunovion Pharmaceuticals Inc., Marlborough, MA, USA
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Bin Sawad A, Jackimiec J, Bechter M, Hull M, Yeaw J, Wang Y, Diaz GA. Health care resource utilization in the management of patients with Arginase 1 Deficiency in the US: a retrospective, observational, claims database study. J Med Econ 2022; 25:848-856. [PMID: 35695271 DOI: 10.1080/13696998.2022.2089517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Arginase 1 Deficiency (ARG1-D) is an inherited metabolic disease that leads to significant morbidity. AIMS Despite the recognized burden of disease, information on health care resource utilization (HCRU) among patients with ARG1-D is lacking. We, therefore, sought to evaluate HCRU in ARG1-D relative to non-ARG1-D cohort. MATERIALS AND METHODS Patients with ≥2 ICD-10-CM diagnosis codes for ARG1-D were identified (first diagnosis code = index date) using professional fee claims linked with prescription claims. Patients with ARG1-D were matched 1:1 to a comparator cohort of patients with other medical conditions. Matching variables included age, sex, index year, payer type (Medicare, Medicaid, third party) and geographic region. RESULTS A total of 77 patients met the inclusion criteria for the ARG1-D cohort, with a median age of 15 years, 52% <18 years, and 52% male. Several concurrent diagnoses were recorded at a higher frequency in the ARG1-D cohort versus the matched comparator (spasticity 7 times higher; developmental delay ∼2 times higher; intellectual disability 5 times higher; and seizures 8 times higher). Emergency room visits occurred twice as often, laboratory tests were performed 1.5 times more often, hospitalization was required 3 times more often, and mean length of stay was longer for patients with ARG1-D than the comparator cohort (2.4 days vs. 0.3 days). LIMITATIONS A relatively short study period while the burden of ARG1-D increases over a lifetime due to disease progression. CONCLUSIONS Patients with ARG1-D had significantly greater HCRU compared with those without the disease; they presented with a more extensive comorbidity profile, accessed the health care system more frequently, required more intense monitoring and management, and had more frequent and longer hospitalizations relative to the comparator group. These findings demonstrate a high health burden in ARG1-D that is not mitigated by standard-of-care measures and emphasize the need for improved treatment options.
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Affiliation(s)
| | | | | | | | | | - Yi Wang
- IQVIA, Inc, Falls Church, VA, USA
| | - George A Diaz
- Division of Medical Genetics and Genomics in the Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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González-Blanch C, Medrano LA, Bendall S, D'Alfonso S, Cagliarini D, McEnery C, O'Sullivan S, Valentine L, Gleeson JF, Alvarez-Jimenez M. The role of social relatedness and self-beliefs in social functioning in first-episode psychosis: Are we overestimating the contribution of illness-related factors? Eur Psychiatry 2020; 63:e92. [PMID: 33032679 PMCID: PMC7681152 DOI: 10.1192/j.eurpsy.2020.90] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Objective Numerous research studies have demonstrated an association between higher symptom severity and cognitive impairment with poorer social functioning in first-episode psychosis (FEP). By contrast, the influence of subjective experiences, such as social relatedness and self-beliefs, has received less attention. Consequently, a cohesive understanding of how these variables interact to influence social functioning is lacking. Method We used structural equation modeling to examine the direct and indirect relationships among neurocognition (processing speed) and social cognition, symptoms, and social relatedness (perceived social support and loneliness) and self-beliefs (self-efficacy and self-esteem) in 170 individuals with FEP. Results The final model yielded an acceptable model fit (χ2 = 45.48, comparative fit index = 0.96; goodness of fit index = 0.94; Tucker–Lewis index = 0.94; root mean square error of approximation = 0.06) and explained 45% of social functioning. Negative symptoms, social relatedness, and self-beliefs exerted a direct effect on social functioning. Social relatedness partially mediated the impact of social cognition and negative symptoms on social functioning. Self-beliefs also mediated the relationship between social relatedness and social functioning. Conclusions The observed associations highlight the potential value of targeting social relatedness and self-beliefs to improve functional outcomes in FEP. Explanatory models of social functioning in FEP not accounting for social relatedness and self-beliefs might be overestimating the effect of the illness-related factors.
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Affiliation(s)
- César González-Blanch
- Mental Health Centre, University Hospital Marqués de Valdecilla - IDIVAL, Santander, Spain
| | - Leonardo A Medrano
- Faculty of Psychology, Pontificia Universidad Católica Madre y Maestra, Santiago de los Caballeros, Dominican Republic
| | - Sarah Bendall
- Orygen, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Simon D'Alfonso
- Orygen, Melbourne, Victoria, Australia.,School of Computing and Information Systems, University of Melbourne, Parkville, Victoria, Australia
| | - Daniela Cagliarini
- Orygen, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Carla McEnery
- Orygen, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Shaunagh O'Sullivan
- Orygen, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Lee Valentine
- Orygen, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - John F Gleeson
- Healthy Brain and Mind Research Centre and School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia
| | - Mario Alvarez-Jimenez
- Orygen, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
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Mørup MF, Kymes SM, Oudin Åström D. A modelling approach to estimate the prevalence of treatment-resistant schizophrenia in the United States. PLoS One 2020; 15:e0234121. [PMID: 32497106 PMCID: PMC7272089 DOI: 10.1371/journal.pone.0234121] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 05/19/2020] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION Schizophrenia is a condition that places a significant burden on individuals with the condition, their family, and society. A large proportion of those treated for schizophrenia do not experience treatment response and are referred to as having "treatment-resistant schizophrenia" (TRS). Expert opinion has long held that the prevalence of TRS among individuals with schizophrenia is 30%, but the basis of this estimate is unclear. This article presents a model developed for estimating the prevalence of TRS in the United States 2014. METHODS An incidence-prevalence-mortality model was developed to estimate the prevalence of TRS in the United States. The model was populated with data from public health agencies and published literature. Prevalence in 2014 was modelled using a Markov cohort simulation for each birth cohort between 1930 to 2014. RESULTS Using different scenarios for baseline incidence, relative risks of mortality, it was estimated that approximately 22% of individuals with schizophrenia would be considered treatment-resistant in 2014. DISCUSSION The results suggests that prevalence of TRS may be somewhat lower than the 30% often reported, however this is highly dependent on the definition of treatment resistance. Methods such as this may help answer epidemiological and health policy questions as well as test the influence of key underlying assumptions.
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Affiliation(s)
- Michael Frank Mørup
- Health Economics & Epidemiology Statistics, Department of Data Science, H Lundbeck A/S, Valby, Denmark
| | - Steven M. Kymes
- H Lundbeck Deerfield, Deerfield, IL, United States of America
| | - Daniel Oudin Åström
- Health Economics & Epidemiology Statistics, Department of Data Science, H Lundbeck A/S, Valby, Denmark
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Sofronov A, Dobrovolskaya A, Trusova A, Getmanenko I, Gvozdetskiy A. The relationship of psychosocial well-being of patients with schizophrenia with clinical, socio-demographic and neurocognitive characteristics. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 120:105-112. [DOI: 10.17116/jnevro2020120062105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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