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Kang J, Lee H, Park J, Kim HJ, Kwon R, Kim S, Fond G, Boyer L, Rahmati M, Smith L, Nehs CJ, Son Y, Kim S, Lee H, Lee J, Kim MS, Kim T, Yon DK. Comorbid physical health outcomes in patients with bipolar disorder: An umbrella review of systematic reviews and meta-analyses. Asian J Psychiatr 2024; 99:104138. [PMID: 38991375 DOI: 10.1016/j.ajp.2024.104138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 05/06/2024] [Accepted: 06/14/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND Although several meta-analyses have examined the association between bipolar disorder (BD) and its comorbid health outcomes, this evidence has not been comprehensively assembled. OBJECTIVE We aimed to systematically review existing meta-analyses based on multiple physical outcomes and validate the evidence level by examining the existing certainty of evidence. METHODS We systematically searched databases, including PubMed/MEDLINE, Embase, Google Scholar, and CINAHL, for articles published up to July 2023. We included meta-analyses of cohort, case-control, and/or cross-sectional studies investigating any comorbid health outcomes in patients with BD. We conducted quality assessments of the included meta-analysis using AMSTAR2. The credibility of findings was categorized into five levels of class and quality of evidence (CE), including convincing, highly suggestive, suggestive, weak, or not significant. RESULTS We analyzed 12 meta-analyses, including 145 original articles, covering 14 unique health outcomes with over 60 million participants across 29 countries and five continents. Among 14 health outcomes, BD was significantly associated with eight comorbid health outcomes, including dementia (equivalent odds ratio [eOR], 2.96 [95 % confidence intervals {CI}, 1.69-5.17]; CE=suggestive), Parkinson's disease (3.35 [1.72-6.53]; CE=suggestive), asthma (1.86 [1.42-2.42]; CE=weak), toxoplasmosis (1.69 [1.21-2.37]; CE=weak), hypertension (1.28 [1.02-1.60]; CE=convincing), breast cancer (1.33 [1.15-1.55]; CE=weak), obesity (1.64 [1.30-1.99]; CE=suggestive), and type 2 diabetes mellitus (1.98 [1.55-2.52]; CE=weak). CONCLUSION Individuals with BD are predisposed to numerous comorbid physical conditions, though these links are supported by various evidence levels and necessitate further studies. It is imperative that physicians be aware of these potential comorbidities in patients with BD and take proactive measures to manage them.
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Affiliation(s)
- Jiseung Kang
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Hyeri Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Rosie Kwon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Guillaume Fond
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hôpitaux de Marseille, Aix Marseille University, Marseille, France
| | - Laurent Boyer
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hôpitaux de Marseille, Aix Marseille University, Marseille, France
| | - Masoud Rahmati
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hôpitaux de Marseille, Aix Marseille University, Marseille, France; Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran; Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Christa J Nehs
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Yejun Son
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Soeun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Biomedical Engineering, Kyung Hee University, Yongin, South Korea
| | - Jinseok Lee
- Department of Biomedical Engineering, Kyung Hee University, Yongin, South Korea
| | - Min Seo Kim
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
| | - Tae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
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Huneke NTM, Amin J, Baldwin DS, Bellato A, Brandt V, Chamberlain SR, Correll CU, Eudave L, Garner M, Gosling CJ, Hill CM, Hou R, Howes OD, Ioannidis K, Köhler-Forsberg O, Marzulli L, Reed C, Sinclair JMA, Singh S, Solmi M, Cortese S. Placebo effects in randomized trials of pharmacological and neurostimulation interventions for mental disorders: An umbrella review. Mol Psychiatry 2024:10.1038/s41380-024-02638-x. [PMID: 38914807 DOI: 10.1038/s41380-024-02638-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 06/17/2024] [Accepted: 06/19/2024] [Indexed: 06/26/2024]
Abstract
There is a growing literature exploring the placebo response within specific mental disorders, but no overarching quantitative synthesis of this research has analyzed evidence across mental disorders. We carried out an umbrella review of meta-analyses of randomized controlled trials (RCTs) of biological treatments (pharmacotherapy or neurostimulation) for mental disorders. We explored whether placebo effect size differs across distinct disorders, and the correlates of increased placebo effects. Based on a pre-registered protocol, we searched Medline, PsycInfo, EMBASE, and Web of Knowledge up to 23.10.2022 for systematic reviews and/or meta-analyses reporting placebo effect sizes in psychopharmacological or neurostimulation RCTs. Twenty meta-analyses, summarising 1,691 RCTs involving 261,730 patients, were included. Placebo effect size varied, and was large in alcohol use disorder (g = 0.90, 95% CI [0.70, 1.09]), depression (g = 1.10, 95% CI [1.06, 1.15]), restless legs syndrome (g = 1.41, 95% CI [1.25, 1.56]), and generalized anxiety disorder (d = 1.85, 95% CI [1.61, 2.09]). Placebo effect size was small-to-medium in obsessive-compulsive disorder (d = 0.32, 95% CI [0.22, 0.41]), primary insomnia (g = 0.35, 95% CI [0.28, 0.42]), and schizophrenia spectrum disorders (standardized mean change = 0.33, 95% CI [0.22, 0.44]). Correlates of larger placebo response in multiple mental disorders included later publication year (opposite finding for ADHD), younger age, more trial sites, larger sample size, increased baseline severity, and larger active treatment effect size. Most (18 of 20) meta-analyses were judged 'low' quality as per AMSTAR-2. Placebo effect sizes varied substantially across mental disorders. Future research should explore the sources of this variation. We identified important gaps in the literature, with no eligible systematic reviews/meta-analyses of placebo response in stress-related disorders, eating disorders, behavioural addictions, or bipolar mania.
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Affiliation(s)
- Nathan T M Huneke
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
- Southern Health NHS Foundation Trust, Southampton, UK.
| | - Jay Amin
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
| | - David S Baldwin
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
- University Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Alessio Bellato
- School of Psychology, University of Nottingham Malaysia, Semenyih, Malaysia
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Valerie Brandt
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Clinic of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hanover, Germany
| | - Samuel R Chamberlain
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
| | - Christoph U Correll
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Luis Eudave
- Faculty of Education and Psychology, University of Navarra, Pamplona, Spain
| | - Matthew Garner
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Corentin J Gosling
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Université Paris Nanterre, DysCo Lab, F-92000, Nanterre, France
- Université de Paris, Laboratoire de Psychopathologie et Processus de Santé, F-92100, Boulogne-Billancourt, France
| | - Catherine M Hill
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Department of Sleep Medicine, Southampton Children's Hospital, Southampton, UK
| | - Ruihua Hou
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- H Lundbeck A/s, Iveco House, Watford, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
| | - Konstantinos Ioannidis
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
| | - Ole Köhler-Forsberg
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Aarhus, Denmark
| | - Lucia Marzulli
- Department of Translational Biomedicine and Neuroscience (DIBRAIN), University of Studies of Bari "Aldo Moro", Bari, Italy
| | - Claire Reed
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Julia M A Sinclair
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Satneet Singh
- Southern Health NHS Foundation Trust, Southampton, UK
| | - Marco Solmi
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- Department of Mental Health, Ottawa Hospital, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program, University of Ottawa, Ottawa, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Samuele Cortese
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Solent NHS Trust, Southampton, UK
- DiMePRe-J-Department of Precision and Regenerative Medicine-Jonic Area, University "Aldo Moro", Bari, Italy
- Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, NY, USA
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Li S, Yang D, Zhou X, Chen L, Liu L, Lin R, Li X, Liu Y, Qiu H, Cao H, Liu J, Cheng Q. Neurological and metabolic related pathophysiologies and treatment of comorbid diabetes with depression. CNS Neurosci Ther 2024; 30:e14497. [PMID: 37927197 PMCID: PMC11017426 DOI: 10.1111/cns.14497] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 09/26/2023] [Accepted: 10/03/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND The comorbidity between diabetes mellitus and depression was revealed, and diabetes mellitus increased the prevalence of depressive disorder, which ranked 13th in the leading causes of disability-adjusted life-years. Insulin resistance, which is common in diabetes mellitus, has increased the risk of depressive symptoms in both humans and animals. However, the mechanisms behind the comorbidity are multi-factorial and complicated. There is still no causal chain to explain the comorbidity exactly. Moreover, Selective serotonin reuptake inhibitors, insulin and metformin, which are recommended for treating diabetes mellitus-induced depression, were found to be a risk factor in some complications of diabetes. AIMS Given these problems, many researchers made remarkable efforts to analyze diabetes complicating depression from different aspects, including insulin resistance, stress and Hypothalamic-Pituitary-Adrenal axis, neurological system, oxidative stress, and inflammation. Drug therapy, such as Hydrogen Sulfide, Cannabidiol, Ascorbic Acid and Hesperidin, are conducive to alleviating diabetes mellitus and depression. Here, we reviewed the exact pathophysiology underlying the comorbidity between depressive disorder and diabetes mellitus and drug therapy. METHODS The review refers to the available literature in PubMed and Web of Science, searching critical terms related to diabetes mellitus, depression and drug therapy. RESULTS In this review, we found that brain structure and function, neurogenesis, brain-derived neurotrophic factor and glucose and lipid metabolism were involved in the pathophysiology of the comorbidity. Obesity might lead to diabetes mellitus and depression through reduced adiponectin and increased leptin and resistin. In addition, drug therapy displayed in this review could expand the region of potential therapy. CONCLUSIONS The review summarizes the mechanisms underlying the comorbidity. It also overviews drug therapy with anti-diabetic and anti-depressant effects.
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Affiliation(s)
- Sixin Li
- Department of Psychiatry, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Dong Yang
- Department of Psychiatry, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Xuhui Zhou
- Department of Psychiatry, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Lu Chen
- Department of Gastroenterology, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of GastroenterologyBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Lini Liu
- Department of Psychiatry, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Ruoheng Lin
- Department of Psychiatry, National Clinical Research Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Xinyu Li
- Department of Psychiatry, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Ying Liu
- Department of Psychiatry, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Huiwen Qiu
- Department of Psychiatry, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Hui Cao
- Department of Psychiatry, The School of Clinical MedicineHunan University of Chinese MedicineChangshaHunanChina
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaHunanChina
| | - Jian Liu
- Center for Medical Research and Innovation, The First Hospital, Hunan University of Chinese MedicineChangshaHunanChina
| | - Quan Cheng
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaHunanChina
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaHunanChina
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Xu L, Zhai X, Shi D, Zhang Y. Depression and coronary heart disease: mechanisms, interventions, and treatments. Front Psychiatry 2024; 15:1328048. [PMID: 38404466 PMCID: PMC10884284 DOI: 10.3389/fpsyt.2024.1328048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 01/24/2024] [Indexed: 02/27/2024] Open
Abstract
Coronary heart disease (CHD), a cardiovascular condition that poses a significant threat to human health and life, has imposed a substantial economic burden on the world. However, in contrast to conventional risk factors, depression emerges as a novel and independent risk factor for CHD. This condition impacts the onset and progression of CHD and elevates the risk of adverse cardiovascular prognostic events in those already affected by CHD. As a result, depression has garnered increasing global attention. Despite this growing awareness, the specific mechanisms through which depression contributes to the development of CHD remain unclear. Existing research suggests that depression primarily influences the inflammatory response, Hypothalamic-pituitary-adrenocortical axis (HPA) and Autonomic Nervous System (ANS) dysfunction, platelet activation, endothelial dysfunction, lipid metabolism disorders, and genetics, all of which play pivotal roles in CHD development. Furthermore, the effectiveness and safety of antidepressant treatment in CHD patients with comorbid depression and its potential impact on the prognosis of CHD patients have become subjects of controversy. Further investigation is warranted to address these unresolved questions.
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Affiliation(s)
- Linjie Xu
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
| | - Xu Zhai
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Dazhuo Shi
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Ying Zhang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
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Huang S, Wen X, Liu Z, Li C, He Y, Liang J, Huang W. Distinguishing functional and structural MRI abnormalities between bipolar and unipolar depression. Front Psychiatry 2023; 14:1343195. [PMID: 38169701 PMCID: PMC10758430 DOI: 10.3389/fpsyt.2023.1343195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
Background This study aims to investigate the underlying characteristics of spontaneous brain activity by analyzing the volumes of the hippocampus and parahippocampal gyrus, as well as the fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo), in order to differentiate between bipolar disorder (BD) and unipolar depressive disorder. Methods A total of 46 healthy controls, 58 patients with major depressive disorder (MDD), and 61 patients with BD participated in the study and underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. The researchers calculated the differences in volume, fALFF, and ReHo values among the three groups. Additionally, they conducted correlation analyses to examine the relationships between clinical variables and the aforementioned brain measures. Results The results showed that the BD group exhibited increased fALFF in the hippocampus compared to the healthy control (HC) and MDD groups. Furthermore, the ReHo values in the hippocampus and parahippocampal gyrus were significantly higher in the BD group compared to the HC group. The findings from the person correlation analysis indicated a positive relationship between ReHo values in the hippocampus and both HAMD and HAMA scores. Moreover, there was no correlation between the volumes, fALFF, and ReHo values in the hippocampus and parahippocampal gyrus, and cognitive function levels (RBANS). Conclusion Taken together, these aberrant patterns of intrinsic brain activity in the hippocampus and parahippocampal gyrus may serve as quantitative indicators for distinguishing between BD and unipolar depression.
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Affiliation(s)
| | | | | | | | | | - Jiaquan Liang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Wei Huang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
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Chow RTS, Whiting D, Favril L, Ostinelli E, Cipriani A, Fazel S. An umbrella review of adverse effects associated with antipsychotic medications: the need for complementary study designs. Neurosci Biobehav Rev 2023; 155:105454. [PMID: 37925094 PMCID: PMC10914636 DOI: 10.1016/j.neubiorev.2023.105454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/04/2023] [Accepted: 10/30/2023] [Indexed: 11/06/2023]
Abstract
Antipsychotic medications are widely prescribed in psychotic illnesses and other mental disorders. Effectiveness is well-established, particularly for reducing symptoms such as delusions and hallucinations, but can be impacted by tolerability. Adverse effects are wide-ranging, and vary between antipsychotics, which is clinically important. This umbrella review aimed to comprehensively summarise the extent and quality of evidence for adverse effects associated with antipsychotic use in people with mental disorders. We included 32 meta-analyses of randomised trials and observational studies. The overall robustness of reported associations was considered in terms of review quality, heterogeneity, excess significance bias, and prediction intervals. Using this approach, endocrine and metabolic, movement-related, and sedation and sleep problems were the clinical domains with strongest evidence. The overall quality of included meta-analyses was low, and individual adverse effects were not typically examined in meta-analyses of both randomised trials and observational study designs. Future reviews should focus on adhering to methodological guidelines, consider the complementary strengths of different study designs, and integrate clinically relevant information on absolute rates and severity of adverse effects.
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Affiliation(s)
- Rachel T S Chow
- Department of Psychiatry, University of Oxford, Oxford, England, UK
| | - Daniel Whiting
- Institute of Mental Health, University of Nottingham, Nottingham, England, UK; Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, England, UK
| | - Louis Favril
- Faculty of Law and Criminology, Ghent University, Ghent, Belgium
| | | | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, England, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, England, UK
| | - Seena Fazel
- Department of Psychiatry, University of Oxford, Oxford, England, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, England, UK.
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Ye F, Lee JJ, Xue D, Yu DSF. Acceptance and Commitment Therapy Among Informal Caregivers of People With Chronic Health Conditions: A Systematic Review and Meta-Analysis. JAMA Netw Open 2023; 6:e2346216. [PMID: 38051530 DOI: 10.1001/jamanetworkopen.2023.46216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2023] Open
Abstract
Importance Although there is substantial evidence to suggest the health benefits of acceptance and commitment therapy (ACT) among informal caregivers of people with chronic health conditions, the great variation in intervention designs among published studies limits its application. Objectives To identify intervention characteristics of ACT that are associated with improved psychological health and to assess the acceptability of ACT among informal caregivers. Data Sources Seven English- and 3 Chinese-language databases without limits on publication dates, the reference lists of previous reviews, and gray literature were searched up to February 2023. Study Selection Randomized clinical trials comparing the effect of ACT vs control groups on improving psychological health among informal caregivers. Data Extraction and Synthesis Two reviewers independently screened searched records and extracted data from eligible studies. Random-effects meta-analysis and mixed-effects metaregression were performed. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed. Main Outcomes and Measures Psychological health outcomes (eg, depressive symptoms) measured by valid measurements and the acceptability of ACT based on identified parameters. Results A total of 29 studies with 2010 participants, published between 2015 and 2023, were identified. ACT showed moderate to large effect sizes for improving psychological health at postintervention assessments (Hedges g range, -0.55 [95% CI, -0.98 to -0.12] to -1.14 [95% CI, -1.83 to -0.45]) and at 1-to-3-month and 4-to-6-month follow-ups (Hedges g range, -0.47 [95% CI, -0.69 to -0.25] to -1.29 [95% CI, -2.33 to -0.24]). Multivariable metaregression analysis regarding intervention characteristics found that ACT delivered in a mixed individual- and group-based format, face-to-face, or through more intervention sessions was associated with greater improvements for experiential avoidance (face-to-face: β = -1.170 [95% CI, -2.020 to -0.319]; number of sessions: β = -0.242 [95% CI, -0.353 to -0.130]), depressive symptoms (mixed delivery format: β = -2.583 [95% CI, -4.845 to -0.321]; face-to-face: β = -1.555 [95% CI, -3.002 to -0.108]), or anxiety symptoms (face-to-face: β = -1.241 [95% CI, -2.337 to -0.146]). In general, ACT had low attrition rates (11%), and participants' adherence (51%-80%) and satisfactory ratings (72%-95%) lend support to its acceptability. Conclusions and Relevance This systematic review and meta-analysis found that ACT was consistently associated with improvements in psychological health, supporting its application to improve informal care for chronic disease management. This review provides specific details on the design parameters of ACT for achieving greater efficacy.
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Affiliation(s)
- Fen Ye
- School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Jung Jae Lee
- School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Dandan Xue
- School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Doris Sau-Fung Yu
- School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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Huneke NT, Amin J, Baldwin DS, Chamberlain SR, Correll CU, Garner M, Hill CM, Hou R, Howes OD, Sinclair JM, Solmi M, Cortese S. Placebo effects in mental health disorders: protocol for an umbrella review. BMJ Open 2023; 13:e073946. [PMID: 38035741 PMCID: PMC10689367 DOI: 10.1136/bmjopen-2023-073946] [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: 03/23/2023] [Accepted: 11/06/2023] [Indexed: 12/02/2023] Open
Abstract
INTRODUCTION Given the high prevalence of mental health disorders and their significant socioeconomic burden, there is a need to develop improved treatments, and to evaluate them through placebo-controlled trials. However, the magnitude of the placebo response in randomised controlled trials to test medications may be substantial, affecting their interpretation. Therefore, improved understanding of the patient, trial and mental disorder factors that influence placebo responses would inform clinical trial design to better detect active treatment effects. There is a growing literature exploring the placebo response within specific mental health disorders, but no overarching synthesis of this research has been produced to date. We present a protocol for an umbrella review of systematic reviews and/or meta-analyses in which we aim to understand the effect size and potential predictors of placebo response within, and across, mental health disorders. METHODS AND ANALYSIS We will systematically search databases (Medline, PsycINFO, EMBASE+EMBASE Classic, Web of Knowledge) for systematic reviews and/or meta-analyses that report placebo effect size in clinical trials in patients with mental health disorders (initial search date 23 October 2022). Screening of abstracts and full texts will be done in pairs. We will extract data to qualitatively examine how placebo effect size varies across mental health disorders. We also plan to qualitatively summarise predictors of increased placebo response identified either quantitatively (eg, through meta-regression) or qualitatively. Risk of bias will be assessed using the AMSTAR-2 tool. We aim to not only summarise the current literature but also to identify gaps in knowledge and generate further hypotheses. ETHICS AND DISSEMINATION We do not believe there are any specific ethical considerations relevant to this study. We will publish the results in a peer-reviewed journal.
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Affiliation(s)
- Nathan Tm Huneke
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
| | - Jay Amin
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
| | - David S Baldwin
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
- University Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Samuel R Chamberlain
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
| | - Christoph U Correll
- Psychiatry, The Zucker Hillside Hospital, Glen Oaks, New York, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York, USA
| | - Matthew Garner
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Catherine M Hill
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Department of Sleep Medicine, Southampton Children's Hospital, Southampton, UK
| | - Ruihua Hou
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
| | - Oliver D Howes
- Department of Psychosis Studies, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- H Lundbeck A/s, Iveco House, Watford, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
| | - Julia Ma Sinclair
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
| | - Marco Solmi
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program, University of Ottawa, Ottowa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Samuele Cortese
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Solent NHS Trust, Southampton, UK
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
- Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, New York, USA
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9
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Berk M, Köhler-Forsberg O, Turner M, Penninx BWJH, Wrobel A, Firth J, Loughman A, Reavley NJ, McGrath JJ, Momen NC, Plana-Ripoll O, O'Neil A, Siskind D, Williams LJ, Carvalho AF, Schmaal L, Walker AJ, Dean O, Walder K, Berk L, Dodd S, Yung AR, Marx W. Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management. World Psychiatry 2023; 22:366-387. [PMID: 37713568 PMCID: PMC10503929 DOI: 10.1002/wps.21110] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/17/2023] Open
Abstract
Populations with common physical diseases - such as cardiovascular diseases, cancer and neurodegenerative disorders - experience substantially higher rates of major depressive disorder (MDD) than the general population. On the other hand, people living with MDD have a greater risk for many physical diseases. This high level of comorbidity is associated with worse outcomes, reduced adherence to treatment, increased mortality, and greater health care utilization and costs. Comorbidity can also result in a range of clinical challenges, such as a more complicated therapeutic alliance, issues pertaining to adaptive health behaviors, drug-drug interactions and adverse events induced by medications used for physical and mental disorders. Potential explanations for the high prevalence of the above comorbidity involve shared genetic and biological pathways. These latter include inflammation, the gut microbiome, mitochondrial function and energy metabolism, hypothalamic-pituitary-adrenal axis dysregulation, and brain structure and function. Furthermore, MDD and physical diseases have in common several antecedents related to social factors (e.g., socioeconomic status), lifestyle variables (e.g., physical activity, diet, sleep), and stressful live events (e.g., childhood trauma). Pharmacotherapies and psychotherapies are effective treatments for comorbid MDD, and the introduction of lifestyle interventions as well as collaborative care models and digital technologies provide promising strategies for improving management. This paper aims to provide a detailed overview of the epidemiology of the comorbidity of MDD and specific physical diseases, including prevalence and bidirectional risk; of shared biological pathways potentially implicated in the pathogenesis of MDD and common physical diseases; of socio-environmental factors that serve as both shared risk and protective factors; and of management of MDD and physical diseases, including prevention and treatment. We conclude with future directions and emerging research related to optimal care of people with comorbid MDD and physical diseases.
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Affiliation(s)
- Michael Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Megan Turner
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Brenda W J H Penninx
- Department of Psychiatry and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Anna Wrobel
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Amy Loughman
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Nicola J Reavley
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - John J McGrath
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, QLD, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Natalie C Momen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Oleguer Plana-Ripoll
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Adrienne O'Neil
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Dan Siskind
- Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, QLD, Australia
- Metro South Addiction and Mental Health Service, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Lana J Williams
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Andre F Carvalho
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Lianne Schmaal
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Adam J Walker
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Olivia Dean
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Ken Walder
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Lesley Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Seetal Dodd
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Alison R Yung
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Wolfgang Marx
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
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10
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Yildiz A, Siafis S, Mavridis D, Vieta E, Leucht S. Comparative efficacy and tolerability of pharmacological interventions for acute bipolar depression in adults: a systematic review and network meta-analysis. Lancet Psychiatry 2023; 10:693-705. [PMID: 37595997 DOI: 10.1016/s2215-0366(23)00199-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 06/01/2023] [Accepted: 06/06/2023] [Indexed: 08/20/2023]
Abstract
BACKGROUND Bipolar depression constitutes a major public health problem due to its substantial burden of disease. Although pharmacological interventions are available, guidelines required updated evidence synthesis to improve their current recommendations. In order to inform evidence-based prescribing, we investigated the comparative efficacy and tolerability of pharmacological interventions for acute bipolar depression. METHODS We conducted a systematic review and network meta-analysis. We searched for randomised controlled trials comparing pharmacological interventions with each other or placebo in adults with acute bipolar depression (type I, type II, or not otherwise specified), excluding those with substance misuse, unipolar depression, or schizophrenia, in MEDLINE, Embase, PsycINFO, Google Scholar, Cochrane Library, Web of Knowledge, CINAHL, and LILACS from database inception up to April 13, 2023. Criteria for eligibility were a duration of 2-16 weeks with masked outcome assessments, and we included combination, add-on design, and monotherapy studies. The co-primary outcomes were depressive symptoms, examined with standardised mean differences (SMDs), and manic switch, examined with odds ratios (ORs). We also investigated dropouts due to any reason, inefficacy, adverse events, and important side-effects as secondary outcomes. The confidence in the evidence was evaluated using Confidence-In-Network-Meta-Analysis (CINeMA). The study was registered with PROSPERO, CRD42020171726. RESULTS We analysed data from 101 randomised controlled trials covering 20 081 participants, 8063 men (41·7%) and 11 263 women (58·3%; sex not available in four studies), mean age 41·0 years (range of means 28·7-53·6 years), and 68 medications and placebo. Ethnicity data were not available. With moderate confidence in the evidence, olanzapine plus fluoxetine, quetiapine, olanzapine, lurasidone, lumateperone, cariprazine, and lamotrigine were more efficacious than placebo in reducing depressive symptoms, with SMDs ranging from 0·41 (95% CI 0·19-0·64) for olanzapine plus fluoxetine to 0·16 (0·03-0·29) for lamotrigine. Several other drugs might also be efficacious, but the confidence in the evidence was very low to low. Antidepressants as a class seem to be efficacious, but had a higher risk for manic switch compared to antipsychotics. Medications differed in their side-effect profiles. INTERPRETATION This is, to our knowledge, the largest network meta-analysis of pharmacotherapy for bipolar depression to date. Olanzapine plus fluoxetine, quetiapine, olanzapine, lurasidone, lumateperone, cariprazine, and lamotrigine were found to be more efficacious than placebo in adults with acute bipolar depression, with good confidence in the evidence, and to differ in their side-effect profiles. These findings can inform evidence-based care and the development of treatment guidelines internationally. FUNDING None.
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Affiliation(s)
- Ayşegül Yildiz
- Department of Psychiatry, Dokuz Eylül University, Izmir, Turkey
| | - Spyridon Siafis
- Section for Evidence-Based Medicine in Psychiatry and Psychotherapy, Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany.
| | - Dimitris Mavridis
- Department of Primary Education, University of Ioannina, Ioannina, Greece
| | - Eduard Vieta
- Bipolar Disorders Program, Institute of Clinical Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Stefan Leucht
- Section for Evidence-Based Medicine in Psychiatry and Psychotherapy, Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
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11
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Marx W, Penninx BWJH, Solmi M, Furukawa TA, Firth J, Carvalho AF, Berk M. Major depressive disorder. Nat Rev Dis Primers 2023; 9:44. [PMID: 37620370 DOI: 10.1038/s41572-023-00454-1] [Citation(s) in RCA: 42] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/11/2023] [Indexed: 08/26/2023]
Abstract
Major depressive disorder (MDD) is characterized by persistent depressed mood, loss of interest or pleasure in previously enjoyable activities, recurrent thoughts of death, and physical and cognitive symptoms. People with MDD can have reduced quality of life owing to the disorder itself as well as related medical comorbidities, social factors, and impaired functional outcomes. MDD is a complex disorder that cannot be fully explained by any one single established biological or environmental pathway. Instead, MDD seems to be caused by a combination of genetic, environmental, psychological and biological factors. Treatment for MDD commonly involves pharmacological therapy with antidepressant medications, psychotherapy or a combination of both. In people with severe and/or treatment-resistant MDD, other biological therapies, such as electroconvulsive therapy, may also be offered.
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Affiliation(s)
- Wolfgang Marx
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia.
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
- On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ottawa, Ontario, Canada
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Andre F Carvalho
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia
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12
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Glucose and Lipid Profiles Predict Anthropometric Changes in Drug-Naïve Adolescents Starting Treatment with Risperidone or Sertraline: A Pilot Study. Biomedicines 2022; 11:biomedicines11010048. [PMID: 36672556 PMCID: PMC9855642 DOI: 10.3390/biomedicines11010048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/15/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022] Open
Abstract
Psychiatric disorders are associated with cardiometabolic diseases, partly due to adverse drug effects with individual risk variabilities. Risperidone and sertraline are widely used for youths. Although they may be exposed to anthropometric changes, few data about this population exist. We evaluated the correlation between several blood parameters and body changes in a very small group of drug-naïve adolescents who had started risperidone or sertraline. We examined weight, waist circumference (WC), WC/height ratio and body mass index (BMI) at baseline (T0) and after at least three months of therapy (T1), and blood glucose and lipid profiles at T0. Here, we show significant increases in several anthropometric parameters in both groups, a negative correlation between HDL and ΔWC in the risperidone group and positive correlations between insulin and ΔBMI and between HOMA-IR and ΔBMI in the sertraline group. Despite the sample size, these results are important because it is difficult to study adolescents who are long-term-compliant with psychotropic drugs. This pilot study supports the importance of future large-scale investigations to understand the metabolic risk profiles of psychotropic drugs, their individual vulnerabilities and their underlying mechanisms. Simultaneous guideline-based psychiatric and metabolic interventions should be part of daily practice.
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13
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Contreras-Osorio F, Ramirez-Campillo R, Cerda-Vega E, Campos-Jara R, Martínez-Salazar C, Reigal RE, Hernández-Mendo A, Carneiro L, Campos-Jara C. Effects of Physical Exercise on Executive Function in Adults with Depression: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192215270. [PMID: 36429985 PMCID: PMC9690406 DOI: 10.3390/ijerph192215270] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/16/2022] [Accepted: 11/16/2022] [Indexed: 05/31/2023]
Abstract
Executive function is among the most affected cognitive dimensions in depression. Physical exercise may improve executive function (e.g., working memory, inhibition, cognitive flexibility), although this is without consensus on adults with depression. Through this systematic review, we aim to elucidate the effects of physical exercise programs on executive functions in adults with depression. The literature search was performed in four relevant electronic databases, combining keywords and medical subject headings, from inception until September 2022. Controlled interventions, involving adults with depression, and reporting working memory, inhibition, and/or cognitive flexibility pre-post-intervention data, were considered includable. Results from meta-analyses included effect size (ES, i.e., Hedges' g) values reported with 95% confidence intervals (95%CIs), with p set at ≤0.05. Seven studies were included, including 202 men and 457 women (age: 21.0-51.2 years; mild-moderate depression). For working memory, a small favoring effect was observed in the experimental groups compared with controls (ES = 0.33, 95%CI = 0.04-0.61; p = 0.026; I2 = 64.9%). For inhibition, physical exercise had a small favoring non-significant effect compared with controls (ES = 0.28, 95%CI = -0.17-0.74; p = 0.222; I2 = 72.4%). Compared with the control group, physical exercise had a trivial effect on cognitive flexibility (ES = 0.09, 95%CI = -0.21-0.39; p = 0.554; I2 = 68.4%). In conclusion, physical exercise interventions may improve working memory behavioral measures in adults with mild-to-moderate depression when compared with active and passive control conditions. However, the reduced number of available high-quality studies precludes more lucid conclusions.
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Affiliation(s)
- Falonn Contreras-Osorio
- Exercise and Rehabilitation Sciences Institute, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile
| | - Rodrigo Ramirez-Campillo
- Exercise and Rehabilitation Sciences Institute, School of Physical Therapy, Department of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile
| | - Enrique Cerda-Vega
- Pedagogy in Physical Education and Health Career, Department of Health Science, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
| | | | - Cristian Martínez-Salazar
- Department of Physical Education, Sports, and Recreation, Pedagogy in Physical Education, School of Education and Social Sciences and Humanities, Universidad de La Frontera, Temuco 4780000, Chile
| | - Rafael E. Reigal
- Department of Social Psychology, Social Anthropology, Social Work and Social Services, Universidad de Málaga, 29071 Málaga, Spain
| | - Antonio Hernández-Mendo
- Department of Social Psychology, Social Anthropology, Social Work and Social Services, Universidad de Málaga, 29071 Málaga, Spain
| | - Lara Carneiro
- Physical Education Department, College of Education, United Arab Emirates University, Abu Dhabi 112612, United Arab Emirates
- Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, University of Maia, ISMAI, 4475-690 Maia, Portugal
| | - Christian Campos-Jara
- Exercise and Rehabilitation Sciences Institute, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile
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