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Llaurador-Coll M, Cabezas Á, Algora MJ, Solé M, Vilella E, Sánchez-Gistau V. Sex differences in the association of overweight with cognitive performance in individuals with first-episode psychosis. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:95. [PMID: 39438485 PMCID: PMC11496804 DOI: 10.1038/s41537-024-00521-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 10/09/2024] [Indexed: 10/25/2024]
Abstract
Cognitive deficits and overweight are prominent challenges in the treatment of psychosis, which have a direct impact on patients' quality of life. We aim to determine whether there is an association of overweight with cognitive performance and whether there are sex differences in this association. We included 170 individuals with first-episode psychosis (FEP) (mean age 23.08 years, 32.9% females) attending an early intervention service who underwent clinical, biometric, and cognitive assessments by the MATRICS Consensus Cognitive Battery. A set of two-way analyses of covariance (ANCOVAs) were conducted for each cognitive test. Sex, overweight, and their interaction were included as factors. Nearly 34% of the participants were overweight without differences between males and females. The excess of weight did not exert any main effect on cognition; however, overweight females performed significantly worse than non-overweight females in processing speed, verbal learning and memory, reasoning and problem-solving, and global cognitive function, whereas in males, there were no differences. Our findings highlight that sex matters in the study of metabolic and cognitive factors in FEP to develop targeted interventions based on sex perspectives.
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Affiliation(s)
- Martí Llaurador-Coll
- Hospital Universitari Institut Pere Mata (HU-IPM), Ctra de l'Institut Pere Mata, s/n, 43206, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Av. Josep Laporte, 2, 43204, Reus, Spain
- Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), C. Sant Llorenç, 21, 43201, Reus, Spain
- Centro de Investigación Biomédica En Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain
| | - Ángel Cabezas
- Hospital Universitari Institut Pere Mata (HU-IPM), Ctra de l'Institut Pere Mata, s/n, 43206, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Av. Josep Laporte, 2, 43204, Reus, Spain
- Centro de Investigación Biomédica En Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain
| | - M José Algora
- Hospital Universitari Institut Pere Mata (HU-IPM), Ctra de l'Institut Pere Mata, s/n, 43206, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Av. Josep Laporte, 2, 43204, Reus, Spain
- Centro de Investigación Biomédica En Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain
| | - Montse Solé
- Hospital Universitari Institut Pere Mata (HU-IPM), Ctra de l'Institut Pere Mata, s/n, 43206, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Av. Josep Laporte, 2, 43204, Reus, Spain
- Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), C. Sant Llorenç, 21, 43201, Reus, Spain
- Centro de Investigación Biomédica En Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain
| | - Elisabet Vilella
- Hospital Universitari Institut Pere Mata (HU-IPM), Ctra de l'Institut Pere Mata, s/n, 43206, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Av. Josep Laporte, 2, 43204, Reus, Spain
- Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), C. Sant Llorenç, 21, 43201, Reus, Spain
- Centro de Investigación Biomédica En Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain
| | - Vanessa Sánchez-Gistau
- Hospital Universitari Institut Pere Mata (HU-IPM), Ctra de l'Institut Pere Mata, s/n, 43206, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Av. Josep Laporte, 2, 43204, Reus, Spain.
- Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), C. Sant Llorenç, 21, 43201, Reus, Spain.
- Centro de Investigación Biomédica En Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain.
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Deng F, Ma J. Gender Differences in Prevalence and Associated Factors of Dyslipidemia in Initial-Treatment and Drug-Naïve Schizophrenia Patients. Neuropsychiatr Dis Treat 2024; 20:957-966. [PMID: 38737771 PMCID: PMC11088862 DOI: 10.2147/ndt.s457631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/23/2024] [Indexed: 05/14/2024] Open
Abstract
Background Dyslipidemia is frequently comorbid with schizophrenia (SCZ), and both conditions often demonstrate significant gender differences in their clinical features. This study specifically focuses on investigating the prevalence of dyslipidemia and the factors that contribute to it in initial-treatment and drug-naïve (ITDN) SCZ patients, specifically focusing on gender differences. Methods A total of 224 male ITDN SCZ patients and 424 female ITDN SCZ patients were included in this study. Socio-demographic and general clinical data of the patients were collected, and routine biochemical parameters, such as lipid levels, fasting blood glucose, thyroid function, renal function, and blood cell counts, were measured. Patients were also assessed for psychopathology and disease severity using the Positive and Negative Syndrome Scale (PANSS) and the Clinical Global Impression Scale - Severity of Illness (CGI-SI), respectively. In addition, a lipids score was calculated for assessing the severity of dyslipidemia. Results The study revealed that the prevalence of dyslipidemia in male patients was 34.02% (83/224), whereas 33.25% (141/424) in females, indicating no statistically significant difference (χ2 = 0.04, p = 0.841). For males, the risk factors for dyslipidemia were high education levels and diastolic blood pressure (DBP), while red blood cell count (RBC) as a protective factor. Additionally, DBP was identified as a risk factor for dyslipidemia score. In females, systolic blood pressure (SBP) was identified as a risk factor for dyslipidemia, while being married and creatinine (CRE) levels were found to be protective factors. Moreover, SBP was revealed as a risk factor for dyslipidemia score. Conclusion No significant gender differences were observed in the prevalence of dyslipidemia among the ITDN SCZ patients. However, notable gender differences were identified in the factors influencing dyslipidemia and its severity within this group. These findings suggest the necessity of implementing gender-specific interventions to address the potential risk factors associated with dyslipidemia.
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Affiliation(s)
- Fang Deng
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei, People’s Republic of China
| | - Jun Ma
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, People’s Republic of China
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Anthony J, Johnson W, Papathomas A, Breen K, Kinnafick F. Differences in body mass index trajectories of adolescent psychiatric inpatients by sex, age, diagnosis and medication: an exploratory longitudinal, mixed effects analysis. Child Adolesc Ment Health 2023; 28:318-326. [PMID: 35798687 PMCID: PMC10946920 DOI: 10.1111/camh.12575] [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] [Accepted: 04/29/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Adolescents in secure psychiatric care typically report high obesity rates. However, longitudinal research exploring the rate and extent of change is sparse. This study aimed to analyse sex differences in longitudinal body mass index (BMI) change for adolescents receiving treatment in a secure psychiatric hospital. METHODS The sample comprised 670 adolescents in secure psychiatric care. BMI trajectories from admission to 50 months of hospitalisation were produced using sex-stratified multilevel models. Systematic difference in mean BMI trajectories according to age at admission (14, 15, 16, or 17 years), medication (Olanzapine or Sodium Valproate), and primary diagnosis (Psychotic, non-Psychotic or Functional/behavioural disorders) were investigated. RESULTS Together, males and females experienced a mean BMI increase of 2.22 m/kg2 over the 50-month period. For females, BMI increased from 25.69 m/kg2 to 30.31 m/kg2 , and for males, reduced from 25.01 m/kg2 to 23.95 m/kg2 . From 30 to 50 months, a plateau was observed for females and a reduction in BMI observed for males. Psychotic disorders in males (β 3.87; CI 1.1-6.7) were associated with the greatest rate of BMI change. For medication, Olanzapine in females was associated with the greatest rate of change (β1.78; CI -.89-4.47). CONCLUSIONS This is the first longitudinal study exploring longitudinal BMI change for adolescent inpatients. Results highlight that individual differences in adolescent inpatients result in differing levels of risk to weight gain in secure care. Specifically, males with psychotic disorders and females taking Olanzapine present the greatest risk of weight gain. This has implications for the prioritisation of interventions for those most at risk of weight gain.
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Affiliation(s)
- Justine Anthony
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health SciencesLoughborough UniversityLoughboroughUK
- St Andrew's HealthcareNorthamptonUK
| | - William Johnson
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health SciencesLoughborough UniversityLoughboroughUK
| | - Anthony Papathomas
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health SciencesLoughborough UniversityLoughboroughUK
| | - Kieran Breen
- Research CentreSt Andrew's HealthcareNorthamptonUK
| | - Florence‐Emilie Kinnafick
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health SciencesLoughborough UniversityLoughboroughUK
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Provenzani U, De Micheli A, Damiani S, Oliver D, Brondino N, Fusar-Poli P. Physical Health in Clinical High Risk for Psychosis Individuals: A Cross-Sectional Study. Brain Sci 2023; 13:128. [PMID: 36672109 PMCID: PMC9857012 DOI: 10.3390/brainsci13010128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 12/30/2022] [Accepted: 01/09/2023] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND The clinical high risk for psychosis (CHR-P) phase represents an opportunity for prevention and early intervention in young adults, which also could focus on improving physical health trajectories. METHODS We conducted a RECORD-compliant clinical register-based cohort study. The primary outcome was to describe the physical health of assessed CHR-P individuals, obtained via Electronic Health Records at the South London and Maudsley (SLaM) NHS Foundation Trust, UK (January 2013-October 2020). RESULTS The final database included 194 CHR-P subjects (46% female). Mean age was 23.70 ± 5.12 years. Percentage of tobacco smokers was 41% (significantly higher than in the age-matched general population [24%]). We found that 49% of subjects who consumed alcohol had an AUDIT-C (Alcohol Use Disorder Identification Test) score above 5 (hazardous drinking), with an average score of 4.94 (significantly higher than in the general population [2.75]). Investigating diet revealed low fiber intake in most subjects and high saturated fat intake in 10% of the individuals. We found that 47% of CHR-P subjects met the UK recommended physical activity guidelines (significantly lower than in the general population [66%]). Physical parameters (e.g., weight, heart rate, blood pressure) were not significantly different from the general population. CONCLUSIONS This evidence corroborates the need for monitoring physical health parameters in CHR-P subjects, to implement tailored interventions that target daily habits.
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Affiliation(s)
- Umberto Provenzani
- Department of Brain and Behavioural Sciences, University of Pavia, 27100 Pavia, Italy
- Early Psychosis, Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
| | - Andrea De Micheli
- Early Psychosis, Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
| | - Stefano Damiani
- Department of Brain and Behavioural Sciences, University of Pavia, 27100 Pavia, Italy
| | - Dominic Oliver
- Early Psychosis, Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
| | - Natascia Brondino
- Department of Brain and Behavioural Sciences, University of Pavia, 27100 Pavia, Italy
| | - Paolo Fusar-Poli
- Department of Brain and Behavioural Sciences, University of Pavia, 27100 Pavia, Italy
- Early Psychosis, Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
- OASIS Service, South London and Maudsley NHS Foundation Trust, London SE11 5DL, UK
- Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London SE5 8AF, UK
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Alonso Y, Miralles C, Algora MJ, Valiente-Pallejà A, Sánchez-Gistau V, Muntané G, Labad J, Vilella E, Martorell L. Risk factors for metabolic syndrome in individuals with recent-onset psychosis at disease onset and after 1-year follow-up. Sci Rep 2022; 12:11386. [PMID: 35794221 PMCID: PMC9259625 DOI: 10.1038/s41598-022-15479-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/24/2022] [Indexed: 11/19/2022] Open
Abstract
Metabolic syndrome (MetS) is a cluster of parameters encompassing the most dangerous heart attack risk factors, associated with increased morbidity and mortality. It is highly prevalent in recent-onset psychosis (ROP) patients. In this pilot study, we evaluated MetS parameters (fasting glucose, high-density lipoprotein (HDL) cholesterol (HDL-c), fasting triglycerides, waist circumference, and systolic and diastolic blood pressure), clinical symptoms, pharmacological treatment, lifestyle, and inflammatory markers in 69 patients with ROP and 61 healthy controls (HCs). At baseline, waist circumference (p = 0.005) and fasting triglycerides (p = 0.007) were higher in patients with ROP than in HCs. At the 1-year follow-up, patients showed clinical improvement, with a reduction in the positive and negative syndrome scale (PANSS) score (p < 0.001), dietary intake (p = 0.001), and antipsychotic medication dose (p < 0.001); however, fasting glucose (p = 0.011), HDL-c (p = 0.013) and waist circumference worsened (p < 0.001). We identified sex, age, BMI, dietary intake, physical activity, daily tobacco use, daily cannabis use, and antipsychotic doses as risk factors contributing to baseline MetS parameters. After 1-year follow-up, those factors plus the PANSS and Calgary Depression Scale for Schizophrenia (CDSS) scores were associated with MetS parameters. Further studies are needed to understand the contributions of the studied risk factors in patients with ROP at onset and during disease progression.
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Foiselle M, Barbosa S, Godin O, Wu CL, Boukouaci W, Andre M, Aouizerate B, Berna F, Barau C, Capdevielle D, Vidailhet P, Chereau I, Davidovic L, Dorey JM, Dubertret C, Dubreucq J, Faget C, Fond G, Leigner S, Llorca PM, Mallet J, Misdrahi D, Martinuzzi E, Passerieux C, Rey R, Pignon B, Urbach M, Schürhoff F, Glaichenhaus N, Leboyer M, Tamouza R. Immuno-metabolic profile of patients with psychotic disorders and metabolic syndrome. Results from the FACE-SZ cohort. Brain Behav Immun Health 2022; 22:100436. [PMID: 35469211 PMCID: PMC9034311 DOI: 10.1016/j.bbih.2022.100436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 02/26/2022] [Indexed: 11/30/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component of both MetS and schizophrenia (SZ), this study investigated the relationship between immune alterations and MetS in patients with SZ, whilst controlling the impact of confounding clinical characteristics including psychiatric symptoms and comorbidities, history of childhood maltreatment and psychotropic treatments. Method A total of 310 patients meeting DSM-IV criteria for SZ or schizoaffective disorders (SZA), with or without MetS, were systematically assessed and included in the FondaMental Advanced Centers of Expertise for Schizophrenia (FACE-SZ) cohort. Detailed clinical characteristics of patients, including psychotic symptomatology, psychiatric comorbidities and history of childhood maltreatment were recorded and the serum levels of 18 cytokines were measured. A penalized regression method was performed to analyze associations between inflammation and MetS, whilst controlling for confounding factors. Results Of the total sample, 25% of patients had MetS. Eight cytokines were above the lower limit of detection (LLOD) in more than 90% of the samples and retained in downstream analysis. Using a conservative Variable Inclusion Probability (VIP) of 75%, we found that elevated levels of interleukin (IL)-6, IL-7, IL-12/23 p40 and IL-16 and lower levels of tumor necrosis factor (TNF)-α were associated with MetS. As for clinical variables, age, sex, body mass index (BMI), diagnosis of SZ (not SZA), age at the first episode of psychosis (FEP), alcohol abuse, current tobacco smoking, and treatment with antidepressants and anxiolytics were all associated with MetS. Conclusion We have identified five cytokines associated with MetS in SZ suggesting that patients with psychotic disorders and MetS are characterized by a specific “immuno-metabolic” profile. This may help to design tailored treatments for this subgroup of patients with both psychotic disorders and MetS, taking one more step towards precision medicine in psychiatry.
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Affiliation(s)
- Marianne Foiselle
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Susana Barbosa
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Ophélia Godin
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Ching-Lien Wu
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Wahid Boukouaci
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Myrtille Andre
- Fondation FondaMental, France
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Bruno Aouizerate
- Fondation FondaMental, France
- Centre Hospitalier Charles Perrens, Université de Bordeaux, Bordeaux, F-33076, France
- INRAE, NutriNeuro, University of Bordeaux, U1286, Bordeaux, F-33076, France
| | - Fabrice Berna
- Fondation FondaMental, France
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Caroline Barau
- APHP, Hôpital Henri Mondor, Plateforme de Ressources Biologiques, France
| | - Delphine Capdevielle
- Fondation FondaMental, France
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Pierre Vidailhet
- Fondation FondaMental, France
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Isabelle Chereau
- Fondation FondaMental, France
- CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Laetitia Davidovic
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Jean-Michel Dorey
- Fondation FondaMental, France
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, France
| | - Caroline Dubertret
- Fondation FondaMental, France
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, France
- Université de Paris INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, France
| | - Julien Dubreucq
- Fondation FondaMental, France
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Catherine Faget
- Fondation FondaMental, France
- AP-HM, Aix-Marseille Univ, School of Medicine - La Timone Medical Campus, EA 3279, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
| | - Guillaume Fond
- Fondation FondaMental, France
- AP-HM, Aix-Marseille Univ, School of Medicine - La Timone Medical Campus, EA 3279, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
| | - Sylvain Leigner
- Fondation FondaMental, France
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, France
- APHP, Hôpital Henri Mondor, Plateforme de Ressources Biologiques, France
| | - Jasmina Mallet
- Fondation FondaMental, France
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, France
- Université de Paris INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, France
| | - David Misdrahi
- Fondation FondaMental, France
- Department of Adult Psychiatry, Charles Perrens Hospital, Bordeaux, France
- University of Bordeaux, CNRS UMR 5287-INCIA « Neuroimagerie et cognition humaine », France
| | - Emanuela Martinuzzi
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Christine Passerieux
- Fondation FondaMental, France
- Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team “DevPsy”, Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - Romain Rey
- Fondation FondaMental, France
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, France
| | - Baptiste Pignon
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Mathieu Urbach
- Fondation FondaMental, France
- Service Universitaire de psychiatrie et d'addictologie du Centre Hospitalier de Versailles, INSERM UMR1018, CESP, Team “DevPsy”, Université de Versailles Saint-Quentin-en-Yvelines, Paris, Saclay, France
| | - Franck Schürhoff
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
| | - Nicolas Glaichenhaus
- Université Côte d’Azur, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Marion Leboyer
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
- Corresponding author. Département Hospitalo-Universitaire de Psychiatrie, Hôpital Albert Chenevier, 40 rue de Mesly, Créteil, 94000, France.
| | - Ryad Tamouza
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, F-94010, Créteil, France
- AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d’Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), F-94010, France
- Fondation FondaMental, France
- Corresponding author. Département Hospitalo-Universitaire de Psychiatrie, Hôpital Albert Chenevier, 40 rue de Mesly, Créteil, 94000, France.
| | - the FACE-SZ (FondaMental Academic Centers of Expertise for Schizophrenia) GroupsBernaF.sHaffenE.sLeboyerM.sLlorcaP.M.sSchürhoffF.sBarteauV.tBensalemS.tGodinO.tLaouamriH.tSouryisK.tLeboyerM.uvOfferlin-MeyerI.uvPignonB.uvSchürhoffF.uvSzökeA.uvAouizerateB.wxDelogeA.wyMisdrahiD.wyVilàE.wyBlancO.zChéreauI.zDenizotH.zHonciucR.M.zLacelleD.zLlorcaP.M.zPiresS.zDubertretC.aaMalletJ.aaPortalierC.aaDubreucqJ.abFluttazC.abGabayetF.abRomanC.abChesnoy-ServaninG.acD'AmatoT.acDoreyJ.M.acReyR.acVehierA.acLançonC.adFagetC.adMetairieE.adPeriP.adVaillantF.adBoyerL.aeafFondG.aeafBernaF.agVidailhetP.agZinetti-BertschyA.agCapdevielleD.ahYazbekH.ahEsselinS.aiajakJarroirM.aiajakPasserieuxC.aiajakUrbachM.aiajakFACE-SZ Clinical Coordinating Center (Fondation FondaMental), FranceFACE-SZ Data Coordinating Center (Fondation FondaMental), FranceFACE-SZ Clinical Sites and Principal Collaborators in France, FranceAP-HP, INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d’Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94000, Créteil, FranceDepartment of Adult Psychiatry, Charles Perrens Hospital, F-33076, Bordeaux, FranceLaboratory of Nutrition and Integrative Neurobiology (UMR INRA 1286), University of Bordeaux, FranceUniversity of Bordeaux, CNRS UMR 5287-INCIA, Bordeaux, FranceCHU Clermont-Ferrand, Department of Psychiatry (service de psychatrie B), University of Clermont Auvergne, Clermont-Ferrand, FranceAP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm UMR1266, Institute of Psychiatry and Neurosciences of Paris, University Paris Descartes, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, FrancePsychosocial Rehabilitation Reference Center, Alpes Isère Hospital, Grenoble, FranceUniversity Claude Bernard Lyon 1, Le Vinatier Hospital Pole Est BP 300 39, 95 bd Pinel, 69678, Bron Cedex, FranceDepartment of Psychiatry (AP-HM), Sainte-Marguerite University Hospital, Marseille, FranceAP-HM, la Conception Hospital, Aix-Marseille Univ, School of medicine - La Timone Medical Campus, EA 3279, FranceCEReSS - Health Service Research, FranceStrasbourg University Hospital, University of Strasbourg, INSERM U1114, Federation of Translational Psychiatry, Strasbourg, FranceUniversity Department of Adult Psychiatry, La Colombiere Hospital, CHU Montpellier, University of Montpellier 1, Inserm 1061, Montpellier, FranceDepartment of Adult Psychiatry, Versailles Hospital, Le Chesnay, FranceHandiRESP and Quality of Life Center, 27 Boulevard Jean Moulin, 13005, Marseille, FranceFrance Laboratory, EA4047, UFR Health Sciences Simone Veil, Université de Versailles Saint-Quentin-En-Yvelines, Montigny-le-Bretonneux, France
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7
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Coentre R, Levy P, Góis C, Figueira ML. Metabolic syndrome following a first episode of psychosis: results of a 1-year longitudinal study conducted in metropolitan Lisbon, Portugal. J Int Med Res 2022; 50:3000605221106703. [PMID: 35726606 PMCID: PMC9218473 DOI: 10.1177/03000605221106703] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Objective We aimed to assess the prevalence and course of metabolic syndrome (MetS) and the associated metabolic parameters during the year following a first episode pf psychosis (FEP). Methods We performed a 1-year longitudinal observation of 60 patients who experienced FEP. MetS was defined using the modified definition of the National Cholesterol Education Program Adult Treatment Panel III. We assessed the metabolic parameters and socio-demographic and psychopathological data for the participants. Results The mean age of the participants was 27.1 years, and 33.3% of them were women. There was an increase in the prevalence of MetS from 6.7% to 11.7% during the year following the baseline assessment during the year following the baseline assessment (p = 0.250). There were also significant increases in the prevalences of abnormal triglyceride concentration, waist circumference, and high-density lipoprotein (HDL)-cholesterol concentration during this period. In addition, there was a considerable worsening of the metabolic profile of the participants. No baseline parameters were identified to be predictors of MetS over the 1-year follow-up period. Conclusions We can conclude that metabolic abnormalities are common in patients with FEP and that these rapidly worsen during the first year following the diagnosis of FEP. Studies on interventions are needed to reduce metabolic risk to cardiovascular diseases following the FEP.
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Affiliation(s)
- Ricardo Coentre
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.,Department of Psychiatry, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal
| | - Pedro Levy
- Department of Psychiatry, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal
| | - Carlos Góis
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.,Department of Psychiatry, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal
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8
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A population-based follow-up study shows high psychosis risk in women with PCOS. Arch Womens Ment Health 2022; 25:301-311. [PMID: 34841466 PMCID: PMC8921102 DOI: 10.1007/s00737-021-01195-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 11/09/2021] [Indexed: 11/25/2022]
Abstract
Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting up to 18% of women. Besides metabolic and fertility aspects, attention has lately been directed towards the detrimental effect of PCOS on psychological health. The objective of the study was to investigate whether women with PCOS are at higher risk for psychotic disorders. The study population derives from the Northern Finland Birth Cohort 1966 (N = 5889 women). The women with PCOS were identified by two simple questions on oligo-amenorrhea and hirsutism at age 31. Women reporting both symptoms were considered PCOS (N = 124) and asymptomatic women as controls (N = 2145). The diagnosis of psychosis was traced using multiple national registers up to the year 2016. Symptoms of psychopathology were identified using validated questionnaires at age 31. Women with PCOS showed an increased risk for any psychosis by age 50 (HR [95% CI] 2.99, [1.52-5.82]). Also, the risk for psychosis after age 31 was increased (HR 2.68 [1.21-5.92]). The results did not change after adjusting for parental history of psychosis, nor were they explained by body mass index or hyperandrogenism at adulthood. The scales of psychopathology differed between women with PCOS and non-PCOS controls showing more psychopathologies among the affected women. PCOS cases were found to be at a three-fold risk for psychosis, and they had increased psychopathological symptoms. PCOS should be taken into consideration when treating women in psychiatric care. More studies are required to further assess the relationship between PCOS and psychotic diseases.
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9
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Veeneman RR, Vermeulen JM, Abdellaoui A, Sanderson E, Wootton RE, Tadros R, Bezzina CR, Denys D, Munafò MR, Verweij KJH, Treur JL. Exploring the Relationship Between Schizophrenia and Cardiovascular Disease: A Genetic Correlation and Multivariable Mendelian Randomization Study. Schizophr Bull 2021; 48:463-473. [PMID: 34730178 PMCID: PMC8886584 DOI: 10.1093/schbul/sbab132] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Individuals with schizophrenia have a reduced life-expectancy compared to the general population, largely due to an increased risk of cardiovascular disease (CVD). Clinical and epidemiological studies have been unable to unravel the nature of this relationship. We obtained summary-data of genome-wide-association studies of schizophrenia (N = 130 644), heart failure (N = 977 323), coronary artery disease (N = 332 477), systolic and diastolic blood pressure (N = 757 601), heart rate variability (N = 46 952), QT interval (N = 103 331), early repolarization and dilated cardiomyopathy ECG patterns (N = 63 700). We computed genetic correlations and conducted bi-directional Mendelian randomization (MR) to assess causality. With multivariable MR, we investigated whether causal effects were mediated by smoking, body mass index, physical activity, lipid levels, or type 2 diabetes. Genetic correlations between schizophrenia and CVD were close to zero (-0.02-0.04). There was evidence that liability to schizophrenia causally increases heart failure risk. This effect remained consistent with multivariable MR. There was also evidence that liability to schizophrenia increases early repolarization pattern, largely mediated by BMI and lipids. Finally, there was evidence that liability to schizophrenia increases heart rate variability, a direction of effect contrasting clinical studies. There was weak evidence that higher systolic blood pressure increases schizophrenia risk. Our finding that liability to schizophrenia increases heart failure is consistent with the notion that schizophrenia involves a systemic dysregulation of the body with detrimental effects on the heart. To decrease cardiovascular mortality among individuals with schizophrenia, priority should lie with optimal treatment in early stages of psychosis.
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Affiliation(s)
- Rada R Veeneman
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jentien M Vermeulen
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Abdel Abdellaoui
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Eleanor Sanderson
- Integrative Epidemiology Unit, University of Bristol, Bristol, UK,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Robyn E Wootton
- Integrative Epidemiology Unit, University of Bristol, Bristol, UK,Nic Waals institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Rafik Tadros
- Cardiovascular Genetics Center, Montreal Heart Institute, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada,Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Connie R Bezzina
- Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Damiaan Denys
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marcus R Munafò
- Integrative Epidemiology Unit, University of Bristol, Bristol, UK,Tobacco and Alcohol Research Group, School of Psychological Science, University of Bristol, Bristol, UK
| | - Karin J H Verweij
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jorien L Treur
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands,To whom correspondence should be addressed; Meibergdreef 5, 1105 AZ, Amsterdam, The Netherlands; tel: +31(0)20-8913600, e-mail:
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10
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Garrido-Torres N, Rocha-Gonzalez I, Alameda L, Rodriguez-Gangoso A, Vilches A, Canal-Rivero M, Crespo-Facorro B, Ruiz-Veguilla M. Metabolic syndrome in antipsychotic-naïve patients with first-episode psychosis: a systematic review and meta-analysis. Psychol Med 2021; 51:2307-2320. [PMID: 34493353 DOI: 10.1017/s0033291721002853] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND It is unclear what the prevalence of metabolic syndrome (MetS) in drug-naïve first-episode of psychosis (FEP) is, as previous meta-analyses were conducted in minimally exposed or drug-naïve FEP patients with psychotic disorder at any stage of the disease; thus, a meta-analysis examining MetS in naïve FEP compared with the general population is needed. METHODS Studies on individuals with FEP defined as drug-naïve (0 days exposure to antipsychotics) were included to conduct a systematic review. A meta-analysis of proportions for the prevalence of MetS in antipsychotic-naïve patients was performed. Prevalence estimates and 95% CI were calculated using a random-effect model. Subgroup analyses and meta-regressions to identify sources and the amount of heterogeneity were also conducted. RESULTS The search yielded 4143 articles. After the removal of duplicates, 2473 abstracts and titles were screened. At the full-text stage, 112 were screened, 18 articles were included in a systematic review and 13 articles in the main statistical analysis. The prevalence of MetS in naïve (0 days) FEP is 13.2% (95% CI 8.7-19.0). Ethnicity accounted for 3% of the heterogeneity between studies, and diagnostic criteria used for MetS accounted for 7%. When compared with controls matched by sex and age, the odds ratio is 2.52 (95% CI 1.29-5.07; p = 0.007). CONCLUSIONS Our findings of increased rates of MetS in naïve FEP patients suggest that we are underestimating cardiovascular risk in this population, especially in those of non-Caucasian origin. Our findings support that altered metabolic parameters in FEPs are not exclusively due to antipsychotic treatments.
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Affiliation(s)
- Nathalia Garrido-Torres
- University Hospital Virgen del Rocio-IBIS, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
| | - Idalino Rocha-Gonzalez
- University Hospital Virgen del Rocio-IBIS, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program, Lausanne University Hospital (CHUV), CH-1008Lausanne, Switzerland
| | | | - Ana Vilches
- University Hospital Virgen del Rocio, Sevilla, Spain
| | - Manuel Canal-Rivero
- University Hospital Virgen del Rocio-IBIS, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, School of Medicine, University Hospital Virgen del Rocio, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
| | - Miguel Ruiz-Veguilla
- Department of Psychiatry, School of Medicine, University Hospital Virgen del Rocio, Spanish Network for Research in Mental Health (CIBERSAM), Sevilla, Spain
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11
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Onen S, Taymur I. Evidence for the atherogenic index of plasma as a potential biomarker for cardiovascular disease in schizophrenia. J Psychopharmacol 2021; 35:1120-1126. [PMID: 34176366 DOI: 10.1177/02698811211026450] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Schizophrenia is known to be accompanied with increased cardiovascular mortality, which causes reduced life expectancy. AIM The aim of the current study was to investigate if atherogenic index of plasma (AIP) could be a good marker in assessing cardiovascular disease (CVD) risk in patients with schizophrenia. METHODS Patients with schizophrenia (n = 328) and healthy controls (n = 141) were recruited. Schizophrenia patients were evaluated according to the presence of antipsychotic (AP) drug use as AP(+)Sch group and AP(-)Sch group. Atherogenic indices, such as AIP, Castelli's risk index-I (CRI-I), Castelli's risk index-II (CRI-II), and atherogenic coefficient (AC), were calculated according to the laboratory examination of serum lipid parameters. RESULTS According to the comparison of serum lipid levels, triglyceride (TG) levels were found to be highest and high-density lipoprotein-cholesterol levels were lowest in AP(+)Sch group than AP(-)Sch group and control group (CG) (p < 0.001). AIP, CRI-I, and CRI-II scores were found to be significantly higher in AP(+)Sch group than AP(-)Sch group, and in AP(-)Sch than healthy controls (p < 0.001). Mean AC scores were higher in AP(+)Sch group than both AP(-)Sch and CG and were similar in AP(-)Sch and control subjects (p < 0.001). According to the correlation analysis, AIP scores were positively correlated with duration of disease (r = 0.235; p = 0.002) and age (r = 0.226; p = 0.003) in AP(+)Sch group but not in drug-free subjects. In all groups, atherogenic indices of CRI-I, CRI-II, and AC scores were found to be positively correlated with AIP scores (p < 0.001). CONCLUSION Our results suggest that AIP is an easily calculable and reliable marker for determining the CVD risk in both drug-free schizophrenia patients and patients under AP treatment.
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Affiliation(s)
- Sinay Onen
- Department of Psychiatry, Bursa Yuksek Ihtisas Training and Research Hospital, University of Health Sciences, Bursa, Turkey
| | - Ibrahim Taymur
- Department of Psychiatry, Bursa Yuksek Ihtisas Training and Research Hospital, University of Health Sciences, Bursa, Turkey
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12
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Carney R, Imran S, Law H, Firth J, Parker S. Physical health interventions on adolescent mental health inpatient units: A systematic review and call to action. Early Interv Psychiatry 2021; 15:439-448. [PMID: 32426944 DOI: 10.1111/eip.12981] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 01/27/2020] [Accepted: 04/28/2020] [Indexed: 12/17/2022]
Abstract
AIM Physical health inequalities experienced by people with mental health conditions are labelled an international scandal; due to the 15 to 30-year gap in life expectancy, driven mostly by physical health conditions. Lifestyle interventions are recommended to prevent the onset of poor physical health in people with mental illness. Yet, there is less high-quality evidence for adolescents, particularly those in inpatient settings. We aimed to assess existing literature reporting physical health or lifestyle interventions conducted on adolescent mental health inpatient units. METHOD An electronic search of MEDLINE, PsycINFO, Embase, the Cochrane Central Register of Controlled Trials and AMED was conducted on 13th June 2019. Eligible studies included peer-reviewed English language research articles of physical health interventions delivered within child and adolescent mental health inpatient services. A narrative synthesis was conducted on the data. RESULTS Only three studies were identified implementing health interventions for adolescent inpatients. The interventions consisted of two physical health interventions aiming to increase activity levels within routine care (one gym-based, one sports led) and a yoga intervention. Outcome measurements varied and benefits were observed in relation to overall health (HONOSCA), physical health (waist, hip and chest circumference) and behaviour. CONCLUSIONS Although preliminary results suggest lifestyle interventions may be feasible and beneficial for this group, more work is needed to fully understand the best way to implement these interventions within adolescent clinical settings. Adolescent inpatients are an important target for such interventions, affording the opportunity to prevent the onset of physical comorbidities.
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Affiliation(s)
- Rebekah Carney
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.,Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Shermin Imran
- Child and Adolescent Mental Health Services, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Heather Law
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Joseph Firth
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,NICM Health Research Institute, Western Sydney University, Sydney, New South Wales, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Sophie Parker
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.,Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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13
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Carney R, Firth J, Pedley R, Law H, Parker S, Lovell K. The clinical and behavioral cardiometabolic risk of children and young people on mental health inpatient units: A systematic review and meta-analysis. Gen Hosp Psychiatry 2021; 70:80-97. [PMID: 33773375 PMCID: PMC8135692 DOI: 10.1016/j.genhosppsych.2021.03.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 03/10/2021] [Accepted: 03/12/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Serious mental illness is associated with physical health comorbidities, however most research has focused on adults. We aimed to synthesise existing literature on clinical and behavioral cardiometabolic risk factors of young people on mental health inpatient units. METHODS A systematic review and meta-analysis was conducted, using electronic searches of PsycINFO, EMBASE, AMED, Cochrane Central Register of Controlled Trials, and Ovid MEDLINE. Eligible studies included child/adolescent mental health inpatient units for <25 years, reporting clinical/behavioral cardiometabolic risk factors. Studies containing adult samples, case-studies, or eating disorder populations were excluded. The main clinical outcome was weight, and main behavioral outcome was tobacco use. RESULTS Thirty-nine studies were identified (n = 809,185). Pooled prevalence rates of young people who were overweight (BMI > 25) was 32.4% (95% CI 26.1%-39.5%; n = 2789), and who were obese (BMI > 30) was 15.5% (95% CI 4.5%-41.6%; n = 2612). Pooled prevalence rates for tobacco use was 51.5% (95% CI 32.2-70.2; N = 804,018). Early signs of metabolic risk were observed; elevated blood cholesterol, presence of physical health conditions, and behavioral risk factors (e.g. physical inactivity). CONCLUSIONS This review highlights the vulnerability of young people admitted to inpatient units and emphasises the opportunity to efficiently monitor, treat and intervene to target physical and mental health.
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Affiliation(s)
- Rebekah Carney
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, Manchester, UK.
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK,NICM Health Research Institute, Western Sydney University, Westmead, Australia
| | - Rebecca Pedley
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - Heather Law
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Sophie Parker
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Karina Lovell
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
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14
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Zhang Q, He H, Bai X, Jiang L, Chen W, Zeng X, Li Y, Teixeira AL, Dai J. Unveiling the Metabolic Profile of First-Episode Drug-Naïve Schizophrenia Patients: Baseline Characteristics of a Longitudinal Study Among Han Chinese. Front Psychiatry 2021; 12:702720. [PMID: 34305687 PMCID: PMC8298856 DOI: 10.3389/fpsyt.2021.702720] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/15/2021] [Indexed: 11/24/2022] Open
Abstract
Objective: Metabolic and other medical conditions are frequently comorbid with schizophrenia. As they might be the side-effects of antipsychotic treatment, studying first-episode drug-naïve schizophrenia (FDSZ) provides a unique opportunity to investigate a direct pathogenic link between metabolic changes and schizophrenia. Here, we presented the methods and baseline unique metabolic profile of FDSZ patients without medical comorbidities unveiling subthreshold indices of metabolic disturbances. Method: Drug-naïve individuals diagnosed with schizophrenia but without any previous medical conditions were invited to participate in the study. Participants were submitted to structured psychiatric and cognitive assessments, laboratory and neuroimaging tests. Subjects will be followed after antipsychotic treatment at 6, 24 and 48 weeks. Results: During an 8-month-period, out of 103 patients presenting with first episode psychosis, 67 subjects (43.3% men, 56.7% women) were enrolled in the study. They had a mean ± SD age of 32.1 ± 8.7 years, with a mean BMI of 21.1 kg/m2 and 11.3 ± 3.6 years of schooling. Less than 1/3 reported a family history of mental illness. Upon laboratory assessment, 10.4%, 7.5%, and 11.9% of patients were identified with hyperhomocysteinemia, hypertriglyceridemia and hyperprolactinemia, respectively, with percentages of women relatively higher than men except for hypertriglyceridemia. Conclusions: First episode schizophrenia patients, especially women, present subclinical metabolic abnormalities, independent of antipsychotic treatment.
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Affiliation(s)
- Qi Zhang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Hui He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Xia Bai
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Liping Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Wei Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
| | - Xiaoying Zeng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China.,Neuropsychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Yanjia Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China.,Neuropsychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | | | - Jing Dai
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Chengdu Forth People' s Hospital, Chengdu Mental Health Center, Chengdu, China
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15
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Kornetova EG, Kornetov AN, Mednova IA, Goncharova AA, Gerasimova VI, Pozhidaev IV, Boiko AS, Semke AV, Loonen AJM, Bokhan NA, Ivanova SA. Comparative Characteristics of the Metabolic Syndrome Prevalence in Patients With Schizophrenia in Three Western Siberia Psychiatric Hospitals. Front Psychiatry 2021; 12:661174. [PMID: 34276438 PMCID: PMC8282925 DOI: 10.3389/fpsyt.2021.661174] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 06/09/2021] [Indexed: 12/13/2022] Open
Abstract
Objective: The purpose of this study was to compare the prevalence of MetS and the associated sociodemographic, clinical, and pharmacotherapeutic characteristics of patients with schizophrenia in three psychiatric hospitals in the West Siberian region. Methods: Patients with a clinical diagnosis of schizophrenia (ICD-10: F20) and an age between 18 and 60 years were included in the study after giving informed consent. Metabolic syndrome was diagnosed according to the International Diabetes Federation criteria. This research was carried out at three Western Siberian psychiatric hospitals in Kemerovo, Tomsk, and Omsk. The study population included respectively 94, 131, and 91 inpatients with schizophrenia. We carried out schizophrenia symptoms assessment by PANSS, antipsychotic therapy evaluation, anthropometry, and biochemical analysis. Statistical Analysis included the Shapiro-Wilk test, non-parametric Kruskal-Wallis H-test for independent samples, Mann-Whitney U-test for independent samples, the chi-square test, stepwise multiple regression analyses. The level of significance was p < 0.05. Results: The metabolic syndrome prevalence was higher among patients in Tomsk (36.6%), compared with Kemerovo (20.2%, p = 0.008) or Omsk (18.7%, p = 0.004), mainly due to the high prevalence of abdominal obesity, while men from Tomsk were more susceptible to this condition than men from other regions (p < 0.05). Patients from Omsk had the highest severity schizophrenia symptoms according to PANSS, and patients from Tomsk had the lowest severity of positive symptoms according to PANSS. Patients from Tomsk had the minimum duration of antipsychotic therapy compared with the patient from Kemerovo (p = 0.017) and from Omsk (p = 0.000019), but most patients from Tomsk received second-generation atypical antipsychotics, while patients from Omsk received mainly conventional antipsychotics (p = 0.0001). Multiple regression analysis showed that metabolic syndrome associated with schizophrenia duration and body mass index, although the association was not so strong (adjusted R 2 = 0.2435, p < 0.0001). Discussion: The study illustrates that in different psychiatric hospitals within the same region, the prevalence of metabolic syndrome in patients with schizophrenia can vary significantly, which dictates the need to look for opportunities to minimize the risk of its occurrence, taking into account the experience of each hospital.
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Affiliation(s)
- Elena G Kornetova
- Endogenous Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,University Hospital, Siberian State Medical University, Tomsk, Russia
| | - Alexander N Kornetov
- Fundamental Psychology and Behavioral Medicine Department, Siberian State Medical University, Tomsk, Russia
| | - Irina A Mednova
- Molecular Genetics and Biochemistry Laboratory, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Anastasia A Goncharova
- Endogenous Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Valeria I Gerasimova
- Endogenous Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Ivan V Pozhidaev
- Molecular Genetics and Biochemistry Laboratory, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Anastasiia S Boiko
- Molecular Genetics and Biochemistry Laboratory, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Arkadiy V Semke
- Endogenous Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Anton J M Loonen
- PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands
| | - Nikolay A Bokhan
- Addictive Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Psychiatry, Addiction Psychiatry and Psychotherapy Department, Siberian State Medical University, Tomsk, Russia
| | - Svetlana A Ivanova
- Molecular Genetics and Biochemistry Laboratory, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Psychiatry, Addiction Psychiatry and Psychotherapy Department, Siberian State Medical University, Tomsk, Russia
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16
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Liao X, Ye H, Si T. A Review of Switching Strategies for Patients with Schizophrenia Comorbid with Metabolic Syndrome or Metabolic Abnormalities. Neuropsychiatr Dis Treat 2021; 17:453-469. [PMID: 33603382 PMCID: PMC7884949 DOI: 10.2147/ndt.s294521] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 01/07/2021] [Indexed: 12/31/2022] Open
Abstract
Metabolic syndrome (MetS) in patients with schizophrenia occurs 2-3 times more frequently than in the general population. Antipsychotic medication is a primary risk factor for patients with MetS. In particular, the widely used second-generation antipsychotics can affect glucose and lipid metabolism and can induce insulin resistance and other metabolic abnormalities through various receptors. Notably, the metabolic risks of various antipsychotics may differ because of their different pharmacological affinity to MetS-related receptors. Several previous studies have shown that switching from high to low metabolic risk antipsychotics may improve patients' metabolic parameters. The current review aims to discuss the strategies for switching antipsychotic medications and the impact on metabolic abnormalities in patients with schizophrenia.
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Affiliation(s)
- Xuemei Liao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People's Republic of China
| | - Hui Ye
- Medical Department, Sanofi, Shanghai, People's Republic of China
| | - Tianmei Si
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People's Republic of China
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17
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Metabolic Dysregulation and Psychosocial Stress in Patients with Schizophrenia Spectrum Disorders: A Case-Control Study. J Clin Med 2020; 9:jcm9123822. [PMID: 33255883 PMCID: PMC7760156 DOI: 10.3390/jcm9123822] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 11/18/2020] [Accepted: 11/23/2020] [Indexed: 12/12/2022] Open
Abstract
Patients with schizophrenia spectrum disorders have a reduced life expectancy, which is largely the consequence of a high co-occurrence of cardiovascular diseases. To date, several intrinsic and environmental factors underlying this phenomenon have been found. However, the association with psychosocial stress has not been extensively addressed. In this study, we tested the relationship between a history of adverse childhood experiences (ACEs), lifetime stressors, perceived stress and metabolic parameters in patients with schizophrenia spectrum disorders and in healthy controls. The participants included 85 inpatients with schizophrenia spectrum disorders and 56 healthy controls. Serum levels of glucose, insulin, low- and high-density lipoproteins (LDL and HDL), triglycerides, total cholesterol and high-sensitivity C-reactive protein (hsCRP) were determined. After adjustment for potential confounding factors, patients had significantly higher levels of glucose (F = 4.856, p = 0.030), triglycerides (F = 4.720, p = 0.032) and hsCRP (F = 7.499, p = 0.007) as well as significantly lower levels of HDL (F = 5.300, p = 0.023) compared to healthy controls. There were also significant effects of interactions between diagnosis and a history of ACEs on the levels of insulin (F = 4.497, p = 0.036) and homeostatic model assessment of insulin resistance (HOMA-IR) (F = 3.987, p = 0.048). More specifically, the levels of insulin and HOMA-IR were significantly higher in the subgroup of patients with schizophrenia spectrum disorders and a positive history of ACEs compared to other subgroups of participants. No significant associations between lifetime stressors and perceived stress with metabolic parameters were found. Our findings indicate that a history of ACEs might be associated with insulin resistance in patients with schizophrenia spectrum disorders. Therapeutic strategies targeting early-life stress should be considered with early interventions that aim to manage cardiometabolic comorbidity in patients with schizophrenia spectrum disorders.
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18
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Misiak B, Wiśniewski M, Lis M, Samochowiec J, Stańczykiewicz B. Glucose homeostasis in unaffected first-degree relatives of schizophrenia patients: A systematic review and meta-analysis. Schizophr Res 2020; 223:2-8. [PMID: 32739343 DOI: 10.1016/j.schres.2020.07.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/28/2020] [Accepted: 07/19/2020] [Indexed: 12/15/2022]
Abstract
It has been proposed that type 2 diabetes and schizophrenia-spectrum disorders share overlapping genetic backgrounds. Therefore, we aimed to perform a systematic review and meta-analysis of studies comparing fasting levels of glucose and insulin, the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), glucose levels during the oral glucose tolerance test (OGTT) and the levels of glycated hemoglobin (HbA1c) in unaffected first-degree relatives of patients with schizophrenia and controls. Online searches covered the publication period from database inception until May 8th 2020. Meta-analyses were performed using random-effects models with Hedges' g as the effect size estimate. Out of 2556 records identified, 12 studies representing 672 relatives of schizophrenia patients and 6446 controls were found to be eligible. There were no significant differences in fasting levels of glucose (g = 0.54, 95%CI = -0.26 to 1.35, p = 0.188) and insulin (g = 0.07, 95%CI = -0.14 to 0.29, p = 0.491), HOMA-IR (g = 0.12, 95%CI = -0.19 to 0.43, p = 0.433), and the levels of HbA1c (g = 0.38, 95%CI = -0.02 to 0.77, p = 0.061) between relatives of schizophrenia patients and controls. Two studies demonstrated significantly higher 2-hour glucose levels during OGTT in relatives of patients with schizophrenia (g = 0.90, 95%CI = 0.49 to 1.31, p < 0.001). Our findings do not support the hypothesis that familial liability to psychosis is related to altered fasting parameters of glucose homeostasis. However, this population might show impaired glucose tolerance. More studies are needed to confirm these observations.
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Affiliation(s)
- Błażej Misiak
- Department of Genetics, Wroclaw Medical University, Marcinkowskiego 1 Street, 50-368 Wroclaw, Poland.
| | - Michał Wiśniewski
- First Department of Psychiatry, Institute of Psychiatry & Neurology, Sobieskiego 9 Street, 02-957 Warsaw, Poland
| | - Michał Lis
- Clinical Department of Internal Diseases, Endocrinology and Diabetology, The Central Clinical Hospital of the Ministry of the Interior in Warsaw, Wołoska 137 Street, 02-507 Warsaw, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26 Street, 71-460 Szczecin, Poland
| | - Bartłomiej Stańczykiewicz
- Department of Nervous System Diseases, Wroclaw Medical University, Bartla 5 Street, 51-618 Wroclaw, Poland
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19
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Frajerman A, Morin V, Chaumette B, Kebir O, Krebs MO. [Management of cardiovascular co-morbidities in young patients with early onset psychosis: State of the art and therapeutic perspectives]. L'ENCEPHALE 2020; 46:390-398. [PMID: 32571543 DOI: 10.1016/j.encep.2020.03.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/09/2020] [Accepted: 03/25/2020] [Indexed: 10/24/2022]
Abstract
Patients with psychiatric disorders have a decrease in their life expectancy. Excess mortality of patients with schizophrenia was demonstrated by a meta-analysis in the late 1990s and has not decreased for the past 30years. A recent meta-analysis including nearly 250,000 patients with schizophrenia found an average decrease in life expectancy of 14.5years (CI95: 11,2-17,8), more important for men than for women: 15.9 (CI95: 13,8-18,0) vs 13.6 (CI95: 11,4-15,8). A closer look at the somatic comorbidities, including metabolic syndrome, and investigation of causes of death of these patients highlighted already well-known factors, namely late diagnosis and insufficient treatment of physical diseases, side effects of antipsychotics, unhealthy lifestyle (poor diet, smoking, excessive alcohol consumption and lack of exercise), and higher risk of suicide and accident. Concerning ultra-high risk (UHR) patients, a 2016 meta-analysis of 47 studies evaluated the cardiovascular risk factors. They reported a higher prevalence of smoking in UHR (odds ratio 2,3) and a lower level of physical activity associated with a normal BMI (Body Mass Index) compared to the control population. A meta-analysis about patients with a first episode of psychosis (FEP) found reduced total and LDL cholesterol levels and an increased triglyceride level compared to the control population. One study found alteration of the fasting plasmatic levels of glucose and insulin, as well as insulin resistance in FEP patients, compared to controls albeit the HbA1c level was not significantly different. A meta-analysis reported a prevalence of metabolic syndrome of 10 % in FEP or drug naïve patients versus 35 % and 20 % in treated and untreated patients with chronic schizophrenia respectively. Somatic comorbidities usually appear during the first two years of the disease. Some interventions have proven their efficacy in reducing the occurrence of metabolic syndrome and other cardiovascular risk factors. For instance, metformin, a treatment for type 2 diabetes that is allowed from the age of 10, has shown benefits in children and adolescents receiving second-generation antipsychotics in a recent meta-analysis, with a mean weight loss of 3.23kg (IC95 % -5.59 -0.86) after 16 weeks. Dietary-hygienic interventions are also effective in reducing cardiovascular risk. Other interventions such as omega-3 supplementation, vitamin D, N-acetylcysteine, and fasting have not proven to be effective. Comprehensive care programs have been developed to promote somatic care in psychiatric patients, such as the Canadian HeAL (Healthy Active Lives) program. These programs are more effective when proposed from the beginning of the disease and the introduction of antipsychotics. In this review, because there is no French recommendation, we translate a tool for the prescription of metformin and the Canadian recommendations from the HeAL program. Generalization of these programs to all young psychotic patients could improve their life expectancy and reduce the overall mortality. Prevention of cardiovascular risk factors and cardio-metabolic monitoring of treatments must be part of the standard of care in early psychosis. These programs aim at providing patients with the quality of somatic and mental care they are entitled to. This requires the involvement of all stakeholders, including patients and their families but also psychiatrists and other caregivers.
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Affiliation(s)
- A Frajerman
- Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM U1266, équipe Physiopathologie des Maladies Psychiatriques, CNRS GDR 3557, Institut de Psychiatrie, 75014 Paris, France; Université de Paris, Paris, France.
| | - V Morin
- Université de Paris, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - B Chaumette
- Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM U1266, équipe Physiopathologie des Maladies Psychiatriques, CNRS GDR 3557, Institut de Psychiatrie, 75014 Paris, France; Université de Paris, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France; Department of Psychiatry, McGill University, Montréal, Canada
| | - O Kebir
- Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM U1266, équipe Physiopathologie des Maladies Psychiatriques, CNRS GDR 3557, Institut de Psychiatrie, 75014 Paris, France; Université de Paris, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - M-O Krebs
- Institut de Psychiatrie et Neurosciences de Paris (IPNP), INSERM U1266, équipe Physiopathologie des Maladies Psychiatriques, CNRS GDR 3557, Institut de Psychiatrie, 75014 Paris, France; Université de Paris, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France
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20
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Carney R, Imran S, Law H, Folstad S, Parker S. Evaluation of the physical health of adolescent in-patients in generic and secure services: retrospective case-note review. BJPsych Bull 2020; 44:95-102. [PMID: 31679539 PMCID: PMC8058882 DOI: 10.1192/bjb.2019.68] [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: 12/17/2022] Open
Abstract
AIMS AND METHOD To assess physical health needs of adolescent in-patients by routine monitoring. A retrospective analysis of case notes was conducted on a 6-month intake to generic and secure adolescent mental health units in Greater Manchester, UK. RESULTS Fifty individuals were admitted (52% female, average age 15.84 years). Diagnoses varied and 66% were prescribed medications before admission. All had a physical health assessment, which identified various physical health risk factors. Average body mass index was 25.99 (range 15.8-44), and increased during in-patient treatment for 84% of individuals who had their body mass recorded more than once. A total of 28% of individuals smoked. Lipids and prolactin levels were elevated across the sample. CLINICAL IMPLICATIONS This evaluation strengthens the argument to optimise physical healthcare for adolescent in-patients and develop physical health interventions, particularly given that we observed elevated lipids and prolactin. Physical health and well-being may not be prioritised when assessing and managing young peoples' mental health, despite their increased vulnerability for comorbid conditions.
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Affiliation(s)
- Rebekah Carney
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, UK.,Faculty of Biology, Medicine & Health, University of Manchester, UK
| | - Shermin Imran
- Child and Adolescent Mental Health Services, Greater Manchester Mental Health NHS Foundation Trust, UK
| | - Heather Law
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, UK
| | - Siri Folstad
- Faculty of Biology, Medicine & Health, University of Manchester, UK
| | - Sophie Parker
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, UK.,Faculty of Biology, Medicine & Health, University of Manchester, UK
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21
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Lin BD, Alkema A, Peters T, Zinkstok J, Libuda L, Hebebrand J, Antel J, Hinney A, Cahn W, Adan R, Luykx JJ. Assessing causal links between metabolic traits, inflammation and schizophrenia: a univariable and multivariable, bidirectional Mendelian-randomization study. Int J Epidemiol 2020; 48:1505-1514. [PMID: 31504541 PMCID: PMC7070229 DOI: 10.1093/ije/dyz176] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Blood immunoreactive biomarkers, such as C-reactive protein (CRP), and metabolic abnormalities have been associated with schizophrenia. Studies comprehensively and bidirectionally probing possible causal links between such blood constituents and liability to schizophrenia are lacking. METHODS To disentangle putative causal links between CRP blood levels and schizophrenia in both directions, we conducted multiple univariable Mendelian-randomization (MR) analyses, ranging from fixed-effect to inverse variance-weighted (IVW), weighted-median, MR Egger and generalized summary-data-based Mendelian-randomization (GSMR) models. To prioritize metabolic risk factors for schizophrenia, a novel multivariable approach was applied: multivariable Mendelian-randomization-Bayesian model averaging (MR-BMA). RESULTS All forward univariable MR analyses consistently showed that CRP has a protective effect on schizophrenia, whereas reverse MR analyses consistently suggested absent causal effects of schizophrenia liability on CRP blood levels. Using MR-BMA, as the top protective factors for schizophrenia we prioritized leucine and as the prime risk-factor triglycerides in medium very-low-density lipoprotein (VLDL). The five best-performing MR-BMA models provided one additional risk factor: triglycerides in large VLDL; and two additional protective factors: citrate and lactate. CONCLUSIONS Our results add to a growing body of literature hinting at metabolic changes-in particular of triglycerides-independently of medication status in schizophrenia. We also highlight the absent effects of genetic liability to schizophrenia on CRP levels.
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Affiliation(s)
- Bochao D Lin
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, School of Basic Medical Sciences, Henan University, Kaifeng, China.,Department of Translational Neuroscience, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Anne Alkema
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Triinu Peters
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Janneke Zinkstok
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Lars Libuda
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Jochen Antel
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Wiepke Cahn
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Roger Adan
- Department of Translational Neuroscience, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,Department of Translational Neuroscience, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,GGNet Mental Health, Apeldoorn, The Netherlands
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22
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Sanchez-Gistau V, Mariné R, Martorell L, Cabezas A, Algora MJ, Sole M, Labad J, Vilella E. Relationship between ANKK1 rs1800497 polymorphism, overweight and executive dysfunction in early psychosis. Schizophr Res 2019; 209:278-280. [PMID: 31103213 DOI: 10.1016/j.schres.2019.05.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 05/09/2019] [Accepted: 05/09/2019] [Indexed: 11/27/2022]
Affiliation(s)
- Vanessa Sanchez-Gistau
- Hospital Universitari Institut Pere Mata of Reus, IIPSV, Universitat Rovira I Virgili and CIBERSAM, Spain.
| | - Rosa Mariné
- Hospital Universitari Institut Pere Mata of Reus, IIPSV, Universitat Rovira I Virgili and CIBERSAM, Spain
| | - Lourdes Martorell
- Hospital Universitari Institut Pere Mata of Reus, IIPSV, Universitat Rovira I Virgili and CIBERSAM, Spain
| | - Angel Cabezas
- Hospital Universitari Institut Pere Mata of Reus, IIPSV, Universitat Rovira I Virgili and CIBERSAM, Spain
| | - Maria José Algora
- Hospital Universitari Institut Pere Mata of Reus, IIPSV, Universitat Rovira I Virgili and CIBERSAM, Spain
| | - Montse Sole
- Hospital Universitari Institut Pere Mata of Reus, IIPSV, Universitat Rovira I Virgili and CIBERSAM, Spain
| | - Javier Labad
- Department of Mental Health, Parc Taulí Hospital Universitari, Sabadell, Universitat Autonoma, I3PT and CIBERSAM, Spain
| | - Elisabet Vilella
- Hospital Universitari Institut Pere Mata of Reus, IIPSV, Universitat Rovira I Virgili and CIBERSAM, Spain
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23
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Kornetova EG, Kornetov AN, Mednova IA, Dubrovskaya VV, Boiko AS, Bokhan NA, Loonen AJM, Ivanova SA. Changes in Body Fat and Related Biochemical Parameters Associated With Atypical Antipsychotic Drug Treatment in Schizophrenia Patients With or Without Metabolic Syndrome. Front Psychiatry 2019; 10:803. [PMID: 31736812 PMCID: PMC6838009 DOI: 10.3389/fpsyt.2019.00803] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 10/08/2019] [Indexed: 12/15/2022] Open
Abstract
Background: Metabolic syndrome (MetS) is a common problem in schizophrenia patients and associated with increased mortality due to cardiovascular disease. Second-generation antipsychotics (SGAs) play an important role in facilitating MetS. Objective: The study aimed to assess weight changes and alterations of indicators of body fat composition and lipid-glucose metabolism induced by reinitiating atypical antipsychotics in patients with schizophrenia when with or without MetS. Methods: After giving informed consent, newly admitted patients with a clinical diagnosis of schizophrenia (ICD-10: F20) and an age between 18 and 55 years were included. MetS was diagnosed according to International Diabetes Federation (IDF) criteria. At entry and after 6 weeks of treatment, anthropometry and biochemical analysis were carried out. Total and visceral fats were measured with the use of non-invasive bioimpedance analysis and subcutaneous fat with calculation of total adipose tissue with the use of caliperometry. Based on biochemical assessments low density (LDL) and very low-density lipoproteins (VLDL), atherogenic index and Homeostatic Model Assessment of Insulin Resistance (IR-HOMA) were calculated. Statistical analysis was conducted using Wilcoxon signed-rank test, Mann-Whitney U-test, and chi-squared test. Differences were considered statistically significant at p < 0.05. Results: A total of 114 patients (59M/55F) with schizophrenia were examined; they were divided into two groups with (n = 43; 37.7%) and without (n = 71; 62.3%) MetS. After a 6-week SGA treatment, only the total fat fold, waist circumference, triglyceride level, and atherogenic index underwent statistically significant changes in patients with MetS. In those without MetS, statistically significant changes across all fat indicators were noted. Also, a significant increase in blood glucose and HOMA-IR parameters, triglyceride, and VLDL levels and atherogenic index was observed in this group. Discussion: The study illustrates the benefits of estimating both anthropometric and biochemical parameters shortly after (re)installing treatment of schizophrenia in order to minimize the risk of MetS development.
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Affiliation(s)
- Elena G Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Hospital, Siberian State Medical University, Tomsk, Russia
| | - Alexander N Kornetov
- Department of Fundamental Psychology and Behavioral Medicine, Siberian State Medical University, Tomsk, Russia
| | - Irina A Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Viktoria V Dubrovskaya
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Anastasia S Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Nikolay A Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, Tomsk, Russia.,Department of Psychotherapy and Psychological Counseling, National Research Tomsk State University, Tomsk, Russia
| | - Anton J M Loonen
- Groningen Research Institute of Pharmacy, PharmacoTherapy, Epidemiology and Economics, University of Groningen, Groningen, Netherlands.,Policy Office for Quality and Innovation of Care (BZI), GGZ Westelijk Noord-Brabant, Halsteren, Netherlands
| | - Svetlana A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, Tomsk, Russia.,School of Non-Destructive Testing and Security, Division for Control and Diagnostics, National Research Tomsk Polytechnic University, Tomsk, Russia
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24
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Skibinska M, Kapelski P, Rajewska-Rager A, Szczepankiewicz A, Narozna B, Duda J, Budzinski B, Twarowska-Hauser J, Dmitrzak-Weglarz M, Pawlak J. Elevated brain-derived neurotrophic factor (BDNF) serum levels in an acute episode of schizophrenia in polish women: Correlation with clinical and metabolic parameters. Psychiatry Res 2019; 271:89-95. [PMID: 30472511 DOI: 10.1016/j.psychres.2018.11.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 10/31/2018] [Accepted: 11/18/2018] [Indexed: 12/21/2022]
Abstract
Brain-derived neurotrophic factor (BDNF) has been implicated in the pathogenesis of psychiatric disorders. Schizophrenia is associated with metabolic abnormalities and BDNF regulates energy homeostasis and glucose metabolism in peripheral tissues. The aim of this study was to examine serum levels of BDNF in schizophrenic women during 8 weeks of treatment and control group, and its correlation with clinical and metabolic parameters. The study was performed on a group of 96 women: 55 diagnosed with paranoid schizophrenia according to DSM-IV criteria, and 41 healthy controls. Positive and Negative Syndrome Scale (PANSS) was used to assess the severity of schizophrenia. BDNF serum levels and metabolic parameters: fasting serum glucose, total cholesterol, triglyceride (TG), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C) were measured at baseline and week 8 of treatment. BDNF serum levels were significantly elevated in medicated patients with schizophrenia comparing to controls. After 8 weeks of antipsychotic treatment, BDNF levels did not significantly change. Increase in TG and TG/HDL-C ratio and a decrease in HDL-C was detected in medicated patients. Correlation between BDNF and lipid profile as well as symptoms severity was found. In our study we detected abnormalities in BDNF levels and lipid profile in medicated schizophrenic women in Polish population.
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Affiliation(s)
- Maria Skibinska
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland.
| | - Pawel Kapelski
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Aleksandra Rajewska-Rager
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Aleksandra Szczepankiewicz
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Beata Narozna
- Laboratory of Molecular and Cell Biology, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572, Poznan, Poland
| | - Joanna Duda
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Bartłomiej Budzinski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572, Poznan, Poland
| | - Joanna Twarowska-Hauser
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Monika Dmitrzak-Weglarz
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Joanna Pawlak
- Psychiatric Genetics Unit, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
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Gjerde PB, Dieset I, Simonsen C, Hoseth EZ, Iversen T, Lagerberg TV, Lyngstad SH, Mørch RH, Skrede S, Andreassen OA, Melle I, Steen VM. Increase in serum HDL level is associated with less negative symptoms after one year of antipsychotic treatment in first-episode psychosis. Schizophr Res 2018; 197:253-260. [PMID: 29129510 DOI: 10.1016/j.schres.2017.10.042] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 10/16/2017] [Accepted: 10/29/2017] [Indexed: 12/20/2022]
Abstract
BACKGROUND A potential link between increase in total cholesterol and triglycerides and clinical improvement has been observed during antipsychotic drug treatment in chronic schizophrenia patients, possibly due to drug related effects on lipid biosynthesis. We examined whether changes in serum lipids are associated with alleviation of psychosis symptoms after one year of antipsychotic drug treatment in a cohort of first-episode psychosis (FEP) patients. METHODS A total of 132 non-affective antipsychotic-treated FEP patients were included through the Norwegian Thematically Organized Psychosis (TOP) project. Data on antipsychotic usage, serum lipids (total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol and triglycerides (TG)), body mass index (BMI) and clinical state were obtained at baseline and after 12months. The Positive and Negative Syndrome Scale (PANSS) was used to assess psychotic symptoms. Mixed-effects models were employed to examine the relationship between serum lipids and psychotic symptoms while controlling for potential confounders including BMI. RESULTS An increase in HDL during one year of antipsychotic treatment was associated with reduction in PANSS negative subscores (B=-0.48, p=0.03). This relationship was not affected by concurrent change in BMI (adjusted HDL: B=-0.54, p=0.02). No significant associations were found between serum lipids, BMI and PANSS positive subscores. CONCLUSION We found that an increase in HDL level during antipsychotic treatment is associated with improvement in negative symptoms in FEP. These findings warrant further investigation to clarify the interaction between lipid pathways and psychosis.
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Affiliation(s)
- Priyanthi B Gjerde
- NORMENT, K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway.
| | - Ingrid Dieset
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway.
| | - Carmen Simonsen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway.
| | - Eva Z Hoseth
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway; Division of Mental Health and Addiction, Møre and Romsdal Health Trust, Kristiansund, Norway.
| | - Trude Iversen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway.
| | - Trine V Lagerberg
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway.
| | - Siv Hege Lyngstad
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway.
| | - Ragni H Mørch
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway.
| | - Silje Skrede
- NORMENT, K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway.
| | - Ole A Andreassen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway; Department of Clinical Medicine, University of Oslo, 0424 Oslo, Norway.
| | - Ingrid Melle
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Oslo University Hospital, 0424 Oslo, Norway.
| | - Vidar M Steen
- NORMENT, K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway.
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26
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Kahl KG, Deuschle M, Stubbs B, Schweiger U. Visceral adipose tissue in patients with severe mental illness. Horm Mol Biol Clin Investig 2018; 33:hmbci-2018-0007. [PMID: 29547392 DOI: 10.1515/hmbci-2018-0007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 02/15/2018] [Indexed: 12/25/2022]
Abstract
Background Severe mental illnesses (SMIs), i.e. major depression, schizophrenia and bipolar disorder, are associated with an elevated risk for the development of type-2 diabetes mellitus and cardiovascular disorders. Several factors have been associated with increased cardiometabolic morbidity and mortality in SMI, including lifestyle factors (smoking, inactivity, unhealthy diet), endocrine and immunologic alterations; however, the underlying mechanisms remain to be fully uncovered. It is now well accepted that visceral adipose tissue (VAT) promotes the development of cardiometabolic disorders, at least in part by inflammatory and metabolic functions. Methods This paper reviews studies concerning VAT, with special focus on intra-abdominal and pericardial adipose tissue, in SMI. Results In patients with SMI, several studies have been performed concerning VAT. Most of these studies reported alterations of VAT particularly in patients with major depression and schizophrenia, independent of body weight and body mass index. Some of the studies also reported an increased cardiometabolic risk. Conclusion Patients with SMI are at increased risk of developing cardiometabolic disorders, and display increased amounts of VAT. As studies so far were mainly performed on patients before the onset of cardiometabolic disorders, VAT may serve as a biomarker for patients with SMI to assess cardiometabolic risks beyond established risk scores. Further, interventions aiming at reducing VAT in SMI are highly recommended in long-term multimodal treatment plans.
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Affiliation(s)
- Kai G Kahl
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany, Phone: +49 511-5322495, Fax: +49 511-5328573
| | - Michael Deuschle
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, UK.,Health Service and Population Research Department, Institute of Psychiatry, King's College London, London, UK
| | - Ulrich Schweiger
- Department of Psychiatry and Psychotherapy, University of Lübeck Medical School, Lübeck, Germany
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Lederman O, Rosenbaum S, Maloney C, Curtis J, Ward PB. Modifiable cardiometabolic risk factors in youth with at-risk mental states: A cross-sectional pilot study. Psychiatry Res 2017; 257:424-430. [PMID: 28837931 DOI: 10.1016/j.psychres.2017.08.034] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 08/04/2017] [Accepted: 08/15/2017] [Indexed: 11/29/2022]
Abstract
Young people experiencing psychotic illness engage in low amounts of physical activity have poor fitness levels and poor sleep quality. This study aimed to determine the prevalence of these modifiable cardiometabolic risk factors among individuals with at-risk mental states (ARMS), who are at increased risk of developing psychosis. A cross-sectional study was conducted in a community-based youth mental health service. Thirty participants (23%♀, 21.3 ± 1.7 years old) were recruited, 10 with ARMS, 10 with first-episode psychosis (FEP) and 10 healthy volunteers. Physical activity levels were assessed using self-report and objective measures. Aerobic capacity, upper body strength, hamstring flexibility, forearm grip strength and core endurance were assessed. Sleep quality, depression and anxiety were measured by self-report questionnaire. The ARMS group did not differ significantly on anthropometric measures from FEP or healthy volunteers. They engaged in significantly less physical activity (p < 0.05) and had poorer sleep quality (p < 0.05) than healthy volunteers. Our results are consistent with other studies that found that youth with ARMS are at greater cardiometabolic risk. Interventions aimed at improving these modifiable risk factors may assist with preventing the decline in physical health associated with the development of psychiatric illness.
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Affiliation(s)
- Oscar Lederman
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia; Keeping the Body in Mind Program, South Eastern Sydney Local Health District, Sydney, NSW, Australia.
| | - Simon Rosenbaum
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia; School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Chris Maloney
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jackie Curtis
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Keeping the Body in Mind Program, South Eastern Sydney Local Health District, Sydney, NSW, Australia
| | - Philip B Ward
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Schizophrenia Research Unit, South Western Sydney Local Health District & Ingham Institute of Applied Medical Research, Liverpool, NSW, Australia
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28
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Carney R, Cotter J, Bradshaw T, Yung AR. Examining the physical health and lifestyle of young people at ultra-high risk for psychosis: A qualitative study involving service users, parents and clinicians. Psychiatry Res 2017; 255:87-93. [PMID: 28531821 DOI: 10.1016/j.psychres.2017.05.023] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 05/05/2017] [Accepted: 05/14/2017] [Indexed: 10/19/2022]
Abstract
Emerging evidence suggests young people at ultra-high risk for psychosis (UHR) are also at-risk for poor physical health, and display high rates of modifiable cardiometabolic risk factors. However, before we can develop effective interventions there is a need to understand factors affecting lifestyle choices in the UHR group. We conducted semi-structured qualitative interviews with 20 UHR individuals (50% male; mean age 21.7), 5 parents (4 mothers, 1 father), and 6 clinicians from early intervention services in the Northwest of England to identify barriers and facilitators to living a healthy lifestyle, including achieving regular exercise, eating well and refraining from excessive substance use. Thematic analysis revealed the main barriers to living a healthy lifestyle related to psychiatric symptoms, beliefs about self, social withdrawal and practical considerations such as accessibility and cost. Provision of social support and promoting autonomy emerged as the two main themes which would facilitate a healthy lifestyle. Promoting physical health in people with emerging symptoms of psychosis is an important, yet neglected area of mental health practice and warrants further investigation. UHR individuals experience numerous barriers to living a healthy lifestyle, and interventions should focus primarily on targeting autonomous motivation and providing social support to facilitate this change.
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Affiliation(s)
- Rebekah Carney
- Division of Psychology and Mental Health, University of Manchester, UK.
| | - Jack Cotter
- Division of Psychology and Mental Health, University of Manchester, UK
| | - Tim Bradshaw
- Division of Nursing, Midwifery and Social Work, University of Manchester, UK
| | - Alison R Yung
- Division of Psychology and Mental Health, University of Manchester, UK; Greater Manchester West Mental Health NHS Foundation Trust, UK
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29
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Carney R, Bradshaw T, Firth J, Cotter J, Yung AR. Lifestyle factors may be linked to symptoms of metabolic syndrome in people at risk for psychosis. Schizophr Res 2017; 183:47-48. [PMID: 27863933 DOI: 10.1016/j.schres.2016.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Accepted: 11/11/2016] [Indexed: 11/30/2022]
Affiliation(s)
- Rebekah Carney
- Division of Psychology and Mental Health, University of Manchester, M13 9PL, UK.
| | - Tim Bradshaw
- Division of Nursing, Midwifery and Social Work, University of Manchester, M13 9PL, UK
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, M13 9PL, UK
| | - Jack Cotter
- Division of Psychology and Mental Health, University of Manchester, M13 9PL, UK
| | - Alison R Yung
- Division of Psychology and Mental Health, University of Manchester, M13 9PL, UK; Greater Manchester West Mental Health NHS Foundation Trust, M25 3BL, UK
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