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Correa-Ghisays P, Vicent Sánchez-Ortí J, Balanzá-Martínez V, Fuentes-Durá I, Martinez-Aran A, Ruiz-Bolo L, Correa-Estrada P, Ruiz-Ruiz JC, Selva-Vera G, Vila-Francés J, Macias Saint-Gerons D, San-Martín C, Ayesa-Arriola R, Tabarés-Seisdedos R. MICEmi: A method to identify cognitive endophenotypes of mental illnesses. Eur Psychiatry 2022; 65:e85. [PMID: 36440538 PMCID: PMC9807453 DOI: 10.1192/j.eurpsy.2022.2348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. METHODS For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. CONCLUSIONS This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
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Affiliation(s)
- Patricia Correa-Ghisays
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Inmaculada Fuentes-Durá
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Anabel Martinez-Aran
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Bipolar Disorders Unit, Neurosciences Institute, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Catalonia, Spain
| | - Lara Ruiz-Bolo
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | | | - Juan Carlos Ruiz-Ruiz
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Gabriel Selva-Vera
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vila-Francés
- Intelligent Data Analysis Laboratory (IDAL), University of Valencia, Spain
| | - Diego Macias Saint-Gerons
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Constanza San-Martín
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Rafael Tabarés-Seisdedos
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
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Aliño-Dies M, Sánchez-Ortí JV, Correa-Ghisays P, Balanzá-Martínez V, Vila-Francés J, Selva-Vera G, Correa-Estrada P, Forés-Martos J, San-Martín Valenzuela C, Monfort-Pañego M, Ayesa-Arriola R, Ruiz-Veguilla M, Crespo-Facorro B, Tabarés-Seisdedos R. Grip Strength, Neurocognition, and Social Functioning in People WithType-2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia. Front Psychol 2020; 11:525231. [PMID: 33324271 PMCID: PMC7723830 DOI: 10.3389/fpsyg.2020.525231] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 10/30/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Frailty is a common syndrome among older adults and patients with several comorbidities. Grip strength (GS) is a representative parameter of frailty because it is a valid indicator of current and long-term physical conditions in the general population and patients with severe mental illnesses (SMIs). Physical and cognitive capacities of people with SMIs are usually impaired; however, their relationship with frailty or social functioning have not been studied to date. The current study aimed to determine if GS is a valid predictor of changes in cognitive performance and social functioning in patients with type-2 diabetes mellitus and SMIs. METHODS Assessments of social functioning, cognitive performance, and GS (measured with an electronic dynamometer) were conducted in 30 outpatients with type 2 diabetes mellitus, 35 with major depressive disorder, 42 with bipolar disorder, 30 with schizophrenia, and 28 healthy controls, twice during 1-year, follow-up period. Descriptive analyses were conducted using a one-way analysis of variance for continuous variables and the chi-squared test for categorical variables. Differences between groups for the motor, cognitive, and social variables at T1 and T2 were assessed using a one-way analysis of covariance, with sex and age as co-variates (p < 0.01). To test the predictive capacity of GS at baseline to explain the variance in cognitive performance and social functioning at T2, a linear regression analysis was performed (p < 0.05). RESULTS Predictive relationships were found among GS when implicated with clinical, cognitive, and social variables. These relationships explained changes in cognitive performance after one year of follow-up; the variability percentage was 67.7%, in patients with type-2 diabetes mellitus and 89.1% in patients with schizophrenia. Baseline GS along with other variables, also predicted changes in social functioning in major depressive disorder, bipolar disorder, and schizophrenia, with variability percentages of 67.3, 36, and 59%, respectively. CONCLUSION GS combined with other variables significantly predicted changes in cognitive performance and social functioning in people with SMIs or type-2 diabetes mellitus. Interventions aimed to improve the overall physical conditions of patients who have poor GS could be a therapeutic option that confers positive effects on cognitive performance and social functioning.
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Affiliation(s)
- María Aliño-Dies
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- Faculty of Psychology, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
| | - Patricia Correa-Ghisays
- Faculty of Psychology, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- INCLIVA Health Research Institute, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
| | - Joan Vila-Francés
- IDAL – Intelligent Data Analysis Laboratory, University of Valencia, Valencia, Spain
| | - Gabriel Selva-Vera
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- INCLIVA Health Research Institute, Valencia, Spain
| | | | - Jaume Forés-Martos
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- INCLIVA Health Research Institute, Valencia, Spain
| | - Constanza San-Martín Valenzuela
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Valencia, Spain
| | - Manuel Monfort-Pañego
- Department of Physical Education Teacher Training, University of Valencia, Valencia, Spain
| | - Rosa Ayesa-Arriola
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Miguel Ruiz-Veguilla
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Hospital Universitario Virgen del Roció-IBIS, University of Sevilla, Seville, Spain
| | - Benedicto Crespo-Facorro
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Hospital Universitario Virgen del Roció-IBIS, University of Sevilla, Seville, Spain
| | - Rafael Tabarés-Seisdedos
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- INCLIVA Health Research Institute, Valencia, Spain
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