6 results on '"Benito-Amat C"'
Search Results
2. Priority setting in mental health research: a scoping review of participatory methods
- Author
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Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Güell, E., Benito-Amat, C., Molas Gallart, Jordi, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Güell, E., Benito-Amat, C., and Molas Gallart, Jordi
- Abstract
[Background]: Since mental disorders represent a significant burden of disease, prevention programs are critical. Participatory methods have the potential to improve the value of health research by increasing our understanding of user needs. We present a scoping review of participatory methods in mental health research priority setting for the period 2010-2020. The objective is to analyse participatory methods spread and characteristics and its use for mental disorders prevention. [Material and method]: After applying controlled terms of search, we selected peer-reviewed documents using MEDLINE/PubMed, PsycINFO, the Core Collection of the Web of Science and Scopus. We initially identified 330 documents from which we selected 74 articles. We noted and classified the stakeholder groups, the participatory methods applied and the mental health research priorities. [Results]: We identify regional differences in applying participatory methods in mental health research prioritisation; the majority of studies are led by the UK, USA, Australia and The Netherlands. We identified differences among stakeholder groups priorities: when research beneficiaries participate in priority setting, research focuses on therapy, standards, education and psychology of mental disorders; on the other hand, when participation is limited to scientists, therapy, diagnosis, methods and standards receive more attention. [Discussion and conclusions]: We categorised ten participatory methods, twenty-three mental health research priorities and five stakeholder groups. We conclude there is a change in the prioritisation of mental disorders research that opens the way to participatory methods combining a participatory strategy with other sources. Interventions focused on mental disorders prevention could benefit from a participatory mixed approach.
- Published
- 2023
3. Internet
- Author
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Sorli Rojo, Angela, Merlo Vega, José Antonio, and Benito Amat, C.
- Subjects
lcsh:Z ,lcsh:Bibliography. Library science. Information resources - Published
- 1999
4. Noticias y experiencias
- Author
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Sorli Rojo, Ángela, Merlo Vega, José Antonio, Benito Amat, C., Paños Álvarez, Antonio, Martínez Méndez, Francisco Javier, Pastor Sánchez, Juan Antonio, and Osea Lluch, Julia
- Subjects
lcsh:Z ,lcsh:Bibliography. Library science. Information resources ,Bibliography. Library science. Information resources - Published
- 1998
- Full Text
- View/download PDF
5. The Gut Microbiome in Early Life Stress: A Systematic Review.
- Author
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Agusti A, Lamers F, Tamayo M, Benito-Amat C, Molina-Mendoza GV, Penninx BWJH, and Sanz Y
- Subjects
- Female, Pregnancy, Adolescent, Humans, Mental Health, Stress, Psychological, Gastrointestinal Microbiome, Adverse Childhood Experiences, Microbiota
- Abstract
Exposure to early life stress (ELS), prenatal or postnatal during childhood and adolescence, can significantly impact mental and physical health. The role of the intestinal microbiome in human health, and particularly mental health, is becoming increasingly evident. This systematic review aims to summarize the clinical data evaluating the effect of ELS on the human intestinal microbiome. The systematic review (CRD42022351092) was performed following PRISMA guidelines, with ELS considered as exposure to psychological stressors prenatally and during early life (childhood and adolescence). Thirteen articles met all inclusion criteria, and all studies reviewed found a link between ELS and the gut microbiome in both prenatal and postnatal periods. However, we failed to find consensus microbiome signatures associated with pre- or postnatal stress, or both. The inconsistency of results is likely attributed to various factors such as different experimental designs, ages examined, questionnaires, timing of sample collection and analysis methods, small population sizes, and the type of stressors. Additional studies using similar stressors and validated stress measures, as well as higher-resolution microbiome analytical approaches, are needed to draw definitive conclusions about the links between stress and the human gut microbiome.
- Published
- 2023
- Full Text
- View/download PDF
6. What do biomarkers add: Mapping quantitative imaging biomarkers research.
- Author
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Meseguer E, Barberá-Tomás D, Benito-Amat C, Díaz-Faes AA, and Martí-Bonmatí L
- Subjects
- Authorship, Bibliometrics, Biomarkers, Diagnostic Imaging, Humans, Biomedical Research, Neurology
- Abstract
Purpose: To understand the contribution of the concept of "biomarker" to quantitative imaging research., Method: The study consists of a bibliometric and a network analysis of quantitative imaging biomarkers research based on publication data retrieved from the Web of Science (WoS) for the period 1976-2017. Co-authorship is used as a proxy for scientific collaboration among research groups. Research groups are disambiguated and assigned to an institutional sector and to a medical specialty or academic discipline. Co-occurrence maps of specialties are built to delineate the collaborative network structure of this emerging field., Results: Two very distinct growth patterns emerged from the 5432 publications retrieved from WoS. Scientific production on «quantitative imaging biomarkers» (QIB) began 20 years after the first publications on «quantitative imaging» (QI). The field of QIB has exhibited rapid growth becoming the most used term since 2011. Among the 12,882 institutions identified, 56% include the term QIB and 44% include the term QI; among the 14,734 different research groups identified, 60% include the term QIB and 40% the term QI. QIB is characterized by a well-established community of researchers whose largest contributors are in medical specialties (radiology 17%, neurology 16%, mental 10%, oncology 10%), while QI shows a more fragmented and diverse community (radiology 13%, engineering 13%, physics 10%, oncology 9%, neurology 6%, biology 4%, nuclear 3%, computing 3%). This suggests a qualitative difference between QIB and QI networks., Conclusions: Adding biomarkers to quantitative imaging suggests that medical imaging is rapidly evolving, driven by the efforts to translate quantitative imaging research into clinical practice., (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
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