Journal article
Does metabolic syndrome or its component factors alter the course of bipolar disorder? A systematic review
A Giménez-Palomo, S Gomes-da-Costa, S Dodd, I Pachiarotti, N Verdolini, E Vieta, M Berk
Neuroscience and Biobehavioral Reviews | Published : 2022
Abstract
Metabolic syndrome (MetS) and its component factors, obesity, hypertension, dyslipidaemia and insulin resistance, have shown a bidirectional relationship with the prevalence and severity of bipolar disorder (BD). A systematic search of electronic databases (Pubmed, PsycINFO, clinicaltrials.gov) was conducted to explore and integrate current evidence about the role of MetS and its component factors with clinical outcomes of BD. Thirty-four articles met the inclusion criteria. Studies were grouped by the metabolic factors assessed, which included MetS, obesity and body mass index (BMI), dyslipidaemia, impaired glucose metabolism (IGM), diabetes mellitus and hypertension. They were then classif..
View full abstractGrants
Awarded by Horizon 2020 Framework Programme
Funding Acknowledgements
Dr. Vieta thanks the support of the Spanish Ministry of Science and Innovation (PI15/00283, PI18/00805) integrated into the Plan Nacional de I+D+I and co-financed by the ISCIII-Subdireccion General de Evaluaci ' on and the Fondo Europeo de Desarrollo Regional (FEDER); the Instituto de Salud Carlos III; the CIBER of Mental Health (CIBERSAM); the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement (2017 SGR 1365), the CERCA Programme, and the Departament de Salut de la Generalitat de Catalunya for the PERIS grant SLT006/17/00357. Dr. Pacchiarotti thanks the support of the Spanish Ministry of Science and Innovation (PI18/01001). Dr. Verdolini research is supported by a BITRECS Project, which has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement N degrees 754550 and from "La Caixa" Foundation (ID 100010434), under the agreement LCF/PR/GN18/50310006. Dr. Berk is supported by a NHMRC Senior Principal Research Fellowship (1156072).