Repository logo
 
Publication

Structural equation modelling for predicting the relative contribution of each component in the metabolic syndrome status change

2022Journal article Open access
Simple item page
dc.contributor.authorTeixeira, José Eduardo
dc.contributor.authorBragada, José A.
dc.contributor.authorBragada, João P.
dc.contributor.authorCoelho, Joana C.M.M.
dc.contributor.authorPinto, Isabel
dc.contributor.authorReis, Luís P.
dc.contributor.authorFernandes, Paula Odete
dc.contributor.authorMorais, J.E.
dc.contributor.authorMagalhães, Pedro
dc.date.accessioned2022-04-05T09:08:24Z
dc.date.available2022-04-05T09:08:24Z
dc.date.issued2022
dc.description.abstractUnderstanding the factor weighting in the development of metabolic syndrome (MetS) may help to predict the progression for cardiovascular and metabolic diseases. Thus, the aim of this study was to develop a confirmatory model to describe and explain the direct and indirect effect of each component in MetS status change. A total of 3581 individuals diagnosed with MetS, aged 18–102 years, were selected between January 2019 and December 2020 from a community-representative sample of Portuguese adults in a north-eastern Portuguese region to test the model’s goodness of fit. A structural equation modelling (SEM) approach and a two-way ANOVA (age × body composition) were performed to compare the relative contribution of each MetS component using joint interim statement (JIS). Waist circumference (β = 0.189–0.373, p < 0.001), fasting glucose (β = 0.168–0.199, p < 0.001) and systolic blood pressure (β = 0.140–0.162, p < 0.001) had the highest direct effect on the change in MetS status in the overall population and concerning both sexes. Moreover, diastolic blood pressure (DBP), triglycerides (TG) and high-density lipoprotein cholesterol (HDL-c) had a low or non-significant effect. Additionally, an indirect effect was reported for age and body composition involving the change in MetS status. The findings may suggest that other components with higher specificity and sensitivity should be considered to empirically validate the harmonised definition of MetS. Current research provides the first multivariate model for predicting the relative contribution of each component in the MetS status change, specifically in Portuguese adults.pt_PT
dc.description.sponsorshipThis article is a result of the project “GreenHealth-Digital strategies in biological assets to improve well-being and promote green health” (Norte-01-0145-FEDER-000042), supported by North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The authors also express acknowledgement all medical staff, patients and human resources of the two primary health care centers.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTeixeira, J.E.; Bragada, José A.; Bragada, João P.; Coelho, Joana; Pinto, Isabel; Reis, Luís P.; Fernandes, Paula O.; Morais, J.E.; Magalhães, Pedro (2022). Structural equation modelling for predicting the relative contribution of each component in the metabolic syndrome status change. International Journal of Environmental Research and Public Health. ISSN 1660-4601. 19:6, p. 1-14pt_PT
dc.identifier.doi10.3390/ijerph19063384pt_PT
dc.identifier.issn1660-4601
dc.identifier.urihttp://hdl.handle.net/10198/25342
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationNorte-01-0145-FEDER-000042pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMetabolic syndromept_PT
dc.subjectMultilevel modellingpt_PT
dc.subjectPredictionpt_PT
dc.subjectProgressionpt_PT
dc.subjectPublic healthpt_PT
dc.titleStructural equation modelling for predicting the relative contribution of each component in the metabolic syndrome status changept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage14pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Journal of Environmental Research and Public Healthpt_PT
oaire.citation.volume19pt_PT
person.familyNameTeixeira
person.familyNameBragada
person.familyNameFernandes
person.familyNameMorais
person.familyNameMagalhães
person.givenNameJosé Eduardo
person.givenNameJosé A.
person.givenNamePaula Odete
person.givenNameJ.E.
person.givenNamePedro
person.identifierN-3804-2013
person.identifier867179
person.identifier2316939
person.identifier.ciencia-idD11C-9591-7A8A
person.identifier.ciencia-idEC18-B34C-A1C8
person.identifier.ciencia-id991D-9D1E-D67D
person.identifier.ciencia-idAA12-BF58-EE60
person.identifier.ciencia-id631D-E634-0FBB
person.identifier.orcid0000-0003-4612-3623
person.identifier.orcid0000-0001-7020-0583
person.identifier.orcid0000-0001-8714-4901
person.identifier.orcid0000-0002-6885-0648
person.identifier.orcid0000-0003-2492-1499
person.identifier.scopus-author-id35200741800
person.identifier.scopus-author-id35224896200
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication79042f92-ce53-4b79-a33f-76ac63c55b8d
relation.isAuthorOfPublicationd24f0ee1-6174-4249-8e0a-20629d306235
relation.isAuthorOfPublication2269147c-2b53-4d1c-bc1b-f1367d197262
relation.isAuthorOfPublication80b13e62-254d-4d46-ad90-8b509ab523a8
relation.isAuthorOfPublicationce33c577-a21a-4f32-9443-ea36d0af8d72
relation.isAuthorOfPublication.latestForDiscovery80b13e62-254d-4d46-ad90-8b509ab523a8

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ijerph-19-03384_artigo.pdf
Size:
785.4 KB
Format:
Adobe Portable Document Format
Download

Collections

ESE - Artigos em Revistas Indexados à WoS/Scopus