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A structural equation approach for modeling metabolic syndrome status in an adult and older North-Eastern Portuguese population

2023Conference object Open access
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dc.contributor.authorTeixeira, José Eduardo
dc.contributor.authorBragada, José A.
dc.contributor.authorBragada, João P.
dc.contributor.authorMagalhães, Pedro
dc.date.accessioned2023-11-16T11:27:24Z
dc.date.available2023-11-16T11:27:24Z
dc.date.issued2023
dc.description.abstractThe metabolic syndrome (MetS) is characterized by an interrelated cardiometabolic risk factors, specifically central obesity, dysglycemia, dyslipidemia and arterial hypertension. The aim of this study was to analyze the weighting factors for modeling metabolic syndrome status (3-, 4-, and 5-MetS components) in an adult and older North-Eastern Portuguese population. A cross-sectional, observational and retrospective analysis was conducted between January 2019 and December 2020 from patients’ clinical records of 3,581 individuals with MetS condition (18–102 years). A structural equation modelling (SEM) analysis was applied using a standardized root mean square residuals (SRMR) with a path-flow method and a two-step maximum likelihood approach. MetS was diagnosed using Joint Interim Statement (JIS) criteria. Confirmatory model had a good adjustement (SRMR = 0.0334), reporting the following links for weighting factors in MetS status for overall population: waist circumference (WC) (β = 0.24, 95% CI: 0.19–0.29, p <0.001), fasting glucose (FG) (β = 0.17, 95% CI: 0.12– 0.22; p <0.001), systolic blood pressure (SBP) (β = 0.14, 95% CI: 0.09–0.19; p <0.001), dyastolic blood pressure (DBP) (β = 0.06, 95% CI: 0.01–0.11; p <0.001), high-density lipoprotein cholesterol (HDL-c) (β = 0.18, 95% CI: 0.12–0.23; p ≥0.05), and triglycerides (TG) (β = 0.05, 95% CI: 0–0.10; p ≥0.05). Weighting factors with the greatest effect were WC, FG, SBP and DBP, whereas there were no significant effects for HDL and TG. The action of low-density lipoproteins and triglyceride-rich lipoproteins cannot be discarded in the accumulation of atheroma plaques, as well as in the relationship amongst atherosclerosis and major adverse cardiovascular events (MACE). Therefore, the JIS definition has been widely debated to adding a better screening criterion for modelling the MetS diagnosis and progression using other criteria such as waist-to-height ratio (WhtR), waist-to-hip ratio (WHR), mean arterial pressure (MAP) and low-density lipoproteins (LDL) levels. Also, futures multivariate models should include exercise-related variables, i.e., frequency, intensity, time and type (FITT) principles, to measure the impact of the physical exercise on the MetS status change.pt_PT
dc.description.sponsorshipThis study is a result of the project “GreenHealth-Digital strategies in biological as sets to improve well-being and promote green health” (Norte-01-0145-FEDER-000042), supported by North Portugal Regional Operational Programme (NORTE2020), under the PORTUGAL2020 Partnership Agreement, through the European Regional Development Fund (ERDF)”pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationTeixeira, José Eduardo; Bragada, José A.; Bragada, João P.; Magalhães, Pedro (2023). A structural equation approach for modeling metabolic syndrome status in an adult and older North-Eastern Portuguese population. In United Kingdom Congress on Obesity (UKCO 2023). Belfastpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/28885
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.relationNorte-01-0145-FEDER-000042pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMetabolic syndromept_PT
dc.subjectConfirmatory analysispt_PT
dc.subjectCardiovascular eventspt_PT
dc.subjectLifestylept_PT
dc.subjectResearch Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sportspt_PT
dc.titleA structural equation approach for modeling metabolic syndrome status in an adult and older North-Eastern Portuguese populationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBelfastpt_PT
oaire.citation.titleUnited Kingdom Congress on Obesity (UKCO 2023)pt_PT
person.familyNamede Araújo Teixeria
person.familyNameBragada
person.familyNameMagalhães
person.givenNameJosé Eduardo
person.givenNameJosé
person.givenNamePedro
person.identifier2316939
person.identifier.ciencia-idD11C-9591-7A8A
person.identifier.ciencia-idEC18-B34C-A1C8
person.identifier.ciencia-id631D-E634-0FBB
person.identifier.orcid0000-0003-4612-3623
person.identifier.orcid0000-0001-7020-0583
person.identifier.orcid0000-0003-2492-1499
person.identifier.scopus-author-id35224896200
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication79042f92-ce53-4b79-a33f-76ac63c55b8d
relation.isAuthorOfPublicationd24f0ee1-6174-4249-8e0a-20629d306235
relation.isAuthorOfPublicationce33c577-a21a-4f32-9443-ea36d0af8d72
relation.isAuthorOfPublication.latestForDiscovery79042f92-ce53-4b79-a33f-76ac63c55b8d

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