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Anthropometric Indices and Cardiovascular Risk: A Cross-Sectional Study in Portugal

dc.contributor.authorSantos, Maria
dc.contributor.authorSousa-Uva, Mafalda
dc.contributor.authorNamorado, Sónia
dc.contributor.authorGonçalves, Teresa
dc.contributor.authorMatias Dias, Carlos
dc.contributor.authorGaio, Vânia
dc.date.accessioned2024-01-04T13:07:07Z
dc.date.embargo2025-12-31
dc.date.issued2023-11-21
dc.description.abstractIntroduction: The relationship between abdominal obesity and cardiovascular risk is well established. The objective of this study was to determine the best anthropometric index to assess cardiovascular risk in the Portuguese population aged 40-69 years. Materials and methods: Data from the 1st National Health Examination Survey 2015 were used. The analyzed anthropometric indices included Body Mass Index (BMI), Waist Circumference (WC), Waist-to-Height Ratio (WHtR), Waist-to-Hip Ratio (WHR), and A Body Shape Index (ABSI). The subsample consisted of 2780 individuals who met the inclusion criteria: aged 40-69 years, not pregnant, available information on sex, age, smoking status, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, and anthropometric measures (weight, height, WC, hip circumference). Individuals receiving cancer treatment were not included in the study. Those with a previous diagnosis of acute myocardial infarction, stroke, diabetes, chronic kidney disease, or undergoing medication therapy for these conditions were excluded from the analysis due to their already high or very high cardiovascular risk, being the use of SCORE2 inappropriate. The area under the curve (AUC) of the receiver operating characteristic (ROC) was calculated, stratified by sex, to determine the best index for assessing cardiovascular risk. Results: In females, WHR exhibited the highest discriminatory power with an AUC of 0.67 (95% CI: 0.63 to 0.71), closely followed by WHtR with an AUC of 0.66 (95% CI: 0.61 to 0.70) and ABSI with an AUC of 0.65 (95% CI: 0.60 to 0.70). In males, WHtR displayed the highest discriminatory power with an AUC of 0.64 (95% CI: 0.59 to 0.68), closely followed by WHR with an AUC of 0.63 (95% CI: 0.58 to 0.67), and WC had an AUC of 0.62 (95% CI: 0.57 to 0.67). Discussion: Previous research has produced diverse findings regarding the choice of anthropometric indices, with variations across genders. In the present study the AUC values for the analyzed indices encountered for both genders had overlapping confidence intervals, indicating no statistically significant difference in predictive power. Conclusion: In women, the best index was WHR, and in men it was WHtR. However, due to a lack of statistical significance, it was not possible to determine which index had the best predictive ability. Nevertheless, this doesn't invalidate the previously well-established link between abdominal obesity and cardiovascular risk. Cardiovascular disease has a multifactorial etiology, and attempting to find only one variable that predicts the risk of a cardiovascular event can be overly simplistic and limiting.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.18/8838
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.publisherInstituto Nacional de Saúde Doutor Ricardo Jorge, IPpt_PT
dc.subjectCardiovascular Riskpt_PT
dc.subjectAnthropometric Indicespt_PT
dc.subjectINSEF 2015pt_PT
dc.subjectRisco Cardiovascularpt_PT
dc.subjectMedidas antropométricaspt_PT
dc.subjectDeterminantes da Saúde e da Doençapt_PT
dc.subjectEstados de Saúde e de Doençapt_PT
dc.subjectPortugalpt_PT
dc.titleAnthropometric Indices and Cardiovascular Risk: A Cross-Sectional Study in Portugalpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboa, Portugalpt_PT
oaire.citation.titleXXVII Encontro Nacional da Associação Portuguesa para a Promoção da Saúde Pública, 21, 22 novembro 2023pt_PT
person.familyNameSousa Uva
person.familyNameNamorado
person.familyNameMatias Dias
person.familyNameGaio
person.givenNameMafalda
person.givenNameSónia
person.givenNameCarlos
person.givenNameVânia
person.identifier.ciencia-id6311-6117-ADEB
person.identifier.ciencia-idA71A-17AF-30C7
person.identifier.orcid0000-0002-7910-3111
person.identifier.orcid0000-0002-7500-8811
person.identifier.orcid0000-0002-0206-5874
person.identifier.orcid0000-0001-7626-4991
person.identifier.ridD-7168-2015
person.identifier.ridI-6335-2012
person.identifier.scopus-author-id14047182500
person.identifier.scopus-author-id23103292400
person.identifier.scopus-author-id56080468200
rcaap.rightsembargoedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication25d0f118-6569-4c2e-b997-053d764204c5
relation.isAuthorOfPublication4ed6a689-2426-46ea-90e6-1950652a288b
relation.isAuthorOfPublicationfe9524e7-fc22-42f6-8eca-ab6a513ddd6b
relation.isAuthorOfPublication59791814-187c-4b34-b3a2-6ad67a213814
relation.isAuthorOfPublication.latestForDiscoveryfe9524e7-fc22-42f6-8eca-ab6a513ddd6b

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