Lélia Lessa Teixeira Pinto, Thaís Barros do Carmo, Alessandra Santos Sales, L. A. Nunes, C. A. Casotti
{"title":"Metabolic syndrome components and face shape variation in elderly","authors":"Lélia Lessa Teixeira Pinto, Thaís Barros do Carmo, Alessandra Santos Sales, L. A. Nunes, C. A. Casotti","doi":"10.1590/1980-0037.2020v22e74390","DOIUrl":null,"url":null,"abstract":"Abstract The aim of this study was to identify the metabolic syndrome (MS) components mostly influencing face shape in elderly individuals. This is a cross-sectional epidemiological study carried out with elderly individuals living in Aiquara County, Bahia State. Facial images at frontal view and MS were classified according to the National Cholesterol Education Program's Adult Treatment Panel III (revised version). Discriminant function, cross validation and distance Mahalanobis D2 were used to extract face shape variations due to MS. Principal Component Analysis (PCA) was used to evaluate MS components’ influence on face shape. The total of 193 elderly individuals were selected; there were significant differences in face shape due to MS (p <0.01) in both sexes. PCA 1 showed HDL-C in men, which accounted for 37% of the total variation. HDL-C in biplot is associated with individuals who do not have MS and with elderly individuals with MS - there was correlation between waist circumference and triglycerides. PCA 1 represented 33.2% of the total variation in women; this outcome is explained by triglycerides. There was association between blood glucose and waist circumference in biplot. HDL-C is related to women who do not have MS. Facial variations affected by MS did not derive from the action of any of the MS components, but from the association between them. Thus, geometric morphometrics emerges as a promising method that makes it possible identifying heart disease and metabolic risk factors according to face shape features.","PeriodicalId":38989,"journal":{"name":"Revista Brasileira de Cineantropometria e Desempenho Humano","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Cineantropometria e Desempenho Humano","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/1980-0037.2020v22e74390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract The aim of this study was to identify the metabolic syndrome (MS) components mostly influencing face shape in elderly individuals. This is a cross-sectional epidemiological study carried out with elderly individuals living in Aiquara County, Bahia State. Facial images at frontal view and MS were classified according to the National Cholesterol Education Program's Adult Treatment Panel III (revised version). Discriminant function, cross validation and distance Mahalanobis D2 were used to extract face shape variations due to MS. Principal Component Analysis (PCA) was used to evaluate MS components’ influence on face shape. The total of 193 elderly individuals were selected; there were significant differences in face shape due to MS (p <0.01) in both sexes. PCA 1 showed HDL-C in men, which accounted for 37% of the total variation. HDL-C in biplot is associated with individuals who do not have MS and with elderly individuals with MS - there was correlation between waist circumference and triglycerides. PCA 1 represented 33.2% of the total variation in women; this outcome is explained by triglycerides. There was association between blood glucose and waist circumference in biplot. HDL-C is related to women who do not have MS. Facial variations affected by MS did not derive from the action of any of the MS components, but from the association between them. Thus, geometric morphometrics emerges as a promising method that makes it possible identifying heart disease and metabolic risk factors according to face shape features.
期刊介绍:
The Brazilian Journal of Kinanthropometry and Human Performance is a journal of Physical Education, Kinesiology, Sport and related areas, whose focus is human movement, being reviewed by an international panel of peers, with emphasis on the measurement of the man in its morphological and functional aspects, as well as conditioning factors of physical performance. Given the multidisciplinary nature of the journal, these areas of study are approached in several contexts, with interactions with social, behavioral, health and environmental aspects. The journal publishes original articles as well as relevant Review/Update articles and Points of View.