Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women
Silvana Schwerz Funghetto,1 Alessandro de Oliveira Silva,2 Nuno Manuel Frade de Sousa,3 Marina Morato Stival,1 Ramires Alsamir Tibana,4 Leonardo Costa Pereira,1 Marja Letícia Chaves Antunes,1 Luciano Ramos de Lima,1 Jonato Prestes,4 Ricardo Jacó Oliveira,1 Maur&iac...
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2015
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oai:doaj.org-article:15676fd085ce4291884a631ceabd37be2021-12-02T03:58:42ZComparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women1178-1998https://doaj.org/article/15676fd085ce4291884a631ceabd37be2015-01-01T00:00:00Zhttps://www.dovepress.com/comparison-of-percentage-body-fat-and-body-mass-index-for-the-predicti-peer-reviewed-article-CIAhttps://doaj.org/toc/1178-1998Silvana Schwerz Funghetto,1 Alessandro de Oliveira Silva,2 Nuno Manuel Frade de Sousa,3 Marina Morato Stival,1 Ramires Alsamir Tibana,4 Leonardo Costa Pereira,1 Marja Letícia Chaves Antunes,1 Luciano Ramos de Lima,1 Jonato Prestes,4 Ricardo Jacó Oliveira,1 Maurílio Tiradentes Dutra,2 Vinícius Carolino Souza,1,4 Dahan da Cunha Nascimento,4 Margô Gomes de Oliveira Karnikowski1 1University of Brasília (UnB), Brasília, DF, Brazil; 2Center University of Brasilia (UNICEUB), Brasilia, DF, Brazil; 3Laboratory of Exercise Physiology, Faculty Estácio de Sá of Vitória, ES, Brazil; 4Catholic University of Brasília, Brasília, DF, Brazil Objective: To compare the clinical classification of the body mass index (BMI) and percentage body fat (PBF) for the prediction of inflammatory and atherogenic lipid profile risk in older women.Method: Cross-sectional analytical study with 277 elderly women from a local community in the Federal District, Brazil. PBF and fat-free mass (FFM) were determined by dual energy X-ray absorptiometry. The investigated inflammatory parameters were interleukin 6 and C-reactive protein.Results: Twenty-five percent of the elderly women were classified as normal weight, 50% overweight, and 25% obese by the BMI. The obese group had higher levels of triglycerides and very low-density lipoproteins than did the normal weight group (P≤0.05) and lower levels of high-density lipoproteins (HDL) than did the overweight group (P≤0.05). According to the PBF, 49% of the elderly women were classified as eutrophic, 28% overweight, and 23% obese. In the binomial logistic regression analyses including age, FFM, and lipid profile, only FFM (odds ratio [OR]=0.809, 95% confidence interval [CI]: 0.739–0.886; P<0.0005) proved to be a predictor of reaching the eutrophic state by the BMI. When the cutoff points of PBF were used for the classification, FFM (OR=0.903, CI=0.884–0.965; P=0.003) and the total cholesterol/HDL ratio (OR=0.113, CI=0.023–0.546; P=0.007) proved to be predictors of reaching the eutrophic state.Conclusion: Accurate identification of obesity, systemic inflammation, and atherogenic lipid profile is key to assessing the risk of cardiometabolic diseases. Classification based on dual energy X-ray absorptiometry measures, along with biochemical and inflammatory parameters, seems to have a great clinical importance, since it allows the lipid profile eutrophic distinction in elderly overweight women. Keywords: lipids, aging, body fat, women, body mass index, health profileFunghetto SSde Oliveira Silva ASousa NMFStival MMTibana RAPereira LCAntunes MLCLima LRPrestes JOliveira RJDutra MTSouza VCda Cunha Nascimento Dde Oliveira Karnikowski MGDove Medical PressarticleLipidsagingatherosclerosiswomenbody mass indexhealth profile.GeriatricsRC952-954.6ENClinical Interventions in Aging, Vol Volume 10, Pp 247-253 (2015) |
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Lipids aging atherosclerosis women body mass index health profile. Geriatrics RC952-954.6 |
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Lipids aging atherosclerosis women body mass index health profile. Geriatrics RC952-954.6 Funghetto SS de Oliveira Silva A Sousa NMF Stival MM Tibana RA Pereira LC Antunes MLC Lima LR Prestes J Oliveira RJ Dutra MT Souza VC da Cunha Nascimento D de Oliveira Karnikowski MG Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women |
description |
Silvana Schwerz Funghetto,1 Alessandro de Oliveira Silva,2 Nuno Manuel Frade de Sousa,3 Marina Morato Stival,1 Ramires Alsamir Tibana,4 Leonardo Costa Pereira,1 Marja Letícia Chaves Antunes,1 Luciano Ramos de Lima,1 Jonato Prestes,4 Ricardo Jacó Oliveira,1 Maurílio Tiradentes Dutra,2 Vinícius Carolino Souza,1,4 Dahan da Cunha Nascimento,4 Margô Gomes de Oliveira Karnikowski1 1University of Brasília (UnB), Brasília, DF, Brazil; 2Center University of Brasilia (UNICEUB), Brasilia, DF, Brazil; 3Laboratory of Exercise Physiology, Faculty Estácio de Sá of Vitória, ES, Brazil; 4Catholic University of Brasília, Brasília, DF, Brazil Objective: To compare the clinical classification of the body mass index (BMI) and percentage body fat (PBF) for the prediction of inflammatory and atherogenic lipid profile risk in older women.Method: Cross-sectional analytical study with 277 elderly women from a local community in the Federal District, Brazil. PBF and fat-free mass (FFM) were determined by dual energy X-ray absorptiometry. The investigated inflammatory parameters were interleukin 6 and C-reactive protein.Results: Twenty-five percent of the elderly women were classified as normal weight, 50% overweight, and 25% obese by the BMI. The obese group had higher levels of triglycerides and very low-density lipoproteins than did the normal weight group (P≤0.05) and lower levels of high-density lipoproteins (HDL) than did the overweight group (P≤0.05). According to the PBF, 49% of the elderly women were classified as eutrophic, 28% overweight, and 23% obese. In the binomial logistic regression analyses including age, FFM, and lipid profile, only FFM (odds ratio [OR]=0.809, 95% confidence interval [CI]: 0.739–0.886; P<0.0005) proved to be a predictor of reaching the eutrophic state by the BMI. When the cutoff points of PBF were used for the classification, FFM (OR=0.903, CI=0.884–0.965; P=0.003) and the total cholesterol/HDL ratio (OR=0.113, CI=0.023–0.546; P=0.007) proved to be predictors of reaching the eutrophic state.Conclusion: Accurate identification of obesity, systemic inflammation, and atherogenic lipid profile is key to assessing the risk of cardiometabolic diseases. Classification based on dual energy X-ray absorptiometry measures, along with biochemical and inflammatory parameters, seems to have a great clinical importance, since it allows the lipid profile eutrophic distinction in elderly overweight women. Keywords: lipids, aging, body fat, women, body mass index, health profile |
format |
article |
author |
Funghetto SS de Oliveira Silva A Sousa NMF Stival MM Tibana RA Pereira LC Antunes MLC Lima LR Prestes J Oliveira RJ Dutra MT Souza VC da Cunha Nascimento D de Oliveira Karnikowski MG |
author_facet |
Funghetto SS de Oliveira Silva A Sousa NMF Stival MM Tibana RA Pereira LC Antunes MLC Lima LR Prestes J Oliveira RJ Dutra MT Souza VC da Cunha Nascimento D de Oliveira Karnikowski MG |
author_sort |
Funghetto SS |
title |
Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women |
title_short |
Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women |
title_full |
Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women |
title_fullStr |
Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women |
title_full_unstemmed |
Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women |
title_sort |
comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women |
publisher |
Dove Medical Press |
publishDate |
2015 |
url |
https://doaj.org/article/15676fd085ce4291884a631ceabd37be |
work_keys_str_mv |
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