Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women

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. Cross-sectional analytical study with 277 elderly women from a local community in the Federal District, Brazil. PBF...

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Published in:Clinical interventions in aging Vol. 10; pp. 247 - 253
Main Authors: Funghetto, Silvana Schwerz, Silva, Alessandro de Oliveira, de Sousa, Nuno Manuel Frade, Stival, Marina Morato, Tibana, Ramires Alsamir, Pereira, Leonardo Costa, Antunes, Marja Letícia Chaves, de Lima, Luciano Ramos, Prestes, Jonato, Oliveira, Ricardo Jacó, Dutra, Maurílio Tiradentes, Souza, Vinícius Carolino, Nascimento, Dahan da Cunha, Karnikowski, Margô Gomes de Oliveira
Format: Journal Article
Language:English
Published: New Zealand Dove Medical Press Limited 01-01-2015
Taylor & Francis Ltd
Dove Press
Dove Medical Press
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Summary: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. 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. 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. 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.
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ISSN:1178-1998
1176-9092
1178-1998
DOI:10.2147/CIA.S69711