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 |
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| Abstract | 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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| AbstractList | 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 [less than or equal to] 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; PC0.0005) 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 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. OBJECTIVETo 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.METHODCross-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.RESULTSTwenty-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.CONCLUSIONAccurate 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. 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 less than or equal to 0.05) and lower levels of high-density lipoproteins (HDL) than did the overweight group (P less than or equal to 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. 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. 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. |
| Audience | Academic |
| Author | Prestes, Jonato Silva, Alessandro de Oliveira Oliveira, Ricardo Jacó de Lima, Luciano Ramos Stival, Marina Morato Tibana, Ramires Alsamir Karnikowski, Margô Gomes de Oliveira Pereira, Leonardo Costa Dutra, Maurílio Tiradentes Souza, Vinícius Carolino Antunes, Marja Letícia Chaves de Sousa, Nuno Manuel Frade Nascimento, Dahan da Cunha Funghetto, Silvana Schwerz |
| AuthorAffiliation | 1 University of Brasília (UnB), Brasília, DF, Brazil 2 Center University of Brasilia (UNICEUB), Brasilia, DF, Brazil 3 Laboratory of Exercise Physiology, Faculty Estácio de Sá of Vitória, ES, Brazil 4 Catholic University of Brasília, Brasília, DF, Brazil |
| AuthorAffiliation_xml | – name: 1 University of Brasília (UnB), Brasília, DF, Brazil – name: 2 Center University of Brasilia (UNICEUB), Brasilia, DF, Brazil – name: 3 Laboratory of Exercise Physiology, Faculty Estácio de Sá of Vitória, ES, Brazil – name: 4 Catholic University of Brasília, Brasília, DF, Brazil |
| Author_xml | – sequence: 1 givenname: Silvana Schwerz surname: Funghetto fullname: Funghetto, Silvana Schwerz organization: University of Brasília (UnB), Brasília, DF, Brazil – sequence: 2 givenname: Alessandro de Oliveira surname: Silva fullname: Silva, Alessandro de Oliveira organization: Center University of Brasilia (UNICEUB), Brasilia, DF, Brazil – sequence: 3 givenname: Nuno Manuel Frade surname: de Sousa fullname: de Sousa, Nuno Manuel Frade organization: Laboratory of Exercise Physiology, Faculty Estácio de Sá of Vitória, ES, Brazil – sequence: 4 givenname: Marina Morato surname: Stival fullname: Stival, Marina Morato organization: University of Brasília (UnB), Brasília, DF, Brazil – sequence: 5 givenname: Ramires Alsamir surname: Tibana fullname: Tibana, Ramires Alsamir organization: Catholic University of Brasília, Brasília, DF, Brazil – sequence: 6 givenname: Leonardo Costa surname: Pereira fullname: Pereira, Leonardo Costa organization: University of Brasília (UnB), Brasília, DF, Brazil – sequence: 7 givenname: Marja Letícia Chaves surname: Antunes fullname: Antunes, Marja Letícia Chaves organization: University of Brasília (UnB), Brasília, DF, Brazil – sequence: 8 givenname: Luciano Ramos surname: de Lima fullname: de Lima, Luciano Ramos organization: University of Brasília (UnB), Brasília, DF, Brazil – sequence: 9 givenname: Jonato surname: Prestes fullname: Prestes, Jonato organization: Catholic University of Brasília, Brasília, DF, Brazil – sequence: 10 givenname: Ricardo Jacó surname: Oliveira fullname: Oliveira, Ricardo Jacó organization: University of Brasília (UnB), Brasília, DF, Brazil – sequence: 11 givenname: Maurílio Tiradentes surname: Dutra fullname: Dutra, Maurílio Tiradentes organization: Center University of Brasilia (UNICEUB), Brasilia, DF, Brazil – sequence: 12 givenname: Vinícius Carolino surname: Souza fullname: Souza, Vinícius Carolino organization: University of Brasília (UnB), Brasília, DF, Brazil ; Catholic University of Brasília, Brasília, DF, Brazil – sequence: 13 givenname: Dahan da Cunha surname: Nascimento fullname: Nascimento, Dahan da Cunha organization: Catholic University of Brasília, Brasília, DF, Brazil – sequence: 14 givenname: Margô Gomes de Oliveira surname: Karnikowski fullname: Karnikowski, Margô Gomes de Oliveira organization: University of Brasília (UnB), Brasília, DF, Brazil |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25609936$$D View this record in MEDLINE/PubMed |
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| Keywords | lipids health profile aging body mass index body fat women |
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| Snippet | To compare the clinical classification of the body mass index (BMI) and percentage body fat (PBF) for the prediction of inflammatory and atherogenic lipid... Objective: To compare the clinical classification of the body mass index (BMI) and percentage body fat (PBF) for the prediction of inflammatory and atherogenic... OBJECTIVETo compare the clinical classification of the body mass index (BMI) and percentage body fat (PBF) for the prediction of inflammatory and atherogenic... |
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| SubjectTerms | Absorptiometry, Photon Adiposity Age Factors Aged Aging Analysis Atherosclerosis - physiopathology Biomarkers Body composition Body fat Body Mass Index Body Weight Bone densitometry Brazil C-Reactive Protein - analysis Cardiovascular disease Cholesterol Cross-Sectional Studies Cytokines Diabetes Exercise Female Health aspects health profile Humans Inflammation Inflammation Mediators - blood Interleukin-6 - blood Investigations Lipids Lipids - blood Metabolism Middle aged women Mortality Obesity Older people Original Research Overweight Physical fitness Population Proteins Public health Questionnaires Risk factors Weight control women Womens health |
| Title | Comparison of percentage body fat and body mass index for the prediction of inflammatory and atherogenic lipid risk profiles in elderly women |
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