Body mass index (weight/height2) or percentage body fat by bioelectrical impedance analysis: which variable better reflects serum lipid profile?

Noguchi, Teruo; Yoshida, Hideyo; Takahashi, Hidekatsu; Matsuda, Yoshihisa; Kawai, Makoto

doi:10.1038/sj.ijo.0800961

Cited by 64 publications

(62 citation statements)

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“…This observation is in line with previous studies, [8][9][10][11][12] but contrary to others. [13][14][15] However, in all these studies, [8][9][10][11][12][13][14][15] %FM was determined by the use of bioelectrical impedance analysis. Thus, the inaccuracies of impedance measurements may add to the observed discrepancies.…”

Section: Value Of Fm Vs Anthropometric Obesity Indices For Assessmentmentioning

confidence: 99%

“…7 However, studies comparing the values of BMI and %FM in the prediction of metabolic risk are contradictory. [8][9][10][11][12][13][14][15] Some authors found that when compared to %FM BMI was similar or even more closely associated to cardiovascular risk factors, for example, lipid profile, blood pressure or insulin resistance (IR). [8][9][10][11][12] By contrast, the value of %FM exceeded BMI in other studies.…”

Section: Introductionmentioning

confidence: 99%

“…[8][9][10][11][12] By contrast, the value of %FM exceeded BMI in other studies. [13][14][15] One explanation of these discrepant results may be that the data suffer from methodological drawbacks of field methods used for body composition analysis (e.g. bioelectrical impedance analysis or anthropometry).…”

Section: Introductionmentioning

confidence: 99%

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Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors

et al. 2005

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Objective: To compare the value of body fat mass (%FM) to indirect measures of general (body mass index (BMI)) and central adiposity (waist circumference (WC); waist-to-height ratio (WC/ht)) for the prediction of overweight-and obesity-related metabolic risk in a study population with a high prevalence of metabolic syndrome (MSX). Methods: BMI, WC, WC/ht, body composition (by air-displacement plethysmography) and metabolic risk factors: triglycerides, cholesterol, HDL-cholesterol (HDL-C), uric acid, systolic blood pressure (BPsys), insulin resistance by homeostasis model assessment (HOMA-IR) and C-reactive protein (CRP) were measured in 335 adults (191 women, 144 men; mean age 53 713.9 years, prevalence of MSX 30%). Results: When compared with BMI and WC, %FM showed weaker associations with metabolic risk factors, except for CRP and BPsys in men. In women, HDL-C and HOMA-IR showed the closest correlations with BMI. For all other risk factors, WC or WC/ht were the best predictors in both sexes. Differences in the strength of correlations between an obesity index and different risk factors exceeded the differences observed between all obesity indices within one risk factor. In stepwise multiple regression analyses, WC/ht was the main predictor of metabolic risk in both sexes combined. However, analysis of the area under receiver operating characteristic curves for prediction of the prevalence of X2 component traits of the MSX revealed a similar accuracy of all obesity indices. Conclusions: At the population level, measurement of body FM has no advantage over BMI and WC in the prediction of obesityrelated metabolic risk. Although measures of central adiposity (WC, WC/ht) tended to show closer associations with risk factors than measures of general adiposity, the differences were small and depended on the type of risk factor and sex, suggesting an equivalent value of methods.

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Section: Value Of Fm Vs Anthropometric Obesity Indices For Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors

et al. 2005

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“…Vários estudos têm mostrado que o IMC apresenta boa correlação com a quantidade de gordura corporal determinada por medidas diretas como densitometria 11 , bioimpedância elétrica (BIA) 12 , pregas cutâneas 11,13 , relação cintura/quadril (RCQ) 14 e circunferência da cintura (CC) 15 .…”

Section: íNdice De Massa Corporalunclassified

Análise crítica do uso do índice de massa corporal para idosos

2005

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Esta comunicação discute a utilização do índice de massa corporal, suas limitações e aplicações na avaliação do estado nutricional de idosos. Há um consenso entre os pesquisadores de que um aumento no peso corporal em indivíduos de idade mais avançada seja aconselhável, mudando os pontos de corte até então utilizados. Atualmente, recomendam-se pontos de corte para definição de baixo peso (índice de massa corporal <22kg/m²), eutrofia (índice de massa corporal entre 22 a 27kg/m²) e sobrepeso (índice de massa corporal >27kg/m²) que diferem dos valores recomendados para adultos e freqüentemente utilizados para idosos. Esta proposta leva em consideração as mudanças na composição corporal que ocorrem com o envelhecimento. Apesar de não representar a composição corporal dos indivíduos, a facilidade de obtenção de dados de peso e estatura bem como sua boa correlação com morbidade e mortalidade justificam a utilização do índice de massa corporal em estudos epidemiológicos e na prática clínica desde que se usem pontos de corte específicos para a idade, especialmente se associados a outras medidas antropométricas que expressem a composição e a distribuição da gordura corporal.

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“…is subgroup was called in the literature as "occult obese 24 . We veri ed this subgroup (occult obese) had a stronger correlation with a blood pressure and lipoprotein fractions HDL-c, TG, VLDL-c.…”

Section: Resultsmentioning

confidence: 99%

Blood pressure and lipid profile in young women: the role of anthropometric measurement

Rubira

et al. 2014

Rev. bras. educ. fís. esporte

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) and %BF (≥ 30%), respectively. BMI and % BF were positively correlated with blood pressure (systolic and diastolic), and highly signifi cant in the obese group by %BF. Moreover, BMI and % BF were signifi cantly correlated with all lipids and lipoprotein fractions VLDL-c and triglyceride, respectively. These results suggest that %BF is a good indicator of "occult obesity" in subjects with normal body mass index. The associated use of BMI and %BF to better evaluate obesity may improve the study of blood pressure levels and serum lipid changes that are commonly associated with obesity.

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Body mass index (weight/height2) or percentage body fat by bioelectrical impedance analysis: which variable better reflects serum lipid profile?

Cited by 64 publications

References 4 publications

Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors

Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors

Análise crítica do uso do índice de massa corporal para idosos

Blood pressure and lipid profile in young women: the role of anthropometric measurement

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