2002
DOI: 10.1038/sj.ijo.0802167
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Body composition estimates from NHANES III bioelectrical impedance data

Abstract: BACKGROUND: Body composition estimates for the US population are important in order to analyze trends in obesity, sarcopenia and other weight-related health conditions. National body composition estimates have not previously been available. OBJECTIVE: To use transformed bioelectrical impedance analysis (BIA) data in sex-specific, multicomponent model-derived prediction formulae, to estimate total body water (TBW), fat-free mass (FFM), total body fat (TBF), and percentage body fat (%BF) using a nationally repre… Show more

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Cited by 424 publications
(318 citation statements)
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“…Aging is associated with increased body weight gain (Chumlea et al, 2002). Overweight is a risk factor for the metabolic syndrome and promotes progression of different pathologies (Rosen & Spiegelman, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Aging is associated with increased body weight gain (Chumlea et al, 2002). Overweight is a risk factor for the metabolic syndrome and promotes progression of different pathologies (Rosen & Spiegelman, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…ADP has thus a great potential for assessing body composition in the elderly, but few validation studies are available so far (Yee et al, 2001;Bosy-Westphal et al, 2003;Fields and Hunter, 2004;AlemĂĄn-Mateo et al, 2007). Bioelectrical impedance analysis (BIA) is presently regarded as the best option for the assessment of FFM in epidemiological studies (Heymsfield et al, 2000;Chumlea et al, 2002;Malavolti et al, 2003). BIA is in fact noninvasive, portable, rapid and inexpensive.…”
Section: Introductionmentioning
confidence: 99%
“…Interestingly, when body composition is considered, BMI and female sex were no longer predictive of foot pain, but FMI was. Given that women typically have more body fat than men for the same body weight (35), body fat (and possibly adipokines) may explain why women experience more pain. Fewer variables were associated with the development of future foot pain than with preva- lent foot pain.…”
Section: Discussionmentioning
confidence: 99%