Bioelectrical impedance methods in clinical research: a follow-up to the NIH technology assessment conference

Ellis, Kenneth J.; Bell, Stacey J.; Chertow, Glenn M.; Chumlea, Wm. Cameron; Knox, Tamsin A.; Kotler, Donald P.; Lukaski, Henry C.; Schoeller, Dale A.

doi:10.1016/s0899-9007(99)00147-1

Cited by 166 publications

(102 citation statements)

References 46 publications

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“…Hence, it is prudent to make the diagnosis of obesity based on the measure of percentage body fat. BIA method is a useful, available, inexpensive, valid and reliable technique in nutritional epidemiologic studies on both healthy subjects (Blanchard et al, 1990;Roubenoff, 1996;Pecoraro et al, 2003) and patients monitoring in medical settings and clinics (Ellis et al, 1999;Lukaski, 1999;Erselcant et al, 2000) for body composition analysis and investigating obesity and overweight prevalence.…”

Section: Discussionmentioning

confidence: 99%

Comparison between bioelectrical impedance analysis and body mass index methods in determination of obesity prevalence in Ahvazi women

Amani

2006

Eur J Clin Nutr

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Background: Obesity has an increasing trend worldwide. Recently, application of body mass index (BMI) cutoff points of obesity classification for all population studies has been questioned. On the other hand, bioelectrical impedance analysis (BIA) is a safe, accurate, reliable and inexpensive method for screening the overweight and obesity in such studies. Objectives: There were three objectives followed in this research: to determine the prevalence of obesity and overweight in married women using BMI and BIA methods; to evaluate the correlation between these methods; and to compare the women's obesity degrees according to their educational levels. Method: Six hundred and thirty-seven healthy married women 18-40 years aged, who had referred to 14 health centers of the city of Ahvaz (center of Khouzestan province, south-west of Iran) were recruited in a cross-sectional design, and their socioeconomic and anthropometric questionnaires were completed by the trained students. Body fat percent (%BF) and body fat mass (BFM) were measured using BIA method. BMI425 and 430 kg/m 2 were used as criteria for determining the overweight and obese women, respectively. %BF435% was regarded as cutoff for defining obesity. Results: Mean age7s.d. of the women was 26.975.8 years and majority of them were housewives with secondary educational level. Their BMI, %BF, waist-to-hip ratio, and mid-upper arm circumference means were: 25.9(4.7) kg/m 2 , 27.6(7.3)%, 0.75(0.08) and 27.9(3.9) cm, respectively. Central obesity was prevalent in 21.2% of the subjects. Prevalence of obesity determined by BMI and BIA methods was 18.3 and 15.5% and women within normal ranges were detected in 44.7 and 46% of the subjects by these methods, respectively. However, thin (underweight) women were 2.6 and 14.6% of the subjects studied, respectively. About one half of the women were overweight or obese. BMI was statistically correlated with BFM (r ¼ 0.86; Po0.0001) and %BF (r ¼ 0.77; Po0.0001). Women with higher educational levels had lower body fat percentage and BMI than the other subjects with lower degrees (Po0.05). Conclusion: Obesity and overweight is prevalent in about one-half of the Ahvazian married women and more than one-fifth of the subjects have central obesity. BIA and BMI methods can similarly detect the normal and obese married women but they are different in determining the underweight female subjects. Women with higher educational grades tend to have lower BMI levels.

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Section: Discussionmentioning

confidence: 99%

Comparison between bioelectrical impedance analysis and body mass index methods in determination of obesity prevalence in Ahvazi women

Amani

2006

Eur J Clin Nutr

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“…Furthermore, the ethnic difference in TBW distribution can also influence the estimation of TBW and FFM by single frequency BIA. Single frequency BIA at 50 kHz primarily reflects the extracelluar water (ECW) space (Ellis et al, 1999). Those who have higher relative extracelluar water will have a lower resistance when measured by single frequency BIA, thus the RI will be higher for a given TBW/FFM and body weight.…”

Section: Development Of Bia Equationsmentioning

confidence: 99%

Validation of bioelectrical impedance analysis for total body water assessment against the deuterium dilution technique in Asian children

Liu

Byrne

et al. 2011

Eur J Clin Nutr

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Background/Objectives: To develop and cross-validate bioelectrical impedance analysis (BIA) prediction equations of total body water (TBW) and fat-free mass (FFM) for Asian pre-pubertal children from China, Lebanon, Malaysia, Philippines and Thailand. Subjects/Methods: Height, weight, age, gender, resistance and reactance measured by BIA were collected from 948 Asian children (492 boys and 456 girls) aged 8-10 years from the five countries. The deuterium dilution technique was used as the criterion method for the estimation of TBW and FFM. The BIA equations were developed using stepwise multiple regression analysis and cross-validated using the Bland-Altman approach. Results: The BIA prediction equation for the estimation of TBW was as follows: TBW ¼ 0.231 Â height 2 / resistance þ 0.066 Â height þ 0.188 Â weight þ 0.128 Â age þ 0.500 Â sexÀ0.316 Â ThaisÀ4.574 (R 2 ¼ 88.0%, root mean square error (RMSE) ¼ 1.3 kg), and for the estimation of FFM was as follows: FFM ¼ 0.299 Â height 2 /resistance þ 0.086 Â height þ 0.245 Â weight þ 0.260 Â age þ 0.901 Â sexÀ0.415 Â ethnicity (Thai ethnicity =1, others = 0)À6.952 (R 2 ¼ 88.3%, RMSE ¼ 1.7 kg). No significant difference between measured and predicted values for the whole cross-validation sample was found. However, the prediction equation for estimation of TBW/FFM tended to overestimate TBW/FFM at lower levels whereas underestimate at higher levels of TBW/FFM. Accuracy of the general equation for TBW and FFM was also valid at each body mass index category. Conclusions: Ethnicity influences the relationship between BIA and body composition in Asian pre-pubertal children. The newly developed BIA prediction equations are valid for use in Asian pre-pubertal children.

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“…16 -20 Most of these predictive equations are based on limited samples and two-component models that describe fat and FFM only. 21 To use the NHANES III BIA data to estimate national body composition distributions, a set of externally derived BIA prediction equations were developed using isotope dilution to predict TBW and a multicomponent model to predict FFM. 22 These equations provided estimates for the major body compartments when applied to the NHANES III data for non-Hispanic whites, non-Hispanic blacks and MexicanAmericans aged 12 -80 y.…”

Section: Introductionmentioning

confidence: 99%

Body composition estimates from NHANES III bioelectrical impedance data

et al. 2002

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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 representative sample of the US population. DESIGN: Anthropometric and BIA data were from the third National Health and Nutrition Examination Survey (NHANES III;. Sex-specific BIA prediction equations developed for this study were applied to the NHANES data, and mean values for TBW, FFM, TBF and %BF were estimated for selected age, sex and racial-ethnic groups. RESULTS: Among the non-Hispanic white, non-Hispanic black, and Mexican-American participants aged 12 -80 y examined in NHANES III, 15 912 had data available for weight, stature and BIA resistance measures. Males had higher mean TBW and FFM than did females, regardless of age or racial-ethnic status. Mean TBW and FFM increased from the adolescent years to midadulthood and declined in older adult age groups. Females had higher mean TBF and %BF estimates than males at each age group. Mean TBF also increased with older age groups to approximately 60 y of age after which it decreased. CONCLUSIONS: These mean body composition estimates for TBW, FFM, TBF and %BF based upon NHANES III BIA data provide a descriptive reference for non-Hispanic whites, non-Hispanic blacks and Mexican Americans in the US population.

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Bioelectrical impedance methods in clinical research: a follow-up to the NIH technology assessment conference

Cited by 166 publications

References 46 publications

Comparison between bioelectrical impedance analysis and body mass index methods in determination of obesity prevalence in Ahvazi women

Comparison between bioelectrical impedance analysis and body mass index methods in determination of obesity prevalence in Ahvazi women

Validation of bioelectrical impedance analysis for total body water assessment against the deuterium dilution technique in Asian children

Body composition estimates from NHANES III bioelectrical impedance data

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