Comparison of Body Composition Methods in Obese African‐American Women
Open accessAbstract
Objective: To compare the accuracy of percentage body fat (%BF) estimates between bioelectrical impedance analysis (BIA) and DXA in obese African‐American women. Research Methods and Procedures: Fifty‐five obese African‐American women (mean age, 45 years; mean BMI, 38; mean %BF, 48%) were studied. BF was assessed by both BIA (RJL Systems BIA 101Q; RJL Systems, Clinton Township, MI) and DXA (Hologic QDR‐2000 Bone Densitometer; Hologic Inc., Bedford, MA). Generalized and ethnicity‐ and obese‐specific equations were used to calculate %BF from the BIA. Bland‐Altman analyses were used to compare the agreement between the BIA and the DXA, with the DXA serving as the criterion measure. Results: Two of the generalized equations provided consistent estimates across the weight range in comparison with the DXA estimates, whereas most of the other equations increasingly underestimated %BF as BF increased. One of the generalized and one of the ethnicity‐specific equations had mean differences that were not significantly different from the DXA value. Discussion: The findings show that the Lukaski equation provided the most precise and accurate estimates of %BF in comparison with the QDR 2000 and provide preliminary support for the use of this equation for obese African‐American women.
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Claims the paper makes
4 of 46 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Interpretationcitation
Differences in body properties related to obesity and ethnicity may prevent a single BIA equation from being best for all.
“mounting evidence suggests that the differences in the properties of the body, such as those related to obesity (3) and ethnicity (6,9,33), may prevent this from becoming a reality.”
Quote in the paperSubstantial claim1 of 4 sources checked - Findingown data
Jakicic's equation provided biased estimates.
“It is also somewhat surprising that Jakicic's equation (4) provided biased estimates because it was developed on a similar sample of obese African-American adult women.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] source
- Findingown data
In the sample, mean %BF by DXA was 48.5% (SD 6.2).
“According to the DXA, on average, the women had 48% BF (Table 3).”
- Also stated in: § Discussion · plain
“DXA | 48.5 | (6.2) | 30.8 to 63.6”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Findingown data
All BIA equations except Segal 2 had significant negative slopes, indicating increasing underestimation of %BF as BF increased.
“All of the other equations (except Segal 2) had significant negative slopes, meaning that they increasingly underestimated %BF as BF increased.”
Quote in the paperSubstantial claim - Findingown data
The Sun equation was significantly biased and underestimated %BF in this sample.
“Of note, the equation developed by Sun was significantly biased and underestimated %BF.”
Quote in the paperSubstantial claim
- Findingown data
Wang and Lukaski equations had mean differences not significantly different from DXA.
“The Wang and Lukaski equations had mean differences that were not significantly different from the DXA value.”
Quote in the paperSubstantial claim - Interpretationown data
The biased estimates from Jakicic's equation illustrate the difficulty of cross-validating an equation outside its original sample, even when samples are similar.
“This finding, in particular, illustrates the difficulty in cross-validating an equation outside of the original sample, even when the original and cross-validation samples are quite similar.”
Quote in the paperSubstantial claim - Interpretationown data
No single BIA equation is best fit for all populations.
“Our findings also support the notion that no one BIA equation is best fit for all populations.”
Quote in the paperSubstantial claim - Interpretationown data
The Kushner and Lukaski equations estimated %BF more accurately than an obese-specific equation and two equations developed from African-American samples.
“These equations more accurately estimated %BF than an equation that was developed specifically for use with obese participants (3) and two others (4,9) that were developed from African-American samples.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The findings do not clearly support using obese- or ethnicity-specific equations for obese African-American female samples.
“Given the few studies with obese African-American adults, our findings do not lend clear support for the use of obese-or ethnicity-specific equations for obese African-American female samples.”
Quote in the paperSubstantial claim - Study design and conductnone given
The study had a small sample size.
“An additional limitation was the small sample size, yet few studies have reported data for larger samples of overweight women.”
Quote in the paperNot a substantial claim - Interpretationown data
The Kushner and Lukaski BIA equations provided the most precise and accurate %BF estimates compared with DXA.
“The findings show that the Lukaski equation provided the most precise and accurate estimates of %BF in comparison with the QDR 2000 and provide preliminary support for the use of this equation for obese African-American women.”
- Also stated in: § Discussion · plain
“The findings show that the Kushner (21) and Lukaski (22) BIA equations provided the most precise and accurate estimates of %BF in comparison with DXA.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Premisecitation
Differences in intra- and inter-manufacturer DXA estimates are small.
“Studies have shown that the differences in intraand inter-manufacturer estimates are small (11,14 -16).”
Quote in the paperNot a substantial claim0 of 4 sources checked - Interpretationreasoning
The %BF estimates reported for African-American women in the nationally representative sample may have been underestimated.
“The findings suggest that the %BF estimates reported for African-American women in the nationally representative sample (32) may have been underestimated.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] source
- Study design and conductnone given
The study sample was homogeneous, being an overweight adult African-American female population.
“The major limitation of the current study was the homogeneity of the sample (i.e., an overweight adult African-American female population).”
Quote in the paperSubstantial claim - Premisecitation
Only the Lukaski equation has been previously applied to African Americans.
“Only the Lukaski equation has been previously applied to African Americans.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] source
- Premisecitation
Segal's obese-specific equation has been shown to be equally predictive as the same author's generalized equation.
“Segal's obese-specific equation (3) has been shown to be equally predictive as the same author's generalized equation (1)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] source
- cites [1]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
An equation developed on a primarily white sample could be inaccurate when applied to an African-American sample.
“Therefore, an equation developed on a primarily white sample could be inaccurate when applied to an African-American sample.”
Quote in the paperSubstantial claim- Rests on an assumption: Compared with whites, African Americans have differences in bone mineral content within fat-free mass, in fat distribution and body shape, and in limb length proportions.
- Premisecitation
The Kushner equation has provided accurate estimates in obese populations.
“because the Kushner equation has provided accurate estimates in obese populations (31), including the current one”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] source
- May combine two claims. 18
- Classified as probably not a substantial claim. 6
- The quote only partly states this claim. 1
May combine two claims.
Study design and conductcitationIn the authors' laboratory, DXA coefficients of variation were 0.25% for weight, 1.0% for lean mass, 1.6% for fat mass, and 1.5% for percentage fat.
“Data from our laboratory show that the coefficient of variation for weight was 0.25%, lean mass was 1.0%, 1.6% for fat mass, and 1.5% for percentage fat (18).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [18] source
May combine two claims.
PremisecitationIn the same sample, the Lukaski equation significantly underestimated fat-free mass, but its estimates were unaffected by body weight in obese women.
“In this same sample, the Lukaski equation provided estimates that significantly underestimated fat-free mass, but estimates were unaffected by body weight in obese women.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [29] source
The Discussion states that the Lukaski equation significantly underestimated fat-free mass, and the Results say it failed to cross-validate in every subgroup, including obese women. The paper reports that its discrepancy was not influenced by obesity and that a trend with fat mass was significant only in the full sample (Results, p. 534); it does not establish that estimates were unaffected by body weight within obese women. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn a study of normal and overweight adults, the Kushner equation accurately predicted fat-free mass in overweight women but tended to overestimate fat-free mass as fat mass increased.
“In a study of normal and overweight adults (29), the Kushner equation accurately predicted fat-free mass in overweight women, although it also tended to overestimate fat-free mass with increasing fat mass.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [29] source
The Results (Table 3) say the Kushner equation cross-validated in obese women, supporting that part of the claim, though the paper calls this group obese rather than overweight. The Results (p. 534) also report overestimation with increasing fat mass, but only in women; the citing sentence leaves that restriction unstated. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataLimits of agreement for all equations ranged from 5.4% to 10.2%, with most about 6.5% above and below the mean difference.
“The limits of agreement for all of the equations were between 5.4% and 10.2%, with the majority lying ϳ6.5% above and below the mean difference.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Findingown dataThe study enrolled 55 obese African-American women.
“Fifty-five obese African-American women (mean age, 45 years; mean BMI, 38; mean %BF, 48%) were studied.”
- Also stated in: § Participants · plain
“The 55 African-American women who volunteered for the current study were recruited as part of a study that tested the efficacy of a weight-loss program (17).”
Quote in the paperSubstantial claim- Also stated in: § Participants · plain
May combine two claims.
Findingown dataAll BIA equations except Wang produced lower mean %BF than DXA; Wang's mean equaled DXA.
“Table 3 also shows that all of the BIA equations resulted in mean %BF estimates that were lower than the estimates determined by DXA, except the Wang equation, whose estimates were equal to the DXA.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationDXA estimates of %BF are accurate, but values can differ by DXA instrumentation.
“Estimates of %BF are also accurate (11)(12)(13), but values can differ based on the DXA instrumentation utilized (e.g., Lunar, Hologic, Norland).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims. The quote only partly states this claim.
Interpretationown dataThe findings support the hypothesis that the Sun equation would be inaccurate at higher body weights and would estimate better for whites than African Americans, in middle-aged obese African-American women.
“The findings of the current study support this hypothesis for middle-aged, obese African-American adult women.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe Lukaski and Kushner equations gave estimates unaffected by body weight, but only Lukaski gave unbiased estimates.
“The Lukaski (22) and Kushner (21) equations provided estimates that were unaffected by the participants' body weight, but only the Lukaski equation ( 22) provided unbiased estimates.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
Interpretationown dataNeither ethnicity-specific nor obese-specific equations provided better estimates than two generalized equations.
“Our findings show that neither ethnicity-specific [Jakicic (4) and Wang (9)] nor obese-specific [Segal (3) and Jakicic (4)] equations provided better estimates than two generalized equations (21,22).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationDXA provides accurate estimates of bone mineral content and bone mineral density.
“The DXA method has been shown to provide accurate estimates of bone mineral content and bone mineral density (11).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] source
Classified as probably not a substantial claim.
InterpretationreasoningThe study's conclusions should not be generalized to other ethnic or age groups, genders, or non-obese samples.
“Therefore, conclusions should not be generalized to other ethnic or age groups, genders, or to non-obese samples.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn a sample of obese women, the Kushner equation overestimated %BF by 1% to 2%, while the Lukaski equation underestimated %BF by 3.7% to 4.0%, compared with densitometry, deuterium dilution, and the three-component model.
“In a sample of obese women (1), the Kushner equation overestimated %BF between 1% and 2%, whereas the Lukaski equation underestimated %BF between 3.7% and 4.0%, in comparison with densitometry, deuterium dilution, and the three-component model.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1]
May combine two claims.
PremisecitationSparling et al. showed the average estimate was 29% different from densitometrically determined fat-free mass in normal weight African-American women but only 5% different in white women.
“Sparling et al. (30) showed that the average estimate was 29% different than the densitometrically determined fat-free mass value in normal weight African-American women but only 5% different in white women.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome studies have shown DXA measurement differences are less than 2%.
“Some have shown that the measurement differences are Ͻ2% (36 -38).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningIt is difficult to predict how the BIA equations used here will perform with different DXA instruments, but differences are likely about 3%.
“Therefore, it is difficult to predict exactly how the BIA equations used in the present study will perform when used with different DXA instruments, but it is likely that the differences will be ϳ3%.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationSun noted their generalized equation better estimated body composition in the white sample and would likely underestimate %BF in African Americans.
“Furthermore, Sun (7) noted that their generalized equation (developed on a sample across a wide range of body weights) better estimated body composition in the white sample and that the equation would likely underestimate percentage BF (%BF) in African Americans.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] source
May combine two claims.
PremisecitationSun developed one equation intended for use across ethnic groups, while other equations are ethnicity-specific.
“Sun (7) developed one equation that could be used across ethnic groups, whereas the other equations are separate based on ethnicity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] source
May combine two claims.
PremisecitationAt least two studies, one using QDR 2000, have shown QDR overestimates Lunar.
“However, at least two studies (14,35), one of which was conducted with the QDR 2000 (14), have shown that the QDR overestimates Lunar.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDPX instruments overestimate %BF compared with QDR instruments by 3% to 8%.
“Several researchers have shown that DPX instruments overestimate %BF values in comparison with QDR instruments from 3% to 8% (16,34).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [16]
- cites [34]
May combine two claims.
PremisecitationBody composition differences exist between ethnic groups and could affect BIA accuracy.
“Studies have shown that body composition differ-ences exist between ethnic groups (5) that could affect the accuracy of BIA measurement.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] source
May combine two claims.
PremisecitationSun, Ainsworth, and Wang equations included individuals from all weight ranges; Jakicic's sample was exclusively obese; Hortobagyi included college athletes.
“In addition, the Sun (7), Ainsworth (8), and Wang (9) equations included individuals from all weight ranges, whereas Jakicic's (4) sample was exclusively obese, and Hortobagyi (10) included college athletes.”
Quote in the paperNot a substantial claim0 of 3 sources checked
The paper relies on this without support.
BIA becomes less accurate as body fat increases.
“Studies have found that BIA becomes less accurate as body fat (BF) increases.”
The paper relies on this without support.
No additional obese populations beyond the original validation sample have been used to test the Jakicic equation.
“the Jakicic equation ( 4) has not been tested on additional obese populations outside the original validation sample.”
The paper relies on this without support.
Compared with whites, African Americans have differences in bone mineral content within fat-free mass, in fat distribution and body shape, and in limb length proportions.
“For example, African Americans differ from whites with respect to fat-free mass (bone mineral content), body shape (fat distribution), and body proportion (length of limbs).”
The paper relies on this without support.
Sun's hypothesis that their generalized equation would underestimate %BF in African Americans has not been directly tested.
“However, this hypothesis has not been directly tested.”
The paper relies on this without support.
Results from different DXA scanners vary somewhat because of software, scanner generation, and scan mode.
“Although DXA is commonly used as a reference method, differences between DXA scanners yield slightly different results due to differences in software, generation of DXA instrument, and scan mode.”
The paper relies on this without support.
The majority of BIA equations were derived using white participants and later used with people of other ethnicities.
“Most BIA equations have been developed on white samples and then applied to individuals from other ethnic groups.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Abstract and Table 2 give different mean ages
MinorThe abstract reports a mean age of 45 years, whereas Table 2 reports 43.1 years for the participants. Rounding 43.1 to a whole year gives 43, not 45.
“Fifty-five obese African-American women (mean age, 45 years; mean BMI, 38; mean %BF, 48%) were studied.”
“| Age (years) | 43.1 | (6.3) | 33.0 to 54.3 |”
BIA table cites the wrong reference number for Deurenberg
MinorTable 3 labels the Deurenberg equation as reference 13, but the reference list assigns Deurenberg to reference 20. Reference 13 is a different paper.
“| Deurenberg (13) | 38.8 | (4.0) | 27.3 to 49.3 |”
“20. Deurenberg P, Kusters CS, Smit HE. Assessment of body composition by bioelectrical impedance in children and young adults is strongly age-dependent.”
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Woolcott, O. O., & Bergman, R. N. (2018) · Scientific Reports · doi:10.1038/s41598-018-29362-1 · Cited by 399 · see citing works
The Evidence for Dietary Prevention and Treatment of Cardiovascular Disease
Horn, L. V., McCoin, M., Kris‐Etherton, P. M., Burke, F., Carson, J. A. S., Champagne, C. M., Karmally, W., & Sikand, G. (2008) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2007.10.050 · Cited by 322 · see citing works
Weight Gain Associated With Integrase Stand Transfer Inhibitor Use in Women
Kerchberger, A. M., Sheth, A. N., Angert, C. D., et al. (2019) · Clinical Infectious Diseases · doi:10.1093/cid/ciz853 · Cited by 129 · see citing works
Batech, M., Beeson, W. L., Schultz, E. M., Salto, L., Firek, A. F., DeLeon, M., Balcázar, H., & Cordero‐MacIntyre, Z. (2010) · The FASEB Journal · doi:10.1096/fasebj.24.1_supplement.563.1 · Cited by 67 · see citing works
“Newton et al.[6] compared several generalized BIA equations and found only two, the Lukaski [7] and Kushner [8] equations, would provide consistent estimates when compared with fan-beam DXA, while others would underestimate percent body fat as it increased among obese African-American women.”
ResultValidity of Leg-to-Leg Bioelectrical Impedance Analysis to Estimate Body Fat in Obesity
Lloret‐Linares, C., Ciangura, C., Bouillot, J., Coupaye, M., Declèves, X., Poitou, C., Basdevant, A., & Oppert, J. (2010) · Obesity Surgery · doi:10.1007/s11695-010-0296-7 · Cited by 70 · see citing works
Woolcott, O. O., & Bergman, R. N. (2019) · Scientific Reports · doi:10.1038/s41598-019-51701-z · Cited by 67 · see citing works
Fakhrawi, D. H., Beeson, L., Libanati, C., Feleke, D., Kim, H., Quansah, A., Darnell, A., Lammi-Keefe, C. J., & Cordero-MacIntyre, Z. (2009) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2009.01.004 · Cited by 48 · see citing works
Li, Y.-C., Li, C.-I., Lin, W., Liu, C.-S., Hsu, H.-S., Lee, C.-C., Chen, F.-N., Li, T., & Lin, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058272 · Cited by 44 · see citing works
Ramírez‐Vélez, R., Tordecilla‐Sanders, A., Correa‐Bautista, J. E., González‐Ruíz, K., González‐Jiménez, E., Triana-Reina, H. R., García‐Hermoso, A., & Schmidt‐RioValle, J. (2017) · American Journal of Human Biology · doi:10.1002/ajhb.23071 · Cited by 28 · see citing works
“…with those of other researchers because of the difference in devices used, such as foot-to-foot BIA (Erceg et al., 2010; Lazzer et al., 2003; Newton et al., 2005, 2006), devices with adhesive tape (Aslam et al., 2009; Bosy-Westphal et al., 2008; Neovius et al., 2006), and multi-frequency…”
MethodSim, P. Y., Su, T. T., Majid, H. A., Nahar, A. M., & Jalaludin, M. Y. (2014) · BioMed Research International · doi:10.1155/2014/475659 · Cited by 21 · see citing works
“Furthermore, BF% was underestimated by 3.8% for underweight/normal adults and 5.2% for overweight/obese adults when using the foot-to-foot BIA compared to the DSM-BIA.”
MethodInfluentialCichosz, S. L., Rasmussen, N. H.-H., Vestergaard, P., & Hejlesen, O. K. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820971348 · Cited by 17 · see citing works
Pekmezi, D., Ainsworth, M. C., Joseph, R. P., Bray, M. S., Kvale, E. A., Isaac, S., Desmond, R. A., Meneses, K., Marcus, B. H., & Demark‐Wahnefried, W. (2016) · Contemporary Clinical Trials · doi:10.1016/j.cct.2016.02.009 · Cited by 18 · see citing works
Analysis of Body Composition Methods in a Community Sample of African American Women
Lopez, Y., O’Connor, D. P., Ledoux, T. A., & Lee, R. E. (2011) · Women & Health · doi:10.1080/03630242.2011.623222 · Cited by 14 · see citing works
“…previous studies that validated the published BIA equations used a tetra-polar impedance analyzer (Jakicic et al., 1998; Kushner et al., 1992; Newton et al., 2006; Segal et al., 1988; Wang et al., 1995) compared to the bi-pedal scale analyzer from a different manufacturer used in our study.”
BackgroundMethodFuzzy Obesity Index for obesity treatment and surgical indication
Miyahira, S. A., & Araújo, E. (2008) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzzy.2008.4630703 · Cited by 12 · see citing works
Nunes, R. R., Clemente, E. L. S., Pandini, J. A., Cobas, R. A., Dias, V. M., Sperandei, S., & Gomes, M. B. (2009) · Arquivos Brasileiros de Endocrinologia & Metabologia · doi:10.1590/s0004-27302009000300011 · Cited by 10 · see citing works
GLP-1 Receptor Agonists for Treatment of Pediatric Obesity: Behavioral Health Considerations
Jhe, G., Egbert, A. H., Ievers‐Landis, C. E., Chaves, E. A., Genuario, K., Santos, M., & Burton, E. T. (2025) · Childhood Obesity · doi:10.1089/chi.2024.0418 · Cited by 6 · see citing works
Pekmezi, D., Ainsworth, M. C., Holly, T., Williams, V., Benitez, T. J., Wang, K., Rogers, L. Q., Marcus, B. H., & Demark‐Wahnefried, W. (2017) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2017.10.008 · Cited by 4 · see citing works
Vanzella, L. M., Lawand, R., Shuaib, M., OH, P. I., Corbett, D., & Marzolini, S. (2022) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000004287 · Cited by 3 · see citing works
“Some cross-sectional studies of obese populations have reported that BIA underestimates FM % (14,21,22,34), whereas others, similar with our findings, have indicated BIA overestimates FM% (6,11,15,19,28).”
ResultBalas-Nakash, M., Legorreta-Legorreta, J., Rodríguez-Cano, A. M., Aguilera-Pérez, R., & Perichart‐Perera, O. (2010) · PubMed · Cited by 2 · see citing works
Miyahira, S. A., Azevedo, J. L. M. C., & Filho, J. A. (2011) · Nature Precedings · doi:10.1038/npre.2011.5516.2 · Cited by 2 · see citing works
Estudio comparativo intermetodológico de la composición corporal (Antropometría, Bia y Dexa)
Alburquerque‐Sendín, F. (2008) · doi:10.14201/gredos.17593 · Cited by 2 · see citing works
Assessment of body fat percentage in Emirati females: a comparative analysis of BIA vs. DXA
Haroun, D., & Ehsanallah, A. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1717492 · Cited by 1 · see citing works
Cai, D. J. (2009) · doi:10.1002/9780813819679.ch1
Body composition assessment methods: A systematic review and recommendations
Lopez, Y., Mama, S. K., Wilson, P. L., et al. (2009)
de Melo, G. F., Américo, D. R., & Glaner, M. F. (2015) · Brazilian Journal of Kinanthropometry and Human Performance · doi:10.5007/1980-0037.2015v17n5p583
Assessment of Body Fat Percentage in Emirati Females: A Comparative Analysis of BIA vs DXAPreprint
Haroun, D., & Ehsanallah, A. (2024) · Research Square · doi:10.21203/rs.3.rs-4636500/v1
- Authors
- Newton, R. L., Alfonso, A., York‐Crowe, E., Walden, H., White, M. A., Ryan, D., & Williamson, D. A.
- Affiliations
- Pennington Biomedical Research Center (US)
- Yale University (US)
- Corresponding author
- Williamson, Donald A.
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2006-03
- Volume
- 14
- Issue
- 3
- Pages
- 415-422
- ISSN
- 1930-7381 (ISSN-L)
- 1930-739X
- OpenAlex
- W2061041983
- Semantic Scholar
- 7aae828cc6ca0a6e0fe1d961eda58c7bd10117ed
- Cited by
- 27
- References
- 38
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 1 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 1 · 2014: 1 · 2013: 1
- FWCI
- 1.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Obesity (publishedVersion)
- PubMed (publishedVersion)
- Civil War Book Review (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- body composition, body fat percentage, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, African American women, measurement agreement, underestimation of body fat
- MeSH terms
- Adult, Anthropometry, Black or African American, Body Composition, Female, Humans, Middle Aged, Models, Theoretical, Obesity
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