{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T16:27:26Z","timestamp":1783700846212,"version":"3.55.0"},"reference-count":64,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T00:00:00Z","timestamp":1671580800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Individuals with high body fat have a higher risk of mortality. Numerous anthropometric-based predictive equations are available for body composition assessments; furthermore, bioelectrical impedance analysis (BIA) estimates are available. However, in older adults, the validity of body fat estimates requires further investigation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objective<\/jats:title><jats:p>To assess the agreement between percentage body fat (BF%) estimates by BIA and five predictive equations based on anthropometric characteristics using dual X-ray absorptiometry (DXA) as reference method. A secondary objective was to identify whether excluding short-stature women improves the agreement of BF% estimates in a group of community-dwelling, older Mexican women.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A concordance analysis of BF% was performed. A total of 121 older women participated in the study. Anthropometric information, BIA, and DXA body composition estimates were obtained. Five equations using anthropometric data were evaluated in order to determine body fat percentage (BF%) using DXA as reference method. Paired <jats:italic>t<\/jats:italic>-test comparisons and standard error of estimates (SEE) were obtained. The Bland-Altman plot with 95% limits of agreement and the concordance correlation coefficient (CCC) were used to evaluate the BF% prediction equations and BIA estimates.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The mean age of the study participants was 73.7 (\u00b15.8) years old. BIA and the anthropometric based equations examined showed mean significant differences when tested in the entire sample. For the taller women (height &amp;gt; 145 cm), no significant difference in the paired comparison was found between DXA and BIA of BF% estimates. The mean BF% was 40.3 (\u00b14.8) and 40.7 (\u00b16.2) for DXA and BIA, respectively. The concordance between methods was good (CCC 0.814), (SEE 2.62). Also, in the taller women subset, the Woolcott equation using waist-to-height ratio presented no significant difference in the paired comparison; however, the error of the estimates was high (SEE 3.37) and the concordance was moderate (CCC 0.693).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This study found that BIA yielded good results in the estimation of BF% among women with heights over 145 cm. Also, in this group, the Woolcott predictive equation based on waist circumference and height ratio showed no significant differences compared to DXA in the paired comparison; however, the large error of estimates observed may limit its application. In older women, short stature may impact the validity of the body fat percentage estimates of anthropometric-based predictive equations.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnut.2022.978971","type":"journal-article","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:24:20Z","timestamp":1671611060000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Comparison of body fat percentage assessments by bioelectrical impedance analysis, anthropometrical prediction equations, and dual-energy X-ray absorptiometry in older women"],"prefix":"10.3389","volume":"9","author":[{"given":"Mar\u00eda Consuelo","family":"Vel\u00e1zquez-Alva","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mar\u00eda Esther","family":"Irigoyen-Camacho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco Antonio","family":"Zepeda-Zepeda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Itzam","family":"Rangel-Castillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabel","family":"Arrieta-Cruz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luciano","family":"Mendoza-Garc\u00e9s","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Casta\u00f1o-Seiquer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Javier","family":"Flores-Fraile","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roger","family":"Guti\u00e9rrez-Ju\u00e1rez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,12,21]]},"reference":[{"key":"B1","first-page":"1","article-title":"Decade of healthy ageing.","volume":"20","year":"2020","journal-title":"World Heal Organ."},{"key":"B2","year":"2017","journal-title":"GBD Compare."},{"key":"B3","doi-asserted-by":"publisher","first-page":"1459","DOI":"10.1016\/S0140-6736(16)31012-1","article-title":"Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980\u20132015: a systematic analysis for the Global Burden of Disease Study 2015.","volume":"388","author":"Wang","year":"2016","journal-title":"Lancet."},{"key":"B4","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1177\/1403494818764810","article-title":"Prevalence and trends of overweight and obesity in older adults from 10 European countries from 2005 to 2013.","volume":"46","author":"Peralta","year":"2018","journal-title":"Scand J Public Health."},{"key":"B5","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0140-6736(19)30427-1","article-title":"Mortality, morbidity, and risk factors in China and its provinces, 1990\u20132017: a systematic analysis for the Global Burden of Disease Study 2017.","volume":"394","author":"Zhou","year":"2019","journal-title":"Lancet."},{"key":"B6","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1186\/s12916-014-0188-0","article-title":"Epidemiology of multimorbidity in China and implications for the healthcare system: cross-sectional survey among 162,464 community household residents in southern China.","volume":"12","author":"Wang","year":"2014","journal-title":"BMC Med."},{"key":"B7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/ijerph17228355","article-title":"Association between overweight, obesity and the prevalence of multimorbidity among the elderly: evidence from a cross-sectional analysis in Shandong, China.","volume":"17","author":"Hu","year":"2020","journal-title":"Int J Environ Res Public Health."},{"key":"B8","doi-asserted-by":"publisher","first-page":"e0256631","DOI":"10.1371\/journal.pone.0256631","article-title":"Changes in adiposity, physical activity, cardiometabolic risk factors, diet, physical capacity and well-being in inactive women and men aged 57-74 years with obesity and cardiovascular risk \u2013 A 6-month complex lifestyle intervention with 6-month follow-up.","volume":"16","author":"Hopstock","year":"2021","journal-title":"PLoS One."},{"key":"B9","doi-asserted-by":"crossref","first-page":"852","DOI":"10.21149\/10585","article-title":"Sobrepeso y obesidad en poblaci\u00f3n mexicana en condici\u00f3n de vulnerabilidad. 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