{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T03:09:35Z","timestamp":1783048175014,"version":"3.54.6"},"reference-count":52,"publisher":"Cambridge University Press (CUP)","issue":"9","license":[{"start":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T00:00:00Z","timestamp":1584316800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Public Health Nutr."],"published-print":{"date-parts":[[2020,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec id=\"S1368980019004191_as1\" sec-type=\"other\"><jats:title>Objective:<\/jats:title><jats:p>To propose a new anthropometric index that can be employed to better predict percent body fat (PBF) among young adults and to compare with current anthropometric indices.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980019004191_as2\" sec-type=\"other\"><jats:title>Design:<\/jats:title><jats:p>Cross-sectional.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980019004191_as3\" sec-type=\"other\"><jats:title>Setting:<\/jats:title><jats:p>All measurements were taken in a controlled laboratory setting in Seoul (South Korea), between 1 December 2015 and 30 June 2016.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980019004191_as4\" sec-type=\"other\"><jats:title>Participants:<\/jats:title><jats:p>Eighty-seven young adults (18\u201335 years) who underwent dual-energy x-ray absorptiometry (DXA) were used for analysis. Multiple regression analyses were conducted to develop a body fat index (BFI) using simple demographic and anthropometric information. Correlations of DXA measured PBF (DXA_PBF) with previously developed anthropometric indices and the BFI were analysed. Receiver operating characteristic curve analyses were conducted to compare the ability of anthropometric indices to identify obese individuals.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980019004191_as5\" sec-type=\"other\"><jats:title>Results:<\/jats:title><jats:p>BFI showed a strong correlation with DXA_PBF (<jats:italic>r<\/jats:italic> = 0\u00b784), which was higher than the correlations of DXA_PBF with the traditional (waist circumference, <jats:italic>r<\/jats:italic> = 0\u00b749; waist to height ratio, <jats:italic>r<\/jats:italic> = 0\u00b768; BMI, <jats:italic>r<\/jats:italic> = 0\u00b736) and alternate anthropometric indices (a body shape index, <jats:italic>r<\/jats:italic> = 0\u00b747; body roundness index, <jats:italic>r<\/jats:italic> = 0\u00b768; body adiposity index, <jats:italic>r<\/jats:italic> = 0\u00b770). Moreover, the BFI showed higher accuracy at identifying obese individuals (area under the curve (AUC) = 0\u00b791), compared with the other anthropometric indices (AUC = 0\u00b771\u20130\u00b786).<\/jats:p><\/jats:sec><jats:sec id=\"S1368980019004191_as6\" sec-type=\"other\"><jats:title>Conclusions:<\/jats:title><jats:p>The BFI can accurately predict DXA_PBF in young adults, using simple demographic and anthropometric information that are commonly available in research and clinical settings. However, larger representative studies are required to build on our findings.<\/jats:p><\/jats:sec>","DOI":"10.1017\/s1368980019004191","type":"journal-article","created":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T07:52:14Z","timestamp":1584345134000},"page":"1507-1514","source":"Crossref","is-referenced-by-count":10,"title":["A new anthropometric index to predict percent body fat in young adults"],"prefix":"10.1017","volume":"23","author":[{"given":"Hyuk In","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wonhee","family":"Cho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ki Yong","family":"Ahn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seung-chul","family":"Shin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ju-hwa","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seoungjae","family":"Yoo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong-in","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eun-Young","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong Hoon","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John C","family":"Spence","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin Y","family":"Jeon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2020,3,16]]},"reference":[{"key":"S1368980019004191_ref3","first-page":"1","article-title":"Physical status: the use and interpretation of anthropometry. 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