{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T13:59:50Z","timestamp":1792677590489,"version":"4.5.0"},"reference-count":45,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T00:00:00Z","timestamp":1550188800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":["www.cambridge.org"],"crossmark-restriction":true},"short-container-title":["Public Health Nutr."],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec id=\"S1368980018004044_abs1\" sec-type=\"general\"><jats:title>Objective<\/jats:title><jats:p>To develop a new predictive equation for fat mass percentage (%FM) based on anthropometric measurements and to assess its ability to discriminate between obese and non-obese individuals.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980018004044_abs2\" sec-type=\"general\"><jats:title>Design<\/jats:title><jats:p>Cross-sectional study.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980018004044_abs3\" sec-type=\"general\"><jats:title>Setting<\/jats:title><jats:p>Mexican adults.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980018004044_abs4\" sec-type=\"general\"><jats:title>Participants<\/jats:title><jats:p>Adults (<jats:italic>n<\/jats:italic>275; 181 women) aged 20\u201363 years with BMI between 17\u00b74 and 42\u00b74 kg\/m<jats:sup>2<\/jats:sup>.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980018004044_abs5\" sec-type=\"results\"><jats:title>Results<\/jats:title><jats:p>Thirty-seven per cent of our sample was obese using %FM measured by air-displacement plethysmography (BOD POD\u00ae; Life Measurement Instruments). The fat mass was computed from the difference between weight and fat-free mass (FFM). FFM was estimated using an equation obtained previously in the study from weight, height and sex of the individuals. The %FM estimated from the obtained FFM showed a sensitivity of 90\u00b73 (95 % CI 86\u00b78, 93\u00b78) % and a specificity of 58\u00b70 (95 % CI 52\u00b71, 63\u00b78) % in the diagnosis of obesity. Ninety-three per cent of participants with obesity and 65 % of participants without obesity were correctly classified.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980018004044_abs6\" sec-type=\"conclusions\"><jats:title>Conclusions<\/jats:title><jats:p>The anthropometry-based equation obtained in the present study could be used as a screening tool in clinical and epidemiological studies not only to estimate the %FM, but also to discriminate the obese condition in populations with similar characteristics to the participant sample.<\/jats:p><\/jats:sec>","DOI":"10.1017\/s1368980018004044","type":"journal-article","created":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T12:31:06Z","timestamp":1550233866000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":3,"title":["An anthropometry-based equation of fat mass percentage as a valid discriminator of obesity"],"prefix":"10.1017","author":[{"given":"Lilia 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