{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T02:13:09Z","timestamp":1793067189046,"version":"4.5.0"},"reference-count":28,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2001,9,1]],"date-time":"2001-09-01T00:00:00Z","timestamp":999302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2001,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The objective of this study was to develop an anthropometry-based prediction model for the assessment of bone mineral content (BMC) in children. Dual-energy X-ray absorptiometry (DXA) was used to measure whole-body BMC in a heterogeneous cohort of 982 healthy children, aged 5\u201318 years, from three ethnic groups (407 European- American [EA], 285 black, and 290 Mexican-American [MA]). The best model was based on log transformations of BMC and height, adjusted for age, gender, and ethnicity. The mean \u00b1 SD for the measured\/predicted ln ratio was 1.000 \u00b1 0.017 for the calibration population. The model was verified in a second independent group of 588 healthy children (measured\/predicted ln ratio = 1.000 \u00b1 0.018). For clinical use, the ratio values were converted to a standardized Z score scale. The whole-body BMC status of 106 children with various diseases (42 cystic fibrosis [CF], 29 juvenile dermatomyositis [JDM], 15 liver disease [LD], 6 Rett syndrome [RS], and 14 human immunodeficiency virus [HIV]) was evaluated. Thirty-nine patients had Z scores less than \u22121.5, which suggest low bone mineral mass. Furthermore, 22 of these patients had severe abnormalities as indicated by Z scores less than \u22122.5. These preliminary findings indicate that the prediction model should prove useful in determining potential bone mineral deficits in individual pediatric patients.<\/jats:p>","DOI":"10.1359\/jbmr.2001.16.9.1658","type":"journal-article","created":{"date-parts":[[2006,4,26]],"date-time":"2006-04-26T20:52:32Z","timestamp":1146084752000},"page":"1658-1664","source":"Crossref","is-referenced-by-count":113,"title":["Z Score Prediction Model for Assessment of Bone Mineral Content in Pediatric Diseases"],"prefix":"10.1093","volume":"16","author":[{"given":"Kenneth J.","family":"Ellis","sequence":"first","affiliation":[{"name":"U.S. Department of Agriculture\/Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roman J.","family":"Shypailo","sequence":"additional","affiliation":[{"name":"U.S. Department of Agriculture\/Agricultural Research 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