ICCBH2013 Poster Presentations (1) (201 abstracts)
The influence of anthropometry and body composition on children’s bone health the Childhood Health, Activity and Motor Performance School (The CHAMPS) study, Denmark
Malene Heidemann 1 , René Holst 4 , Anders Schou 1 , Heidi Klakk 2 , Steffen Husby 1 , Niels Wedderkopp 2, & Christian Mølgaard 1,
1Hans Christian Andersen Children’s Hospital, Odense, Denmark; 2RICH, Centre of Research in Childhood Health, Odense, Denmark; 3Spine Centre of Southern Denmark, Middelfart, Denmark; 4Department of Biostatistics, Institute of Regional Health Research, Odense, Denmark; 5Department of Nutrition, Exercise and Sport, Faculty of Science, Copenhagen, Denmark.
Adiposity, physical inactivity and sedentary behavior have become an increasing problem during the past decade and raise concerns about future health. Increased sedentary behavior may change the body composition by increasing the fat mass (FM) relative to the lean mass (LM). These changes may influence bone health. This study aimed at evaluating the influence of BMI and body fat percent (BF%) and LM on children’s bone health represented by bone mineral content (BMC), bone area (BA) and bone mineral density (BMD) during a 2-year follow-up period.
Methods: The study is a part of The CHAMPS study- DK. In this longitudinal observational cohort study children were DXA scanned at baseline and at a 2-year follow-up. Body composition (BC) represented by LM, FM and BMC, BMD, and BA were measured, using total body less head (TBLH). The relationship between bone traits and anthropometry (height and BMI) and BC were analyzed by multiple regression analyses.
Results: Of the invited children, 742/800 (93%) accepted to participate in the DXA scans. Of these, 682/742 (92%) participated at follow-up. Mean (range) of age at baseline were 9.5 years (7.7–12.1). Mean (range) BMI, BF% and LM were 16.7 (12.3–28.5), 20 (6–43), 24.1 (16.3–40.1), respectively.
Conclusions: BMI is an important predictor of bone traits obtained by DXA in boys and girls. LM is a better predictor of bone traits in boys and BF% is a better predictor in girls. BMI do not detect gender differences in bone outcome as well as measurements of BC by DXA.
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