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人体测量学和身体成分对儿童骨骼健康的影响:丹麦儿童健康、活动与运动表现学校(CHAMPS)研究

The influence of anthropometry and body composition on children's bone health: the childhood health, activity and motor performance school (the CHAMPS) study, Denmark.

作者信息

Heidemann Malene, Holst René, Schou Anders J, Klakk Heidi, Husby Steffen, Wedderkopp Niels, Mølgaard Christian

机构信息

Hans Christian Andersen Children's Hospital, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark,

出版信息

Calcif Tissue Int. 2015 Feb;96(2):97-104. doi: 10.1007/s00223-014-9941-9. Epub 2014 Dec 25.

DOI:10.1007/s00223-014-9941-9
PMID:25539855
Abstract

Overweight, physical inactivity and sedentary behaviour have become increasing problems during the past decade. Increased sedentary behaviour may change the body composition (BC) by increasing the fat mass relative to the lean mass (LM). These changes may influence bone health to describe how anthropometry and BC predict the development of the bone accruement. The longitudinal study is a part of The CHAMPS study-DK. Children were DXA scanned at baseline and at 2-year follow-up. BC (LM, BF %) and BMC, BMD and BA were measured. The relationship between bone traits, anthropometry and BC was analysed by multilevel regression analyses. Of the invited children, 742/800 (93%) accepted to participate. Of these, 682/742 (92%) participated at follow-up. Mean (range) of age at baseline was 9.5 years (7.7-12.1). Height, BMI, LM and BF % predicted bone mineral accrual and bone size positively and independently. Height and BMI are both positive predictors of bone accruement. LM is a more precise predictor of bone traits than BF % in both genders. The effects of height and BMI and LM on bone accruement are nearly identical in the two genders, while changes in BF % have different but positive effects on bone accretion in both boys and girls.

摘要

在过去十年中,超重、缺乏身体活动和久坐行为已成为日益严重的问题。久坐行为的增加可能会通过增加脂肪量相对于瘦体重(LM)来改变身体成分(BC)。这些变化可能会影响骨骼健康,以描述人体测量学和身体成分如何预测骨量增加的发展。这项纵向研究是丹麦CHAMPS研究的一部分。在基线和2年随访时对儿童进行双能X线吸收测定(DXA)扫描。测量了身体成分(瘦体重、体脂百分比)以及骨矿物质含量(BMC)、骨密度(BMD)和骨面积(BA)。通过多水平回归分析来分析骨骼特征、人体测量学和身体成分之间的关系。在受邀儿童中,742/800(93%)接受参与。其中,682/742(92%)参与了随访。基线时年龄的平均值(范围)为9.5岁(7.7 - 12.1岁)。身高、体重指数(BMI)、瘦体重和体脂百分比对骨矿物质积累和骨大小有正向且独立的预测作用。身高和BMI都是骨量增加的正向预测因素。在男女两性中,瘦体重比体脂百分比是骨骼特征更精确的预测指标。身高、BMI和瘦体重对骨量增加的影响在两性中几乎相同,而体脂百分比的变化对男孩和女孩的骨量增加有不同但正向的影响。

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