Association Between Lean Mass, Fat Mass, and Bone Mineral Density: A Meta-analysis

骨矿物 股骨颈 医学 瘦体质量 置信区间 荟萃分析 脂肪团 人体测量学 体质指数 骨密度 相关性 内科学 骨质疏松症 内分泌学 体重 数学 几何学
作者
Lan T. Ho‐Pham,Uyen D. T. Nguyen,Tuan V. Nguyen
出处
期刊:The Journal of Clinical Endocrinology and Metabolism [Oxford University Press]
卷期号:99 (1): 30-38 被引量:271
标识
DOI:10.1210/jc.2013-3190
摘要

Body weight is the most important anthropometric determinant of bone mineral density (BMD). Body weight is mainly made up of lean mass (LM) and fat mass (FM), and which component is more important to BMD has been a controversial issue. This study sought to compare the magnitude of association between LM, FM, and BMD by using a meta-analytic approach. Using an electronic and manual search, we identified 44 studies that had examined the correlation between LM, FM, and BMD between 1989 and 2013. These studies involved 20 226 men and women (4966 men and 15 260 women) aged between 18 and 92 years. We extracted the correlations between LM, FM, and BMD at the lumbar spine, femoral neck, and whole body. The synthesis of correlation coefficients was done by the random-effects meta-analysis model. The overall correlation between LM and femoral neck BMD (FNBMD) was 0.39 (95% confidence interval, 0.34 to 0.43), which was significantly higher than the correlation between FM and FNBMD (0.28; 95% confidence interval, 0.22 to 0.33). The effect of LM on FNBMD in men (r = 0.43) was greater than that in women (r = 0.38). In premenopausal women, the effect of LM on BMD was greater than the effect of FM (r = 0.45 vs r = 0.30); however, in postmenopausal women, the effects of LM and FM on BMD were comparable (r = 0.33 vs r = 0.31). LM exerts a greater effect on BMD than FM in men and women combined. This finding underlines the concept that physical activity is an important component in the prevention of bone loss and osteoporosis in the population.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
威武的凡桃完成签到,获得积分10
刚刚
孤独的谷南完成签到,获得积分10
刚刚
贝北呗完成签到,获得积分10
刚刚
1秒前
英俊的一笑完成签到,获得积分10
1秒前
山泽发布了新的文献求助10
2秒前
不想上班完成签到,获得积分10
2秒前
霸气鞯完成签到 ,获得积分10
2秒前
心累完成签到,获得积分10
2秒前
小张要加油完成签到,获得积分10
3秒前
lin0u0完成签到,获得积分10
3秒前
Puan应助likes采纳,获得10
3秒前
3秒前
rtx00完成签到,获得积分10
4秒前
梁栋完成签到,获得积分10
4秒前
4秒前
苗条的以丹完成签到,获得积分10
4秒前
阿诗玛完成签到,获得积分10
5秒前
赵雪完成签到,获得积分10
5秒前
依依完成签到,获得积分10
5秒前
小二郎应助小樊同学采纳,获得10
6秒前
AHA完成签到,获得积分10
7秒前
QY完成签到,获得积分10
7秒前
7秒前
HAO完成签到 ,获得积分10
7秒前
小鹿完成签到,获得积分10
8秒前
ZW完成签到,获得积分10
8秒前
缓慢的初兰完成签到,获得积分10
8秒前
平常的剑完成签到 ,获得积分10
8秒前
爱栗子完成签到,获得积分10
9秒前
9秒前
文慧完成签到,获得积分20
9秒前
欣喜柚子完成签到,获得积分10
10秒前
木木完成签到,获得积分10
10秒前
10秒前
梁梁完成签到 ,获得积分10
10秒前
清和完成签到,获得积分10
10秒前
10秒前
口农完成签到,获得积分10
11秒前
深情安青应助Song采纳,获得10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7253170
求助须知:如何正确求助?哪些是违规求助? 8875348
关于积分的说明 18736290
捐赠科研通 6933751
什么是DOI,文献DOI怎么找? 3199896
关于科研通互助平台的介绍 2374618
邀请新用户注册赠送积分活动 2174539