Correlation between body composition and bone mineral density differs by sex and skeletal site in overweight and obese Chinese subjects

医学 瘦体质量 超重 骨矿物 体质指数 内分泌学 硬骨素 肥胖 骨密度 内科学 体重 骨质疏松症 生物 生物化学 基因 Wnt信号通路
作者
Xiang Chen,Yanhong Guo,Fangli Zhou,Xi Wang,Suyuan Wang,Chenghui Zhang,Ming‐Xia Li,Yunhong Wu
出处
期刊:Journal of Clinical Densitometry [Elsevier]
卷期号:27 (4): 101526-101526
标识
DOI:10.1016/j.jocd.2024.101526
摘要

Previous studies have yielded inconsistent results regarding the relationship between obesity and bone mineral density (BMD). The aim of this study was to determine the influence of body composition on BMD and the serum sclerostin level in overweight and obese adults. The study had a cross-sectional design and included 90 men and 118 women with a body mass index ≥25. Fat mass, lean mass, and spinal and pelvic BMD were measured using dual-emission X-ray absorptiometry. Subcutaneous fat, visceral fat, and lean mass were measured between L2 and L3 by 16-slice spiral computed tomography. The serum sclerostin level was determined by enzyme-linked immunosorbent assay. Pearson analysis showed that fat mass and appendicular lean mass were positively correlated with spinal BMD in both sexes. A positive association of both fat mass and lean mass with pelvic BMD, which was stronger in women, was also found. Partial correlation analysis showed the positive association between fat mass and BMD was significantly attenuated but the positive association between lean mass and pelvic BMD remained after adjustment for age and body weight. A negative correlation was observed between visceral fat and spinal and pelvic BMD only in women, and the positive association between lean mass with pelvic BMD was more obvious in women than in men, indicating body composition seemed to have a greater impact on the BMD in women. The serum sclerostin level was positively associated with BMD but not with body composition. These findings suggest that the correlation between body composition and BMD is influenced by sex and skeletal site.

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
无心的砖家完成签到,获得积分10
刚刚
落后十八发布了新的文献求助20
刚刚
sheep完成签到,获得积分10
刚刚
SciGPT应助雨雨雨采纳,获得10
1秒前
直率诗柳完成签到,获得积分10
1秒前
刚国忠完成签到,获得积分20
1秒前
屈昭阳完成签到,获得积分20
1秒前
Lawenced发布了新的文献求助10
2秒前
何文发布了新的文献求助10
3秒前
尤寄风发布了新的文献求助10
3秒前
悬夜发布了新的文献求助10
4秒前
量子星尘发布了新的文献求助10
5秒前
6秒前
6秒前
Sunny完成签到 ,获得积分10
6秒前
7秒前
每天一篇文献的小王完成签到 ,获得积分10
7秒前
一十六完成签到,获得积分10
7秒前
aikeyan完成签到,获得积分10
7秒前
我是老大应助L山间葱采纳,获得10
8秒前
8秒前
波风水门pxf完成签到,获得积分10
8秒前
小俊完成签到,获得积分10
9秒前
悬夜完成签到,获得积分10
9秒前
10秒前
狗不理发布了新的文献求助10
10秒前
edtaa发布了新的文献求助10
10秒前
10秒前
lewis17发布了新的文献求助10
11秒前
sens发布了新的文献求助10
11秒前
DamonChen完成签到,获得积分10
11秒前
NexusExplorer应助Lawenced采纳,获得10
11秒前
11秒前
WuLujie发布了新的文献求助10
11秒前
不做Aspirin完成签到 ,获得积分10
11秒前
mylove应助morry5007采纳,获得10
12秒前
隐形曼青应助Aurora采纳,获得10
12秒前
从容问雁发布了新的文献求助10
12秒前
12秒前
woshiwuziq完成签到 ,获得积分10
12秒前
高分求助中
(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
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608504
求助须知:如何正确求助?哪些是违规求助? 4693127
关于积分的说明 14876947
捐赠科研通 4717761
什么是DOI,文献DOI怎么找? 2544250
邀请新用户注册赠送积分活动 1509316
关于科研通互助平台的介绍 1472836