亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Body composition phenotypes and bone health in young adults: A cluster analysis

瘦体质量 医学 体质指数 心肺适能 内科学 骨矿物 星团(航天器) 质量指数 瘦肉组织 内分泌学 生理学 脂肪组织 骨质疏松症 体重 计算机科学 程序设计语言
作者
Ana Torres‐Costoso,Vicente Martínez‐Vizcaíno,Fátima Baptista,Sara Reina‐Gutiérrez,Sergio Núñez de Arenas‐Arroyo,Luis Enrique Hernández-Castillejo,Miriam Garrido‐Miguel
出处
期刊:Clinical Nutrition [Elsevier]
卷期号:42 (7): 1161-1167 被引量:3
标识
DOI:10.1016/j.clnu.2023.05.006
摘要

Background and aimsLean mass is considered the best predictor of bone mass, as it is an excellent marker of bone mechanical stimulation, and changes in lean mass are highly correlated with bone outcomes in young adults. The aim of this study was to use cluster analysis to examine phenotype categories of body composition assessed by lean and fat mass in young adults and to assess how these body composition categories are associated with bone health outcomes.MethodsCluster cross-sectional analyses of data from 719 young adults (526 women) aged 18–30 years from Cuenca and Toledo, Spain, were conducted. Lean mass index (lean mass (kg)/height (m)2), fat mass index (fat mass (kg)/height (m)2), bone mineral content (BMC) and areal bone mineral density (aBMD) were assessed by dual-energy X-ray absorptiometry.ResultsA cluster analysis of lean mass and fat mass index z scores resulted in a classification of a five-category cluster solution that could be interpreted according to the body composition phenotypes of individuals as follows: high adiposity-high lean mass (n = 98), average adiposity-high lean mass (n = 113), high adiposity-average lean mass (n = 213), low adiposity-average lean mass (n = 142), and average adiposity-low lean mass (n = 153). ANCOVA models showed that individuals in clusters with a higher lean mass had significantly better bone health (z score: 0.764, se: 0.090) than their peers in other cluster categories (z score: −0.529, se: 0.074) after controlling for sex, age, and cardiorespiratory fitness (p < 0.05). Additionally, subjects belonging to the categories with a similar average lean mass index but with high or low-adiposity levels (z score: 0.289, se: 0.111; z score: 0.086, se: 0.076) showed better bone outcomes when the fat mass index was higher (p < 0.05).ConclusionsThis study confirms the validity of a body composition model using a cluster analysis to classify young adults according to their lean mass and fat mass indices. In addition, this model reinforces the main role of lean mass on bone health in this population and that in phenotypes with high-average lean mass, factors associated with fat mass may also have a positive effect on bone status.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
JamesPei应助学术混子采纳,获得10
4秒前
16秒前
yangg完成签到,获得积分10
17秒前
学术混子发布了新的文献求助10
21秒前
走啊走完成签到,获得积分10
30秒前
36秒前
水水的发布了新的文献求助10
43秒前
懒惰扼杀激情完成签到 ,获得积分10
46秒前
1分钟前
共析钢发布了新的文献求助10
1分钟前
忘忧Aquarius完成签到,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
1分钟前
研友_VZG7GZ应助学术混子采纳,获得10
1分钟前
科研通AI6应助路纹婷采纳,获得10
1分钟前
1分钟前
量子星尘发布了新的文献求助10
1分钟前
学术混子发布了新的文献求助10
2分钟前
shanshan__完成签到,获得积分10
2分钟前
开心的瘦子完成签到,获得积分10
2分钟前
斯文败类应助学术混子采纳,获得10
2分钟前
2分钟前
3分钟前
3分钟前
学术混子发布了新的文献求助10
3分钟前
猪猪hero应助朗源Wu采纳,获得10
3分钟前
科研通AI2S应助科研通管家采纳,获得10
3分钟前
打打应助科研通管家采纳,获得10
3分钟前
3分钟前
英俊的铭应助科研通管家采纳,获得10
3分钟前
huhdcid发布了新的文献求助30
3分钟前
3分钟前
4分钟前
Hello应助阿巴巴巴吧采纳,获得10
4分钟前
研友_西门孤晴完成签到,获得积分10
4分钟前
4分钟前
徐蹇发布了新的文献求助10
4分钟前
4分钟前
徐蹇完成签到,获得积分10
4分钟前
晚星完成签到 ,获得积分10
5分钟前
高分求助中
Aerospace Standards Index - 2025 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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
Teaching Language in Context (Third Edition) 1000
List of 1,091 Public Pension Profiles by Region 961
流动的新传统主义与新生代农民工的劳动力再生产模式变迁 500
Historical Dictionary of British Intelligence (2014 / 2nd EDITION!) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5449972
求助须知:如何正确求助?哪些是违规求助? 4557905
关于积分的说明 14265167
捐赠科研通 4481187
什么是DOI,文献DOI怎么找? 2454720
邀请新用户注册赠送积分活动 1445488
关于科研通互助平台的介绍 1421363