A population-based approach to define body-composition phenotypes

体质指数 医学 全国健康与营养检查调查 肥胖 肌萎缩 肌萎缩性肥胖 人口 内科学 表型 肌肉团 十分位 生理学 内分泌学 生物 遗传学 环境卫生 统计 基因 数学
作者
Prado Cm,Mario Siervo,Emily F. Mire,Steven B. Heymsfield,Blossom C M Stephan,Stephanie T. Broyles,Steven R. Smith,Jonathan C. K. Wells,Peter T. Katzmarzyk
出处
期刊:The American Journal of Clinical Nutrition [Oxford University Press]
卷期号:99 (6): 1369-1377 被引量:125
标识
DOI:10.3945/ajcn.113.078576
摘要

Abnormal body compositions such as high adiposity (HA), low muscle mass (LM), or a combination of the 2 [high adiposity with low muscle mass (HA-LM)] are relevant phenotypes, but data on their prevalence and impact on health are still limited. This is largely because of a lack of a consensus definition for these conditions. Of particular interest is the HA-LM phenotype, also termed “sarcopenic obesity,” which may confer greater health risk. We propose a new approach for operationalizing abnormal body-composition phenotypes in a representative adult population. Whole-body dual-energy X-ray absorptiometry data obtained from the 1999–2004 NHANES were analyzed for 13,236 subjects aged ≥18 y (maximum weight and height of 136 kg and 1.96 m, respectively). Sex- and body mass index (BMI)–specific decile groups of appendicular skeletal muscle index (ASMI; kg/m2) and fat mass index (FMI; kg/m2) were developed. Cutoffs for HA and LM were incorporated into a diagnostic framework to characterize 4 specific body-composition phenotypes—low adiposity with high muscle mass, high adiposity with high muscle mass, low adiposity with low muscle mass, and HA-LM—and a subclassification of the phenotypes into classes I, II, and III. Abnormal phenotypes were prevalent across the age spectrum and BMI categories. The association between ASMI or FMI and age was modified by sex and BMI. The prevalence of HA-LM in the whole sample was 10.3% in women and 15.2% in men. The prevalence of all subclasses of HA-LM in obese women and men was 14.7% and 22.9%, respectively. HA-LM class III was more prevalent in obese men (2.3%) than in obese women (0.3%). We developed sex- and BMI-specific reference curves to harmonize the classification of body-composition phenotypes. The application of this classification will be particularly useful in the identification of cases of sarcopenic obesity. The association of these phenotypes with metabolic deregulation and increased disease risk awaits verification.
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
刚刚
WUJIAYU完成签到 ,获得积分10
1秒前
小蘑菇应助小汤圆采纳,获得10
2秒前
认真的小熊饼干完成签到,获得积分10
2秒前
Grayball应助蒙开心采纳,获得10
2秒前
2秒前
真开心完成签到,获得积分10
2秒前
Ava应助点点采纳,获得10
2秒前
Seldomyg完成签到 ,获得积分10
3秒前
鲸是海蓝色关注了科研通微信公众号
3秒前
南亭完成签到,获得积分10
3秒前
Orange应助o10采纳,获得10
4秒前
4秒前
4秒前
小王发布了新的文献求助10
5秒前
初吻还在完成签到,获得积分10
6秒前
MADKAI发布了新的文献求助10
6秒前
Asss完成签到,获得积分10
6秒前
6秒前
时光友岸完成签到,获得积分10
7秒前
8秒前
昭昭完成签到,获得积分10
8秒前
niu1完成签到,获得积分10
9秒前
铃兰完成签到,获得积分10
9秒前
尘尘完成签到,获得积分10
9秒前
10秒前
yan完成签到,获得积分20
10秒前
10秒前
小鹿斑比完成签到 ,获得积分10
11秒前
洛洛完成签到 ,获得积分10
11秒前
浮华乱世完成签到 ,获得积分10
11秒前
otaro完成签到,获得积分10
11秒前
万能图书馆应助zsqqqqq采纳,获得10
11秒前
领导范儿应助zhonghbush采纳,获得10
12秒前
reck发布了新的文献求助10
12秒前
舒服的鱼完成签到 ,获得积分10
12秒前
12秒前
WLL完成签到,获得积分10
12秒前
12秒前
罗mian发布了新的文献求助10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527304
求助须知:如何正确求助?哪些是违规求助? 3107454
关于积分的说明 9285518
捐赠科研通 2805269
什么是DOI,文献DOI怎么找? 1539827
邀请新用户注册赠送积分活动 716708
科研通“疑难数据库(出版商)”最低求助积分说明 709672