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 [Elsevier BV]
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
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
菠萝炒饭应助lxy采纳,获得10
刚刚
cxh完成签到,获得积分20
1秒前
33完成签到,获得积分20
1秒前
奋斗的土豆完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
5秒前
chenming发布了新的文献求助10
5秒前
Apricot完成签到,获得积分10
6秒前
Wu完成签到 ,获得积分10
6秒前
鸭鸭发布了新的文献求助10
7秒前
飘零枫叶发布了新的文献求助10
7秒前
7秒前
XIAO完成签到,获得积分10
7秒前
8秒前
CodeCraft应助Souliko采纳,获得10
9秒前
wanci应助qinchuanniu采纳,获得10
9秒前
9秒前
effort发布了新的文献求助10
10秒前
sunaq发布了新的文献求助10
10秒前
11秒前
12秒前
打打应助顺利紫山采纳,获得10
12秒前
bofu完成签到,获得积分10
14秒前
mouxq发布了新的文献求助10
15秒前
害羞的冷雪完成签到,获得积分10
15秒前
NexusExplorer应助Slyvia2025采纳,获得10
15秒前
裴仰纳完成签到 ,获得积分10
16秒前
高雯发布了新的文献求助10
16秒前
菠萝炒饭应助lxy采纳,获得10
16秒前
Coffey完成签到 ,获得积分10
17秒前
17秒前
saseme完成签到 ,获得积分20
17秒前
DamenS发布了新的文献求助10
17秒前
18秒前
小熊炸毛发布了新的文献求助10
18秒前
木子发布了新的文献求助30
19秒前
dushicheng完成签到,获得积分10
19秒前
Lucas应助脆啵啵马克宝采纳,获得10
20秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
A new approach to the extrapolation of accelerated life test data 500
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3954228
求助须知:如何正确求助?哪些是违规求助? 3500273
关于积分的说明 11098748
捐赠科研通 3230782
什么是DOI,文献DOI怎么找? 1786143
邀请新用户注册赠送积分活动 869824
科研通“疑难数据库(出版商)”最低求助积分说明 801638