A population-based approach to define body-composition phenotypes
A population-based approach to define body-composition phenotypes
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DOI：
10.3945/ajcn.113.078576
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发表时间：
2014-06-01
影响因子：
7.1
通讯作者：
Katzmarzyk, Peter T.
中科院分区：
文献类型：
--
作者：
Prado, Carla M. M.;Siervo, Mario;Katzmarzyk, Peter T.
背景资料：异常的身体组成，如高脂肪（HA），低肌肉质量（LM），或两者的组合[高脂肪与低肌肉质量（HA-LM）]是相关的表型，但其患病率和对健康的影响的数据仍然有限。这在很大程度上是因为缺乏对这些条件的共识定义。特别令人感兴趣的是HA-LM表型，也被称为“肌肉减少性肥胖”，这可能会带来更大的健康风险。Objective：我们提出了一种新的方法，用于操作异常的身体组成表型在一个有代表性的成年population.Design：全身双能X射线吸收测量数据从1999-2004年NHANES进行了分析，为13,236名年龄。>= 18 y（最大体重和身高分别为136 kg和1.96 m）。建立了性别和体重指数（BMI）特异性的非典型骨骼肌指数（ASMI; kg/m2）和脂肪质量指数（FMI; kg/m2）的十分位组。HA和LM的截止值被纳入诊断框架，以表征4个特定的身体组成表型低脂肪与高肌肉质量，高脂肪与高肌肉质量，低脂肪与低肌肉质量，和HA-LM和亚分类的表型到I类，II类和III。结果：异常表型普遍存在于年龄谱和BMI类别。ASMI或FMI与年龄之间的关联受性别和BMI的影响。HA-LM在整个样本中的患病率在女性中为10.3%，在男性中为15.2%。肥胖女性和男性HA-LM各亚型的患病率分别为14.7%和22.9%。HA：LM III级肥胖男性（2.3%）比肥胖女性（0.3%）更普遍。结论：我们制定了性别和BMI特异性参考曲线，以协调身体组成表型的分类。这种分类的应用将是特别有用的，在确定的情况下，肌肉减少性肥胖症。这些表型与代谢失调和疾病风险增加的关联有待验证。
Background: 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.Objective: We propose a new approach for operationalizing abnormal body-composition phenotypes in a representative adult population.Design: 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/m(2)) 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.Results: 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%).Conclusions: 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.