Anthropometrically-predicted visceral adipose tissue and mortality among men and women in the third national health and nutrition examination survey (NHANES III).
Anthropometrically-predicted visceral adipose tissue and mortality among men and women in the third national health and nutrition examination survey (NHANES III).
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DOI：
10.1002/ajhb.22898
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发表时间：
2017-01
期刊：
影响因子：
--
通讯作者：
Harhay MN
中科院分区：
文献类型：
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作者：
Brown JC;Harhay MO;Harhay MN
在一项基于人群的前瞻性队列研究中，这项研究试图量化欧洲人后裔中人体测量预测的内脏脂肪组织(ApVAT)与全原因和原因特定死亡率之间的关系，研究对象为10,624名参与者。我们用包括年龄、体重指数、腰围和大腿围在内的经验证的回归方程预测了apVAT。在中位数18.8年期间，3531名参与者死亡，其中1153人和741人分别死于心血管疾病和癌症。在考虑人口统计学、临床和行为特征的多变量调整分析中，较高的平均增值税与全因风险(P趋势=0.001)、心血管风险(P趋势和0.001)以及癌症特定死亡率(P趋势=0.007)相关。排除基线时有癌症、心肌梗死、心力衰竭或糖尿病病史的受试者并没有实质性地改变疗效估计。与体重指数(P<；0.001)、腰围(P<；0.001)或体重指数和腰围的组合(P<；0.001)相比，apVAT更准确地预测各种原因、心血管疾病和癌症的死亡率。这些数据提供了证据，证明在大量以人口为基础的欧洲裔男性和女性样本中，增值税与所有原因和特定原因的死亡率有关。这些结果支持在常规临床实践或大型临床试验中，当成像数据不可用时，使用apVAT对过早死亡的个体进行风险分层。
This study seeks to quantify the relationship between anthropometrically-predicted visceral adipose tissue (apVAT) and all-cause and cause-specific mortality among individuals of European descent in a population-based prospective cohort study of 10,624 participants. We predicted apVAT with a validated regression equation that included age, body mass index, and waist and thigh circumferences. During a median of 18.8 years, 3,531 participants died with 1,153 and 741 deaths attributable to cardiovascular disease and cancer, respectively. In multivariable-adjusted analyses that accounted for demographic, clinical, and behavioral characteristics, higher apVAT was associated with an increased risk of all-cause (Ptrend<0.001), cardiovascular-specific (Ptrend<0.001), and cancer-specific mortality (Ptrend=0.007). Excluding participants with a history of cancer, myocardial infarction, heart failure, or diabetes at baseline did not substantively alter effect estimates. apVAT more accurately predicted all-cause, cardiovascular-specific, and cancer-specific mortality than body mass index (P<0.001), waist circumference (P<0.001), or the combination of body mass index and waist circumference (P<0.001). These data provide evidence that apVAT is associated with all-cause and cause-specific mortality in a large population-based sample of men and women of European descent. These results support the use of apVAT to risk-stratify individuals for premature mortality when imaging data are not available such as in routine clinical practice or in large clinical trials.