Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat
Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat
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DOI：
10.1093/ajcn/75.4.683
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发表时间：
2002-04-01
影响因子：
7.1
通讯作者：
Ross, R
中科院分区：
文献类型：
--
作者：
Janssen, I;Heymsfield, SB;Ross, R
背景资料：目前还不清楚腰围（WC）预测健康风险的能力是否超出了体重指数（BMI）单独预测的能力，部分原因是WC识别总脂肪或腹部脂肪浓度升高的人的能力。目的：我们试图确定BMI和WC是否独立地有助于预测非腹部肿瘤的发生。（总脂肪-腹部脂肪）、腹部皮下和内脏脂肪。设计：通过磁共振成像测量341名白色男性和女性的脂肪分布。进行多元回归分析，以衡量BMI和WC的组合是否比BMI或WC单独解释了非腹部，腹部皮下和内脏脂肪的更大差异。这些脂肪库也进行了比较后，细分的队列为3体重指数（正常、超重和I级肥胖）和3 WC根据用于识别BMI、WC和健康风险之间的关联的分类系统，将BMI、WC和健康风险分为低、中、高三类。独立于年龄和性别，BMI和WC的组合解释了非腹部，腹部皮下，和内脏脂肪的含量均显著高于BMI和WC（P < 0.05）。对于非腹部和腹部皮下脂肪，BMI是最强的相关性;因此，通过将BMI添加到WC，累积的方差大于WC添加到BMI时的方差。然而，当WC添加到BMI时，内脏脂肪解释的增加的方差大于BMI添加到WC时。此外，在研究的3个BMI类别中，WC类别的增加与内脏脂肪的增加相关（P < 0.05）。结论：BMI和WC独立地有助于预测白色男性和女性的非腹部、腹部皮下和内脏脂肪。这些观察结果加强了在临床实践中使用BMI和WC的重要性。
Background: It is unknown whether the ability of waist circumference (WC) to predict health risk beyond that predicted by body mass index (BMI) alone is explained in part by the ability of WC to identify those with elevated concentrations of total or abdominal fat.Objective: We sought to determine whether BMI and WC independently contribute to the prediction of nonabdominal (total fat - abdominal fat), abdominal subcutaneous, and visceral fat.Design: Fat distribution was measured by magnetic resonance imaging in 341 white men and women. Multiple regression analysis was performed to measure whether the combination of BMI and WC explained a greater variance in nonabdominal, abdominal subcutaneous, and visceral fat than did BMI or WC alone. These fat depots were also compared after a subdivision of the cohort into 3 BMI (normal, overweight, and class I obese) and 3 WC (low, intermediate, and high) categories according to the classification system used to identify associations between BMI, WC, and health risk.Results: Independent of age and sex, the combination of BMI and WC explained a greater variance in nonabdominal, abdominal subcutaneous, and visceral fat than did either BMI or WC alone (P < 0.05). For nonabdominal and abdominal subcutaneous fat, BMI was the strongest correlate; thus, by adding BMI to WC, the variance accrued was greater than when WC was added to BMI. However, when WC was added to BMI, the added variance explained for visceral fat was greater than when BMI was added to WC. Furthermore, within each of the 3 BMI categories studied, an increase in the WC category was associated with an increase in visceral fat (P < 0.05).Conclusions: BMI and WC independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat in white men and women. These observations reinforce the importance of using both BMI and WC in clinical practice.