Goran M I, Gower B A, Treuth M, Nagy T R
Department of Nutrition Sciences, University of Alabama at Birmingham, 35294, USA.
Int J Obes Relat Metab Disord. 1998 Jun;22(6):549-58. doi: 10.1038/sj.ijo.0800624.
To examine the relationship of intra-abdominal adipose tissue (IAAT) and subcutaneous abdominal adipose tissue (SAAT) with body composition and anthropometry in children.
Cross-sectional data analysis.
113 healty Caucasian and African-American, pre-pubertal children aged 4-10 y.
IAAT and SAAT by single slice computed tomography at the level of the umbilicus; total fat and trunk fat by dual energy X-ray absorptiometry (DEXA); anthropometric evaluation by skinfolds and circumferences.
IAAT was most strongly correlated with abdominal skinfold (r = 0.88) and trunk fat by DEXA (r = 0.87), and SAAT with trunk fat by DEXA (r = 0.96), total fat by DEXA (r = 0.93) and waist circumference (r = 0.93). In stepwise regression, IAAT was best predicted by trunk fat from DEXA, total fat from DEXA, and abdominal skinfold (R2 = 0.85); SAAT was best predicted by trunk fat from DEXA, body weight, waist circumference and abdominal skinfold (R2 = 0.96). In the absence of DEXA data, IAAT was best predicted by abdominal skinfold, ethnicity and subscapular skinfold (R2 = 0.82) and SAAT was best predicted by waist circumference subscapular skinfold, height and abdominal skinfold (R2=0.92). The prediction equations with and without DEXA were successfully cross-validated in an independent sample of 12 additional measures of IAAT and SAAT.
These data provide useful information that can help in the interpretation of anthropometric data with regard to body fat distribution. IAAT and SAAT can be accurately estimated in Caucasian and African-American prepubertal children from anthropometry with and without the availability of DEXA data.
研究儿童腹腔内脂肪组织(IAAT)和腹部皮下脂肪组织(SAAT)与身体成分及人体测量学指标之间的关系。
横断面数据分析。
113名4 - 10岁健康的白种人和非裔美国青春期前儿童。
通过脐水平的单层计算机断层扫描测量IAAT和SAAT;采用双能X线吸收法(DEXA)测量总脂肪量和躯干脂肪量;通过皮褶厚度和周长进行人体测量学评估。
IAAT与腹部皮褶厚度(r = 0.88)以及DEXA测量的躯干脂肪量(r = 0.87)相关性最强,SAAT与DEXA测量的躯干脂肪量(r = 0.96)、DEXA测量的总脂肪量(r = 0.93)以及腰围(r = 0.93)相关性最强。在逐步回归分析中,IAAT的最佳预测指标为DEXA测量的躯干脂肪量、DEXA测量的总脂肪量和腹部皮褶厚度(R2 = 0.85);SAAT的最佳预测指标为DEXA测量的躯干脂肪量、体重、腰围和腹部皮褶厚度(R2 = 0.96)。在没有DEXA数据的情况下,IAAT的最佳预测指标为腹部皮褶厚度、种族和肩胛下皮褶厚度(R2 = 0.82),SAAT的最佳预测指标为腰围、肩胛下皮褶厚度、身高和腹部皮褶厚度(R2 = 0.92)。含有和不含有DEXA数据的预测方程在另外12例IAAT和SAAT测量的独立样本中成功进行了交叉验证。
这些数据提供了有用信息,有助于解释与体脂分布相关的人体测量学数据。无论有无DEXA数据,通过人体测量学方法均可准确估算白种人和非裔美国青春期前儿童的IAAT和SAAT。