Valente-Dos-Santos João, Coelho-E-Silva Manuel J, Ferraz António, Castanheira Joaquim, Ronque Enio R, Sherar Lauren B, Elferink-Gemser Marije T, Malina Robert M
Faculty of Sport Sciences and Physical Education, University of Coimbra , Coimbra , Portugal .
Ann Hum Biol. 2014 Sep-Oct;41(5):465-8. doi: 10.3109/03014460.2013.866694. Epub 2014 Jan 7.
Normalizing left ventricular mass (LVM) for inter-individual variation in body size is a central issue in human biology. During the adolescent growth spurt, variability in body size descriptors needs to be interpreted in combination with biological maturation.
To examine the contribution of biological maturation, stature, sitting height, body mass, fat-free mass (FFM) and fat mass (FM) to inter-individual variability in LVM in boys, using proportional allometric modelling.
The cross-sectional sample included 110 boys of 11-15 years (12.9-1.0 years). Stature, sitting height, body mass, cardiac chamber dimensions and LVM were measured. Age at peak height velocity (APHV) was predicted and used as an indicator of biological maturation. Percentage fat was estimated from triceps and subscapular skinfolds; FM and FFM were derived.
Exponents for body size descriptors were k = 2.33 for stature, k = 2.18 for sitting height, k = 0.68 for body mass, k = 0.17 for FM and k = 0.80 for FFM (adjusted R(2 )= 19-62%). The combination of body descriptors and APHV increased the explained variance in LVM (adjusted R(2)( )= 56-69%).
Stature, FM and FFM are the best combination for normalizing LVM in adolescent boys; when body composition is not available, an indicator of biological maturity should be included with stature.
针对个体间身体大小差异对左心室质量(LVM)进行标准化是人类生物学中的核心问题。在青春期生长突增期间,身体大小描述指标的变异性需要结合生物成熟度来解读。
采用比例异速生长模型,研究生物成熟度、身高、坐高、体重、去脂体重(FFM)和脂肪量(FM)对男孩LVM个体间变异性的影响。
横断面样本包括110名11 - 15岁(平均12.9±1.0岁)的男孩。测量身高、坐高、体重、心腔尺寸和LVM。预测身高增长峰值速度时的年龄(APHV)并将其用作生物成熟度的指标。通过肱三头肌和肩胛下皮褶厚度估算体脂百分比;由此得出FM和FFM。
身体大小描述指标的指数分别为:身高k = 2.33,坐高k = 2.18,体重k = 0.68,FM k = 0.17,FFM k = 0.80(调整后R² = 19 - 62%)。身体描述指标与APHV的组合增加了LVM的可解释方差(调整后R² = 56 - 69%)。
身高、FM和FFM是对青春期男孩LVM进行标准化的最佳组合;当无法获取身体成分数据时,应将生物成熟度指标与身高一起纳入考量。