Sudi K, Jürimäe J, Payerl D, Pihl E, Möller R, Tafeit E, Jürimäe T
Institute of Sport Pedagogy, Faculty of Exercise and Sport Sciences, University of Tartu, Estonia.
Med Sci Sports Exerc. 2001 Aug;33(8):1324-9. doi: 10.1097/00005768-200108000-00013.
Circulating leptin is low in trained subjects and closely related to body fat content. However, data are scarce as to whether differences exist in the relationship between different estimates of adiposity, metabolic parameters, and leptin in endurance- and resistance-trained male athletes. We investigated this relationship with special emphasis on subcutaneous fatness and its distribution.
20 endurance (ET) and 17 resistance (RT) athletes recruited from different kind of sports were studied. Fat-free mass (FFM) was estimated by means of impedance and fat mass (FM) was calculated. Subcutaneous fat (SAT) and its distribution was measured by means of the optical device Lipometer at 15 body sites (SAT-layers; from 1-neck to 15-calf) on the right side of the body. Fifteen SAT-layers were summed to calculate SAT. Blood samples were obtained for determination for leptin, insulin, and glucose. Insulin resistance was calculated through the fasting insulin resistance index (FIRI; [insulin x glucose/25]).
RT-athletes had a greater body mass and body fat content than ET-athletes, but no differences were found for leptin and metabolic parameters. In all athletes, estimates of adiposity were correlated to leptin. However, in ET-athletes FM (P < 0.05), FFM (P < 0.05), and SAT (P < 0.001) but not metabolic parameters were correlated to leptin. In RT-athletes, SAT (P < 0.0001), metabolic parameters (all P < 0.05), but not FM and FFM were in significant relationship with leptin. Stepwise regression revealed SAT as the main determinant for the variation in leptin in all athletes (adj. R(2 )= 0.52, P < 0.0001).
The results suggest that estimates of adiposity and metabolic parameters are associated with leptin in a sport-specific manner. Whereas leptin might be regulated by overall subcutaneous fatness in athletes, our study does not imply a main influence of fat patterning on leptin in this group of trained subjects.
训练有素的受试者循环瘦素水平较低,且与体脂含量密切相关。然而,关于耐力训练和抗阻训练的男性运动员在不同体脂率估计值、代谢参数和瘦素之间的关系是否存在差异,数据尚少。我们特别关注皮下脂肪及其分布情况,对这种关系进行了研究。
研究对象为从不同运动项目招募的20名耐力运动员(ET)和17名抗阻运动员(RT)。通过阻抗法估算去脂体重(FFM)并计算脂肪量(FM)。利用光学设备Lipometer在身体右侧15个部位(SAT层;从1-颈部到15-小腿)测量皮下脂肪(SAT)及其分布情况。将15个SAT层相加计算SAT。采集血样测定瘦素、胰岛素和葡萄糖。通过空腹胰岛素抵抗指数(FIRI;[胰岛素×葡萄糖/25])计算胰岛素抵抗。
RT运动员的体重和体脂含量高于ET运动员,但瘦素和代谢参数无差异。在所有运动员中,体脂率估计值与瘦素相关。然而,在ET运动员中,FM(P<0.05)、FFM(P<0.05)和SAT(P<0.001)与瘦素相关,而代谢参数与瘦素无关。在RT运动员中,SAT(P<0.0001)、代谢参数(均P<0.05)与瘦素呈显著关系,而FM和FFM与瘦素无关。逐步回归分析显示,SAT是所有运动员瘦素变化的主要决定因素(调整R²=0.52,P<0.0001)。
结果表明,体脂率估计值和代谢参数与瘦素的关系具有运动项目特异性。虽然运动员的瘦素可能受整体皮下脂肪调节,但我们的研究并不意味着脂肪分布模式对这组训练有素的受试者的瘦素有主要影响。