Amara C E, Koval J J, Johnson P J, Paterson D H, Winter E M, Cunningham D A
School of Kinesiology, University of Western Ontario, London, Canada.
Exp Physiol. 2000 Nov;85(6):877-86.
The purpose of this study was to use an allometric model (maximal oxygen uptake (VO2,max) = FFMbeta1 x PAbeta2 x exp(beta0 + beta3 age + beta4 sex) x epsilon) to determine the influence of fat-free mass (FFM), physical activity (PA), sex and age on VO2,max in older men (n = 152) and women (n = 146) aged 55-86 years. VO2,max was measured during a fatigue-limited treadmill test, FFM was determined from skinfold thickness and physical activity by the Minnesota Leisure Time Physical Activity questionnaire. The model was linearised by taking the natural logarithm of VO2,max, FFM and physical activity. Variables were selected using multiple linear regression (P < 0.05). The sex variable was not significant (P = 0.062). The model explained 72.1% of the variance in VO2,max. Significant individual coefficients were incorporated into the model yielding the following expression: VO2,max = FFM0.971 x PA0.026 x exp(-2.48-0.015age). Therefore, FFM and physical activity were significant factors contributing to the changes in VO2,max with age. In addition, controlling for FFM and physical activity abolished sex differences in VO2,max. The rate of decline in VO2,max (after accounting for FFM and physical activity) with age, was approximately 15% per decade.
本研究的目的是使用一种异速生长模型(最大摄氧量(VO2,max)= 去脂体重β1 × 体力活动β2 × exp(β0 + β3年龄 + β4性别) × ε)来确定去脂体重(FFM)、体力活动(PA)、性别和年龄对55至86岁老年男性(n = 152)和女性(n = 146)VO2,max的影响。VO2,max在疲劳受限的跑步机测试中进行测量,FFM通过皮褶厚度测定,体力活动通过明尼苏达休闲时间体力活动问卷进行评估。通过对VO2,max、FFM和体力活动取自然对数使模型线性化。使用多元线性回归(P < 0.05)选择变量。性别变量不显著(P = 0.062)。该模型解释了VO2,max中72.1%的方差。将显著的个体系数纳入模型得到以下表达式:VO2,max = FFM0.971 × PA0.026 × exp(-2.48 - 0.015年龄)。因此,FFM和体力活动是导致VO2,max随年龄变化的重要因素。此外,在控制FFM和体力活动后,VO2,max的性别差异消失。(在考虑FFM和体力活动后)VO2,max随年龄的下降速率约为每十年15%。