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目的:研究成年人去脂组织重(fat-freemass,FFM)与身高之间的关系,并建立预测FFM的简单方程。方法:对955名健康成年人进行人体测量和生物电阻抗测量,按BMI分为肥胖组和非肥胖组,按年龄分别45岁以下组和45岁以上组,分析FFM与年龄和肥胖的关系。根据FFM是身高的异速生长指数的模型关系,进行非线性回归,建立指数曲线回归方程。结果:18～45岁健康成年人的身高为(1.65±0.07)m,体质量为(62.03±10.69)kg,体脂质量(11.28±6.75)kg,体脂含量(17.91±8.67)%,去脂组织含量(82.02±8.87)%,BMI(22.85±2.99)kg/m2,而46～74岁健康成年人的相应指标为(1.62±0.08)m,体质量为(66.08±10.21)kg,体脂质量(14.56±6.44)kg,体脂含量(22.09±9.23)%,去脂组织含量(77.58±10.07)%,BMI(25.19±2.95)kg/m2,差异有显著性意义(P<0.05);18～45岁与46～74岁的健康人的FFM分别为(50.93±10.23),(51.53±10.07)kg,差异无显著性意义(P>0.05);健康成年人的FFM并不随年龄增加;非肥胖组与肥胖组的FFM也是相对不变的。预测男性FFM的适宜方程为:FFM(kg)=24.98×身高1.68,预测女性FFM的适宜方程为:FFM(kg)=22.84×身高1.42。结论:以身高为变量能估计出正常成年人FFM的近似值。
OBJECTIVE: To study the relationship between adult fat-free mass (FFM) and height and to establish a simple equation for predicting FFM. Methods: The 955 healthy adults were measured by human body and bioelectrical impedance. According to BMI, obese group and non-obese group were divided into groups of 45 years old and younger than 45 years old. The relationship between FFM and age and obesity was analyzed. According to the model of FFM, the model of allometric growth index, nonlinear regression was carried out to establish exponential curve regression equation. Results: The height of healthy adults aged 18-45 years old was (1.65 ± 0.07) m, the body weight was (62.03 ± 10.69) kg, body fat mass was (11.28 ± 6.75) kg, body fat content was (17.91 ± 8.67) (82.02 ± 8.87)% and BMI (22.85 ± 2.99) kg / m2, respectively, while the corresponding index for healthy adults aged 46-74 years was (1.62 ± 0.08) m and the body weight was (66.08 ± 10.21) kg There was significant difference between the two groups (P <0.05). The lipid content (14.56 ± 6.44) kg, body fat content (22.09 ± 9.23)%, defatted tissue content (77.58 ± 10.07)% and BMI (25.19 ± 2.95) ; FFM of healthy people between 18-45 years and 46-74 years old were (50.93 ± 10.23) and (51.53 ± 10.07) kg respectively, with no significant difference (P> 0.05); FFM of healthy adults did not increase with age FFM in non-obese and obese groups was also relatively unchanged. The suitable equation for predicting male FFM is FFM (kg) = 24.98 × height 1.68. The suitable equation for predicting female FFM is FFM (kg) = 22.84 × height 1.42. CONCLUSIONS: Using height as a variable, an approximation of FFM for normal adults can be estimated.