Aslam Muhammad, Eckhauser Aaron W, Dorminy Cindy A, Dossett Cynthia M, Choi Leena, Buchowski Maciej S
Department of Medicine, Vanderbilt University Medical Center, 21st Ave. South, Nashville, TN 37232.
Obes Res Clin Pract. 2009 Nov 1;3(4):209. doi: 10.1016/j.orcp.2009.03.005.
BACKGROUND/OBJECTIVES: Monitoring changes in total fat mass and abdominal adiposity are important in understanding the impact of different types of weight loss interventions on health risks. Our objective was to assess the usefulness of anthropometry and bioelectrical impedance analysis (BIA) in predicting fat mass changes during moderate weight loss. SUBJECTS/METHODS: Fat mass changes were assessed in 34 overweight adults (24 females, 10 males) after a 12-week supervised weight loss induced by caloric restriction (-30% of requirement) using BIA and DXA. Agreement between BIA and DXA measurements were assessed by Bland-Altman plots. Linear regression modeling was used to predict body and truncal fat mass from anthropometric measures. RESULTS: Diet intervention resulted in a significant decrease in body weight (- 7.86 ± 2.87 kg), body mass index (BMI - 2.69 ± 0.98 kg/m(2)), total body fat (- 5.22 ± 2.32 kg), truncal fat (- 2.80 ± 1.94 kg) and waist circumference (- 5.52 ± 3.57 cm). BMI and body weight were highly correlated with body fat (0.83 and 0.92 in females and 0.94 and 0.92 in males respectively) and truncal fat (0.75 and 0.87 in females; 0.90 and 0.84 in males respectively) during weight loss. Waist circumference was more correlated with truncal fat in males than females (0.94 vs. 0.85 in females). Compared to DXA, BIA underestimated total body fat changes in males (- 8.8 kg, p<0.001) and overestimated total body fat changes in females (+ 2.1 kg, p< 0.001). CONCLUSIONS: Body mass index, body weight, and waist circumference provide simple and more accurate than BIA estimates of relative changes in total and truncal fat during moderate weight loss in adults.
背景/目的：监测总体脂肪量和腹部肥胖的变化对于理解不同类型的体重减轻干预措施对健康风险的影响至关重要。我们的目的是评估人体测量学和生物电阻抗分析（BIA）在预测适度体重减轻期间脂肪量变化方面的有用性。
受试者/方法：对34名超重成年人（24名女性，10名男性）进行了研究，这些受试者在为期12周的热量限制（-30%的需求量）监督下的体重减轻后，使用BIA和双能X线吸收法（DXA）评估脂肪量变化。通过Bland-Altman图评估BIA和DXA测量结果之间的一致性。使用线性回归模型从人体测量指标预测身体和躯干脂肪量。
饮食干预导致体重显著下降（-7.86±2.87千克）、体重指数（BMI -2.69±0.98千克/平方米）、全身脂肪（-5.22±2.32千克）、躯干脂肪（-2.80±1.94千克）和腰围（-5.52±3.57厘米）。在体重减轻期间，BMI和体重与女性的身体脂肪（分别为0.83和0.92）以及男性的身体脂肪（分别为0.94和0.92）和躯干脂肪（女性分别为0.75和0.87；男性分别为0.90和0.84）高度相关。男性的腰围与躯干脂肪的相关性高于女性（女性为0.85，男性为0.94）。与DXA相比，BIA低估了男性的全身脂肪变化（-8.8千克，p<0.001），高估了女性的全身脂肪变化（+2.1千克，p<0.001）。
在成年人适度体重减轻期间，体重指数、体重和腰围提供了比BIA估计更简单且更准确的总体和躯干脂肪相对变化情况。
