J Acad Nutr Diet. 2018 Jul;118(7):1263-1269. doi: 10.1016/j.jand.2018.02.019. Epub 2018 May 8.
Adiposity is an independent predictor of metabolic disease. However, highly accurate body fat assessment is not routinely done due to limited access to expensive and labor-intensive methods.
The aim of the study was to develop body fat prediction equations for Asian-Chinese adults using easily attainable anthropometric measurements.
Prediction equations of body fat were developed using anthropometric and skinfold thickness measurements obtained from a cross-sectional study. These new equations were then validated using baseline data from an independent randomized controlled study.
PARTICIPANTS/SETTING: Healthy participants with no major diseases and not taking long-term medications were recruited in an ongoing cross-sectional study that began in June 2014 (n=439, 170 males, 269 females), as well as a randomized controlled trial (n=108, 58 males, 50 females) conducted from January 2013 to October 2014. Both the studies were conducted at Clinical Nutrition Research Center located in Singapore.
Data used to develop and validate equations were from two original studies that assessed body fat by dual-energy x-ray absorptiometry, age, waist circumference, height, and biceps and triceps skinfolds.
Sex-specific percent body fat prediction equations were developed using stepwise regression with Akaike Information Criterion on the cross-sectional data. The equations were then validated using data from the randomized controlled study and also compared against Asian-specific Davidson equations.
The best body fat prediction model (R=0.722, standard error of estimation=2.97 for females; R=0.815, standard error of estimation=2.49 for males) for both sexes included biceps and triceps skinfolds, waist circumference, age, and height. The new equations developed resulted in modest discrepancies in body fat of 1.8%±2.7% in males (P<0.001) and 0.7%±3.1% in females (P=0.125; not significant) compared with the Asian-specific Davidson equations (-7.4%±3.2% [P<0.001] and -7.4%±2.7% [P<0.001], respectively).
Sex-specific equations to predict the percent body fat of Asian-Chinese adults with a higher degree of accuracy were developed. Ease of use in both field and clinical settings will be a major advantage.
肥胖是代谢性疾病的独立预测因子。然而，由于昂贵且耗时的方法有限，因此无法常规进行高精度的体脂评估。
本研究旨在使用易于获得的人体测量学指标，为亚洲华人成年人制定体脂预测方程。
使用横断面研究中获得的人体测量学和皮褶厚度测量值，制定体脂预测方程。然后，使用独立的随机对照研究的基线数据对这些新方程进行验证。
参与者/设置：无重大疾病且未长期服药的健康参与者在 2014 年 6 月开始的一项正在进行的横断面研究（n=439，170 名男性，269 名女性）以及 2013 年 1 月至 2014 年 10 月进行的一项随机对照试验（n=108，58 名男性，50 名女性）中被招募。这两项研究均在新加坡的临床营养研究中心进行。
用于开发和验证方程的数据来自两项原始研究，这些研究通过双能 X 射线吸收法、年龄、腰围、身高以及肱二头肌和肱三头肌皮褶来评估体脂。
使用横断面数据的逐步回归和 Akaike 信息准则，为男女分别开发特定性别的体脂百分比预测方程。然后，使用随机对照研究的数据对这些方程进行验证，并与亚洲特定的 Davidson 方程进行比较。
男女两性最佳的体脂预测模型（女性的 R=0.722，估计标准误差=2.97；男性的 R=0.815，估计标准误差=2.49）均包括肱二头肌和肱三头肌皮褶、腰围、年龄和身高。与亚洲特定的 Davidson 方程相比，新开发的方程在男性中导致体脂差异为 1.8%±2.7%（P<0.001），在女性中为 0.7%±3.1%（P=0.125；无统计学意义）（分别为-7.4%±3.2%[P<0.001]和-7.4%±2.7%[P<0.001]）。
制定了更精确预测亚洲华人成年人体脂百分比的男女特定方程。在现场和临床环境中使用的便利性将是一个主要优势。
