Department of Nutrition and Dietetics, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Department of Laboratory and Biomedical Sciences, Faculty of Health Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
J Health Popul Nutr. 2021 Apr 9;40(1):17. doi: 10.1186/s41043-021-00224-3.
Application of advanced body composition measurement methods is not practical in developing countries context due to cost and unavailability of facilities. This study generated ethnic specific body fat percent prediction equation for Ethiopian adults using appropriate data.
A cross-sectional study was carried ifrom February to April 2015 among 704 randomly selected adult employees of Jimma University. Ethnic specific Ethiopian body fat percent (BF%) prediction equation was developed using a multivariable linear regression model with measured BF% as dependent variable and age, sex, and body mass index as predictor variables. Agreement between fat percent measured using air displacement plethysmography and body fat percent estimated using Caucasian prediction equations was determined using Bland Altman plot.
Comparison of ADP measured and predicted BF% showed that Caucasian prediction equation underestimated body fat percent among Ethiopian adults by 6.78% (P < 0.0001). This finding is consistent across all age groups and ethnicities in both sexes. Bland Altman plot did not show agreement between ADP and Caucasian prediction equation (mean difference = 6.7825) and some of the points are outside 95% confidence interval. The caucasian prediction equation significantly underestimates body fat percent in Ethiopian adults, which is consistent across all ethnic groups in the sample. The study developed Ethnic specific BF% prediction equations for Ethiopian adults.
The Caucasian prediction equation significantly underestimates body fat percent among Ethiopian adults regardless of ethnicity. Ethiopian ethnic-specific prediction equation can be used as a very simple, cheap, and cost-effective alternative for estimating body fat percent among Ethiopian adults for health care provision in the prevention of obesity and related morbidities and for research purposes.
由于成本和设施缺乏，先进的身体成分测量方法在发展中国家的应用并不实际。本研究使用适当的数据为埃塞俄比亚成年人生成了具有民族特异性的体脂百分比预测方程。
2015 年 2 月至 4 月期间，在吉姆马大学的 704 名随机选择的成年员工中进行了一项横断面研究。使用多元线性回归模型，以实测体脂百分比（BF%）为因变量，年龄、性别和体重指数为预测变量，建立了具有民族特异性的埃塞俄比亚 BF%预测方程。使用 Bland-Altman 图比较了空气置换体积描记术（ADP）测量的 BF%和使用白种人预测方程估计的 BF%。
ADP 测量的 BF%和预测的 BF%的比较表明，白种人预测方程低估了埃塞俄比亚成年人的体脂百分比 6.78%（P < 0.0001）。这一发现在所有年龄组和性别中都是一致的。Bland-Altman 图显示 ADP 和白种人预测方程之间没有一致性（平均差异=6.7825），有些点在 95%置信区间之外。白种人预测方程显著低估了埃塞俄比亚成年人的体脂百分比，这在样本中的所有族群中都是一致的。本研究为埃塞俄比亚成年人开发了具有民族特异性的 BF%预测方程。
无论种族如何，白种人预测方程显著低估了埃塞俄比亚成年人的体脂百分比。埃塞俄比亚特有的预测方程可作为一种非常简单、廉价和具有成本效益的替代方法，用于估计埃塞俄比亚成年人的体脂百分比，以提供医疗保健，预防肥胖及其相关的发病率，并用于研究目的。
