From the 1Baker IDI Heart and Diabetes Institute, the Alfred Centre, Level 4, 99 Commercial Road, Melbourne, Victoria 3004, Australia.
Human Nutrition, School of Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Royal Infirmary Campus, Alexandra Parade, Glasgow G31 2ER, UK.
QJM. 2016 Jul;109(7):443-446. doi: 10.1093/qjmed/hcv201. Epub 2015 Nov 1.
With the obesity epidemic, and the effects of aging populations, human phenotypes have changed over two generations, possibly more dramatically than in other species previously. As obesity is an important and growing hazard for population health, we recommend a systematic evaluation of the optimal measure(s) for population-level excess body fat. Ideal measure(s) for monitoring body composition and obesity should be simple, as accurate and sensitive as possible, and provide good categorization of related health risks. Combinations of anthropometric markers or predictive equations may facilitate better use of anthropometric data than single measures to estimate body composition for populations. Here, we provide new evidence that increasing proportions of aging populations are at high health-risk according to waist circumference, but not body mass index (BMI), so continued use of BMI as the principal population-level measure substantially underestimates the health-burden from excess adiposity.
随着肥胖症的流行和人口老龄化的影响，人类表型在两代人之间发生了变化，其变化幅度可能比以前其他物种更为显著。由于肥胖是人口健康的一个重要且日益严重的危害，我们建议系统评估人群中多余体脂的最佳测量方法。监测身体成分和肥胖的理想方法应该简单，尽可能准确和敏感，并能很好地分类相关健康风险。人体测量标志物或预测方程的组合可能比单一指标更有助于利用人体测量数据来估计人群的身体成分。在这里，我们提供了新的证据，表明根据腰围，越来越多的老年人口处于高健康风险，但体重指数（BMI）不是，因此继续将 BMI 用作主要的人群水平测量方法会大大低估多余脂肪带来的健康负担。
