Janssen Ian, Heymsfield Steven B, Ross Robert
School of Physical and Health Education, Queen's University, Kingston, ON.
Can J Appl Physiol. 2002 Aug;27(4):396-414. doi: 10.1139/h02-021.
Incremental improvements in our knowledge of the associations between human body composition and disease have been facilitated by advances in research technology. Magnetic resonance imaging and computerized tomography are among the technological advances that have helped unravel the mechanisms that link body composition and disease. However, because the use of these methods in large-scale studies and field settings is impractical, the potential relationships between body composition and health risk rely on the use of anthropometric tools. Indeed, the application of simple anthropometry to identify relationships between body composition and health risk in clinical practice is no less valuable than the use of advanced technologies to gain insight into the mechanistic links between body composition and disease in the laboratory. Accordingly, the purpose of this review is to summarize current knowledge regarding the ability of anthropometry to predict health risk and to act as surrogate measures of total and abdominal fat distribution. Because the ultimate objective is to make recommendations for revision to the Healthy Body Composition section of the Canadian Physical Activity, Fitness and Lifestyle Appraisal (CPAFLA) manual, we focus on those anthropometric methods specific to CPAFLA. Consistent with this objective, when necessary we present original data to reinforce important concepts not suitably addressed in the literature.
研究技术的进步推动了我们对人体成分与疾病之间关联的认识不断取得渐进式进展。磁共振成像和计算机断层扫描是有助于揭示人体成分与疾病之间联系机制的技术进步之一。然而,由于在大规模研究和现场环境中使用这些方法不切实际,人体成分与健康风险之间的潜在关系依赖于人体测量工具的使用。事实上,在临床实践中应用简单人体测量法来确定人体成分与健康风险之间的关系,其价值并不亚于在实验室中使用先进技术来深入了解人体成分与疾病之间的机制联系。因此,本综述的目的是总结有关人体测量法预测健康风险的能力以及作为总体和腹部脂肪分布替代指标的现有知识。由于最终目标是为修订《加拿大身体活动、健身与生活方式评估》(CPAFLA)手册中的“健康身体成分”部分提供建议,我们重点关注特定于CPAFLA的那些人体测量方法。为符合这一目标,必要时我们会展示原始数据,以强化文献中未充分探讨的重要概念。