Department of Agriculture, Food and Nutritional Science, Alberta Diabetes Institute, University of Alberta, 6-002 Li Ka Shing Centre for Health Innovation Research, Edmonton, AB T6G 2E1, Canada.
Department of Physiology, Alberta Diabetes Institute, University of Alberta, 6-002 Li Ka Shing Centre for Health Innovation Research, Edmonton, AB T6G 2E1, Canada.
Nutrients. 2018 Aug 10;10(8):1064. doi: 10.3390/nu10081064.
Dietary self-report instruments are essential to nutritional analysis in dietetics practice and their use in research settings has facilitated numerous important discoveries related to nutrition, health and chronic diseases. An important example is obesity, for which measuring changes in energy intake is critical for assessing efficacy of dietary interventions. However, current methods, including counting calories, estimating portion size and using food labels to estimate human energy intake have considerable constraints; consequently, research on new methodologies/technologies has been encouraged to mitigate the present weaknesses. The use of technologies has prompted innovation in dietary analysis. In this review, the strengths and limitations of new approaches have been analyzed based on ease of use, practical limitations, and statistical evaluation of reliability and validity. Their utility is discussed through the lens of the 4Ms of Obesity Assessment and Management, which has been used to evaluate root causes of obesity and help select treatment options.
膳食自我报告工具对于营养学实践中的营养分析至关重要,它们在研究中的应用促进了许多与营养、健康和慢性病相关的重要发现。肥胖就是一个重要的例子,测量能量摄入的变化对于评估饮食干预的效果至关重要。然而,目前的方法,包括计算卡路里、估计食物份量和使用食物标签来估计人体能量摄入,都存在很大的局限性;因此,鼓励研究新的方法/技术来弥补当前的不足。技术的使用促使了饮食分析的创新。在这篇综述中,根据易用性、实际限制以及对可靠性和有效性的统计评估,分析了新方法的优缺点。通过肥胖评估和管理的 4M 法,从评估肥胖的根本原因和帮助选择治疗方案的角度,讨论了它们的实用性。