Department of Nutrition Science, Purdue University, West Lafayette, IN.
National Institutes of Health, National Cancer Institute, Rockville, MD.
J Nutr. 2019 Feb 1;149(2):181-197. doi: 10.1093/jn/nxy264.
The use of dietary supplements (DS) is pervasive and can provide substantial amounts of micronutrients to those who use them. Therefore when characterizing dietary intakes, describing the prevalence of inadequacy or excess, or assessing relations between nutrients and health outcomes, it is critical to incorporate DS intakes to improve exposure estimates. Unfortunately, little is known about the best methods to assess DS, and the structure of measurement error in DS reporting. Several characteristics of nutrients from DS are salient to understand when comparing to those in foods. First, DS can be consumed daily or episodically, in bolus form and can deliver discrete and often very high doses of nutrients that are not limited by energy intakes. These characteristics contribute to bimodal distributions and distributions severely skewed to the right. Labels on DS often provide nutrient forms that differ from those found in conventional foods, and underestimate analytically derived values. Finally, the bioavailability of many nutrient-containing DS is not known and it may not be the same as the nutrients in a food matrix. Current methods to estimate usual intakes are not designed specifically to handle DS. Two temporal procedures are described to refer to the order that nutrient intakes are combined relative to usual intake procedures, referred to as a "shrinking" the distribution to remove random error. The "shrink then add" approach is preferable to the "add then shrink" approach when users and nonusers are combined for most research questions. Stratifying by DS before usual intake methods is another defensible option. This review describes how to incorporate nutrient intakes from DS to usual intakes from foods, and describes the available methods and fit-for-purpose of different analytical strategies to address research questions where total usual intakes are of interest at the group level for use in nutrition research and to inform policy decisions. Clinical Trial Registry: NCT03400436.
膳食补充剂(DS)的使用非常普遍,可以为使用者提供大量的微量营养素。因此,在描述膳食摄入量、描述不足或过量的普遍性,或评估营养素与健康结果之间的关系时,纳入 DS 摄入量以改善暴露估计是至关重要的。不幸的是,人们对评估 DS 的最佳方法以及 DS 报告中测量误差的结构知之甚少。当将 DS 中的营养素与食物中的营养素进行比较时,有几个 DS 营养素的特征是显著的。首先,DS 可以每天或偶尔以脉冲形式服用,可以提供离散的、通常非常高剂量的营养素,不受能量摄入的限制。这些特征导致双模态分布和严重右偏的分布。DS 标签上通常提供的营养素形式与常规食品中发现的形式不同,并且低估了分析得出的值。最后,许多含营养素的 DS 的生物利用度尚不清楚,它可能与食物基质中的营养素不同。目前估计常规摄入量的方法并不是专门为处理 DS 而设计的。本文描述了两种时间性程序,用于参考营养素摄入量相对于常规摄入量程序的组合顺序,称为“缩小”分布以消除随机误差。当用户和非用户为大多数研究问题而组合时,“先缩后加”方法优于“先加后缩”方法。在常规摄入量方法之前按 DS 分层是另一种合理的选择。这篇综述描述了如何将 DS 中的营养素摄入量纳入食物中的常规摄入量,并描述了不同分析策略的可用方法和适用性,以解决总常规摄入量在群体水平上对营养研究有用并为政策决策提供信息的研究问题。临床试验注册号:NCT03400436。