Banna Jinan C, McCrory Megan A, Fialkowski Marie Kainoa, Boushey Carol
University of Hawaii at Manoa, Honolulu, HI, United States.
Boston University, Boston, MA, United States.
Front Nutr. 2017 Sep 25;4:45. doi: 10.3389/fnut.2017.00045. eCollection 2017.
Self-reported dietary intake data contain valuable information and have long been used in the development of nutrition programs and policy. Some degree of measurement error is always present in such data. Biological plausibility, assessed by determining whether self-reported energy intake (rEI) reflects physiological status and physical activity level, must be examined and accounted for before drawing conclusions about intake. Methods that may be used to account for plausibility of rEI include crude methods such as excluding participants reporting EIs at the extremes of a range of intake and individualized methods such as statistical adjustment and applying cutoffs that account for the errors associated with within-participant variation in EI and total energy expenditure (TEE). These approaches allow researchers to determine how accounting for under- and overreporting affects study results and to appropriately address misreporting in drawing conclusions with data collected and in interpreting reported research. In selecting a procedure to assess and account for plausibility of intake, there are a number of key considerations, such as resources available, the dietary-report instrument, as well as the advantages and disadvantages of each method. While additional studies are warranted to recommend one procedure as superior to another, researchers should apply one of the available methods to address the issue of implausible rEI. If no method is applied, then at minimum, mean TEE or rEI/TEE should be reported to allow readers to ascertain the degree of misreporting at a gross level and better interpret the data and results provided.
自我报告的饮食摄入数据包含有价值的信息,并且长期以来一直被用于营养项目和政策的制定。此类数据中总是存在一定程度的测量误差。在得出关于摄入量的结论之前,必须通过确定自我报告的能量摄入量(rEI)是否反映生理状态和身体活动水平来评估生物学合理性,并加以考虑。可用于考量rEI合理性的方法包括粗略方法,如排除报告的能量摄入量处于摄入量范围两端的参与者,以及个体化方法,如统计调整和应用考虑与参与者内部能量摄入量(EI)和总能量消耗(TEE)变化相关误差的临界值。这些方法使研究人员能够确定考虑少报和多报如何影响研究结果,并在利用收集的数据得出结论和解释报告的研究时适当地处理误报问题。在选择评估和考量摄入量合理性的程序时,有许多关键因素需要考虑,例如可用资源、饮食报告工具以及每种方法的优缺点。虽然需要进行更多研究以推荐一种程序优于另一种程序,但研究人员应应用现有的方法之一来解决rEI不合理的问题。如果未应用任何方法,那么至少应报告平均TEE或rEI/TEE,以便读者能够从总体上确定误报程度,并更好地解释所提供的数据和结果。