School of Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada.
Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia.
Nutrients. 2018 Jul 31;10(8):1001. doi: 10.3390/nu10081001.
To inform strategies to improve the dietary intakes of populations, robust evaluations of interventions are required. This paper is drawn from a workshop held at the International Society of Behavioral Nutrition and Physical Activity 2017 Annual Meeting, and highlights considerations and research priorities relevant to measuring dietary outcomes within intervention studies. Self-reported dietary data are typically relied upon in such studies, and it is recognized that these data are affected by random and systematic error. Additionally, differential error between intervention and comparison groups or pre- and post-intervention can be elicited by the intervention itself, for example, by creating greater awareness of eating or drinking occasions or the desire to appear compliant. Differential reporting can render the results of trials incorrect or inconclusive by leading to biased estimates and reduced statistical power. The development of strategies to address intervention-related biases requires developing a better understanding of the situations and population groups in which interventions are likely to elicit differential reporting and the extent of the bias. Also needed are efforts to expand the feasibility and applications of biomarkers to address intervention-related biases. In the meantime, researchers are encouraged to consider the potential for differential biases in dietary reporting in a given study, to choose tools carefully and take steps to minimize and/or measure factors such as social desirability biases that might contribute to differential reporting, and to consider the implications of differential reporting for study results.
为了制定改善人群饮食摄入的策略,需要对干预措施进行强有力的评估。本文源自于 2017 年国际行为营养与体力活动学会年会上举办的一次研讨会,重点介绍了在干预研究中测量饮食结果时需要考虑的因素和研究重点。此类研究通常依赖于自我报告的饮食数据,人们认识到这些数据会受到随机和系统误差的影响。此外,干预本身可能会引起干预组和对照组之间或干预前和干预后之间的差异误差,例如,通过提高对进食或饮水时间的认识或希望表现出顺从性。由于导致有偏差的估计和降低统计效力,差异报告可能会使试验结果不正确或没有结论。为了解决与干预相关的偏差,需要制定出更好的策略,以更好地了解干预措施可能引起差异报告的情况和人群群体,以及偏差的程度。还需要努力扩大生物标志物的可行性和应用范围,以解决与干预相关的偏差。同时,鼓励研究人员在特定研究中考虑饮食报告中可能存在的差异偏差,谨慎选择工具,并采取措施尽量减少和/或测量可能导致差异报告的社会期望偏差等因素,并考虑差异报告对研究结果的影响。