Present address: Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Present address: Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Int J Behav Nutr Phys Act. 2021 Jan 11;18(1):12. doi: 10.1186/s12966-020-01078-4.
Reproducibility of FFQs measures the consistency of the same subject at different time points. We performed a meta-analysis to explore the reproducibility of FFQs and factors related to reproducibility of FFQs.
A systematic literature review was performed before July 2020 using PubMed and Web of Science databases. Pooled intraclass and Spearman correlation coefficients (95% confidence interval) were calculated to assess the reproducibility of FFQs. Subgroup analyses based on characteristics of study populations, FFQs, or study design were performed to investigate factors related to the reproducibility of FFQs. A total of 123 studies comprising 20,542 participants were eligible for the meta-analysis. The pooled crude intraclass correlation coefficients ranged from 0.499 to 0.803 and 0.499 to 0.723 for macronutrients and micronutrients, respectively. Energy-adjusted intraclass correlation coefficients ranged from 0.420 to 0.803 and 0.507 to 0.712 for macronutrients and micronutrients, respectively. The pooled crude and energy-adjusted Spearman correlation coefficients ranged from 0.548 to 0.851 and 0.441 to 0.793, respectively, for macronutrients; and from 0.573 to 0.828 and 0.510 to 0.744, respectively, for micronutrients. FFQs with more food items, 12 months as dietary recall interval (compared to less than 12 months), and a shorter time period between repeated FFQs resulted in superior FFQ reproducibility.
In conclusion, FFQs with correlation coefficients greater than 0.5 for most nutrients may be considered a reliable tool to measure dietary intake. To develop FFQs with higher reproducibility, the number of food items and dietary recall interval should be taken into consideration.
FFQ 的可重复性衡量的是同一受试者在不同时间点的一致性。我们进行了一项荟萃分析，以探讨 FFQ 的可重复性及其与 FFQ 可重复性相关的因素。
在 2020 年 7 月之前，我们使用 PubMed 和 Web of Science 数据库进行了系统的文献回顾。计算了组内 ICC 和 Spearman 相关系数（95%置信区间），以评估 FFQ 的可重复性。基于研究人群、FFQ 或研究设计的特征进行亚组分析，以探讨与 FFQ 可重复性相关的因素。共有 123 项研究，包含 20542 名参与者符合荟萃分析的纳入标准。总体 ICC 粗值范围为 0.499 至 0.803，宏量营养素和微量营养素分别为 0.499 至 0.723；能量校正 ICC 粗值范围为 0.420 至 0.803，宏量营养素和微量营养素分别为 0.507 至 0.712。总体 Spearman 粗值和能量校正 Spearman 相关系数范围分别为 0.548 至 0.851 和 0.441 至 0.793，用于宏量营养素；0.573 至 0.828 和 0.510 至 0.744，用于微量营养素。FFQ 包含更多的食物，12 个月的膳食回顾间隔（相较于小于 12 个月），以及两次 FFQ 之间较短的时间间隔，可导致 FFQ 具有更好的可重复性。
总之，对于大多数营养素，相关性系数大于 0.5 的 FFQ 可能被认为是测量膳食摄入量的可靠工具。为了开发具有更高可重复性的 FFQ，应考虑食物数量和膳食回顾间隔。
