Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Section for Colorectal Cancer Screening, Cancer Registry of Norway, Oslo, Norway.
J Med Internet Res. 2024 Apr 30;26:e53442. doi: 10.2196/53442.
Valid assessment tools are needed when investigating adherence to national dietary and lifestyle guidelines.
The relative validity of the new digital food frequency questionnaire, the DIGIKOST-FFQ, against 7-day weighed food records and activity sensors was investigated.
In total, 77 participants were included in the validation study and completed the DIGIKOST-FFQ and the weighed food record, and of these, 56 (73%) also used the activity sensors. The DIGIKOST-FFQ estimates the intake of foods according to the Norwegian food-based dietary guidelines (FBDGs) in addition to lifestyle factors.
At the group level, the DIGIKOST-FFQ showed good validity in estimating intakes according to the Norwegian FBDG. The median differences were small and well below portion sizes for all foods except "water" (median difference 230 g/day). The DIGIKOST-FFQ was able to rank individual intakes for all foods (r=0.2-0.7). However, ranking estimates of vegetable intakes should be interpreted with caution. Between 69% and 88% of the participants were classified into the same or adjacent quartile for foods and between 71% and 82% for different activity intensities. The Bland-Altman plots showed acceptable agreements between DIGIKOST-FFQ and the reference methods. The absolute amount of time in "moderate to vigorous intensity" was underestimated with the DIGIKOST-FFQ. However, estimated time in "moderate to vigorous intensity," "vigorous intensity," and "sedentary time" showed acceptable correlations and good agreement between the methods. The DIGIKOST-FFQ was able to identify adherence to the Norwegian FBDG and physical activity recommendations.
The DIGIKOST-FFQ gave valid estimates of dietary intakes and was able to identify individuals with different degrees of adherence to the Norwegian FBDG and physical activity recommendations. Moderate physical activity was underreported, water was overreported, and vegetables showed poor correlation, which are important to consider when interpreting the data. Good agreement was observed between the methods in estimating dietary intakes and time in "moderate to vigorous physical activity," "sedentary time," and "sleep."
在调查对国家饮食和生活方式指南的依从性时，需要使用有效的评估工具。
研究新的数字食物频率问卷 DIGIKOST-FFQ 相对于 7 天称重食物记录和活动传感器的相对有效性。
共有 77 名参与者参与了验证研究，他们完成了 DIGIKOST-FFQ 和称重食物记录，其中 56 名（73%）还使用了活动传感器。DIGIKOST-FFQ 根据挪威基于食物的膳食指南（FBDG）以及生活方式因素来估计食物的摄入量。
在群体水平上，DIGIKOST-FFQ 对估计符合挪威 FBDG 的摄入量具有良好的有效性。所有食物的中位数差异都很小，远低于份量大小，除了“水”（中位数差异为 230 克/天）。DIGIKOST-FFQ 能够对所有食物的个体摄入量进行排名（r=0.2-0.7）。然而，对蔬菜摄入量的排名估计应谨慎解释。对于所有食物，69%至 88%的参与者被归类为相同或相邻的四分位数，对于不同活动强度，有 71%至 82%的参与者被归类为相同或相邻的四分位数。Bland-Altman 图显示 DIGIKOST-FFQ 与参考方法之间具有可接受的一致性。DIGIKOST-FFQ 低估了“中等至剧烈强度”的时间量。然而，估计的“中等至剧烈强度”、“剧烈强度”和“久坐时间”之间的时间具有可接受的相关性，并且方法之间具有良好的一致性。DIGIKOST-FFQ 能够识别对挪威 FBDG 和身体活动建议的依从性。
DIGIKOST-FFQ 对膳食摄入量的估计具有有效性，并且能够识别出对挪威 FBDG 和身体活动建议的不同程度的依从性的个体。中度体力活动被低估，水被高估，蔬菜的相关性较差，在解释数据时需要考虑这些因素。在估计膳食摄入量和“中等至剧烈体力活动”、“久坐时间”和“睡眠”时间方面，方法之间具有良好的一致性。
