Department of Nutrition, Faculty of Nutrition, Universidade Federal de Pelotas, Pelotas96010-610, Brazil.
Graduate Program in Epidemiology, Department of Social Medicine, Universidade Federal de Pelotas, Pelotas96020-220, Brazil.
Public Health Nutr. 2021 Jan;24(1):34-42. doi: 10.1017/S1368980020001196. Epub 2020 Jun 29.
To assess the relative validity of a FFQ developed for the Pelotas Birth Cohort Studies.
Participants completed a ninety-two-food-item FFQ and then answered two 24-h recalls (24HR), one in-person interview and a second one by telephone, administered 14-28 d apart. Median and relative differences of energy, fifteen nutrients and eleven food groups were estimated based on the FFQ and the average of two 24HR. Nutrients were log-transformed and energy-adjusted using residual method. Validity was assessed by crude, energy-adjusted and de-attenuated Pearson and Lin's concordance correlation coefficients. Agreement of quartiles and weighted κ were performed. Differences in energy and nutrient estimations between methods were plotted in Bland-Altman graphs.
Pelotas, southern Brazil.
Two hundred fifty-four participants randomly selected from the 1993 Pelotas Birth Cohort during the 22-year follow-up (2015).
The FFQ overestimated energy and most nutrients and food groups compared with the two 24HR. Energy-adjusted and de-attenuated Pearson correlation coefficients ranged from 0·21 to 0·66. The highest energy-adjusted and de-attenuated concordance correlation coefficients were observed for Ca (0·48), niacin (0·32), Na (0·29), vitamin C (0·28) and riboflavin (0·25). The percentage of nutrients classified into the same and opposite quartiles ranged from 36·5 to 60·3 %, and from 4·8 to 19·1 %, respectively. Weighted κ was moderate for Ca (0·51), beans and legumes (0·50) and milk and dairies (0·49).
The FFQ provides a reasonable dietary intake assessment for habitual food consumption. However, the relative validity was weak for specific nutrients and food groups.
评估为佩洛塔斯出生队列研究开发的 FFQ 的相对有效性。
参与者完成了一个包含 92 种食物的 FFQ,然后回答了两次 24 小时回忆(24HR),一次面对面访谈和第二次电话访谈,两次回忆之间相隔 14-28 天。根据 FFQ 和两次 24HR 的平均值,估计了能量、十五种营养素和十一种食物组的中位数和相对差异。营养素经对数转换,并使用残差法进行能量调整。使用粗、能量调整和去衰减 Pearson 和 Lin 一致性相关系数评估有效性。进行了四分位数和加权 κ 的一致性。在 Bland-Altman 图中绘制了不同方法之间能量和营养素估计的差异。
巴西南部佩洛塔斯。
在 22 年随访期间(2015 年),从 1993 年佩洛塔斯出生队列中随机选择了 254 名参与者。
与两次 24HR 相比,FFQ 高估了能量和大多数营养素和食物组。能量调整和去衰减 Pearson 相关系数范围为 0.21 至 0.66。观察到最高的能量调整和去衰减一致性相关系数为 Ca(0.48)、烟酸(0.32)、Na(0.29)、维生素 C(0.28)和核黄素(0.25)。分类为相同和相反四分位数的营养素百分比范围为 36.5%至 60.3%,分别为 4.8%至 19.1%。Ca(0.51)、豆类和豆类(0.50)和牛奶和奶制品(0.49)的加权 κ 为中度。
FFQ 可对习惯性食物摄入进行合理的膳食摄入量评估。然而,对于特定营养素和食物组,相对有效性较弱。