Lucassen Desiree A, Brouwer-Brolsma Elske M, Boshuizen Hendriek C, Balvers Michiel, Feskens Edith Jm
Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
J Nutr. 2025 Feb;155(2):634-642. doi: 10.1016/j.tjnut.2024.12.002. Epub 2024 Dec 7.
Current dietary assessment methods are affected by memory-related bias and heavily burden respondents. To reduce respondent burden and associated measurement error, we recently developed an innovative smartphone-based 2-h recall (2hR) method.
Evaluation of the use of random 2hRs, administered via the smartphone-based dietary assessment tool "Traqq", for assessing habitual intake against a validated food frequency questionnaire (FFQ) and blood concentration markers.
Dietary intake was assessed in 215 Dutch adults by repeated 2hRs on randomly selected days and times (i.e. equivalent to 3 full days of 2hRs) over a 4-wk period. At the end of the study period, participants completed a validated semiquantitative FFQ. Sixty-five random participants also provided 2 fasting blood samples, to assess plasma carotenoid and plasma n-3 polyunsaturated fatty acid (PUFA) concentrations.
Intake estimates of energy (2132 ± 665 kcal vs. 2017 ± 572 kcal) were slightly higher with 2hRs than FFQ, whereas the percentage energy intake from macronutrients where similar (i.e. protein: 37 ± 14 en% vs. 37 ± 13 en%; fat: 35 ± 6 en% vs. 44 ± 7 en%; carbohydrates: 44 ± 7 en% vs. 44 ± 6 en%). For food groups, a larger variation in intake estimates was found ranging from -65% (legumes) to 62% (pastry, cake and biscuits). Spearman correlations between 2hRs and FFQ ranged from 0.33 to 0.69 for energy and macronutrients, from 0.32 to 0.58 for micronutrients, and from 0.27 to 0.67 for food groups. For all nutrients and food groups, ≥70% of the participants were classified in the same/adjacent quartile. Spearman correlations between 2hRs and plasma carotenoids and n-3 PUFA ranged between 0.34 and 0.57 and cross-classification ranged between 61% and 83% in the same/adjacent quartile.
Comparing 2hRs with FFQ and blood concentration markers showed good ranking ability for energy, most nutrients, and most frequently consumed foods. More variation was seen for episodically consumed foods and nutrients.
This trial was registered at the Dutch Central Committee on Research Involving Human Subjects (CCMO) registry as ABR No. NL69065.081.19 (https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&unids=26E81F6A56186B1EC12587BD001C7AC9).
当前的饮食评估方法受到与记忆相关的偏差影响,且给受访者带来沉重负担。为减轻受访者负担及相关测量误差,我们最近开发了一种基于智能手机的创新型24小时回忆法(2hR)。
评估通过基于智能手机的饮食评估工具“Traqq”进行的随机2hR,用于对照经过验证的食物频率问卷(FFQ)和血液浓度标志物评估习惯性摄入量。
在4周时间内,通过在随机选择的日期和时间重复进行2hR(即相当于3个完整的2hR日),对215名荷兰成年人的饮食摄入量进行评估。在研究期结束时,参与者完成了一份经过验证的半定量FFQ。65名随机参与者还提供了2份空腹血样,以评估血浆类胡萝卜素和血浆n-3多不饱和脂肪酸(PUFA)浓度。
2hR得出的能量摄入量估计值(2132±665千卡对2017±572千卡)略高于FFQ,而宏量营养素的能量摄入百分比相似(即蛋白质:37±14能量百分比对37±13能量百分比;脂肪:35±6能量百分比对44±7能量百分比;碳水化合物:44±7能量百分比对44±6能量百分比)。对于食物组,摄入量估计值的变化更大,范围从-65%(豆类)到62%(糕点、蛋糕和饼干)。2hR与FFQ之间的斯皮尔曼相关性,能量和宏量营养素为0.33至0.69,微量营养素为0.32至0.58,食物组为0.27至0.67。对于所有营养素和食物组,≥70%的参与者被归类在相同/相邻四分位数中。2hR与血浆类胡萝卜素和n-3 PUFA之间的斯皮尔曼相关性在0.34至0.57之间,交叉分类在相同/相邻四分位数中的范围在61%至83%之间。
将2hR与FFQ和血液浓度标志物进行比较,结果表明其在能量、大多数营养素和最常食用食物方面具有良好的排序能力。对于偶尔食用的食物和营养素,变化更大。
本试验在荷兰涉及人类受试者中央委员会(CCMO)注册,注册号为ABR No. NL69065.081.19(https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&unids=26E81F6A56186B1EC12587BD001C7AC9)。