Kleinberg Samantha, Pleuss James D, Deierlein Andrea L
Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, United States.
Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, United States.
J Nutr. 2024 Dec;154(12):3780-3789. doi: 10.1016/j.tjnut.2024.10.038. Epub 2024 Oct 26.
Diet is critical for pregnant individuals and their offspring, but insight into diet during pregnancy mainly comes from questionnaires and recalls.
To obtain detailed real-time dietary data during pregnancy to evaluate intra- and interindividual variation in intakes.
Pregnant individuals were recruited from a New York City health system December 2020-June 2023. Participants collected dietary intakes for 14 d (mean gestational weeks = 17.6) and again roughly 4 wk later (mean gestational weeks = 24.5). Participants logged each eating occasion using a smartphone and study-developed app, and wore a smartwatch capturing physiologic data.
In total, 150 individuals completed ≥1 data collection round, with 134 completing both rounds. Mean daily eating window was 10.82 h, with weekends having a significantly shorter window than weekdays (P < 0.001). Eating window was correlated with energy intake (r = 0.401, P < 0.001), driven by later last eating occasions. There was high intraindividual variation in macro- and micronutrient intakes [intraclass correlation coefficient (ICC), range 0.11-0.40] and food type (ICC range: 0.08-0.34), and differences between weekdays and weekends (less protein and micronutrients on weekends). Few participants' mean intakes met daily recommended dietary allowances for key micronutrients (under 15% for iron, magnesium, vitamin D, and vitamin E; under 30% for calcium, folate, zinc, and vitamin A).
Dietary intakes varied substantially within and between individuals, and mean nutrient intake estimates did not capture nutrient adequacy for individuals or populations. Future work that examines individual daily dietary intakes throughout pregnancy among diverse populations is needed.
饮食对孕妇及其后代至关重要,但对孕期饮食的了解主要来自问卷调查和回忆。
获取孕期详细的实时饮食数据,以评估个体内和个体间摄入量的差异。
2020年12月至2023年6月从纽约市卫生系统招募孕妇。参与者记录14天的饮食摄入量(平均孕周 = 17.6),并在大约4周后再次记录(平均孕周 = 24.5)。参与者使用智能手机和研究开发的应用程序记录每次进食情况,并佩戴智能手表记录生理数据。
共有150名个体完成了≥1轮数据收集,其中134名完成了两轮。平均每日进食窗口为10.82小时,周末的进食窗口明显短于工作日(P < 0.001)。进食窗口与能量摄入相关(r = 0.401,P < 0.001),这是由最后一次进食时间较晚导致的。宏量和微量营养素摄入量[组内相关系数(ICC),范围为0.11 - 0.40]和食物类型(ICC范围:0.08 - 0.34)存在较高的个体内差异,且工作日和周末之间存在差异(周末蛋白质和微量营养素较少)。很少有参与者的平均摄入量达到关键微量营养素的每日推荐膳食摄入量(铁、镁、维生素D和维生素E低于15%;钙、叶酸、锌和维生素A低于30%)。
个体内和个体间的饮食摄入量差异很大,平均营养素摄入量估计值无法反映个体或人群的营养充足情况。需要开展进一步的工作,研究不同人群在整个孕期的个体每日饮食摄入量。