Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
J Nutr Educ Behav. 2022 Jul;54(7):600-609. doi: 10.1016/j.jneb.2022.02.007. Epub 2022 May 27.
This study evaluated the association between children's daily negative affect (NA) trajectories and unhealthy food consumption during weekends using ecological momentary assessment (EMA).
Children answered mobile phone-based EMA surveys 7 times a day for 2 weekend days per wave, with each survey assessing current NA and past 2-hour consumption of fried foods (chips or fries), sweets (pastries or sweets), and sugary beverages (drank soda or energy drinks).
Los Angeles, California.
The sample consisted of 195 children (51% female; mean age, 9.65 years; SD, 0.93) from the Mothers and Their Children's Health cohort study.
Negative affect trajectory (independent variable), unhealthy food consumption (dependent variable).
Latent growth mixture modeling classified NA trajectories across days and examined their association with unhealthy food consumption.
The latent growth mixture modeling identified 3 classes of daily NA trajectories: (1) stable low, (2) early increasing and late decreasing and (3) early decreasing and late increasing. Fried food consumption was higher on early increasing and late decreasing and early decreasing and late increasing NA trajectories than days with stable low NA.
By better understanding day-to-day variability in children's affect and eating, we can individually tailor obesity interventions to account for the emotional contexts in which unhealthy eating occurs.
本研究采用生态瞬时评估(EMA)评估儿童日常负性情绪(NA)轨迹与周末不健康食品消费之间的关系。
每个波次的 2 个周末,儿童每天通过手机回答 7 次 EMA 调查,每次调查评估当前的 NA 和过去 2 小时内油炸食品(薯条或薯片)、甜食(糕点或糖果)和含糖饮料(苏打水或能量饮料)的消费情况。
加利福尼亚州洛杉矶。
该样本由来自母亲及其儿童健康队列研究的 195 名儿童(51%为女性;平均年龄为 9.65 岁,标准差为 0.93)组成。
负性情绪轨迹(自变量),不健康食品消费(因变量)。
潜在增长混合模型对跨日的 NA 轨迹进行分类,并检验其与不健康食品消费的关联。
潜在增长混合模型确定了 3 种每日 NA 轨迹类型:(1)稳定的低水平,(2)早期增加和晚期减少,以及(3)早期减少和晚期增加。在早期增加和晚期减少以及早期减少和晚期增加的 NA 轨迹上,油炸食品的消费高于稳定的低 NA 日。
通过更好地了解儿童情感和饮食的日常变化,我们可以针对不健康饮食发生的情绪背景,对肥胖干预措施进行个性化调整。