Luo Yue, Morales Jeremy C, Dunton Genevieve F, Mason Tyler B
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States.
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States.
Appetite. 2025 Jun 26;214:108212. doi: 10.1016/j.appet.2025.108212.
This study examined the factor structure of five binge-eating symptom items and identified the social contexts and food types associated with these symptoms in adolescents using ecological momentary assessment (EMA).
Seventy-four adolescents aged 13-17 completed ten days of EMA, including signal-contingent prompts and event-contingent eating episode prompts. When recording eating episodes, adolescents completed measures on their current social context, food and drinks consumed, and binge-eating symptoms during the episode. Primary analyses included multilevel exploratory factor analysis of five binge-eating symptom items and generalized linear models of associations between social contexts and food types with binge-eating symptoms.
A two within-subject (i.e., overeating and loss of control eating [LOCE] subscales) and one between-subject factor solution fit the data. Within-subjects alone versus not alone was associated with lower overeating (p = .010) and within-subjects family versus not with family was associated with higher overeating (p = .033). Between-subjects family context was associated with lower LOCE (p = .008), while between-subjects peers/friends context was related to higher LOCE (p = .002) and overeating (p = .003). Both within- and between-subjects consumption of sweet food was associated with increased LOCE (p = .03 and p < .001, respectively) and overeating (p = .02 and p = .003, respectively). Within-subjects consumption of salty/fried food and pizza/fast food was both significantly associated with higher LOCE (p < .001 and p=.021, respectively) and overeating (p=.041 and p < .001, respectively). Within-subjects consumption of sweetened beverages was linked to higher overeating (p < .001), while water consumption was associated with lower overeating (p = .002).
Implications include the use of context-specific nutrition and social interventions in reducing adolescent binge eating.
本研究考察了五个暴饮暴食症状条目的因素结构，并使用生态瞬时评估（EMA）确定了青少年中与这些症状相关的社会环境和食物类型。
74名13至17岁的青少年完成了为期十天的EMA，包括信号依存提示和事件依存饮食发作提示。在记录饮食发作时，青少年完成了关于他们当前社会环境、所消费的食物和饮料以及发作期间暴饮暴食症状的测量。主要分析包括对五个暴饮暴食症状条目的多水平探索性因素分析，以及社会环境和食物类型与暴饮暴食症状之间关联的广义线性模型。
一个双主体内（即暴饮暴食和失控进食[LOCE]子量表）和一个主体间因素解决方案符合数据。主体内单独与非单独与较低的暴饮暴食相关（p = 0.010），主体内与家人在一起与不与家人在一起相比与较高的暴饮暴食相关（p = 0.033）。主体间家庭环境与较低的LOCE相关（p = 0.008），而主体间同伴/朋友环境与较高的LOCE（p = 0.002）和暴饮暴食（p = 0.003）相关。主体内和主体间甜食消费均与LOCE增加（分别为p = 0.03和p < 0.001）和暴饮暴食（分别为p = 0.02和p = 0.003）相关。主体内咸/油炸食品和披萨/快餐消费均与较高的LOCE（分别为p < 0.001和p = 0.021）和暴饮暴食（分别为p = 0.041和p < 0.001）显著相关。主体内甜味饮料消费与较高的暴饮暴食相关（p < 0.001），而饮水与较低的暴饮暴食相关（p = 0.002）。
其意义包括使用针对具体环境的营养和社会干预措施来减少青少年暴饮暴食。
