Centre de recherche du centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
University of Toronto, Toronto, Ontario, Canada.
Health Educ Behav. 2023 Oct;50(5):647-657. doi: 10.1177/10901981231159679. Epub 2023 Mar 20.
Monitoring food intake and physical activity (PA) using tracking applications may support behavior change. However, few longitudinal studies identify the characteristics of young adults who track their behavior, findings that could be useful in designing tracking-related interventions. Our objective was to identify predictors of past-year food and PA tracking among young adults.
Data were available for 676 young adults participating in the ongoing longitudinal Nicotine Dependence in Teens Study. Potential predictors were measured in 2017-2020 at age 31, and past-year food and PA tracking were measured in 2021-2022 at age 34. Each potential predictor was studied in a separate multivariable logistic regression model controlling for age, sex, and educational attainment.
One third (37%) of participants reported past-year PA tracking; 14% reported past-year food, and 10% reported both. Nine and 11 of 41 potential predictors were associated with food and PA tracking, respectively. Compensatory behaviors after overeating, trying to lose weight, self-report overweight, reporting a wide variety of exercise behaviors, and pressure to lose weight predicted both food and PA tracking.
Food and PA tracking are relatively common among young adults. If the associations observed herein between compensatory behavior after overeating and tracking (among other observed associations) are replicated and found to be causal, caution may need to be exercised in making "blanket" recommendations to track food intake and/or PA to all young adults seeking behavior change.
使用跟踪应用程序监测食物摄入和身体活动(PA)可能有助于行为改变。然而,很少有纵向研究确定了跟踪行为的年轻成年人的特征,这些发现对于设计与跟踪相关的干预措施可能很有用。我们的目的是确定年轻成年人过去一年跟踪食物和 PA 的预测因素。
正在进行的青少年尼古丁依赖纵向研究中,有 676 名年轻成年人的数据可供使用。在 2017-2020 年,即 31 岁时测量了潜在的预测因素,在 2021-2022 年,即 34 岁时测量了过去一年的食物和 PA 跟踪情况。在控制年龄、性别和教育程度的情况下,每个潜在预测因素都在单独的多变量逻辑回归模型中进行了研究。
三分之一(37%)的参与者报告过去一年进行了 PA 跟踪;14%报告过去一年跟踪食物摄入,10%报告同时跟踪食物和 PA。41 个潜在预测因素中有 9 个和 11 个分别与食物和 PA 跟踪有关。暴饮暴食后的补偿行为、试图减肥、自我报告超重、报告各种锻炼行为以及减肥压力与食物和 PA 跟踪都有关。
在年轻成年人中,食物和 PA 跟踪相对常见。如果在暴饮暴食后补偿行为与跟踪之间观察到的关联(以及其他观察到的关联)得到复制并被发现具有因果关系,那么在向所有寻求行为改变的年轻成年人提出跟踪食物摄入和/或 PA 的“一刀切”建议时,可能需要谨慎行事。