Department of Kinesiology, The Pennsylvania State University.
School of Electrical Engineering & Computer Science, The Pennsylvania State University.
Health Psychol. 2023 Mar;42(3):151-160. doi: 10.1037/hea0001271.
Self-monitoring and behavioral feedback are widely used to help people monitor progress toward daily physical activity goals. Little information exists about the optimal dosing parameters for these techniques or if they are interchangeable in digital physical activity interventions. This study used a within-person experimental design to evaluate associations between the frequency of two different prompt types (one for each technique) and daily physical activity.
Insufficiently active young adults were assigned monthly physical activity goals and wore smartwatches with activity trackers for 3 months. They received zero to six randomly selected and timed watch-based prompts each day, with individual prompts either providing behavioral feedback or prompting the participant to self-monitor.
Physical activity increased significantly over the 3-month period (step counts d = 1.03; moderate-to-vigorous physical activity duration d = 0.99). Mixed linear models revealed that daily step counts were positively associated with the frequency of daily self-monitoring prompts up to approximately three prompts/day (d = 0.22) after which additional prompts provided minimal or reduced benefit. Daily step counts were not associated with the frequency of behavioral feedback prompts. Daily moderate-to-vigorous physical activity was not associated with the frequency of either prompt.
Self-monitoring and behavioral feedback are not interchangeable behavior change techniques in digital physical activity interventions, and only self-monitoring prompts show signs of a dose-response association with physical activity volume. Activity trackers, such as smartwatches and mobile apps, should provide an option to replace behavioral feedback prompts with self-monitoring prompts to promote physical activity among insufficiently active young adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
自我监测和行为反馈被广泛用于帮助人们监测日常身体活动目标的进展情况。关于这些技术的最佳剂量参数或它们在数字身体活动干预中是否可互换的信息很少。本研究使用个体内实验设计来评估两种不同提示类型(每种技术一种)的频率与日常身体活动之间的关联。
活动量不足的年轻成年人被分配每月的身体活动目标,并佩戴带有活动追踪器的智能手表进行 3 个月的监测。他们每天会收到零到六次随机选择和定时的基于手表的提示,每个提示要么提供行为反馈,要么提示参与者进行自我监测。
在 3 个月的时间内,身体活动量显著增加(步数 d = 1.03;中高强度身体活动持续时间 d = 0.99)。混合线性模型显示,每日步数与每日自我监测提示的频率呈正相关,最高可达每日约三个提示(d = 0.22),之后额外的提示提供的益处很小或减少。每日步数与行为反馈提示的频率无关。每日中高强度身体活动与任何提示的频率都无关。
自我监测和行为反馈在数字身体活动干预中不是可互换的行为改变技术,只有自我监测提示显示出与身体活动量呈剂量反应关系的迹象。活动追踪器,如智能手表和移动应用程序,应提供一种选项,用自我监测提示代替行为反馈提示,以促进活动量不足的年轻成年人的身体活动。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。