Using ecologic momentary assessment to measure physical activity during adolescence
Using ecologic momentary assessment to measure physical activity during adolescence
复制标题
DOI：
10.1016/j.amepre.2005.07.020
复制
发表时间：
2005-11-01
影响因子：
5.5
通讯作者：
Floro, JN
中科院分区：
文献类型：
--
作者：
Dunton, GF;Whalen, CK;Floro, JN
目的：检验使用高密度电子生态瞬时评估（EMA）评估体力活动的有效性。 EMA 进一步用于探索青少年体力活动 (PA) 模式的受试者内部和受试者之间的变异性。方法：青少年（n = 526，51% 男性）参加了 9 年级至 12 年级之间大约每 6 个月发生一次的 EMA 波。每波持续 4 天（周四至周日）。使用 Palm III 手持电脑，每个参与者在醒着的时间里每 30 (+/-10) 分钟报告一次他或她的主要活动（例如锻炼、散步、家庭作业）。在 EMA 间隔期间同时评估心率（通过 Polar 心率监测器）和活动计数（通过手腕加速计）。结果：总体而言，日记报告的锻炼和步行的心率和加速计计数高于非体力活动 (p < 0.001)。 EMA 显示，运动时间的典型持续时间比步行时间长（p < 0.05）。各波次之间（即整个高中）的步行和锻炼率比波内（即 4 天的监测）更加一致，这很可能是因为与周末相比，工作日的步行和锻炼率明显更高（p < 0.001）。女孩的平均步行率高于男孩，运动的情况则相反。 9 年级至 12 年级期间步行和锻炼的比率稳步下降（p < 0.001）。结论：通过 EMA 报告的身体活动与客观活动指标相对应。 EMA 产生了有关 PA 的人内变异性的信息，而这些信息无法通过传统的自我报告工具轻松获得。鉴于其同时评估重要生理、心理和背景因素的潜力，EMA 为研究青少年身体活动提供了一种有前途的方法。
Objective: Examine the validity of using high-density electronic ecologic momentary assessment (EMA) to assess physical activity. EMA was further used to explore within- and between-subject variability in adolescent physical activity (PA) patterns.Methods: Adolescents (n = 526, 51% male) participated in EMA waves occurring approximately every 6 months between the 9th and 12th grade. Each wave extended over 4 consecutive days (Thursday to Sunday). Using a Palm III handheld computer, each participant reported his or her primary activity (e.g., exercise, walking, homework) every 30 ( +/- 10) minutes during waking hours. Heart rate (via Polar heart rate monitor) and activity counts (via wrist accelerometer) were simultaneously assessed during the EMA intervals.Results: Overall, heart rates and accelerometer counts were greater for diary-reported exercise and walking than for nonphysical activities (p's < 0.001). EMA revealed that the typical duration of exercise sessions was longer than walking sessions (p < 0.05). Rates of walking and exercise were more consistent between waves (i.e., across high school) than within waves (i.e., across the 4 days of monitoring), most likely due to the significantly higher rates of walking and exercise occurring on weekdays as compared to weekend days (p's < 0.001). Average rates of walking were greater for girls than boys, and the reverse was true for exercise. Rates of both walking and exercise declined steadily between 9th and 12th grade (p's < 0.001).Conclusions: Physical activity reported via EMA corresponded to objective activity indicators. EMA yielded information about within-person variability in PA that cannot be obtained readily from traditional self-report instruments. Given its potential for simultaneously assessing important physiologic, psychological, and contextual factors, EMA presents a promising approach to studying adolescent physical activity.