An empirical example of analysis using a two-stage modeling approach: within-subject association of outdoor context and physical activity predicts future daily physical activity levels.
An empirical example of analysis using a two-stage modeling approach: within-subject association of outdoor context and physical activity predicts future daily physical activity levels.
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使用两阶段建模方法进行分析的实证示例：户外环境和身体活动的受试者内关联可以预测未来的日常身体活动水平。
DOI：
10.1093/tbm/ibaa107
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发表时间：
2021
影响因子：
3.6
通讯作者：
Dunton,GenevieveF
中科院分区：
文献类型：
--
作者：
Yang,Chih-Hsiang;Maher,JaclynP;Ponnada,Aditya;Dzubur,Eldin;Nordgren,Rachel;Intille,Stephen;Hedeker,Donald;Dunton,GenevieveF
人与人之间的差异在于瞬间因素（如环境、情绪和认知）对瞬间健康行为的影响程度。然而，迄今为止的统计模型在测试两个瞬时变量之间的关联（即，受试者水平斜率）预测受试者水平结果。本研究展示了一种新的两阶段统计建模策略，该策略能够测试两个瞬时变量之间的受试者水平斜率是否预测受试者水平结果。一个实证案例研究的应用程序，以检查是否有瞬间的中度到剧烈的体力活动（MVPA）水平之间的室外和室内环境中的成年人和这些瞬间的差异是否预测平均每日MVPA水平6个月后的差异。来自多波纵向研究的108名成人提供了4天的生态瞬时评估（基线期间）和加速度计数据（基线和6个月随访时）。使用开源程序（MixWILD）分析多水平数据，以测试基线期间户外环境和MVPA之间的瞬时强度是否与6个月后测量的平均每日MVPA水平相关。在基线期，室外环境中的瞬时MVPA水平高于室内环境（B= 0.07，p <0.001）。在基线期间，在室外（与室内相比）具有更多瞬时MVPA的参与者（即，受试者水平斜率较大）在6个月随访时的每日MVPA较高（B= 0.09，p <0.05）。该经验示例示出了特定上下文（即，户外）和健康行为（即，身体活动）可能有助于将来对该行为的整体参与。所展示的两阶段建模方法在行为医学中具有广泛的应用，可以分析从可穿戴传感器和移动的设备收集的密集纵向数据。
People differ from each other to the extent to which momentary factors, such as context, mood, and cognitions, influence momentary health behaviors. However, statistical models to date are limited in their ability to test whether the association between two momentary variables (i.e., subject-level slopes) predicts a subject-level outcome. This study demonstrates a novel two-stage statistical modeling strategy that is capable of testing whether subject-level slopes between two momentary variables predict subject-level outcomes. An empirical case study application is presented to examine whether there are differences in momentary moderate-to-vigorous physical activity (MVPA) levels between the outdoor and indoor context in adults and whether these momentary differences predict mean daily MVPA levels 6 months later. One hundred and eight adults from a multiwave longitudinal study provided 4 days of ecological momentary assessment (during baseline) and accelerometry data (both at baseline and 6 month follow-up). Multilevel data were analyzed using an open-source program (MixWILD) to test whether momentary strength between outdoor context and MVPA during baseline was associated with average daily MVPA levels measured 6 months later. During baseline, momentary MVPA levels were higher in outdoor contexts as compared to indoor contexts (b= 0.07,p< .001). Participants who had more momentary MVPA when outdoors (vs. indoors) during baseline (i.e., a greater subject-level slope) had higher daily MVPA at the 6 month follow-up (b= 0.09,p< .05). This empirical example shows that the subject-level momentary association between specific context (i.e., outdoors) and health behavior (i.e., physical activity) may contribute to overall engagement in that behavior in the future. The demonstrated two-stage modeling approach has extensive applications in behavioral medicine to analyze intensive longitudinal data collected from wearable sensors and mobile devices.
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