Physical Activity Dynamics During a Digital Messaging Intervention Changed After the Pandemic Declaration.
Physical Activity Dynamics During a Digital Messaging Intervention Changed After the Pandemic Declaration.
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DOI：
10.1093/abm/kaac051
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发表时间：
2022-11-05
影响因子：
3.8
通讯作者：
Conroy, David E.
中科院分区：
文献类型：
--
作者：
Hojjatinia, Sahar;Lee, Alexandra M.;Hojjatinia, Sarah;Lagoa, Constantino M.;Brunke-Reese, Deborah;Conroy, David E.
COVID-19 大流行对身体活动产生了不利影响，但人们对大流行宣布后的环境变化如何影响人们身体活动的动态或他们对促进身体活动的微观干预措施的反应知之甚少。本文探讨了 COVID-19 大流行对数字信息干预的身体活动反应动态的影响。 2019 年 11 月至 2020 年 1 月期间招募了活动不足的年轻人（18-29 岁；N = 22），并佩戴 Fitbit 智能手表 6 个月。他们每天通过智能手机应用程序通知收到 0-6 条消息，这些消息是从三个内容库（多动、少坐和励志名言）中随机选择的。来自控制系统工程的系统识别技术被用来识别针对 2020 年 3 月 13 日宣布大流行之前和之后的消息的特定于人的体力活动动态模型。宣布大流行之后，工作日的每日步数显着减少（科恩的 d = ‐1.40），但周末则没有（d = ‐0.26）。描述身体活动的平均总体反应速度（主极幅度）在工作日 (d = ‐0.18) 或周末 (d = ‐0.21) 都没有显着变化。相比之下，从宣布大流行之前到之后，干预反应的具体特征的排序一致性有限。在截然不同的环境背景（和参与者）中推广行为动力学模型可能会导致及时体育活动干预的决策规则存在缺陷。当环境发生变化时，建议对数字消息进行基于模型的定期调整，以适应特定于个人的决策规则（即持续调整干预）。大流行降低了体力活动水平。来自活动不足的年轻人的新数据表明，它还改变了对促进身体活动的微观干预的行为反应动态。
The COVID-19 pandemic adversely impacted physical activity, but little is known about how contextual changes following the pandemic declaration impacted either the dynamics of people’s physical activity or their responses to micro-interventions for promoting physical activity. This paper explored the effect of the COVID-19 pandemic on the dynamics of physical activity responses to digital message interventions. Insufficiently-active young adults (18–29 years; N = 22) were recruited from November 2019 to January 2020 and wore a Fitbit smartwatch for 6 months. They received 0–6 messages/day via smartphone app notifications, timed and selected at random from three content libraries (Move More, Sit Less, and Inspirational Quotes). System identification techniques from control systems engineering were used to identify person-specific dynamical models of physical activity in response to messages before and after the pandemic declaration on March 13, 2020. Daily step counts decreased significantly following the pandemic declaration on weekdays (Cohen’s d = ‐1.40) but not on weekends (d = ‐0.26). The mean overall speed of the response describing physical activity (dominant pole magnitude) did not change significantly on either weekdays (d = ‐0.18) or weekends (d = ‐0.21). In contrast, there was limited rank-order consistency in specific features of intervention responses from before to after the pandemic declaration. Generalizing models of behavioral dynamics across dramatically different environmental contexts (and participants) may lead to flawed decision rules for just-in-time physical activity interventions. Periodic model-based adaptations to person-specific decision rules (i.e., continuous tuning interventions) for digital messages are recommended when contexts change. The pandemic reduced physical activity levels. New data from insufficiently-active young adults' show that it also changed the dynamics of behavioral responses to micro-interventions promoting physical activity.
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DOI：
10.1097/00005768-199805000-00021
发表时间：
1998-05-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Freedson, PS;Melanson, E;Sirard, J
通讯作者：
Sirard, J
影响因子：
3.7
作者：
Chevance G;Baretta D;Heino M;Perski O;Olthof M;Klasnja P;Hekler E;Godino J
通讯作者：
Godino J
影响因子：
2.8
作者：
Dunton GF;Wang SD;Do B;Courtney J
通讯作者：
Courtney J
影响因子：
13.8
作者：
Du, Yang;Liu, Buyun;Bao, Wei
通讯作者：
Bao, Wei
影响因子：
3.4
作者：
Conroy, David E.;Hojjatinia, Sarah;Smyth, Joshua M.
通讯作者：
Smyth, Joshua M.