Irwin Brandon, Kurz Daniel, Chalin Patrice, Thompson Nicholas
Digital Physical Activity Laboratory, Department of Kinesiology, Kansas State University, Manhattan, KS, United States.
J Med Internet Res. 2016 May 6;18(4):e87. doi: 10.2196/jmir.5342.
Emerging technologies (ie, mobile phones, Internet) may be effective tools for promoting physical activity (PA). However, few interventions have provided effective means to enhance social support through these platforms. Face-to-face programs that use group dynamics-based principles of behavior change have been shown to be highly effective in enhancing social support through promoting group cohesion and PA, but to date, no studies have examined their effects in Web-based programs.
The aim was to explore proof of concept and test the efficacy of a brief, online group dynamics-based intervention on PA in a controlled experiment. We expected that the impact of the intervention on PA would be moderated by perceptions of cohesion and the partner's degree of presence in the online media.
Participants (n=135) were randomized into same-sex dyads and randomly assigned to one of four experimental conditions: standard social support (standard), group dynamics-based-high presence, group dynamics-based-low presence, or individual control. Participants performed two sets of planking exercises (pre-post). Between sets, participants in partnered conditions interacted with a virtual partner using either a standard social support app or a group dynamics-based app (group dynamics-based-low presence and group dynamics-based-high presence), the latter of which they participated in a series of online team-building exercises. Individual participants were given an equivalent rest period between sets. To increase presence during the second set, participants in the group dynamics-based-high presence group saw a live video stream of their partner exercising. Perceptions of cohesion were measured using a modified PA Group Environment Questionnaire. Physical activity was calculated as the time persisted during set 2 after controlling for persistence in set 1.
Perceptions of cohesion were higher in the group dynamics-based-low presence (overall mean 5.81, SD 1.04) condition compared to the standard (overall mean 5.04, SD 0.81) conditions ( P=.006), but did not differ between group dynamics-based-low presence and group dynamics-based-high presence (overall mean 5.42, SD 1.07) conditions ( P=.25). Physical activity was higher in the high presence condition (mean 64.48, SD 20.19, P=.01) than all other conditions (mean 53.3, SD 17.35).
A brief, online group dynamics-based intervention may be an effective method of improving group cohesion in virtual PA groups. However, it may be insufficient on its own to improve PA.
新兴技术(如手机、互联网)可能是促进身体活动(PA)的有效工具。然而,很少有干预措施能通过这些平台提供增强社会支持的有效手段。基于群体动力学行为改变原则的面对面项目已被证明在通过促进群体凝聚力和身体活动来增强社会支持方面非常有效,但迄今为止,尚无研究考察其在基于网络的项目中的效果。
旨在通过一项对照实验探索概念验证,并测试一种简短的、基于在线群体动力学的干预措施对身体活动的效果。我们预期该干预对身体活动的影响会受到凝聚力感知以及在线媒体中伙伴在场程度的调节。
参与者(n = 135)被随机分成同性对子,并随机分配到四个实验条件之一:标准社会支持(标准组)、基于群体动力学的高在场组、基于群体动力学的低在场组或个体对照组。参与者进行两组平板支撑练习(前后测)。在两组练习之间,配对条件下的参与者使用标准社会支持应用程序或基于群体动力学的应用程序(基于群体动力学的低在场组和基于群体动力学的高在场组)与虚拟伙伴互动,后者参与一系列在线团队建设练习。个体参与者在两组练习之间有同等的休息时间。为了在第二组练习中增加在场感,基于群体动力学的高在场组的参与者观看了他们伙伴锻炼的实时视频流。使用修改后的身体活动群体环境问卷来测量凝聚力感知。身体活动量通过在控制第一组练习持续时间后计算第二组练习持续的时间来得出。
与标准组(总体均值5.04,标准差0.81)相比,基于群体动力学的低在场组(总体均值5.81,标准差1.04)的凝聚力感知更高(P = 0.006),但基于群体动力学的低在场组与基于群体动力学的高在场组(总体均值5.42,标准差1.07)之间没有差异(P = 0.25)。高在场条件下的身体活动量(均值64.48,标准差20.19,P = 0.01)高于所有其他条件(均值53.3,标准差17.35)。
一种简短的、基于在线群体动力学的干预措施可能是提高虚拟身体活动群体中群体凝聚力的有效方法。然而,仅靠它可能不足以改善身体活动。