Middelweerd Anouk, Mollee Julia, Klein Michel McA, Manzoor Adnan, Brug Johannes, Te Velde Saskia J
Department of Epidemiology and Biostatistics, Amsterdam Universitair Medische Centra, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
JMIR Form Res. 2020 Jan 21;4(1):e12538. doi: 10.2196/12538.
Insufficient physical activity (PA) is highly prevalent and associated with adverse health conditions and the risk of noncommunicable diseases. To increase levels of PA, effective interventions to promote PA are needed. Present-day technologies such as smartphones, smartphone apps, and activity trackers offer several possibilities in health promotion.
This study aimed to explore the use and short-term effects of an app-based intervention (Active2Gether) to increase the levels of PA in young adults.
Young adults aged 18-30 years were recruited (N=104) using diverse recruitment strategies. The participants were allocated to the Active2Gether-Full condition (tailored coaching messages, self-monitoring, and social comparison), Active2Gether-Light condition (self-monitoring and social comparison), and the Fitbit-only control condition (self-monitoring). All participants received a Fitbit One activity tracker, which could be synchronized with the intervention apps, to monitor PA behavior. A 12-week quasi-experimental trial was conducted to explore the intervention effects on weekly moderate-to-vigorous PA (MVPA) and relevant behavioral determinants (ie, self-efficacy, outcome expectations, social norm, intentions, satisfaction, perceived barriers, and long-term goals). The ActiGraph wGT3XBT and GT3X+ were used to assess baseline and postintervention follow-up PA.
Compared with the Fitbit condition, the Active2Gether-Light condition showed larger effect sizes for minutes of MVPA per day (regression coefficient B=3.1; 95% CI -6.7 to 12.9), and comparatively smaller effect sizes were seen for the Active2Gether-Full condition (B=1.2; 95% CI -8.7 to 11.1). Linear and logistic regression analyses for the intervention effects on the behavioral determinants at postintervention follow-up showed no significant intervention effects of the Active2Gether-Full and Active2Gether-Light conditions. The overall engagement with the Fitbit activity tracker was high (median 88% (74/84) of the days), but lower in the Fitbit condition. Participants in the Active2Gether conditions reported more technical problems than those in the Fitbit condition.
This study showed no statistically significant differences in MVPA or determinants of MVPA after exposure to the Active2Gether-Full condition compared with the Active2Gether-Light or Fitbit condition. This might partly be explained by the small sample size and the low rates of satisfaction in the participants in the two Active2Gether conditions that might be because of the high rates of technical problems.
身体活动不足极为普遍,且与不良健康状况及非传染性疾病风险相关。为提高身体活动水平,需要有效的干预措施来促进身体活动。诸如智能手机、智能手机应用程序和活动追踪器等现代技术为健康促进提供了多种可能性。
本研究旨在探索基于应用程序的干预措施(Active2Gether)对提高年轻人身体活动水平的使用情况及短期效果。
采用多种招募策略招募了18至30岁的年轻人(N = 104)。参与者被分配到Active2Gether - 完整条件组(定制指导信息、自我监测和社会比较)、Active2Gether - 轻度条件组(自我监测和社会比较)以及仅使用Fitbit的对照组(自我监测)。所有参与者均获得一个可与干预应用程序同步的Fitbit One活动追踪器,以监测身体活动行为。进行了一项为期12周的准实验性试验,以探索干预对每周中度至剧烈身体活动(MVPA)及相关行为决定因素(即自我效能感、结果期望、社会规范、意图、满意度、感知障碍和长期目标)的影响。使用ActiGraph wGT3XBT和GT3X +评估基线及干预后随访时的身体活动情况。
与Fitbit条件组相比,Active2Gether - 轻度条件组在每天MVPA分钟数方面显示出更大的效应量(回归系数B = 3.1;95%置信区间 -6.7至12.9),而Active2Gether - 完整条件组的效应量相对较小(B = 1.2;95%置信区间 -8.7至11.1)。对干预后随访时行为决定因素的干预效果进行的线性和逻辑回归分析显示,Active2Gether - 完整条件组和Active2Gether - 轻度条件组均无显著干预效果。对Fitbit活动追踪器的总体参与度较高(中位数为88%(74/84)的天数),但在Fitbit条件组中较低。Active2Gether条件组的参与者报告的技术问题比Fitbit条件组的参与者更多。
本研究表明,与Active2Gether - 轻度条件组或Fitbit条件组相比,在接触Active2Gether - 完整条件组后,MVPA或MVPA的决定因素在统计学上无显著差异。这可能部分归因于样本量小以及两个Active2Gether条件组参与者的满意度较低,这可能是由于技术问题发生率较高所致。