提高自我报告的不活跃成年人身体活动水平的在线干预措施：ONWARDS随机对照试验。
Online interventions to increase physical activity levels in self-reported inactive adults: the ONWARDS randomised controlled trial.
作者信息
Sagelv Edvard H, Manskow Unn Sollid, Antypas Konstantions, Morseth Bente, Aamot Aksetøy Inger-Lise, Nes Bjarne Martens, Gagnon Marie-Pierre, Zanaboni Paolo
机构信息
National Centre for E-health Research, University Hospital of North Norway, Tromso, Norway.
Faculty of Health Sciences, School of Sport Sciences, UiT Arctic University of Norway, Tromsø, Norway.
出版信息
BMJ Open Sport Exerc Med. 2025 Jun 16;11(2):e001816. doi: 10.1136/bmjsem-2023-001816. eCollection 2025.
BACKGROUND
Digital interventions have the potential to increase physical activity in adults with the use of few resources, but evidence of long-term effectiveness is limited. This study aimed to evaluate the effects of three digital interventions on physical activity.
METHODS
183 self-reported inactive adults (<150 min per week of moderate to vigorous physical activity (MVPA)) aged 22-55 years were included in a hybrid type 1 effectiveness-implementation trial over 18 months and were randomised to three fully web-based interventions: (A) activity tracker with the personalised metric Personal Activity Intelligence on a mobile app, (B) group A+home-based online training and (C) group B+online peer support through social media. Physical activity was measured with hip-worn accelerometers (ActiGraph GT3X-BT) at baseline, 6, 12 and 18 months. Outcome measures included MVPA, light and total physical activity, steps, adherence to physical activity recommendations, waist circumference (WC), quality of life, perceived competence for exercise, self-efficacy for exercise, social support and reasons for performing physical activity. Longitudinal changes in outcomes were evaluated using linear mixed models adjusted for baseline values.
RESULTS
Mean MVPA in all groups at baseline was over two times higher than the criteria for inactive and decreased from 69.7 min per day (95% CI: 67.3 to 72.1) to 60.2 min (95% CI: 56.8 to 63.7) through 18 months (p<0.001). No time by group interaction was observed (p=0.97). Similar patterns were observed for light and total physical activity (main effect of time: both p<0.02, time by group interaction: both p>0.59). WC increased from baseline through follow-up (all p<0.001), but with no time by group interaction (all p>0.15).
CONCLUSION
Self-reported physically inactive adults receiving an activity tracker with a mobile app accumulated high physical activity levels at baseline but decreased their activity levels over 18 months. Adding home-based online training and peer support did not provide additional effects.
TRIAL REGISTRATION NUMBER
Prospectively registered, 23 of April 2021, identifier: NCT04526, https://clinicaltrials.gov/ct2/show/NCT04526444.
背景
数字干预措施有可能在资源投入较少的情况下增加成年人的身体活动量，但长期有效性的证据有限。本研究旨在评估三种数字干预措施对身体活动的影响。
方法
183名年龄在22 - 55岁之间、自我报告为身体不活跃（每周中度至剧烈身体活动（MVPA）少于150分钟）的成年人纳入了一项为期18个月的混合型1有效性-实施试验，并被随机分为三种完全基于网络的干预措施：（A）通过移动应用程序使用个性化指标个人活动智能的活动追踪器，（B）A组 + 居家在线培训，以及（C）B组 + 通过社交媒体提供的在线同伴支持。在基线、6个月、12个月和18个月时，使用髋部佩戴的加速度计（ActiGraph GT3X - BT）测量身体活动情况。结局指标包括MVPA、轻度和总身体活动量、步数、对身体活动建议的依从性、腰围（WC）、生活质量、运动感知能力、运动自我效能感、社会支持以及进行身体活动的原因。使用针对基线值进行调整的线性混合模型评估结局指标的纵向变化。
结果
所有组在基线时的平均MVPA比身体不活跃的标准高出两倍多，并且在18个月内从每天69.7分钟（95%置信区间：67.3至72.1）降至60.2分钟（95%置信区间：56.8至63.7）（p < 0.001）。未观察到组间与时间的交互作用（p = 0.97）。在轻度和总身体活动方面也观察到类似模式（时间的主效应：均p < 0.02，组间与时间的交互作用：均p > 0.59）。WC从基线到随访期间有所增加（所有p < 0.001），但未观察到组间与时间的交互作用（所有p > 0.15）。
结论
自我报告身体不活跃的成年人在使用带有移动应用程序的活动追踪器时，在基线时积累了较高的身体活动水平，但在18个月内其活动水平下降。添加居家在线培训和同伴支持并未产生额外效果。
试验注册号
前瞻性注册，2021年4月23日，标识符：NCT04526，https://clinicaltrials.gov/ct2/show/NCT04526444 。
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