Yerrakalva Dharani, Hajna Samantha, Brage Soren, Griffin Simon J
Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Department of Health Sciences, Faculty of Applied Health Sciences, Brock University, St Catharines, ON, Canada.
NPJ Digit Med. 2025 Aug 6;8(1):441. doi: 10.1038/s41746-025-01785-x.
Despite widespread interest in integrating mobile health apps into primary care to prevent and manage physical inactivity-related health conditions, the effectiveness of these apps remains unclear. We quantified the effects of Active 10 (a goal setting and self-monitoring app developed by Public Health England) on brisk and non-brisk walking using a single-group interrupted time-series analysis of individual-level data collected between July 2021 and January 2024. Among Active 10 users (n = 201,668 l; 51.4 ± 14.4 years; 75.4% women) brisk and non-brisk walking increased by 9.0 (95% confidence interval (CI) 8.9, 9.1; 73% above baseline) and 2.6 min/day (95% CI 2.4, 2.8; 9% above baseline), respectively, on the day of app download. Post-download, brisk and non-brisk walking decreased by 0.15 (95% CI -0.17, -0.13) and 0.06 (95% CI -0.08, -0.03) min/day/month, respectively, but remained above baseline. Our findings suggest that Active 10 may be effective in facilitating increases in brisk and non-brisk walking.
尽管人们普遍对将移动健康应用程序整合到初级保健中以预防和管理与身体活动不足相关的健康状况感兴趣，但这些应用程序的有效性仍不明确。我们使用单组中断时间序列分析，对2021年7月至2024年1月收集的个体层面数据进行分析，量化了“活力10分钟”（英国公共卫生部开发的一款目标设定和自我监测应用程序）对轻快步行和非轻快步行的影响。在“活力10分钟”用户中（n = 201,668；51.4±14.4岁；75.4%为女性），在应用程序下载当天，轻快步行和非轻快步行分别增加了9.0分钟/天（95%置信区间（CI）8.9，9.1；比基线高出73%）和2.6分钟/天（95%CI 2.4，2.8；比基线高出9%）。下载后，轻快步行和非轻快步行分别以0.15（95%CI -0.17，-0.13）和0.06（95%CI -0.08，-0.03）分钟/天/月的速度下降，但仍高于基线。我们的研究结果表明，“活力10分钟”可能有效地促进了轻快步行和非轻快步行的增加。
