Finkelstein Joseph, Bedra McKenzie, Li Xuan, Wood Jeffrey, Ouyang Pamela
Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Stud Health Technol Inform. 2015;216:89-92.
Recent studies demonstrated that the duration of inactivity (sedentary state) is independently associated with increased risk of cardiovascular disease. Our goal was to develop the technology that can measure the amount of inactivity in real time, remind a person that a preprogrammed period of inactivity has occurred and encourage a period of activity, and provide web-based feedback with tailored information to the participant and investigators. Once it was developed, we carried out a pilot study in a group of sedentary overweight women. The objective of the study was to assess potential of the mobile app to reduce inactivity in our target population. A randomized crossover design was employed with study subjects randomly assigned to a 4-week each "message-on" and "message-off" periods. Out of 30 enrolled subjects, 27 completed the study. The average age of particpants was 52±12; BMI: 37±6; 47% were white and 47% were African American. Overall, inactivity was significantly lower (p<0.02) during "message-on" periods (24.6%) as compared to the "message-off" periods (30.4%). We conluded that mobile app monitoring inactivity and providing a real-time notification when inactivity period exceeds healthy limits was able to significantly reduce inactivity periods in overweight sedentary women.
最近的研究表明,久坐不动(静态状态)的时长与心血管疾病风险增加独立相关。我们的目标是开发一种技术,能够实时测量久坐时间,在预设的久坐时间段结束时提醒个人并鼓励其进行一段活动,同时为参与者和研究人员提供基于网络的定制化反馈信息。该技术开发完成后,我们在一组久坐的超重女性中进行了一项试点研究。该研究的目的是评估这款移动应用在我们的目标人群中减少久坐行为的潜力。采用随机交叉设计,研究对象被随机分配到为期4周的“消息开启”和“消息关闭”阶段。在30名登记的受试者中,27人完成了研究。参与者的平均年龄为52±12岁;体重指数(BMI)为37±6;47%为白人,47%为非裔美国人。总体而言,与“消息关闭”阶段(30.4%)相比,“消息开启”阶段的久坐时间显著更低(p<0.02)(24.6%)。我们得出结论,移动应用监测久坐行为并在久坐时间超过健康限度时提供实时通知,能够显著减少超重久坐女性的久坐时长。