Department of Nutrition and Food Technology, Faculty of Agriculture, The University of Jordan, Amman 11942, Jordan.
Department of Nutrition and Food Science, Faculty of Agriculture and Life Science, Texas A&M University, College Station, TX 5429-3011, USA.
Int J Environ Res Public Health. 2022 Jun 13;19(12):7228. doi: 10.3390/ijerph19127228.
Using m-Health apps can provide researchers and others with an effective way for improving physical activity (PA) and healthy lifestyle behaviors. The promotion of health should move from a model focused on the physical and biological basis of illness and towards a focus on the behavioral changes that support health. Therefore, the aims of the current study were to improve PA (step-counts) and body weight using a theory-based m-Health app. A 12-week randomized treatment trial was carried out at Texas A&M University, Texas, college station. College students (n = 130) were recruited. They were randomized in an equal ratio of 1:1 to intervention (m-Health app) (n = 65) and control (n = 65) conditions. The response rate was (87.6%). Both groups utilized a Smartphone app. The intervention group received PA goals of (10,000 steps/day), using an m-Health app. The control group was provided with information related to daily recommended PA levels. The primary change was daily step count between the baseline and follow-up. The secondary outcome was the body mass index (BMI). Descriptive statistics were used to summarize the baseline differences between the control and intervention groups. Independent sample t-test were used for comparison between the intervention and control groups. Post-intervention PAs were higher for the intervention group (mean = 54,896.) vs. control group (mean = 45,530.12; p < 0.05). The intervention group’s step-counts increased significantly (pre-mean = 40,320.38 steps per week; post-mean = 54,896.27 steps per week, p < 0.05). The body-weight changes were significant among the intervention group (p < 0.05). m-Health apps can increase PA and improve body weight, with goal setting and feedback as key intervention components. Future studies should personalize PA goals and feedback.
使用移动健康 (m-Health) 应用程序可以为研究人员和其他人员提供一种有效方法，以提高身体活动 (PA) 和健康生活方式行为。促进健康应该从关注疾病的生理和生物学基础的模式转变为关注支持健康的行为改变。因此，本研究的目的是使用基于理论的移动健康应用程序提高 PA (步数) 和体重。在德克萨斯 A&M 大学德克萨斯州大学城进行了一项为期 12 周的随机治疗试验。招募了大学生 (n = 130)。他们按照 1:1 的比例随机分为干预 (移动健康应用程序) (n = 65) 和对照组 (n = 65)。回应率为 (87.6%)。两组都使用智能手机应用程序。干预组使用移动健康应用程序设定 PA 目标 (每天 10,000 步)。对照组提供与每日推荐 PA 水平相关的信息。主要变化是从基线到随访的每日步数。次要结果是体重指数 (BMI)。描述性统计用于总结对照组和干预组之间的基线差异。独立样本 t 检验用于比较干预组和对照组之间的差异。干预组的 PA 高于对照组 (均值 = 54,896 步)。干预组的步幅显著增加 (前均值 = 40,320.38 步/周; 后均值 = 54,896.27 步/周，p < 0.05)。干预组的体重变化显著 (p < 0.05)。移动健康应用程序可以增加 PA 并减轻体重，目标设定和反馈是关键的干预因素。未来的研究应该个性化 PA 目标和反馈。
