Department of Bromatology and Food Technology, University of Córdoba, Córdoba, Spain.
Department of Nursing, School of Medicine and Nursing, University of Córdoba, Córdoba, Spain.
JMIR Mhealth Uhealth. 2020 Feb 12;8(2):e13747. doi: 10.2196/13747.
Technology-in particular, access to the Internet from a mobile device-has forever changed the way we relate to others and how we behave in our daily life settings. In recent years, studies have been carried out to analyze the effectiveness of different actions via mobile phone in the field of health: telephone calls, short message service (SMS), telemedicine, and, more recently, the use of push notifications. We have continued to explore ways to increase user interaction with mobile apps, one of the pending subjects in the area of mHealth. By analyzing the data produced by subjects during a clinical trial, we were able to extract behavior patterns and, according to them, design effective protocols in weight loss programs.
A clinical trial was proposed to (1) evaluate the efficacy of push notifications in an intervention aimed at improving the body composition of adult women who are overweight or obese, through a dietary procedure, and (2) analyze the evolution of body composition based on push notifications and prescribed physical activity (PA).
A two-arm randomized controlled trial was carried out. A sample size of 117 adult obese women attended a face-to-face, 30-minute consultation once a week for 6 months. All patients were supplied with an app designed for this study and a pedometer. The control group did not have access to functionalities related to the self-monitoring of weight at home, gamification, or prescription of PA. The intervention group members were assigned objectives to achieve a degree of compliance with diet and PA through exclusive access to specific functionalities of the app and push notifications. The same diet was prescribed for all patients. Three possible PA scenarios were studied for both the control and intervention groups: light physical activity (LPA), moderate physical activity (MPA), and intense physical activity (IPA). For the analysis of three or more means, the analysis of variance (ANOVA) of repeated means was performed to evaluate the effects of the intervention at baseline and at 3 and 6 months.
Receiving notifications during the intervention increased body fat loss (mean -12.9% [SD 6.7] in the intervention group vs mean -7.0% [SD 5.7] in the control group; P<.001) and helped to maintain muscle mass (mean -0.8% [SD 4.5] in the intervention group vs mean -3.2% [SD 2.8] in the control group; P<.018). These variations between groups led to a nonsignificant difference in weight loss (mean -7.9 kg [SD 3.9] in the intervention group vs mean -7.1 kg [SD 3.4] in the control group; P>.05).
Push notifications have proven effective in the proposed weight loss program, leading women who received them to achieve greater loss of fat mass and a maintenance or increase of muscle mass, specifically among those who followed a program of IPA. Future interventions should include a longer evaluation period; the impact of different message contents, as well as message delivery times and frequency, should also be researched.
ClinicalTrials.gov NCT03911583; https://www.clinicaltrials.gov/ct2/show/NCT03911583.
技术——尤其是通过移动设备访问互联网——已经彻底改变了我们与他人的联系方式以及在日常生活环境中的行为方式。近年来,已经开展了研究来分析通过手机在健康领域中不同措施的有效性:电话、短信服务(SMS)、远程医疗,以及最近使用推送通知。我们一直在探索增加用户与移动应用程序互动的方法,这是移动医疗领域中尚未解决的课题之一。通过分析临床试验中受试者产生的数据,我们能够提取行为模式,并根据这些模式设计减肥计划中的有效方案。
提出一项临床试验,(1)评估推送通知在针对超重或肥胖成年女性的改善身体成分的干预措施中的功效,通过饮食程序进行,(2)根据推送通知和规定的身体活动(PA)分析身体成分的演变。
进行了一项双臂随机对照试验。117 名肥胖成年女性参加了一次面对面、30 分钟的咨询,每周一次,持续 6 个月。所有患者都提供了一个为此项研究设计的应用程序和计步器。对照组无法在家中访问与体重自我监测、游戏化或规定 PA 相关的功能。干预组成员被分配了目标,通过专门访问应用程序的特定功能和推送通知来实现饮食和 PA 方面的一定程度的依从性。为所有患者开出了相同的饮食方案。对于对照组和干预组,研究了三种可能的 PA 场景:低强度体力活动(LPA)、中等强度体力活动(MPA)和高强度体力活动(IPA)。对于三个或更多平均值的分析,采用重复平均值方差分析(ANOVA)来评估干预在基线和 3 个月和 6 个月时的效果。
在干预期间接收通知有助于增加体脂流失(干预组的平均 -12.9%[SD 6.7],对照组为平均 -7.0%[SD 5.7];P<.001)和维持肌肉质量(干预组的平均 -0.8%[SD 4.5],对照组为平均 -3.2%[SD 2.8];P<.018)。这些组间差异导致体重减轻方面无显著差异(干预组平均 -7.9kg[SD 3.9],对照组为平均 -7.1kg[SD 3.4];P>.05)。
推送通知在提出的减肥计划中被证明是有效的,使接受通知的女性实现了更大的脂肪量流失和肌肉量的维持或增加,特别是在那些遵循 IPA 计划的女性中。未来的干预措施应包括更长的评估期;还应研究不同消息内容、消息传递时间和频率的影响。
ClinicalTrials.gov NCT03911583;https://www.clinicaltrials.gov/ct2/show/NCT03911583。