Kondo Masahiro, Okitsu Teru, Waki Kayo, Yamauchi Toshimasa, Nangaku Masaomi, Ohe Kazuhiko
Department of Planning, Information and Management, University of Tokyo Hospital, Tokyo, Japan.
Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan.
JMIR Form Res. 2022 Mar 24;6(3):e33852. doi: 10.2196/33852.
Mobile health (mHealth) interventions, a more cost-effective approach compared with traditional methods of delivering lifestyle coaching in person, have been shown to improve physical parameters and lifestyle behavior among overweight populations. In Japan, the Specific Health Checkups and Specific Health Guidance (SHG) started in 2008 to treat obesity and abdominal obesity. However, the effectiveness of SHG is limited owing to its in-person counseling. The effect of mHealth on SHG has yet to be demonstrated.
This study aims to determine whether a mobile self-management app (DialBeticsLite) could make the SHG more beneficial among patients with abdominal obesity to achieve a reduction in visceral fat area (VFA).
This study was an open-label, 2-arm, parallel-design randomized controlled trial. We recruited 122 people in September 2017 and randomly assigned them into either the intervention or control group. All participants attended an educational group session that delivered information regarding diet and exercise. In addition, participants in the intervention group were asked to use DialBeticsLite for 3 months. DialBeticsLite facilitated the daily recording of several physical parameters and lifestyle behavior and provided feedback to encourage an improvement in behavior. The primary outcome was the change in VFA from baseline to the 3-month follow-up. Secondary outcomes included changes in both physical and metabolic parameters from baseline to the 3-month follow-up. The Welch 2-tailed t test was conducted to analyze the effects of DialBeticsLite on both the primary and secondary outcomes.
Of the 122 participants recruited, 75 (61.5%) were analyzed because 47 (38.5%) were excluded: 37 (30.3%) because of ineligibility and 10 (8.2%) because of withdrawal of consent. The mean age was 49.3 (SD 6.1) years in the intervention group (41/75, 55%) and 48.5 (SD 5.3) years in the control group (34/75, 45%), and all participants were men, although unintentionally. The baseline characteristics did not differ significantly between the intervention and control groups, except for VFA. The average change of VFA was -23.5 (SD 20.6) cm in the intervention group and +1.9 (SD 16.2) cm in the control group (P<.001). Statistically significant differences were also found for the change of body weight, BMI, and waist circumference. These findings did not change after adjusting for VFA at the baseline. The intervention had no significant effect on any of the metabolic parameters. An exploratory analysis showed significant associations between the change in VFA and steps per day and between the change in VFA and calorie intake per day within the intervention group.
Our findings indicate that an mHealth intervention facilitating the daily monitoring of several physical parameters and lifestyle behavior can be highly effective in inducing visceral fat loss and weight loss among adults eligible for SHG.
UMIN Clinical Trials Registry UMIN000042045; https://tinyurl.com/4vat3v53.
移动健康(mHealth)干预措施相较于传统的亲自提供生活方式指导的方法,是一种更具成本效益的方式,已被证明能改善超重人群的身体参数和生活方式行为。在日本,特定健康检查和特定健康指导(SHG)于2008年启动,用于治疗肥胖和腹型肥胖。然而,由于其面对面咨询的方式,SHG的效果有限。mHealth对SHG的影响尚未得到证实。
本研究旨在确定一款移动自我管理应用程序(DialBeticsLite)是否能使SHG对腹型肥胖患者更有益,从而实现内脏脂肪面积(VFA)的减少。
本研究是一项开放标签、双臂、平行设计的随机对照试验。2017年9月,我们招募了122人,并将他们随机分为干预组或对照组。所有参与者都参加了一个关于饮食和运动信息的教育小组会议。此外,干预组的参与者被要求使用DialBeticsLite三个月。DialBeticsLite有助于日常记录多个身体参数和生活方式行为,并提供反馈以鼓励行为改善。主要结局是从基线到3个月随访时VFA的变化。次要结局包括从基线到3个月随访时身体和代谢参数的变化。采用韦尔奇双尾t检验来分析DialBeticsLite对主要和次要结局的影响。
在招募的122名参与者中,75名(61.5%)被纳入分析,因为47名(38.5%)被排除:37名(30.3%)因不符合条件,10名(8.2%)因撤回同意。干预组的平均年龄为49.3(标准差6.1)岁(41/75,55%),对照组为48.5(标准差5.3)岁(34/75,45%),所有参与者均为男性,尽管是无意的。除VFA外,干预组和对照组的基线特征无显著差异。干预组VFA的平均变化为-23.5(标准差20.6)平方厘米,对照组为+1.9(标准差16.2)平方厘米(P<0.001)。在体重、BMI和腰围的变化方面也发现了统计学上的显著差异。在对基线时的VFA进行调整后,这些结果没有改变。干预对任何代谢参数均无显著影响。一项探索性分析显示,干预组内VFA的变化与每日步数以及VFA的变化与每日卡路里摄入量之间存在显著关联。
我们的研究结果表明,一种便于日常监测多个身体参数和生活方式行为的mHealth干预措施,对于符合SHG条件的成年人在内脏脂肪减少和体重减轻方面可能非常有效。
UMIN临床试验注册中心UMIN000042045;https://tinyurl.com/4vat3v53 。