Faculty of Health and Sport Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan.
Research Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute of Gerontology, Itabashi-ku, Tokyo 173-0015, Japan.
Nutrients. 2022 Nov 2;14(21):4608. doi: 10.3390/nu14214608.
Mobile applications are increasingly used in healthcare. We have developed a smartphone healthcare application, , that can register daily diet, exercise, mood, and sleep quality, calculate dietary intake, and provide advice using artificial intelligence technology. This 3-month randomized controlled trial tested the hypothesis that could promote body weight reduction in Japanese adults with overweight or obesity. We recruited office workers as participants. The key eligibility criteria were an age of 20-65 years and a body mass index of 23-40 kg/m. The primary outcome was body weight change over 3 months. We enrolled 141 participants and randomly assigned them to the intervention ( = 72) and control ( = 69) groups. The intervention group used , and the control group did not receive any intervention. The change in body weight was -2.4 ± 4.0 kg and -0.7 ± 3.3 kg in the intervention and control groups, respectively. An analysis of covariance adjusted for related variables showed a significant between-group difference in body weight change (-1.60 kg; 95% confidence interval -2.83 to -0.38; = 0.011). The present study suggests that effectively promotes weight loss.
移动应用程序在医疗保健领域的应用日益广泛。我们开发了一款智能手机医疗应用程序, ,可以记录日常饮食、运动、情绪和睡眠质量,使用人工智能技术计算饮食摄入量并提供建议。这项为期 3 个月的随机对照试验检验了这样一个假设,即 可以促进超重或肥胖的日本成年人减轻体重。我们招募了上班族作为参与者。主要入选标准为年龄 20-65 岁,体重指数为 23-40 kg/m。主要结局指标是 3 个月内体重变化。我们共招募了 141 名参与者,并将他们随机分配到干预组(n=72)和对照组(n=69)。干预组使用 ,对照组未接受任何干预。干预组和对照组的体重变化分别为-2.4±4.0kg 和-0.7±3.3kg。对相关变量进行协方差分析显示,体重变化的组间差异具有统计学意义(-1.60kg;95%置信区间-2.83 至-0.38;P=0.011)。本研究表明, 有效促进了体重减轻。