Han Myeunghee, Rhee Sang Youl
Department of Nursing, Dongyang University, Yeongju, Korea.
Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
J Obes Metab Syndr. 2021 Dec 30;30(4):354-364. doi: 10.7570/jomes21014.
World Health Organization reports that over 1.9 billion adults are obese. Studies have found that people who reduce their body weight by 5% experience considerable health benefits. Currently, mobile health (mHealth) applications (apps) show effectiveness in body weight reduction. The present study aimed to explore the effectiveness of a popular mHealth app in 5% body weight reduction and to identify factors that affect 5% body weight reduction in obese adults. We investigated the time it took users to achieve 5% body weight reduction according to usage characteristics and factors influencing this period of time.
This study was a secondary data analysis using data from 23,682 commercial mHealth app users. For analysis, logistic regressions, Kaplan-Meier estimators, log-rank tests, and Cox regressions were used.
Variables in user characteristics including age (odds ratio [OR], 0.976; <0.001), male (OR, 1.226; <0.001), initial body mass index (OR, 1.009; <0.001), frequency of data entry for body weight (OR, 1.004; <0.001), frequency of exercise (OR, 1.002; <0.001), and dinner intake (OR, 1.004; <0.001) made significant contributions in predicting 5% weight reduction in the study cohort. Users who were obese and who more frequently entered their body weight, exercise, and dietary intake data reduced 5% body weight much sooner than other users. Data entry regarding initial body weight (exponentiation of the B coefficient [Exp(B)], 1.002; <0.001), frequency in body weight entry (Exp(B), 1,001; <0.001), dinner intake (Exp(B), 1.003; <0.001), and evening snack intake (Exp(B), 1.001; <0.001) significantly contributed to predicting the time needed to achieve a 5% body weight reduction in users.
For 5% body weight reduction, mHealth apps are promising tools. Users who frequently monitor their health-related behaviors can expect a 5% reduction in body weight in a short period of time.
世界卫生组织报告称，超过19亿成年人肥胖。研究发现，体重减轻5%的人会获得显著的健康益处。目前，移动健康（mHealth）应用程序（应用）在减轻体重方面显示出有效性。本研究旨在探讨一款流行的移动健康应用在减轻5%体重方面的有效性，并确定影响肥胖成年人减轻5%体重的因素。我们根据使用特征和影响这段时间的因素，调查了用户减轻5%体重所需的时间。
本研究是一项对23682名商业移动健康应用用户的数据进行的二次数据分析。分析使用了逻辑回归、Kaplan-Meier估计量、对数秩检验和Cox回归。
用户特征变量包括年龄（优势比[OR]，0.976；<0.001）、男性（OR，1.226；<0.001）、初始体重指数（OR，1.009；<0.001）、体重数据录入频率（OR，1.004；<0.001）、运动频率（OR，1.002；<0.001）和晚餐摄入量（OR，1.004；<0.001）在预测研究队列中减轻5%体重方面有显著贡献。肥胖且更频繁录入体重、运动和饮食摄入数据的用户比其他用户更快减轻5%的体重。关于初始体重的数据录入（B系数的指数[Exp(B)]，1.002；<0.001）、体重录入频率（Exp(B)，1.001；<0.001）、晚餐摄入量（Exp(B)，1.003；<0.001）和夜间零食摄入量（Exp(B)，1.001；<0.001）对预测用户减轻5%体重所需时间有显著贡献。
对于减轻5%的体重，移动健康应用是很有前景的工具。经常监测与健康相关行为的用户有望在短时间内减轻5%的体重。
