Valinskas Sarunas, Aleknavicius Kasparas, Jonusas Justinas
Faculty of Medicine, Vilnius University, M. K. Čiurlonio Str. 21, 03101, Vilnius, Lithuania.
Kilo.Health, Antakalnio g. 17, LT 10312, Vilnius, Lithuania.
BMC Nutr. 2022 May 2;8(1):40. doi: 10.1186/s40795-022-00539-2.
The ketogenic diet is one of the oldest diets that has been used for more than a centennial in the clinical setting, and it is gaining popularity as a measure to fight obesity, which is a major predisposing factor for many diseases to manifest, including diabetes mellitus, chronic heart disease, cancer, and others. Thus, we designed this retrospective investigation to determine if users of the mobile application KetoCycle achieved statistically significant weight loss outcomes.
The initial study cohort comprised 12,965 consecutive users who started using KetoCycle between January 2020 and December 2020. The final cohort comprised 10,269 users. The main parameters obtained from the database containing all self-reported data were gender, number of active days (AD), total time of use (TT), height, initial weight, and last recorded weight. The primary outcome of the study was weight loss. Statistical analyses were performed using IBM SPSS Statistics, version 26 (IBM Corp., Armonk, NY, USA). In addition, a standard multiple regression model was created to predict weight loss from significant actions.
A retrospective analysis of KetoCycle user data showed that 87.3% of KetoCycle users lost some of their initial weight. Of those, 1645 users (18.3%) lost more than 10% of their initial body weight, 3528 (39.3%) users lost between 5 and 10% of their initial body weight, and 3796 (42.3%) users lost less than 5% of their body weight. When user activity was taken into account, it was found that active users lost statistically significantly more weight than non-active users (p < 0.05). App engagement was also associated with losing > 5% of initial weight. Using water tracking, weight tracking, and creation of a meals list within KetoCycle statistically significantly predicted weight loss in a multiple regression model.
We concluded that KetoCycle appeared as a promising mobile application suited for weight loss and weight control.
This retrospective chart review study was approved by BRANY IRB in January 2022 (registration ID.: 21-08-564-939).
生酮饮食是最古老的饮食方式之一，在临床环境中已使用了一个多世纪，并且作为对抗肥胖的一种措施正变得越来越流行，肥胖是许多疾病（包括糖尿病、慢性心脏病、癌症等）发生的主要诱发因素。因此，我们设计了这项回顾性调查，以确定移动应用程序KetoCycle的用户是否取得了具有统计学意义的体重减轻结果。
初始研究队列包括2020年1月至2020年12月期间开始使用KetoCycle的12965名连续用户。最终队列包括10269名用户。从包含所有自我报告数据的数据库中获得的主要参数有性别、活跃天数（AD）、使用总时长（TT）、身高、初始体重和最后记录的体重。该研究的主要结果是体重减轻。使用IBM SPSS Statistics 26版（美国纽约州阿蒙克市IBM公司）进行统计分析。此外，还创建了一个标准多元回归模型，以根据显著行为预测体重减轻情况。
对KetoCycle用户数据的回顾性分析表明，87.3%的KetoCycle用户减轻了一些初始体重。其中，1645名用户（18.3%）减轻的体重超过其初始体重的10%，3528名（39.3%）用户减轻的体重在其初始体重的5%至10%之间，3796名（42.3%）用户减轻的体重不到其体重的5%。考虑用户活动情况时，发现活跃用户减轻的体重在统计学上显著多于不活跃用户（p<0.05）。应用参与度也与减轻超过初始体重的5%相关。在多元回归模型中，使用KetoCycle中的水追踪、体重追踪和创建饮食清单在统计学上显著预测了体重减轻。
我们得出结论，KetoCycle似乎是一款有前景的适合减肥和体重控制的移动应用程序。
这项回顾性图表审查研究于2022年1月获得BRANY机构审查委员会批准（注册号：21-08-564-939）。
