TY  - JOUR
AU  - Eguchi, Akifumi
AU  - Kawamura, Yumi
AU  - Kawashima, Takayuki
AU  - Ghaznavi, Cyrus
AU  - Ishimura, Keiko
AU  - Kohsaka, Shun
AU  - Matsuo, Satoru
AU  - Mizuno, Shinichiro
AU  - Sasaki, Yuki
AU  - Takahashi, Arata
AU  - Tanoue, Yuta
AU  - Yoneoka, Daisuke
AU  - Miyata, Hiroaki
AU  - Nomura, Shuhei
PY  - 2023
DA  - 2023/11/8
TI  - The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study
JO  - JMIR Form Res
SP  - e48435
VL  - 7
KW  - digital health
KW  - gym attendance
KW  - Japan
KW  - real-world data
KW  - smartphone application
KW  - weight loss
AB  - Background: Self-tracking smartphone apps have emerged as promising tools to encourage healthy behaviors. In this longitudinal study, we used gym use data from members of a major fitness club that operates gyms throughout Japan from January 2014 to December 2019. Objective: Our objective was to assess the extent to which a health and fitness self-tracking mobile app introduced to gym members on January 1, 2018, contributed to their weight loss. The app allows users to input information regarding diet, sleep, weight, and gym exercise so that they can receive personalized feedback from an artificial intelligence chatbot to improve their health behaviors. Methods: We used linear regression to quantify the association between app use and weight loss. The primary outcome of the study was the weight loss achieved by each gym user, which was calculated as the difference between their initial and final weights in kilograms, as recorded in the app. Individuals who did not attend the gym or failed to use the mobile app at least twice during the study period were excluded from the analysis. The model accounted for age, gender, distance between the gym and the member’s residence, average weekly number of times a member used the gym, user’s gym membership length in weeks, average weekly number of times a member input information into the app, and the number of weeks that the app was used at least once. Results: Data from 26,589 participants were analyzed. Statistically significant associations were detected between weight loss and 2 metrics related to app use: the average weekly frequency of use and the total number of weeks in which the app was used at least once. One input per week was found to be associated with a loss of 62.1 (95% CI 53.8-70.5) g, and 1 week of app use was associated with 21.7 (95% CI 20.5-22.9) g of weight loss from the day of the first input to that of the final input to the app. Furthermore, the average number of times that a member used the gym weekly was also shown to be statistically significantly associated with weight loss: 1 use per week was associated with 255.5 (95% CI 228.5-282.6) g of weight loss. Conclusions: This empirical study demonstrated a significant association between weight loss among gym members and not only the frequency of weekly gym use but also the use of a health and fitness self-tracking app. However, further work is needed to examine the mechanisms through which mobile apps affect health behaviors and to identify the specific app features that are most effective in promoting weight loss. 
SN  - 2561-326X
UR  - https://formative.jmir.org/2023/1/e48435
UR  - https://doi.org/10.2196/48435
UR  - http://www.ncbi.nlm.nih.gov/pubmed/37938885
DO  - 10.2196/48435
ID  - info:doi/10.2196/48435
ER  -