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The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study

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 asse...

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Autores principales: Eguchi, Akifumi, Kawamura, Yumi, Kawashima, Takayuki, Ghaznavi, Cyrus, Ishimura, Keiko, Kohsaka, Shun, Matsuo, Satoru, Mizuno, Shinichiro, Sasaki, Yuki, Takahashi, Arata, Tanoue, Yuta, Yoneoka, Daisuke, Miyata, Hiroaki, Nomura, Shuhei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666009/
https://www.ncbi.nlm.nih.gov/pubmed/37938885
http://dx.doi.org/10.2196/48435
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author Eguchi, Akifumi
Kawamura, Yumi
Kawashima, Takayuki
Ghaznavi, Cyrus
Ishimura, Keiko
Kohsaka, Shun
Matsuo, Satoru
Mizuno, Shinichiro
Sasaki, Yuki
Takahashi, Arata
Tanoue, Yuta
Yoneoka, Daisuke
Miyata, Hiroaki
Nomura, Shuhei
author_facet Eguchi, Akifumi
Kawamura, Yumi
Kawashima, Takayuki
Ghaznavi, Cyrus
Ishimura, Keiko
Kohsaka, Shun
Matsuo, Satoru
Mizuno, Shinichiro
Sasaki, Yuki
Takahashi, Arata
Tanoue, Yuta
Yoneoka, Daisuke
Miyata, Hiroaki
Nomura, Shuhei
author_sort Eguchi, Akifumi
collection PubMed
description 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.
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spelling pubmed-106660092023-11-08 The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study Eguchi, Akifumi Kawamura, Yumi Kawashima, Takayuki Ghaznavi, Cyrus Ishimura, Keiko Kohsaka, Shun Matsuo, Satoru Mizuno, Shinichiro Sasaki, Yuki Takahashi, Arata Tanoue, Yuta Yoneoka, Daisuke Miyata, Hiroaki Nomura, Shuhei JMIR Form Res Original Paper 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. JMIR Publications 2023-11-08 /pmc/articles/PMC10666009/ /pubmed/37938885 http://dx.doi.org/10.2196/48435 Text en ©Akifumi Eguchi, Yumi Kawamura, Takayuki Kawashima, Cyrus Ghaznavi, Keiko Ishimura, Shun Kohsaka, Satoru Matsuo, Shinichiro Mizuno, Yuki Sasaki, Arata Takahashi, Yuta Tanoue, Daisuke Yoneoka, Hiroaki Miyata, Shuhei Nomura. Originally published in JMIR Formative Research (https://formative.jmir.org), 08.11.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Eguchi, Akifumi
Kawamura, Yumi
Kawashima, Takayuki
Ghaznavi, Cyrus
Ishimura, Keiko
Kohsaka, Shun
Matsuo, Satoru
Mizuno, Shinichiro
Sasaki, Yuki
Takahashi, Arata
Tanoue, Yuta
Yoneoka, Daisuke
Miyata, Hiroaki
Nomura, Shuhei
The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study
title The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study
title_full The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study
title_fullStr The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study
title_full_unstemmed The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study
title_short The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study
title_sort efficacy of an mhealth app in facilitating weight loss among japanese fitness center members: regression analysis study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666009/
https://www.ncbi.nlm.nih.gov/pubmed/37938885
http://dx.doi.org/10.2196/48435
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