Impact on Step Count by Commitment-based Health Application

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2024 Aug 12

PMID 39133726

Authors

Masaki Takebayashi

Mira Namba

Tatsuya Koyama

Yudai Kaneda

Hiroyuki Kawaguchi

Chiaki Uemura

Megumi Shibuya

Shin Murakami

Hiroshi Fukuda

Hirohide Shibutani

Affiliations

Soon will be listed here.

Abstract

Objective: Prior research has implied that promoting sustaining physical activity through nudges is challenging and boosting health literacy is important for the long-term establishment of behaviors. This study aimed to investigate the effects of commitment-based health application on step count and health literacy.

Methods: A control experiment was conducted involving employees from companies located in Shizuoka Prefecture, Japan. Participants were divided into three groups: the commitment app group (utilizing a commitment-based application "Minchalle," where teams of around five members were randomly assigned to declare a target step count and report daily step count with pictures), the self-commitment group (individuals declaring a target step count and endeavoring on their own), and the control group (no intervention). Changes in step count and health literacy were examined over one month.

Results: A total of 109 employees from 7 companies participated. The changes in step count were an increase of 893 steps for the commitment app group, 243 steps for the self-commitment group, and 178 steps for the control group, with a significant increase in the commitment app group compared to the control group. Regarding health literacy measures, there was significant progress in four items out of five for the commitment app group compared to the control group, and significant progress in one item for the self-commitment group compared to the control group.

Conclusion: Communication within the app teams, such as commitment, sharing photos of their goal achievements and provide encouraging comments to others, functioned as social nudges, suggesting the potential for an immediate increase in step count and long-term behavioral reinforcement through improved health literacy.

References

Hertwig R, Grune-Yanoff T . Nudging and Boosting: Steering or Empowering Good Decisions. Perspect Psychol Sci. 2017; 12(6):973-986. DOI: 10.1177/1745691617702496. View

Coupe N, Peters S, Rhodes S, Cotterill S . The effect of commitment-making on weight loss and behaviour change in adults with obesity/overweight; a systematic review. BMC Public Health. 2019; 19(1):816. PMC: 6591991. DOI: 10.1186/s12889-019-7185-3. View

Ledderer L, Kjaer M, Madsen E, Busch J, Fage-Butler A . Nudging in Public Health Lifestyle Interventions: A Systematic Literature Review and Metasynthesis. Health Educ Behav. 2020; 47(5):749-764. DOI: 10.1177/1090198120931788. View

Tison G, Avram R, Kuhar P, Abreau S, Marcus G, Pletcher M . Worldwide Effect of COVID-19 on Physical Activity: A Descriptive Study. Ann Intern Med. 2020; 173(9):767-770. PMC: 7384265. DOI: 10.7326/M20-2665. View

Landais L, Damman O, Schoonmade L, Timmermans D, Verhagen E, Jelsma J . Choice architecture interventions to change physical activity and sedentary behavior: a systematic review of effects on intention, behavior and health outcomes during and after intervention. Int J Behav Nutr Phys Act. 2020; 17(1):47. PMC: 7140383. DOI: 10.1186/s12966-020-00942-7. View

Martin S, Feldman D, Blumenthal R, Jones S, Post W, McKibben R . mActive: A Randomized Clinical Trial of an Automated mHealth Intervention for Physical Activity Promotion. J Am Heart Assoc. 2015; 4(11). PMC: 4845232. DOI: 10.1161/JAHA.115.002239. View

Ishikawa H, Nomura K, Sato M, Yano E . Developing a measure of communicative and critical health literacy: a pilot study of Japanese office workers. Health Promot Int. 2008; 23(3):269-74. DOI: 10.1093/heapro/dan017. View

Hamaya R, Fukuda H, Takebayashi M, Mori M, Matsushima R, Nakano K . Effects of an mHealth App (Kencom) With Integrated Functions for Healthy Lifestyles on Physical Activity Levels and Cardiovascular Risk Biomarkers: Observational Study of 12,602 Users. J Med Internet Res. 2021; 23(4):e21622. PMC: 8111509. DOI: 10.2196/21622. View

Ikeda N, Saito E, Kondo N, Inoue M, Ikeda S, Satoh T . What has made the population of Japan healthy?. Lancet. 2011; 378(9796):1094-105. DOI: 10.1016/S0140-6736(11)61055-6. View

10.

Schall Jr M, Chen P . Evidence-Based Strategies for Improving Occupational Safety and Health Among Teleworkers During and After the Coronavirus Pandemic. Hum Factors. 2021; 64(8):1404-1411. PMC: 9282942. DOI: 10.1177/0018720820984583. View

11.

Dineen-Griffin S, Garcia-Cardenas V, Williams K, Benrimoj S . Helping patients help themselves: A systematic review of self-management support strategies in primary health care practice. PLoS One. 2019; 14(8):e0220116. PMC: 6675068. DOI: 10.1371/journal.pone.0220116. View

12.

Takebayashi M, Yoshiike N, Koyama T, Toriyabe M, Nakamura H, Takebayashi K . Validation of the most cost-effective nudge to promote workers' regular self-weighing: a cluster randomized controlled trial. Sci Rep. 2022; 12(1):15501. PMC: 9477839. DOI: 10.1038/s41598-022-18916-z. View

13.

Shoghli A, Maleki A, Masjedi M, Hessari M, Khodaei S . The effect of peer-to-peer education on health literacy, knowledge, and adherence to COVID-19 protocols in vulnerable adolescents. BMC Prim Care. 2023; 24(1):18. PMC: 9843949. DOI: 10.1186/s12875-023-01979-w. View