Hagiwara Yuta, Shimizu Kotoe, Adachi Takuji, Kanai Masashi, Miki Takahiro
Insight Lab., PREVENT Inc., Nagoya, Japan.
Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Digit Health. 2025 Jun 9;11:20552076251347891. doi: 10.1177/20552076251347891. eCollection 2025 Jan-Dec.
Personality traits influence behavioral changes and may impact engagement and outcomes in obesity management programs. However, their role in mobile app-based interventions for obesity remains underexplored. Understanding the relationship between personality traits and health behaviors can inform the design of personalized programs, potentially enhancing adherence and long-term success. Mobile health technologies offer scalable solutions for lifestyle modification, making this investigation particularly relevant.
This study analyzed 2716 participants with a body mass index of 25.0 or higher enrolled in a six-month mobile app-based lifestyle modification program. Personality traits were assessed using the five-factor model, and participants were categorized into resilient, overcontrolled, and undercontrolled prototypes through cluster analysis. App engagement metrics, such as session frequency, usage duration, and weight input rates, were recorded. Weight loss outcomes were measured as the percentage reduction in body weight, calculated by comparing the first and last 14 days of the program. Additional variables, including daily steps, blood pressure, and cholesterol levels, were evaluated to assess overall health changes.
The undercontrolled group exhibited the lowest engagement metrics, including fewer app sessions (2.63 times/day) and a lower weight input rate (63.06%). In contrast, the overcontrolled group achieved the highest weight loss, with a mean reduction of -3.08% compared to -2.55% in the undercontrolled group ( = 0.015). The resilient group demonstrated the highest daily app usage duration (9.09 min/day). Across all groups, no significant differences were observed in blood pressure, daily steps, or cholesterol levels. Cluster analysis confirmed that three prototypes effectively captured behavioral and programmatic differences among participants.
Personality prototypes significantly influence engagement and weight loss in a mobile app-based lifestyle modification support program. These findings highlight the importance of considering personality traits to enhance program design and effectiveness. Further research is required to validate these outcomes across diverse populations and examine the long-term sustainability of behavioral changes.
人格特质会影响行为变化，可能会对肥胖管理项目中的参与度和结果产生影响。然而，它们在基于移动应用程序的肥胖干预措施中的作用仍未得到充分探索。了解人格特质与健康行为之间的关系可为个性化项目的设计提供参考，有可能提高依从性并取得长期成功。移动健康技术为生活方式改变提供了可扩展的解决方案，使得这项研究尤为重要。
本研究分析了2716名体重指数为25.0或更高的参与者，他们参加了一个为期六个月的基于移动应用程序的生活方式改变项目。使用五因素模型评估人格特质，并通过聚类分析将参与者分为坚韧型、过度控制型和控制不足型原型。记录应用程序参与指标，如会话频率、使用时长和体重输入率。体重减轻结果以体重减少的百分比来衡量，通过比较项目的前14天和最后14天来计算。还评估了包括每日步数、血压和胆固醇水平在内的其他变量，以评估整体健康变化。
控制不足组的参与指标最低，包括较少的应用程序会话（每天2.63次）和较低的体重输入率（63.06%）。相比之下，过度控制组的体重减轻最多，平均减少-3.08%，而控制不足组为-2.55%（P = 0.015）。坚韧组的每日应用程序使用时长最高（每天9.09分钟）。在所有组中，血压、每日步数或胆固醇水平均未观察到显著差异。聚类分析证实，三种原型有效地捕捉了参与者之间的行为和项目差异。
人格原型在基于移动应用程序的生活方式改变支持项目中对参与度和体重减轻有显著影响。这些发现凸显了考虑人格特质以加强项目设计和有效性的重要性。需要进一步研究以在不同人群中验证这些结果，并检查行为变化的长期可持续性。
