Behind the software: The impact of Unobtrusiveness, Goal Setting and persuasive features on BMI

IF 4.1 2区 医学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Medical Informatics Pub Date : 2025-04-01 Epub Date: 2025-01-21 DOI:10.1016/j.ijmedinf.2025.105795
Renata Savian Colvero de Oliveira , Sharon Nabwire , Heta Merikallio , Markku Savolainen , Janne Hukkanen , Harri Oinas-Kukkonen
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Abstract

Background

Studies have demonstrated that interventions targeting weight loss and body mass index (BMI) reduction can be successful, although the specific factors that influence their effectiveness are still unclear. Behavior change support systems (BCSS) are an approach that aims to help users in their efforts to modify their behavior. A useful tool for assessing BCSS is the Persuasive Systems Design model (PSD), where different features and postulates can be employed. However, it is unknown whether the grouping of software features and design principles, along with behavioral traits, provide a better combination to achieve effective BMI reduction.

Objective

This study investigates the impact of PSD features, postulates behind the design, and behavioral traits on BMI reduction after six months of utilizing a mobile health behavior change support system (mHBCSS).

Methods

We examined a subset of 96 individuals from a randomized controlled trial using a mHBCSS for a period of six months. Data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Results

We found that 15.3 % in the variance of BMI reduction was explained by the ability of setting goals. Furthermore, users who perceive a system as highly persuasive are more likely to establish goals (R2 = 0.207). Among PSD features, Dialogue Support and Primary Task Support explained 54.9 % of the variance in Perceived Persuasiveness. In addition, both Dialogue Support and Credibility Support have a mutual effect on Primary Task Support (R2 = 0.685). Finally, the system’s unobtrusiveness explained 41.1 % of the variance in Dialogue Support.

Conclusion

PSD framework and behavior change theories provide significant influence on BMI reduction. Setting a clear and organized objective assists individuals in successfully pursuing their intended results. The findings of this study can help developers and health professionals decide which PSD features and postulates to include to make mHBCSS interventions targeting BMI reduction more effective.
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软件背后:不引人注目,目标设定和说服性特征对BMI的影响。
背景:研究表明,针对体重减轻和身体质量指数(BMI)降低的干预措施是成功的,尽管影响其有效性的具体因素尚不清楚。行为改变支持系统(BCSS)是一种旨在帮助用户努力改变其行为的方法。评估BCSS的一个有用工具是说服系统设计模型(PSD),其中可以使用不同的特征和假设。然而,软件功能和设计原则的分组以及行为特征是否能提供更好的组合来实现有效的BMI降低,目前尚不清楚。目的:本研究探讨使用移动健康行为改变支持系统(mHBCSS)六个月后,PSD特征、设计背后的假设和行为特征对BMI降低的影响。方法:我们在一项随机对照试验中使用mHBCSS检查了96名个体,为期6个月。数据分析采用偏最小二乘结构方程模型(PLS-SEM)。结果:我们发现15.3%的BMI降低方差可以用设定目标的能力来解释。此外,认为系统具有高度说服力的用户更有可能建立目标(R2 = 0.207)。在PSD特征中,对话支持和主要任务支持解释了54.9%的感知说服力差异。此外,对话支持和可信度支持对主要任务支持都有相互作用(R2 = 0.685)。最后,系统的不显眼性解释了41.1%的对话支持差异。结论:PSD框架和行为改变理论对BMI降低有显著影响。设定一个清晰而有组织的目标有助于个人成功地追求预期的结果。本研究的发现可以帮助开发者和卫生专业人员决定哪些PSD特征和假设包括在内,以使mHBCSS干预更有效地降低BMI。
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来源期刊
International Journal of Medical Informatics
International Journal of Medical Informatics 医学-计算机:信息系统
CiteScore
8.90
自引率
4.10%
发文量
217
审稿时长
42 days
期刊介绍: International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings. The scope of journal covers: Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.; Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc. Educational computer based programs pertaining to medical informatics or medicine in general; Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
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