Analysis of willingness to use health management APP for female college students: application of UTAUT model based on Fogg theory.

IF 2.6 3区心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY

Frontiers in Psychology Pub Date : 2024-11-07 eCollection Date: 2024-01-01 DOI:10.3389/fpsyg.2024.1466566

Lanying Wang, Yinying Zhang, Zhihong Li, Xinyu Pang, Yuanyuan Zhang, Mingming Zou

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引用次数: 0

Abstract

Introduction: As the development process of medical industry informatization has entered the stage of smart healthcare, health management applications (apps) have played an important role in improving people's health and preventing diseases, especially among female college students.

Methods: This study combines the UTAUT model and the Fogg behavioral model (FBM) as a theoretical framework to investigate the factors affecting female college students' willingness to use health management apps. A survey was conducted with 624 female college students regarding their usage of AI health management mobile applications.

Results: The analysis reveals that social influence (β = 0.497, p < 0.001), performance expectancy (β = 0.268, p < 0.001), effort expectancy (β = 0.359, p < 0.001), and facilitating conditions (β = 0.603, p < 0.001) positively predict attitude; social influence (β = 0.36, p < 0.001) and effort expectancy (β = 0.183, p < 0.001) positively predict perceived risk, while facilitating conditions negatively predict perceived risk (β = -0.108, p < 0.01). Additionally, performance expectancy (β = 0.231, p < 0.001), effort expectancy (β = 0.285, p < 0.001), facilitating conditions (β = 0.25, p < 0.01), and attitude (β = 0.291, p < 0.05) positively predict an individual's intention to use such applications, which in turn affects actual behavior (β = 0.804, p < 0.001).

Discussion: This study develops a comprehensive theoretical framework to explore the psychological and social factors influencing female college students' utilization of health management applications. The findings underscore the significant roles of social influence, performance expectancy, effort expectancy, and facilitating conditions in shaping user attitudes and intentions. These insights offer valuable guidance for formulating effective interventions to enhance the adoption of these applications.

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女大学生使用健康管理APP的意愿分析：基于福格理论的UTAUT模型的应用。

引言随着医疗行业信息化发展进程进入智慧医疗阶段，健康管理应用（APP）在提高人们健康水平和预防疾病方面发挥了重要作用，尤其是在女大学生中：本研究以UTAUT模型和福格行为模型（FBM）为理论框架，探讨影响女大学生使用健康管理应用软件意愿的因素。对 624 名女大学生使用人工智能健康管理手机应用的情况进行了调查：分析发现，社会影响力（β=0.497，p β=0.268，p β=0.359，p β=0.603，p β=0.36，p β=0.183，p β=-0.108，p β=0.231，p β=0.285，p β=0.25，p β=0.291，p β=0.804，p 讨论：本研究建立了一个全面的理论框架，以探讨影响女大学生使用健康管理应用程序的心理和社会因素。研究结果强调了社会影响、绩效预期、努力预期和便利条件在塑造用户态度和意向方面的重要作用。这些见解为制定有效的干预措施以提高这些应用程序的采用率提供了宝贵的指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Psychology PSYCHOLOGY, MULTIDISCIPLINARY-

CiteScore

5.30

自引率

13.20%

发文量

7396

审稿时长

14 weeks

期刊介绍： Frontiers in Psychology is the largest journal in its field, publishing rigorously peer-reviewed research across the psychological sciences, from clinical research to cognitive science, from perception to consciousness, from imaging studies to human factors, and from animal cognition to social psychology. Field Chief Editor Axel Cleeremans at the Free University of Brussels is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. The journal publishes the best research across the entire field of psychology. Today, psychological science is becoming increasingly important at all levels of society, from the treatment of clinical disorders to our basic understanding of how the mind works. It is highly interdisciplinary, borrowing questions from philosophy, methods from neuroscience and insights from clinical practice - all in the goal of furthering our grasp of human nature and society, as well as our ability to develop new intervention methods.