{"title":"Analysis of willingness to use health management APP for female college students: application of UTAUT model based on Fogg theory.","authors":"Lanying Wang, Yinying Zhang, Zhihong Li, Xinyu Pang, Yuanyuan Zhang, Mingming Zou","doi":"10.3389/fpsyg.2024.1466566","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>The analysis reveals that social influence (<i>β</i> = 0.497, <i>p</i> < 0.001), performance expectancy (<i>β</i> = 0.268, <i>p</i> < 0.001), effort expectancy (<i>β</i> = 0.359, <i>p</i> < 0.001), and facilitating conditions (<i>β</i> = 0.603, <i>p</i> < 0.001) positively predict attitude; social influence (<i>β</i> = 0.36, <i>p</i> < 0.001) and effort expectancy (<i>β</i> = 0.183, <i>p</i> < 0.001) positively predict perceived risk, while facilitating conditions negatively predict perceived risk (<i>β</i> = -0.108, <i>p</i> < 0.01). Additionally, performance expectancy (<i>β</i> = 0.231, <i>p</i> < 0.001), effort expectancy (<i>β</i> = 0.285, <i>p</i> < 0.001), facilitating conditions (<i>β</i> = 0.25, <i>p</i> < 0.01), and attitude (<i>β</i> = 0.291, <i>p</i> < 0.05) positively predict an individual's intention to use such applications, which in turn affects actual behavior (<i>β</i> = 0.804, <i>p</i> < 0.001).</p><p><strong>Discussion: </strong>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.</p>","PeriodicalId":12525,"journal":{"name":"Frontiers in Psychology","volume":"15 ","pages":"1466566"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11578752/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3389/fpsyg.2024.1466566","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.