{"title":"Effect of the Big Five Personality on the intention to use mHealth applications among the Chinese elderly: a national-based study.","authors":"Jinghui Chang, Anqi Li, Xixi Yang, Chunnan Li, Yanshan Mai, Dayi Zhang, Wende Yan, Yibo Wu, Jiangyun Chen","doi":"10.3389/fpsyg.2025.1479204","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Mobile health applications may provide potential tools to support healthy aging. Promoting mHealth use by the elderly remains an imperative to realize health improvement.</p><p><strong>Objective: </strong>The research aimed to identify the relationship between personality traits and the intention to use mHealth applications among the elderly in mainland China.</p><p><strong>Methods: </strong>Using a multi-stage sampling method, a cross-sectional survey of 3,712 older adults across China was obtained out of 3,721 (validity rate was 99.76%) in 2022. The effect of personality on the intention to use mHealth applications among older adults was analyzed by multiple linear regression. The independent variable was the personality, using the short version of the Big Five Personality Inventory (BFI-10). The dependent variable was the intention to use the mHealth applications, measured using a sliding scale. Moderators included demographic characteristics and psycho-social variables measured by the Perceived Social Support Scale, the Family Health Scale, and the Health Literacy Scale.</p><p><strong>Results: </strong>The Chinese older adults' intention to use mHealth applications scored (63.31 ± 25.09). Out of the five traits, extraversion, agreeableness, and openness exerted significant effects. Higher scores of extraversion ( <math><mi>β</mi></math> =0.59, t = 1.99, <i>p</i> <math><mo><</mo></math> 0.05) and openness ( <math><mi>β</mi></math> =1.87, <i>t</i> = 6.07, <i>p</i> <math><mo><</mo></math> 0.01) contributed to the intention to use mHealth applications. Conversely, higher agreeableness scores ( <math><mi>β</mi></math> = - 1.05, <i>t</i> = -3.12, <i>p</i> <math><mo><</mo></math> 0.01) related to lower intention.</p><p><strong>Conclusion: </strong>The elderly with high extraversion, openness, and low agreeableness are more willing to adopt mHealth applications in China. Healthcare professionals and mHealth device developers can make personalized and accurate interventions for the elderly with different personalities.</p>","PeriodicalId":12525,"journal":{"name":"Frontiers in Psychology","volume":"16 ","pages":"1479204"},"PeriodicalIF":2.6000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11821963/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3389/fpsyg.2025.1479204","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Mobile health applications may provide potential tools to support healthy aging. Promoting mHealth use by the elderly remains an imperative to realize health improvement.
Objective: The research aimed to identify the relationship between personality traits and the intention to use mHealth applications among the elderly in mainland China.
Methods: Using a multi-stage sampling method, a cross-sectional survey of 3,712 older adults across China was obtained out of 3,721 (validity rate was 99.76%) in 2022. The effect of personality on the intention to use mHealth applications among older adults was analyzed by multiple linear regression. The independent variable was the personality, using the short version of the Big Five Personality Inventory (BFI-10). The dependent variable was the intention to use the mHealth applications, measured using a sliding scale. Moderators included demographic characteristics and psycho-social variables measured by the Perceived Social Support Scale, the Family Health Scale, and the Health Literacy Scale.
Results: The Chinese older adults' intention to use mHealth applications scored (63.31 ± 25.09). Out of the five traits, extraversion, agreeableness, and openness exerted significant effects. Higher scores of extraversion ( =0.59, t = 1.99, p 0.05) and openness ( =1.87, t = 6.07, p 0.01) contributed to the intention to use mHealth applications. Conversely, higher agreeableness scores ( = - 1.05, t = -3.12, p 0.01) related to lower intention.
Conclusion: The elderly with high extraversion, openness, and low agreeableness are more willing to adopt mHealth applications in China. Healthcare professionals and mHealth device developers can make personalized and accurate interventions for the elderly with different personalities.
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.