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The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps

作者:Guo, Yongyan[1,2];Wen, Tingting[1];Yue, Siyu[1];Zhao, Xiaoran[1];Huang, Keke[1]

机构:[1]East China Univ Sci & Technol, Sch Art Design & Media, Art Design & Media, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Sch Art Design & Media, 130 Meilong Rd, Shanghai 200037, Peoples R China

年份:2023

卷号:9

外文期刊名:DIGITAL HEALTH

收录:;WOS:【SSCI(收录号:WOS:000960536200001),SCI-EXPANDED(收录号:WOS:000960536200001)】;

语种:英文

外文关键词:Personalized persuasive strategies; mobile health education; older adults; usage frequency; persuasiveness measurement; the transtheoretical model

摘要:With the development of mobile communication technology, persuasive technology is widely used in mobile health. Using personalized persuasive strategies in mobile health education (MHE) apps can effectively improve users' health literacy and health behaviors. The transtheoretical model explains the process of user behavior change. Different usage frequency of the app reflects changes in user behavior. However, few studies have examined how the perceived importance of persuasive strategies among older adults changes with increasing use frequency. In this study, we analyzed the sensitivity of 111 older adults in China to persuasive strategies in MHE apps. Thirteen persuasive strategies were selected for this study. A repeated measure analysis of variance (RM-ANOVA) was used to demonstrate the influence of gender, health information attention and frequency of use on the sensitivity of perceived persuasive strategies among older adults. The results revealed older adults with a high usage frequency of health apps were more receptive to persuasive strategies, especially in social comparison strategy. This result may help developers consider factors such as the frequency of use by older users when designing personalized persuasive strategies for MHE apps.

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