ArticleInternational journal of environmental research and public health2020
Examining the Effect of Overload on the MHealth Application Resistance Behavior of Elderly Users: An SOR Perspective.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis.Journal of medical Internet research · 2022Pooled it
- Designing an mHealth App to Encourage Uptake of Muscle-Strengthening Exercise in Older Adults: Co-Design Focus Group Study.JMIR aging · 2026Article
- An Integrated Analysis of Factors Influencing Acceptance of Care Robots Among Older Korean Adults.Healthcare (Basel, Switzerland) · 2026Article
- Why health apps fail: the role of smartphone proficiency in mHealth resistance.Frontiers in public health · 2026Article
- The influence of mobile navigation design on older adults cognitive load, affective responses, and digital self-efficacy: mixed-methods study.Frontiers in psychology · 2026Article
- Tailoring mHealth for Healthy Aging: Focus Group Study With Retirement-Age Adults.JMIR mHealth and uHealth · 2025Article
- Article
- Facilitators, barriers, and recommendations for mobile health applications among Chinese older populations: a scoping review.BMC geriatrics · 2025Article
- The influence of internet information exposure on Chinese youth's intention of online psychological counseling: based on SOR theory and the mindful coping model.Scientific reports · 2025Article
- How does bitterness perception correlate with the intention to use traditional Chinese medicine? An analysis of double-edged sword effects based on the stimuli-organism-response framework.Frontiers in public health · 2025Article
- Assessing the Factors of User Resistance to Adopting Telehealth Technology Among Women.Telemedicine reports · 2025Article
- Online Depression Communities as a Complementary Approach to Improving the Attitudes of Patients With Depression Toward Medication Adherence: Cross-Sectional Survey Study.Journal of medical Internet research · 2024Article
- Technology Use Among Older Adults and Their Caregivers: Cross-Sectional Survey Study.JMIR aging · 2024Article
- Experiences of receiving an mHealth application with proactive nursing support among community-dwelling older adults: a mixed-methods study.BMC nursing · 2024Article
- COVID-19 and telemedicine: A netnography approach.Technological forecasting and social change · 2023Article
- Understanding Older Adults' Experiences With Technologies for Health Self-management: Interview Study.JMIR aging · 2023Article
- Determinants of intention with remote health management service among urban older adults: A Unified Theory of Acceptance and Use of Technology perspective.Frontiers in public health · 2023Article
- A study on community older people's willingness to use smart home-an extended technology acceptance model with intergenerational relationships.Frontiers in public health · 2023Article
- The Impact of Using mHealth Apps on Improving Public Health Satisfaction during the COVID-19 Pandemic: A Digital Content Value Chain Perspective.Healthcare (Basel, Switzerland) · 2022Article
- How Emotional Interaction Affects Purchase Intention in Social Commerce: The Role of Perceived Usefulness and Product Type.Psychology research and behavior management · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging has increased the burden of social medical care. Mobile health (mHealth) services provide an effective way to alleviate this pressure. However, the actual usage of mHealth services for elderly users is still very low. The extant studies mainly focused on elderly users' mHealth adoption behavior, but resistance behavior has not been sufficiently explored by previous research. A present study tried to remedy this research gap by examining the effect of overload factors on the mHealth application resistance behavior based on the stimulus-organism-response (SOR) framework. The results indicated that information overload and system feature overload of an mHealth application increased the fatigue and technostress of the elderly user, which further increased their resistance behavior. Meanwhile, we integrated the intergeneration support with the SOR model to identify the buffer factor of the elderly user's resistance behavior. The results showed that intergenerational support not only directly decrease the elderly user's mHealth application resistance behavior, but also moderates (weaken) the effects of fatigue and technostress on resistance behavior. The present study also provided several valuable theoretical and practical implications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.