ArticleHealthcare (Basel, Switzerland)2019
What Motivates Chinese Young Adults to Use mHealth?
Article in Healthcare (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Cross-Analysis of mHealth Social Acceptance Among Youth: A Comparative Study Between Japan and China.Behavioral sciences (Basel, Switzerland) · 2025Article
- How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience.Behavioral sciences (Basel, Switzerland) · 2024Article
- mHealth and COVID-19: A Bibliometric Study.Healthcare (Basel, Switzerland) · 2023Review
- Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review.JMIR diabetes · 2022Article
- Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model.International journal of environmental research and public health · 2022Article
- The Association between mHealth App Use and Healthcare Satisfaction among Clients at Outpatient Clinics: A Cross-Sectional Study in Inner Mongolia, China.International journal of environmental research and public health · 2022Article
- Antecedents for Older Adults' Intention to Use Smart Health Wearable Devices-Technology Anxiety as a Moderator.Behavioral sciences (Basel, Switzerland) · 2022Article
- A multi-method analytical approach to predicting young adults' intention to invest in mHealth during the COVID-19 pandemic.Telematics and informatics · 2022Article
- Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens.International journal of medical informatics · 2021Article
- Perceptions of Mobile Health Apps and Features to Support Psychosocial Well-being Among Frontline Health Care Workers Involved in the COVID-19 Pandemic Response: Qualitative Study.Journal of medical Internet research · 2021Article
- Determinants Impacting User Behavior towards Emergency Use Intentions of m-Health Services in Taiwan.Healthcare (Basel, Switzerland) · 2021Article
- Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach.Journal of biomedical informatics · 2021Article
- Examining the Effect of Overload on the MHealth Application Resistance Behavior of Elderly Users: An SOR Perspective.International journal of environmental research and public health · 2020Article
- The COVID-19 Pandemic and Rapid Implementation of Adolescent and Young Adult Telemedicine: Challenges and Opportunities for Innovation.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
mHealth is one of China's national strategies that brings affordable, accessible, and convenient health care to its entire population, may they be in cities or rural areas. Although Chinese young adults are among the first to adopt mHealth, the factors influencing Chinese young adults to use mHealth are yet to be studied both empirically and in depth. This study explores the mechanism that determines Chinese young adults' intention to use mHealth, based on an extended Technology Acceptance Model (TAM). The extended TAM was tested using responses from 486 Chinese young adults. The results showed that perceived usefulness strongly and significantly influenced people's intention to use mHealth. Additionally, communication effectiveness, health consciousness, and perceived ease of use were found as significant factors influencing people's intention to use mHealth through perceived usefulness. Distrust was not found to significantly influence people's intention to use mHealth.
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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 OpenQuestion graph.