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Cross-Analysis of mHealth Social Acceptance Among Youth: A Comparative Study Between Japan and China.

作者信息

Akiogbe Olugbenga, Feng Hanlin, Kurata Karin, Niwa Makoto, Cao Jianfei, Zhang Shuo, Kageyama Itsuki, Kobayashi Yoshiyuki, Lim Yeongjoo, Kodama Kota

机构信息

Graduate School of Design and Architecture, Nagoya City University, Nagoya 464-0083, Japan.

Graduate School of Technology Management, Ritsumeikan University, Ibaraki 567-8570, Japan.

出版信息

Behav Sci (Basel). 2025 Feb 14;15(2):213. doi: 10.3390/bs15020213.


DOI:10.3390/bs15020213
PMID:40001844
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11851955/
Abstract

Although mobile health (mHealth) technologies have emerged as a revolutionary approach to enhance healthcare delivery, few studies have examined how it is perceived and accepted in different cultures. This study investigated mHealth's social acceptance among young people in Japan and China, with a focus on cultural influences on technology adoption. A comparative analysis approach was adopted, employing an extended unified theory of acceptance and use of the technology model. University students from both countries, recruited using harmonized sampling methods, completed questionnaires. We employed descriptive statistics to summarize the sample characteristics, confirmatory factor analysis to validate the constructs, multigroup analysis to test for measurement invariance and ensure the applicability of the model in both cultural contexts, and comparative path analysis to explore differences in the various factors influencing mHealth acceptance in each cultural setting. The findings revealed distinct cultural effects on mHealth acceptance. Japanese young people showed cautious acceptance influenced by societal norms and infrastructure, whereas Chinese young people demonstrated strong engagement driven by government support and the growing digital health industry. The study emphasizes the importance of considering cultural and systemic dynamics when integrating mHealth into youth healthcare models and suggests tailored strategies for successful implementation.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/167095f7ab29/behavsci-15-00213-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/1ba01312c0d1/behavsci-15-00213-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/b7e1c71f83d7/behavsci-15-00213-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/2265515cd007/behavsci-15-00213-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/167095f7ab29/behavsci-15-00213-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/1ba01312c0d1/behavsci-15-00213-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/b7e1c71f83d7/behavsci-15-00213-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/2265515cd007/behavsci-15-00213-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/161e/11851955/167095f7ab29/behavsci-15-00213-g001.jpg

相似文献

[1]
Cross-Analysis of mHealth Social Acceptance Among Youth: A Comparative Study Between Japan and China.

Behav Sci (Basel). 2025-2-14

[2]
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Int J Environ Res Public Health. 2022-11-17

[3]
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BMC Geriatr. 2023-2-4

[4]
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[5]
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[6]
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[7]
Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study.

BMJ Health Care Inform. 2022-11

[8]
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JMIR Form Res. 2022-7-6

[9]
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J Med Internet Res. 2020-10-22

[10]
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本文引用的文献

[1]
On the use of post-hoc tests in environmental and biological sciences: A critical review.

Heliyon. 2024-1-26

[2]
How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience.

Behav Sci (Basel). 2024-6-14

[3]
Facilitation: a crucial catalyst for evidence implementation in health care.

JBI Evid Implement. 2024-5-1

[4]
Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology.

Sci Rep. 2024-1-3

[5]
Individualistic powerfulness and collectivistic powerlessness corrupts: how power and cultural orientation influence corruption.

J Soc Psychol. 2024-11

[6]
semPower: General power analysis for structural equation models.

Behav Res Methods. 2024-4

[7]
Recent advancement in integrating artificial intelligence and information technology with real-world data for clinical decision-making in China: A scoping review.

J Evid Based Med. 2023-12

[8]
Ensuring cross-cultural data comparability by means of anchoring vignettes in heterogeneous refugee samples.

BMC Med Res Methodol. 2023-9-28

[9]
Young adults' adoption and use of mental health apps: efficient, effective, but no replacement for in-person care.

J Am Coll Health. 2025-2

[10]
Latent Variables Analysis in Person-Oriented Research.

J Pers Oriented Res. 2023-6-17

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