Evidence map›Paper›PMID 40001844›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

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

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

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Olugbenga AkiogbeGraduate School of Design and Architecture, Nagoya City University, Nagoya 464-0083, Japan.ORCID 0009-0001-2706-5969
Hanlin FengGraduate School of Technology Management, Ritsumeikan University, Ibaraki 567-8570, Japan.ORCID 0009-0001-7143-352X
Karin KurataGraduate School of Design and Architecture, Nagoya City University, Nagoya 464-0083, Japan.
Makoto NiwaResearch Organization of Open Innovation and Collaboration, Ritsumeikan University, Osaka 567-8570, Japan.ORCID 0000-0002-2355-1222
Jianfei CaoGraduate School of Technology Management, Ritsumeikan University, Ibaraki 567-8570, Japan.ORCID 0000-0001-9452-2990
Shuo ZhangInstitute at School of Management, Harbin Institute of Technology, Harbin 150001, China.
Itsuki KageyamaMerge System Co., Ltd., Fukuoka 810-0041, Japan.
Yoshiyuki KobayashiMedical Data Science Lab., Hoshi University, Tokyo 142-0063, Japan.
Yeongjoo LimGraduate School of Corporate Business, Ritsumeikan University, Ibaraki 567-8570, Japan.ORCID 0000-0003-2740-5537
Kota KodamaResearch Organization of Open Innovation and Collaboration, Ritsumeikan University, Osaka 567-8570, Japan.

Funding

Japan Society for the Promotion of Science 20H01546Japan Society for the Promotion of Science 20K20769Japan Society for the Promotion of Science 21H00739SECOM Science and Technology Foundation SECOM Science and Technology Foundation
6 · The paper itself

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.

Indexed as

Chinacomparative path analysisJapanmHealthsocial acceptanceyouth

Identifiers

PMID40001844
PMCPMC11851955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.