Innovative Research Award

Ayuto Kodama
Akita University, Japan

Ayuto Kodama is a researcher affiliated with Akita University, Japan, whose documented research activity is situated within medicine and health sciences. The available publication record includes studies addressing driving risk assessment, mild cognitive impairment, mobility measurement, and frailty prevention among older adults. These topics connect clinical research with practical approaches to aging, safety, functional assessment, and community health. [1]

Abstract

Ayuto Kodama’s research profile encompasses empirical work on health and safety among older adults. Recent publications examine driving-risk assessment, walking-speed measurement, mild cognitive impairment, and exercise-based approaches to frailty prevention. The studies demonstrate an applied research orientation in which measurable clinical or behavioral indicators are examined for their potential relevance to assessment and prevention. [2]

Keywords

• Geriatric health, mild cognitive impairment, driving risk, walking speed, frailty, older adults, clinical assessment

Introduction

Research concerning healthy aging increasingly incorporates multidimensional assessment of physical function, cognition, mobility, and safety. Kodama’s listed publications address several of these dimensions, including the measurement of daily walking speed using smartphones and the assessment of driving-related risks in community-dwelling older adults. [3]

Research Profile

The supplied bibliographic profile records 26 documents, 193 citations, and an h-index of 8 under Scopus ID 57190225780. The research is associated with Akita University and the subject area of Medicine and Health Sciences. ORCID identifier 0000-0002-2583-9422 provides an additional persistent researcher identifier.

Research Contributions

The publication record covers methodological and clinically oriented questions. One study evaluates the structure of the Driving Risk Checklist-25 through exploratory factor analysis and parallel analysis, while another investigates smartphone-based walking-speed measurement and its predictive utility for mild cognitive impairment. [1] Additional work examines driving-risk characteristics and a pole-assisted multicomponent exercise intervention for frailty prevention. [4]

Publications

• Exploratory Factor Analysis of the Driving Risk Checklist-25 Among Community-Dwelling Older Adults — Safety, 2026.
• Time-stratified daily walking speed measurement via smartphone and its predictive utility for mild cognitive impairment — Scientific Reports, 2026.
• Characteristics of Driving Risk Checklist-25 among community-dwelling older adults with mild cognitive impairment — Geriatrics & Gerontology International, 2025.
• Effects of Pole-Assisted Multicomponent Exercise on Preventing Frailty Among Older Adults in Japan — Psychogeriatrics, 2025.

Research Impact

The documented citation count and publication portfolio indicate that Kodama’s work has received scholarly attention. The subject matter also has practical relevance to geriatric assessment and community-based health research, particularly where objective measures may support evaluation of cognition, mobility, driving safety, or frailty. These observations are descriptive and do not independently establish clinical effectiveness.

Award Suitability

For an Innovative Research Award consideration, the documented record provides several areas for review, including methodological development in driving-risk assessment, technology-assisted mobility measurement, and intervention research involving older adults. The final assessment of suitability should be based on the award’s published criteria, verified bibliographic records, and the relevant evaluation process of Computer Scientists Awards.

Conclusion

Ayuto Kodama’s documented research profile reflects sustained activity in medicine and health sciences, with particular attention to aging, cognition, mobility, driving safety, and frailty. The combination of quantitative assessment and applied health research provides a substantive basis for academic recognition review within the stated award category.

External Links

• ORCID Profile
• Scopus Author Profile
• DOI
• Computer Scientists Awards

References

1. Elsevier. (n.d.). Scopus author details: Ayuto Kodama, Author ID 57190225780. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=57190225780
2. Kodama, A. (2026). Exploratory Factor Analysis of the Driving Risk Checklist-25 Among Community-Dwelling Older Adults. Safety.
   https://doi.org/10.3390/safety12050119
3. Kodama, A. (2026). Time-stratified daily walking speed measurement via smartphone and its predictive utility for mild cognitive impairment. Scientific Reports.
   https://researchmap.jp/a-kodama/published_papers/53962882
4. Kodama, A. (2025). Characteristics of Driving Risk Checklist-25 among community-dwelling older adults with mild cognitive impairment. Geriatrics & Gerontology International.
   https://doi.org/10.1111/ggi.70127
5. Kodama, A. (2025). Effects of Pole-Assisted Multicomponent Exercise on Preventing Frailty Among Older Adults in Japan: A Quasi-Experimental Study. Psychogeriatrics.
   https://doi.org/10.1111/psyg.70067
6. ORCID. (n.d.). Ayuto Kodama ORCID record.
   https://orcid.org/0000-0002-2583-9422
7. Computer Scientists Awards. (n.d.). Official Award Website.
   https://computerscientists.net/