Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey

Physical activity and health guidance are strong predictors of app use. Health care providers should assess the target populations' preferences for app use based on their characteristics, support their app use, and enhance the effectiveness of health guidance.

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Publication Details

Journal
JMIR Human Factors
Published
2024-10-25
DOI
https://doi.org/10.2196/54673
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey

Itsuko Ozaki, Mariko Nishijima, Chifa Chiang, Eiji Shibata et al.
JMIR Human Factors
Mobile Health and mHealth Applications
article

Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey

Itsuko Ozaki, Mariko Nishijima, Chifa Chiang, Eiji Shibata, Yuri Zako
article en

Abstract

Physical activity and health guidance are strong predictors of app use. Health care providers should assess the target populations' preferences for app use based on their characteristics, support their app use, and enhance the effectiveness of health guidance.

JMIR Human FactorsVol. 11
Yokkaichi Nursing and Medical Care University (JP), Nagoya City University (JP), Ehime University (JP)
Openalex Percentile: Top 67%
Mobile Health and mHealth Applications
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