This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997)

Published on in Vol 17, No 3 (2015): March

Use of a Web-Based Physical Activity Record System to Analyze Behavior in a Large Population: Cross-Sectional Study

Use of a Web-Based Physical Activity Record System to Analyze Behavior in a Large Population: Cross-Sectional Study

Use of a Web-Based Physical Activity Record System to Analyze Behavior in a Large Population: Cross-Sectional Study

Authors of this article:

Hideyuki Namba1, 2 Author Orcid Image ;   Yosuke Yamada2 Author Orcid Image ;   Mika Ishida3 Author Orcid Image ;   Hideto Takase3 Author Orcid Image ;   Misaka Kimura4 Author Orcid Image
Article Authors Cited by (5) Tweetations (10) Metrics

Journals

  1. Kikuchi-Noguchi H, Shiraishi M, Matsuzaki M, Haruna M, Akpak Y. Physical activity levels in the second trimester of pregnancy and related demographic factors: A cross-sectional secondary data analysis. Cogent Medicine 2019;6(1):1704607 View
  2. Namba H. Physical Activity Evaluation Using a Voice Recognition App: Development and Validation Study. JMIR Biomedical Engineering 2021;6(1):e19088 View
  3. Yamada Y, Namba H, Date H, Kitayama S, Nakayama Y, Kimura M, Fujita H, Miyachi M. Regional Difference in the Impact of COVID-19 Pandemic on Domain-Specific Physical Activity, Sedentary Behavior, Sleeping Time, and Step Count: Web-Based Cross-sectional Nationwide Survey and Accelerometer-Based Observational Study. JMIR Public Health and Surveillance 2023;9:e39992 View
  4. Kubo M, Hishikawa N, Shinjo H, Ohashi S, Sawada K, Matoba S, Mikami Y. Physical activity associations with physical function and body composition among community‐dwelling older adults in Japan: The Kyotango Longevity Cohort Study. Geriatrics & Gerontology International 2025;25(11):1511 View

Books/Policy Documents

  1. Namba H. Advanced Virtual Assistants - A Window to the Virtual Future [Working Title]. View