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

Research Instruments, Questionnaires, and Tools (576) Water, Oceans, and Hydro Sciences (35)

Published on in Vol 14, No 5 (2012): Sep-Oct

Validation of Web-Based Physical Activity Measurement Systems Using Doubly Labeled Water

Validation of Web-Based Physical Activity Measurement Systems Using Doubly Labeled Water

Validation of Web-Based Physical Activity Measurement Systems Using Doubly Labeled Water

Authors of this article:

Hideyuki Namba1 ;   Yukio Yamaguchi1 ;   Yosuke Yamada2, 3 ;   Satoru Tokushima1 ;   Yoichi Hatamoto1 ;   Hiroyuki Sagayama1 ;   Misaka Kimura2 ;   Yasuki Higaki1 ;   Hiroaki Tanaka1
Article Authors Cited by (18) Tweetations (10) Metrics

Journals

  1. . 身体活動分析システムによる都市規模毎の身体活動および行動内容の比較. Japanese Journal of Physical Fitness and Sports Medicine 2014;63(1):74 View
  2. Yamada Y, Hashii-Arishima Y, Yokoyama K, Itoi A, Adachi T, Kimura M. Validity of a triaxial accelerometer and simplified physical activity record in older adults aged 64–96 years: a doubly labeled water study. European Journal of Applied Physiology 2018;118(10):2133 View
  3. Kohler S, Behrens G, Olden M, Baumeister S, Horsch A, Fischer B, Leitzmann M. Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument. Journal of Medical Internet Research 2017;19(5):e186 View
  4. Riebl S, Paone A, Hedrick V, Zoellner J, Estabrooks P, Davy B. The Comparative Validity of Interactive Multimedia Questionnaires to Paper-Administered Questionnaires for Beverage Intake and Physical Activity: Pilot Study. JMIR Research Protocols 2013;2(2):e40 View
  5. Komura K, Nakae S, Hirakawa K, Ebine N, Suzuki K, Ozawa H, Yamada Y, Kimura M, Ishii K. Total energy expenditure of 10- to 12-year-old Japanese children measured using the doubly labeled water method. Nutrition & Metabolism 2017;14(1) View
  6. Ng K, Badura P, Dzielska A, Kokko S, Woods C, Hamrik Z. Test-retest reliability of survey items on ownership and use of physical activity trackers. Acta Gymnica 2019;49(2):67 View
  7. Watanabe D, Nanri H, Sagayama H, Yoshida T, Itoi A, Yamaguchi M, Yokoyama K, Watanabe Y, Goto C, Ebine N, Higaki Y, Ishikawa-Takata K, Kimura M, Yamada Y. Estimation of Energy Intake by a Food Frequency Questionnaire: Calibration and Validation with the Doubly Labeled Water Method in Japanese Older People. Nutrients 2019;11(7):1546 View
  8. Yamada Y, Noriyasu R, Yokoyama K, Osaki T, Adachi T, Itoi A, Morimoto T, Oda S, Kimura M. Association between lifestyle and physical activity level in the elderly: a study using doubly labeled water and simplified physical activity record. European Journal of Applied Physiology 2013;113(10):2461 View
  9. Namba H, Yamada Y, Ishida M, Takase H, Kimura M. Use of a Web-Based Physical Activity Record System to Analyze Behavior in a Large Population: Cross-Sectional Study. Journal of Medical Internet Research 2015;17(3):e74 View
  10. Sasai H, Nakata Y, Murakami H, Kawakami R, Nakae S, Tanaka S, Ishikawa-Takata K, Yamada Y, Miyachi M. Simultaneous Validation of Seven Physical Activity Questionnaires Used in Japanese Cohorts for Estimating Energy Expenditure: A Doubly Labeled Water Study. Journal of Epidemiology 2018;28(10):437 View
  11. Koshimizu T, Namba H, Hatamoto Y, Yoshida T, Nakagata T, Aruga M, Takada Y, Yamada Y. Development and validation of energy availability assessment tool for female athletes. International Journal of Human Culture Studies 2019;2019(29):845 View
  12. Tanaka S. Status of physical activity in Japanese adults and children. Annals of Human Biology 2019;46(4):305 View
  13. Saint-Maurice P, Welk G. Web-Based Assessments of Physical Activity in Youth: Considerations for Design and Scale Calibration. Journal of Medical Internet Research 2014;16(12):e269 View
  14. Namba H. Physical Activity Evaluation Using a Voice Recognition App: Development and Validation Study. JMIR Biomedical Engineering 2021;6(1):e19088 View
  15. 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
  16. Šuc A, Einfalt L, Šarabon N, Kastelic K. Validity and reliability of self-reported methods for assessment of 24-h movement behaviours: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  17. YAMAGUCHI N, FUKUMOTO T, IMAGITA H, Lau P. Relationship between physical activity and neighborhood environment in preschool children during COVID-19.—A cross-sectional study using 24-hour activity records-. PLOS ONE 2024;19(10):e0304848 View

Books/Policy Documents

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