Published on in Vol 7, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13938, first published .
Accuracy of 12 Wearable Devices for Estimating Physical Activity Energy Expenditure Using a Metabolic Chamber and the Doubly Labeled Water Method: Validation Study

Accuracy of 12 Wearable Devices for Estimating Physical Activity Energy Expenditure Using a Metabolic Chamber and the Doubly Labeled Water Method: Validation Study

Accuracy of 12 Wearable Devices for Estimating Physical Activity Energy Expenditure Using a Metabolic Chamber and the Doubly Labeled Water Method: Validation Study

Journals

  1. Jindo T, Kai Y, Kitano N, Wakaba K, Makishima M, Takeda K, Iida M, Igarashi K, Arao T. Impact of Activity-Based Working and Height-Adjustable Desks on Physical Activity, Sedentary Behavior, and Space Utilization among Office Workers: A Natural Experiment. International Journal of Environmental Research and Public Health 2019;17(1):236 View
  2. Sun J, Liu Y. Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study. JMIR mHealth and uHealth 2020;8(8):e17699 View
  3. Wang G, Zhou S, Rezaei S, Liu X, Huang A. An Ambulatory Blood Pressure Monitor Mobile Health System for Early Warning for Stroke Risk: Longitudinal Observational Study. JMIR mHealth and uHealth 2019;7(10):e14926 View
  4. Strock N, Koltun K, Mallinson R, Williams N, De Souza M. Characterizing the resting metabolic rate ratio in ovulatory exercising women over 12 months. Scandinavian Journal of Medicine & Science in Sports 2020;30(8):1337 View
  5. Yamada Y, Sagayama H, Itoi A, Nishimura M, Fujisawa K, Higaki Y, Kimura M, Aoki Y. Total Energy Expenditure, Body Composition, Physical Activity, and Step Count in Japanese Preschool Children: A Study Based on Doubly Labeled Water. Nutrients 2020;12(5):1223 View
  6. Kim B, Kwon H, Chun M, Park K, Lim S, Jeong J, Kim G. White Matter Integrity Is Associated With the Amount of Physical Activity in Older Adults With Super-aging. Frontiers in Aging Neuroscience 2020;12 View
  7. JAGIM A, KOCH-GALLUP N, CAMIC C, KROENING L, NOLTE C, SCHROEDER C, GRAN L, ERICKSON J. The accuracy of fitness watches for the measurement of heart rate and energy expenditure during moderate intensity exercise. The Journal of Sports Medicine and Physical Fitness 2021;61(2) View
  8. Nagayama C, Burns S, Stensel D, Thackray A, Takahashi M, Miyashita M. Effects of a single bout of walking on postprandial triglycerides in men of Chinese, European and Japanese descent: a multisite randomised crossover trial. BMJ Open Sport & Exercise Medicine 2020;6(1):e000928 View
  9. Yamaguchi M, Nishi N. International Collaborative Activities and Studies at the National Institute of Health and Nutrition. The Japanese Journal of Nutrition and Dietetics 2020;78(Supplement):S101 View
  10. Namba H. Physical Activity Evaluation Using a Voice Recognition App: Development and Validation Study. JMIR Biomedical Engineering 2021;6(1):e19088 View
  11. Teixeira E, Fonseca H, Diniz-Sousa F, Veras L, Boppre G, Oliveira J, Pinto D, Alves A, Barbosa A, Mendes R, Marques-Aleixo I. Wearable Devices for Physical Activity and Healthcare Monitoring in Elderly People: A Critical Review. Geriatrics 2021;6(2):38 View
  12. Jindo T, Kai Y, Kitano N, Makishima M, Takeda K, Arao T. Impact of Ergonomics on Cardiometabolic Risk in Office Workers. Journal of Occupational & Environmental Medicine 2021;63(5):e267 View
  13. Karim J, Talhouk A. Person-Generated Health Data in Women’s Health: Protocol for a Scoping Review. JMIR Research Protocols 2021;10(5):e26110 View
  14. Koizumi N, Negishi Y, Ogata H, Rakwal R, Omi N. Estimating Total Energy Expenditure for Fire-Fighters during Large Scale Disaster Response Training Using a Tri-Axial Accelerometer. Nutrients 2021;13(8):2789 View
  15. Wang Z, Zhang Q, Lan K, Yang Z, Gao X, Wu A, Xin Y, Zhang Z. Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals. Frontiers in Physiology 2022;13 View
  16. Yamada Y, Sagayama H, Yasukata J, Uchizawa A, Itoi A, Yoshida T, Watanabe D, Hashii-Arishima Y, Mitsuishi H, Nishimura M, Kimura M, Aoki Y. Association between Water and Energy Requirements with Physical Activity and Fat-Free Mass in Preschool Children in Japan. Nutrients 2021;13(11):4169 View
  17. Sasaki S, Nakamura K, Ukawa S, Okada E, Amagasa S, Inoue S, Kimura T, Yoshimura A, Tanaka A, Nakagawa T, Imae A, Tamakoshi A. Association of accelerometer-measured physical activity with kidney function in a Japanese population: the DOSANCO Health Study. BMC Nephrology 2022;23(1) View
  18. Shei R, Holder I, Oumsang A, Paris B, Paris H. Wearable activity trackers–advanced technology or advanced marketing?. European Journal of Applied Physiology 2022;122(9):1975 View
  19. Smith J, Christie S, Rockette-Wagner B, Wilson L, Govia I, Facey K, Tulloch-Reid M. Acceptability and use of waist-worn physical activity monitors in Jamaican adolescents: lessons from the field. BMC Research Notes 2023;16(1) View
  20. Argent R, Hetherington-Rauth M, Stang J, Tarp J, Ortega F, Molina-Garcia P, Schumann M, Bloch W, Cheng S, Grøntved A, Brønd J, Ekelund U, Sardinha L, Caulfield B. Recommendations for Determining the Validity of Consumer Wearables and Smartphones for the Estimation of Energy Expenditure: Expert Statement and Checklist of the INTERLIVE Network. Sports Medicine 2022;52(8):1817 View
  21. Zhao Y, Lu Z, Hsieh Y, Lin S, Chiang P. The Wearable Physical Fitness Training Device Based on Fuzzy Theory. Applied Sciences 2021;11(21):9976 View
  22. Kumar S, Victoria-Castro A, Melchinger H, O’Connor K, Psotka M, Desai N, Ahmad T, Wilson F. Wearables in Cardiovascular Disease. Journal of Cardiovascular Translational Research 2023;16(3):557 View
  23. Ash G, Stults-Kolehmainen M, Busa M, Gaffey A, Angeloudis K, Muniz-Pardos B, Gregory R, Huggins R, Redeker N, Weinzimer S, Grieco L, Lyden K, Megally E, Vogiatzis I, Scher L, Zhu X, Baker J, Brandt C, Businelle M, Fucito L, Griggs S, Jarrin R, Mortazavi B, Prioleau T, Roberts W, Spanakis E, Nally L, Debruyne A, Bachl N, Pigozzi F, Halabchi F, Ramagole D, Janse van Rensburg D, Wolfarth B, Fossati C, Rozenstoka S, Tanisawa K, Börjesson M, Casajus J, Gonzalez-Aguero A, Zelenkova I, Swart J, Gursoy G, Meyerson W, Liu J, Greenbaum D, Pitsiladis Y, Gerstein M. Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders. Sports Medicine 2021;51(11):2237 View
  24. Calvillo-Arbizu J, Naranjo-Hernández D, Barbarov-Rostán G, Talaminos-Barroso A, Roa-Romero L, Reina-Tosina J. A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home. International Journal of Environmental Research and Public Health 2021;18(21):11730 View
  25. Hibbing P, Shook R, Panda S, Manoogian E, Mashek D, Chow L. Predicting energy intake with an accelerometer-based intake-balance method. British Journal of Nutrition 2023;130(2):344 View
  26. Philip B, Abdelrazek M, Bonti A, Barnett S, Grundy J. Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis. JMIR mHealth and uHealth 2022;10(3):e30468 View
  27. Giurgiu M, Timm I, Becker M, Schmidt S, Wunsch K, Nissen R, Davidovski D, Bussmann J, Nigg C, Reichert M, Ebner-Priemer U, Woll A, von Haaren-Mack B. Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review. JMIR mHealth and uHealth 2022;10(6):e36377 View
  28. Nakagata T, Murakami H, Kawakami R, Tripette J, Nakae S, Yamada Y, Ishikawa-Takata K, Tanaka S, Miyachi M. Step-count outcomes of 13 different activity trackers: Results from laboratory and free-living experiments. Gait & Posture 2022;98:24 View
  29. Yamada Y, Yoshida T, Murakami H, Kawakami R, Gando Y, Ohno H, Tanisawa K, Konishi K, Julien T, Kondo E, Nakagata T, Nanri H, Miyachi M. Phase angle obtained via bioelectrical impedance analysis and objectively measured physical activity or exercise habits. Scientific Reports 2022;12(1) View
  30. Dougherty R, Liu F, Etzkorn L, Wanigatunga A, Walter P, Knuth N, Schrack J, Ferrucci L. Validation of accelerometer placement to capture energy expenditure using doubly labeled water. Applied Physiology, Nutrition, and Metabolism 2022;47(10):1045 View
  31. Gerhalter T, Müller C, Maron E, Thielen M, Schätzl T, Mähler A, Schütte T, Boschmann M, Herzer R, Spuler S, Gazzerro E. “suMus,” a novel digital system for arm movement metrics and muscle energy expenditure. Frontiers in Physiology 2023;14 View
  32. Thomas D, Kleinberg S, Brown A, Crow M, Bastian N, Reisweber N, Lasater R, Kendall T, Shafto P, Blaine R, Smith S, Ruiz D, Morrell C, Clark N. Machine learning modeling practices to support the principles of AI and ethics in nutrition research. Nutrition & Diabetes 2022;12(1) View
  33. Kimball J, Inan O, Convertino V, Cardin S, Sawka M. Wearable Sensors and Machine Learning for Hypovolemia Problems in Occupational, Military and Sports Medicine: Physiological Basis, Hardware and Algorithms. Sensors 2022;22(2):442 View
  34. 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
  35. Alomairah S, Knudsen S, Roland C, Hergel I, Molsted S, Clausen T, Løkkegaard E, Bendix J, Maddison R, Löf M, Larsen J, Hall G, Stallknecht B. Methods to Estimate Energy Expenditure, Physical Activity, and Sedentary Time in Pregnant Women: A Validation Study Using Doubly Labeled Water. Journal for the Measurement of Physical Behaviour 2023:1 View
  36. PLASQUI G. Assessment of Total Energy Expenditure and Physical Activity Using Activity Monitors. Journal of Nutritional Science and Vitaminology 2022;68(Supplement):S49 View
  37. Teckchandani T, Krakauer R, Andrews K, Neary J, Nisbet J, Shields R, Maguire K, Jamshidi L, Afifi T, Lix L, Sauer-Zavala S, Asmundson G, Krätzig G, Carleton R. Prophylactic relationship between mental health disorder symptoms and physical activity of Royal Canadian Mounted Police Cadets during the cadet training program. Frontiers in Psychology 2023;14 View
  38. Koizumi N, Ogata H, Negishi Y, Nagayama H, Kaneko M, Kiyono K, Omi N. Energy Expenditure of Disaster Relief Operations Estimated Using a Tri-Axial Accelerometer and a Wearable Heart Rate Monitor. International Journal of Environmental Research and Public Health 2023;20(9):5742 View
  39. Tanaka S, Ishikawa-Takata K, Nakae S, Sasaki S. Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities. Sensors 2023;23(10):4960 View
  40. Worlanyo J, Adams C, Adedugbe B, Lokoyi O, Moses M. Knowledge, usability, and impact of wearable fitness devices among community exercisers in Ghana. BMC Digital Health 2023;1(1) View
  41. Waalen J. Mobile Health and Preventive Medicine. Medical Clinics of North America 2023;107(6):1097 View
  42. Curtis R, Dumuid D, McCabe H, Singh B, Ferguson T, Maher C. The association between 24-hour activity, sedentary and sleep compositions and mental health in Australian adults: a cross-sectional study. Journal of Activity, Sedentary and Sleep Behaviors 2023;2(1) View
  43. Tandan R, Howard D, Matthews D. Increased total daily energy expenditure in mild to moderate ALS: greater contribution from physical activity energy expenditure than hyper-metabolism. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2023;24(7-8):661 View
  44. Beniwal R, Kalra S, Beniwal N, Mazumdar H, Singhal A, Singh S, Xiao X. Walk-to-Charge Technology: Exploring Efficient Energy Harvesting Solutions for Smart Electronics. Journal of Sensors 2023;2023:1 View
  45. Han H, Jun H, Park J, Ishikawa-Takata K, Kim E. Validation of a physical activity classification table in Korean adults and elderly using a doubly labeled water method. Journal of Nutrition and Health 2023;56(4):391 View
  46. Matsumoto M, Narumi-Hyakutake A, Kakutani Y, Tsuji M, Hatamoto Y, Higaki Y, Sasaki S. Evaluation of protein requirements using the indicator amino acid oxidation method: a scoping review. The Journal of Nutrition 2023;153(12):3472 View
  47. Iwasaka C, Ninomiya Y, Nakagata T, Nanri H, Watanabe D, Ohno H, Tanisawa K, Konishi K, Murakami H, Tsunematsu Y, Sato M, Watanabe K, Miyachi M. Association between physical activity and the prevalence of tumorigenic bacteria in the gut microbiota of Japanese adults: a cross-sectional study. Scientific Reports 2023;13(1) View
  48. Nakashima D, Fujii K, Tsubouchi Y, Kubo Y, Yorozuya K, Noritake K, Tomiyama N, Tsujishita S, Iitsuka T. Relationship between Phase Angle and Physical Activity Intensity among Community-Dwelling Older Adults in Japan: A Cross-Sectional Study. Healthcare 2024;12(2):167 View
  49. Adachi T, Ashikawa H, Funaki K, Kondo T, Yamada S. Questionnaire-based scoring system for screening moderate-to-vigorous physical activity in middle-aged Japanese workers. Journal of Occupational Health 2024;66(1) View
  50. Ogata H, Negishi Y, Koizumi N, Nagayama H, Kaneko M, Kiyono K, Omi N. Individually optimized estimation of energy expenditure in rescue workers using a tri-axial accelerometer and heart rate monitor. Frontiers in Physiology 2024;15 View
  51. Harada K, Masumoto K, Okada S. Physical Activity Components that Determine Daily Life Satisfaction Among Older Adults: An Intensive Longitudinal Diary Study. International Journal of Behavioral Medicine 2024 View
  52. Wedge R, McCammon M, Meardon S. Accuracy of the SenseWear Armband during Short Bouts of Exercise. Sports 2024;12(4):93 View
  53. Yorozuya K, Nakashima D, Fujii K, Noritake K, Kubo Y, Tsubouchi Y, Tomiyama N, Iitsuka T. Associations Between Cognitive Function and Muscle Quality Among Community-Dwelling Older Adults: A Cross-Sectional Study. Experimental Aging Research 2024:1 View

Books/Policy Documents

  1. Niwa M, Hara Y. Mobile Health (mHealth). View
  2. Lorenz T, Pleger M, Schiering I. Assistive Technologien im Sozial- und Gesundheitssektor. View