Published on in Vol 7, No 1 (2019): January

How Well iPhones Measure Steps in Free-Living Conditions: Cross-Sectional Validation Study

How Well iPhones Measure Steps in Free-Living Conditions: Cross-Sectional Validation Study

How Well iPhones Measure Steps in Free-Living Conditions: Cross-Sectional Validation Study

Journals

  1. Rubin D, Dalton A, Tank A, Berkowitz M, Arnolds D, Liao C, Gerlach R. Development and Pilot Study of an iOS Smartphone Application for Perioperative Functional Capacity Assessment. Anesthesia & Analgesia 2020;131(3):830 View
  2. Amagasa S, Fukushima N, Kikuchi H, Oka K, Chastin S, Tudor-Locke C, Owen N, Inoue S. Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity. Journal of Epidemiology 2021;31(5):350 View
  3. Hall K, Hyde E, Bassett D, Carlson S, Carnethon M, Ekelund U, Evenson K, Galuska D, Kraus W, Lee I, Matthews C, Omura J, Paluch A, Thomas W, Fulton J. Systematic review of the prospective association of daily step counts with risk of mortality, cardiovascular disease, and dysglycemia. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  4. Avram R, Tison G, Aschbacher K, Kuhar P, Vittinghoff E, Butzner M, Runge R, Wu N, Pletcher M, Marcus G, Olgin J. Real-world heart rate norms in the Health eHeart study. npj Digital Medicine 2019;2(1) View
  5. Ding D, Ramirez Varela A, Bauman A, Ekelund U, Lee I, Heath G, Katzmarzyk P, Reis R, Pratt M. Towards better evidence-informed global action: lessons learnt from the Lancet series and recent developments in physical activity and public health. British Journal of Sports Medicine 2020;54(8):462 View
  6. Darvall J, Wang A, Nazeem M, Harrison C, Clarke L, Mendoza C, Parker A, Harrap B, Teale G, Story D, Hessian E. A Pedometer-Guided Physical Activity Intervention for Obese Pregnant Women (the Fit MUM Study): Randomized Feasibility Study. JMIR mHealth and uHealth 2020;8(5):e15112 View
  7. Kwan R, Liu J, Lee D, Tse C, Lee P. A validation study of the use of smartphones and wrist-worn ActiGraphs to measure physical activity at different levels of intensity and step rates in older people. Gait & Posture 2020;82:306 View
  8. Urabe Y, Maeda N, Morikawa M, Tsubaki Y, Suzuki Y, Shirakawa T. Decreasing for walking steps with collegiate students during COVID-19 pandemic in Japan –A survey based on smartphone application–. Japanese Journal of Physical Fitness and Sports Medicine 2021;70(2):175 View
  9. Reynolds R, Smith V, Macniven R, Judd J. Comparison of free‐living physical activity data obtained from a Fitbit Zip, the Apple iPhone Health app and a modified Bouchard Activity Record. Health Promotion Journal of Australia 2022;33(1):51 View
  10. KAMADA M, HAYASHI H, SHIBA K, TAGURI M, KONDO N, LEE I, KAWACHI I. Large-Scale Fandom-based Gamification Intervention to Increase Physical Activity: A Quasi-experimental Study. Medicine & Science in Sports & Exercise 2022;54(1):181 View
  11. Tong H, Quiroz J, Kocaballi A, Ijaz K, Coiera E, Chow C, Laranjo L. A personalized mobile app for physical activity: An experimental mixed-methods study. DIGITAL HEALTH 2022;8:205520762211150 View
  12. Hamaya R, Mori M, Miyake K, Lee I. Association of Smartphone‐Recorded Steps Over Years and Change in Cardiovascular Risk Factors Among Working‐Age Adults. Journal of the American Heart Association 2022;11(14) View
  13. Matias I, Daza E, Wac K. What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data. DIGITAL HEALTH 2022;8:205520762211207 View
  14. Vos A, de Bruijn G, Klein M, Lakerveld J, Boerman S, Smit E. SNapp, a Tailored Smartphone App Intervention to Promote Walking in Adults of Low Socioeconomic Position: Development and Qualitative Pilot Study. JMIR Formative Research 2023;7:e40851 View
  15. Bisson A, Sorrentino V, Lachman M. Walking and Daily Affect Among Sedentary Older Adults Measured Using the StepMATE App: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(12):e27208 View
  16. Chopra S, Larson A, Milbrandt T, Kaufman K. Outcome of bracing vs. surgical treatment in adolescents with idiopathic scoliosis based on device measured daily physical activity: a prospective pilot study. Journal of Pediatric Orthopaedics B 2023;32(6):517 View
  17. El Fatouhi D, Héritier H, Allémann C, Malisoux L, Laouali N, Riveline J, Salathé M, Fagherazzi G. Associations Between Device-Measured Physical Activity and Glycemic Control and Variability Indices Under Free-Living Conditions. Diabetes Technology & Therapeutics 2022;24(3):167 View
  18. Konda S, Ogasawara I, Fujita K, Aoyama C, Yokoyama T, Magome T, Yulong C, Hashizume K, Matsuo T, Nakata K. Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application. International Journal of Environmental Research and Public Health 2022;19(4):1958 View
  19. Alfuraih A, Alqarni M, Alhuthaili H, Mubaraki M, Alotaibi N, Almusalim F. Reproducibility and feasibility of a handheld ultrasound device compared to a standard ultrasound machine in muscle thickness measurements. Australasian Journal of Ultrasound in Medicine 2023;26(1):13 View
  20. Ho J, Goggins W, Mo P, Chan E. The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities. International Journal of Behavioral Nutrition and Physical Activity 2022;19(1) View
  21. Yao Q, Wang J, Sun Y, Zhang L, Sun S, Cheng M, Yang Q, Wang S, Huang L, Lin T, Jia Y. Accuracy of steps measured by smartphones-based WeRun compared with ActiGraph-GT3X accelerometer in free-living conditions. Frontiers in Public Health 2022;10 View
  22. Adamakis M. Validity of Wearable Monitors and Smartphone Applications for Measuring Steps in Semi-Structured and Free-Living Settings. Technologies 2023;11(1):29 View
  23. Goh C, Wang N, Müller A, Yap R, Edney S, Müller-Riemenschneider F. Validation of Smartphones and Different Low-Cost Activity Trackers for Step Counting Under Free-Living Conditions. Journal for the Measurement of Physical Behaviour 2023:1 View
  24. Shimoda M, Shimoda S. Self-affirmation enhances the intention to improve physical inactivity through health risk messages. THE JAPANESE JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY 2021;61(1):28 View
  25. Kleiman E, Glenn C, Liu R. The use of advanced technology and statistical methods to predict and prevent suicide. Nature Reviews Psychology 2023;2(6):347 View
  26. Lepp A, Smith-Ricketts J, Barkley J. COVID-19 Infection Outcomes and Physical Activity Intensity in a Sample of College Students. American Journal of Lifestyle Medicine 2023 View
  27. Ghaffari A, Kildahl Lauritsen R, Christensen M, Rolighed Thomsen T, Mahapatra H, Heck R, Kold S, Rahbek O. Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study. JMIR mHealth and uHealth 2023;11:e44442 View
  28. Yfantidou S, Sermpezis P, Vakali A, Baeza-Yates R. Uncovering Bias in Personal Informatics. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  29. Allahabadi S, Fenn T, Larson J, Zhu D, Malloy P, Nho S. A Smartphone App Shows Patients Return to Preoperative Gait Metrics 6 Weeks After Hip Arthroscopy, and Gait Metrics Have Low to Moderate Correlations With a Hip-Specific Patient-Reported Outcome Measure. Arthroscopy, Sports Medicine, and Rehabilitation 2023;5(5):100779 View
  30. Schootemeijer S, de Vries N, Macklin E, Roes K, Joosten H, Omberg L, Ascherio A, Schwarzschild M, Bloem B. The STEPWISE study: study protocol for a smartphone-based exercise solution for people with Parkinson’s Disease (randomized controlled trial). BMC Neurology 2023;23(1) View
  31. Rigot S, Maronati R, Lettenberger A, O'Brien M, Alamdari K, Hoppe-Ludwig S, McGuire M, Looft J, Wacek A, Cave J, Sauerbrey M, Jayaraman A. Validation of Proprietary and Novel Step-counting Algorithms for Individuals Ambulating With a Lower Limb Prosthesis. Archives of Physical Medicine and Rehabilitation 2024;105(3):546 View
  32. Grannell A, Hallson H, Gunlaugsson B, Jonsson H. Exercise therapy as a digital therapeutic for chronic disease management: consideration for clinical product development. Frontiers in Digital Health 2023;5 View
  33. Yamagami T, Yagi M, Tanaka S, Anzai S, Ueda T, Omori Y, Tanaka C, Shiba Y. Relationship between Cognitive Decline and Daily Life Gait among Elderly People Living in the Community: A Preliminary Report. Dementia and Geriatric Cognitive Disorders Extra 2023;13(1):1 View
  34. Matsuoka Y, Yoshida H, Hanazato M. A Smartphone-Based Shopping Mall Walking Program and Daily Walking Steps. JAMA Network Open 2024;7(1):e2353957 View
  35. Suzuki T, Rewley J, Sugibuchi K, Suzuki Y, Suzumura S, Tsurugi N, Okamura D, Node K, Mizuno A. Feedbacks Using behaviOral econOmic theories on STEP countS in Cardiovascular Disease Patients (FOOTSTEPS) Using Novel Daily Step Counts Retrieving System. International Heart Journal 2024;65(1):100 View
  36. Mizumoto A, Echizen K, Tsuji R, Takata Y, Li D. Changes in the Step Counts of University Students Living in Hokkaido during the COVID-19 Pandemic. Advances in Public Health 2024;2024:1 View