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Citing this Article

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Published on 13.06.13 in Vol 15, No 6 (2013): June

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

Works citing "Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph"

David Donaire-Gonzalez, Audrey de Nazelle, Edmund Seto, Michelle Mendez, Mark J Nieuwenhuijsen, Michael Jerrett

J Med Internet Res 2013 (Jun 13); 15(6):e111 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2470):

(note that this is only a small subset of citations)

  1. Bort-Roig J, Gilson ND, Puig-Ribera A, Contreras RS, Trost SG. Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review. Sports Medicine 2014;44(5):671
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  2. Zhai Y, Nasseri N, Pöttgen J, Gezhelbash E, Heesen C, Stellmann J. Smartphone Accelerometry: A Smart and Reliable Measurement of Real-Life Physical Activity in Multiple Sclerosis and Healthy Individuals. Frontiers in Neurology 2020;11
    CrossRef
  3. Turner MC, Nieuwenhuijsen M, Anderson K, Balshaw D, Cui Y, Dunton G, Hoppin JA, Koutrakis P, Jerrett M. Assessing the Exposome with External Measures: Commentary on the State of the Science and Research Recommendations. Annual Review of Public Health 2017;38(1):215
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  4. . Built Environment Interventions to Increase Active Travel: a Critical Review and Discussion. Current Environmental Health Reports 2019;6(4):309
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  5. Seto E, Hua J, Wu L, Shia V, Eom S, Wang M, Li Y, Yao L. Models of Individual Dietary Behavior Based on Smartphone Data: The Influence of Routine, Physical Activity, Emotion, and Food Environment. PLOS ONE 2016;11(4):e0153085
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  6. Li P, Wang Y, Tian Y, Zhou T, Li J. An Automatic User-adapted Physical Activity Classification Method Using Smartphones. IEEE Transactions on Biomedical Engineering 2016;:1
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  7. Gascon M, Zijlema W, Vert C, White MP, Nieuwenhuijsen MJ. Outdoor blue spaces, human health and well-being: A systematic review of quantitative studies. International Journal of Hygiene and Environmental Health 2017;220(8):1207
    CrossRef
  8. Sullivan AN, Lachman ME. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Frontiers in Public Health 2017;4
    CrossRef
  9. Jerrett M, Donaire-Gonzalez D, Popoola O, Jones R, Cohen RC, Almanza E, de Nazelle A, Mead I, Carrasco-Turigas G, Cole-Hunter T, Triguero-Mas M, Seto E, Nieuwenhuijsen M. Validating novel air pollution sensors to improve exposure estimates for epidemiological analyses and citizen science. Environmental Research 2017;158:286
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  10. Jung-Min Lee , Gregory J. Welk , Timothy R. Derrick , Young-Won Kim , 권이석 . Feasibility of Calibrating Smartphone to Access Physical Activity. The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science 2015;17(3):49
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  11. Barrett MA, Humblet O, Hiatt RA, Adler NE. Big Data and Disease Prevention: From Quantified Self to Quantified Communities. Big Data 2013;1(3):168
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  12. Pah AR, Rasmussen-Torvik LJ, Goel S, Greenland P, Kho AN. Big Data: What Is It and What Does It Mean for Cardiovascular Research and Prevention Policy. Current Cardiovascular Risk Reports 2015;9(1)
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  13. Aranki D, Kurillo G, Yan P, Liebovitz DM, Bajcsy R. Real-Time Tele-Monitoring of Patients with Chronic Heart-Failure Using a Smartphone: Lessons Learned. IEEE Transactions on Affective Computing 2016;7(3):206
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  14. Lee W, Seto E, Lin K, Migliaccio GC. An evaluation of wearable sensors and their placements for analyzing construction worker's trunk posture in laboratory conditions. Applied Ergonomics 2017;65:424
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  15. Chapizanis D, Karakitsios S, Gotti A, Sarigiannis DA. Assessing personal exposure using Agent Based Modelling informed by sensors technology. Environmental Research 2021;192:110141
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  16. Rodriguez V, Medrano C, Plaza I, Corella C, Abarca A, Julian J. Comparison of Several Algorithms to Estimate Activity Counts with Smartphones as an Indication of Physical Activity Level. IRBM 2019;40(2):95
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  17. Triguero-Mas M, Donaire-Gonzalez D, Seto E, Valentín A, Smith G, Martínez D, Carrasco-Turigas G, Masterson D, Van den Berg M, Ambròs A, Martínez-Íñiguez T, Dedele A, Hurst G, Ellis N, Grazulevicius T, Voorsmit M, Cirach M, Cirac-Claveras J, Swart W, Clasquin E, Maas J, Wendel-Vos W, Jerrett M, Gražulevičienė R, Kruize H, Gidlow CJ, Nieuwenhuijsen MJ. Living Close to Natural Outdoor Environments in Four European Cities: Adults’ Contact with the Environments and Physical Activity. International Journal of Environmental Research and Public Health 2017;14(10):1162
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  18. Donaire-Gonzalez D, Valentín A, van Nunen E, Curto A, Rodriguez A, Fernandez-Nieto M, Naccarati A, Tarallo S, Tsai M, Probst-Hensch N, Vermeulen R, Hoek G, Vineis P, Gulliver J, Nieuwenhuijsen MJ. ExpoApp: An integrated system to assess multiple personal environmental exposures. Environment International 2019;126:494
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  19. Dowd KP, Szeklicki R, Minetto MA, Murphy MH, Polito A, Ghigo E, van der Ploeg H, Ekelund U, Maciaszek J, Stemplewski R, Tomczak M, Donnelly AE. A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1)
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  20. Nieuwenhuijsen M, Donaire-Gonzalez D, Foraster M, Martinez D, Cisneros A. Using Personal Sensors to Assess the Exposome and Acute Health Effects. International Journal of Environmental Research and Public Health 2014;11(8):7805
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  21. Pande A, Mohapatra P, Nicorici A, Han JJ. Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e7
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  22. Wan N, Wen M, Fan JX, Tavake-Pasi OF, McCormick S, Elliott K, Nicolosi E. Physical Activity Barriers and Facilitators Among US Pacific Islanders and the Feasibility of Using Mobile Technologies for Intervention: A Focus Group Study With Tongan Americans. Journal of Physical Activity and Health 2018;15(4):287
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  23. Donaire-Gonzalez D, Valentín A, de Nazelle A, Ambros A, Carrasco-Turigas G, Seto E, Jerrett M, Nieuwenhuijsen MJ. Benefits of Mobile Phone Technology for Personal Environmental Monitoring. JMIR mHealth and uHealth 2016;4(4):e126
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  24. Kondo MC, Triguero-Mas M, Donaire-Gonzalez D, Seto E, Valentín A, Hurst G, Carrasco-Turigas G, Masterson D, Ambròs A, Ellis N, Swart W, Davis N, Maas J, Jerrett M, Gidlow CJ, Nieuwenhuijsen MJ. Momentary mood response to natural outdoor environments in four European cities. Environment International 2020;134:105237
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  25. Maddison R, Gemming L, Monedero J, Bolger L, Belton S, Issartel J, Marsh S, Direito A, Solenhill M, Zhao J, Exeter DJ, Vathsangam H, Rawstorn JC. Quantifying Human Movement Using the Movn Smartphone App: Validation and Field Study. JMIR mHealth and uHealth 2017;5(8):e122
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  26. Donaire-Gonzalez D, Curto A, Valentín A, Andrusaityte S, Basagaña X, Casas M, Chatzi L, de Bont J, de Castro M, Dedele A, Granum B, Grazuleviciene R, Kampouri M, Lyon-Caen S, Manzano-Salgado CB, Aasvang GM, McEachan R, Meinhard-Kjellstad CH, Michalaki E, Pañella P, Petraviciene I, Schwarze PE, Slama R, Robinson O, Tamayo-Uria I, Vafeiadi M, Waiblinger D, Wright J, Vrijheid M, Nieuwenhuijsen MJ. Personal assessment of the external exposome during pregnancy and childhood in Europe.. Environmental Research 2019;174:95
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  27. Su JG, Jerrett M, Meng Y, Pickett M, Ritz B. Integrating smart-phone based momentary location tracking with fixed site air quality monitoring for personal exposure assessment. Science of The Total Environment 2015;506-507:518
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  28. Mimura K, Kishino H, Karino G, Nitta E, Senoo A, Ikegami K, Kunikata T, Yamanouchi H, Nakamura S, Sato K, Koshiba M. Potential of a smartphone as a stress-free sensor of daily human behaviour. Behavioural Brain Research 2015;276:181
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  29. Smith MP, Standl M, Heinrich J, Schulz H, Buchowski M. Accelerometric estimates of physical activity vary unstably with data handling. PLOS ONE 2017;12(11):e0187706
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  30. Dėdelė A, Miškinytė A, Gražulevičienė R. The impact of particulate matter on allergy risk among adults: integrated exposure assessment. Environmental Science and Pollution Research 2019;26(10):10070
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  31. Nieuwenhuijsen MJ, Donaire-Gonzalez D, Rivas I, de Castro M, Cirach M, Hoek G, Seto E, Jerrett M, Sunyer J. Variability in and Agreement between Modeled and Personal Continuously Measured Black Carbon Levels Using Novel Smartphone and Sensor Technologies. Environmental Science & Technology 2015;49(5):2977
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  32. Lee W, Lin K, Seto E, Migliaccio GC. Wearable sensors for monitoring on-duty and off-duty worker physiological status and activities in construction. Automation in Construction 2017;83:341
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  33. Triguero-Mas M, Donaire-Gonzalez D, Seto E, Valentín A, Martínez D, Smith G, Hurst G, Carrasco-Turigas G, Masterson D, van den Berg M, Ambròs A, Martínez-Íñiguez T, Dedele A, Ellis N, Grazulevicius T, Voorsmit M, Cirach M, Cirac-Claveras J, Swart W, Clasquin E, Ruijsbroek A, Maas J, Jerret M, Gražulevičienė R, Kruize H, Gidlow CJ, Nieuwenhuijsen MJ. Natural outdoor environments and mental health: Stress as a possible mechanism. Environmental Research 2017;159:629
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  34. Dunton GF, Dzubur E, Intille S. Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity. Journal of Medical Internet Research 2016;18(6):e106
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  35. Stålesen J, Westergren T, Herman Hansen B, Berntsen S. A Mapping Review of Physical Activity Recordings Derived From Smartphone Accelerometers. Journal of Physical Activity and Health 2020;17(11):1184
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  36. Ho JY, Zijlema WL, Triguero-Mas M, Donaire-Gonzalez D, Valentín A, Ballester J, Chan EY, Goggins WB, Mo PK, Kruize H, van den Berg M, Gražuleviciene R, Gidlow CJ, Jerrett M, Seto EY, Barrera-Gómez J, Nieuwenhuijsen MJ. Does surrounding greenness moderate the relationship between apparent temperature and physical activity? Findings from the PHENOTYPE project. Environmental Research 2021;197:110992
    CrossRef
  37. Prado RCR, Knebel MTG, Ribeiro EHC, Teixeira IP, Sasaki JE, Araújo LVD, Guerra PH, Florindo AA. Smartphone apps for tracking physical activity and sedentary behavior: A criterion validity review. Revista Brasileira de Atividade Física & Saúde 2022;27:1
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  38. 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
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  39. Yu H, Xu T, Chen J, Yin W, Ye F. Association of inflammation and lung function decline caused by personal PM2.5 exposure: a machine learning approach in time-series data. Environmental Science and Pollution Research 2022;29(53):80436
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  40. Arumugam A, Samara SS, Shalash RJ, Qadah RM, Farhani AM, Alnajim HM, Alkalih HY. Does Google Fit provide valid energy expenditure measurements of functional tasks compared to those of Fibion accelerometer in healthy individuals? A cross-sectional study. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2021;15(6):102301
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2470):

  1. . Advances in Transportation and Health. 2020. :293
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  2. Aranki D, Kurillo G, Bajcsy R. Handbook of Large-Scale Distributed Computing in Smart Healthcare. 2017. Chapter 18:473
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