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Journal of Medical Internet Research

Citing this Article

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Published on 05.08.15 in Vol 17, No 8 (2015): August

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

Works citing "Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4761):

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

  1. Pritchard R. Revealed Preference Methods for Studying Bicycle Route Choice—A Systematic Review. International Journal of Environmental Research and Public Health 2018;15(3):470
    CrossRef
  2. Jonassaint CR, Birenboim A, Jorgensen DR, Novelli EM, Rosso AL. The association of smartphone-based activity space measures with cognitive functioning and pain sickle cell disease. British Journal of Haematology 2018;181(3):395
    CrossRef
  3. Clark BK, Winkler EA, Brakenridge CL, Trost SG, Healy GN, Harezlak J. Using Bluetooth proximity sensing to determine where office workers spend time at work. PLOS ONE 2018;13(3):e0193971
    CrossRef
  4. Dixit S, Arora NK, Rahman A, Howard NJ, Singh RK, Vaswani M, Das MK, Ahmed F, Mathur P, Tandon N, Dasgupta R, Chaturvedi S, Jethwani J, Dalpath S, Prashad R, Kumar R, Gupta R, Dube L, Daniel M. Evolution of a demographic, development and environmental geospatial surveillance platform in the context of a resource constrained environment: Methodological details and lessons from SOMAARTH DDESS, Palwal (India) (Preprint). JMIR Public Health and Surveillance 2018;
    CrossRef
  5. Magistro D, Sessa S, Kingsnorth AP, Loveday A, Simeone A, Zecca M, Esliger DW. A Novel Algorithm for Determining the Contextual Characteristics of Movement Behaviors by Combining Accelerometer Features and Wireless Beacons: Development and Implementation. JMIR mHealth and uHealth 2018;6(4):e100
    CrossRef
  6. Nooijen CFJ, Del Pozo-Cruz B, Nyberg G, Sanders T, Galanti MR, Forsell Y. Are changes in occupational physical activity level compensated by changes in exercise behavior?. European Journal of Public Health 2018;
    CrossRef
  7. Gerrits RG, Kringos DS, van den Berg MJ, Klazinga NS. Improving interpretation of publically reported statistics on health and healthcare: the Figure Interpretation Assessment Tool (FIAT-Health). Health Research Policy and Systems 2018;16(1)
    CrossRef
  8. . A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry. Sensors 2017;17(6):1277
    CrossRef
  9. Nooijen CF, Möller J, Forsell Y, Ekblom M, Galanti MR, Engström K. Do unfavourable alcohol, smoking, nutrition and physical activity predict sustained leisure time sedentary behaviour? A population-based cohort study. Preventive Medicine 2017;101:23
    CrossRef
  10. Lonini L, Reissman T, Ochoa JM, Mummidisetty CK, Kording K, Jayaraman A. Sensor Fusion to Infer Locations of Standing and Reaching Within the Home in Incomplete Spinal Cord Injury. American Journal of Physical Medicine & Rehabilitation 2017;96:S128
    CrossRef
  11. Whelan ME, Morgan PS, Sherar LB, Kingsnorth AP, Magistro D, Esliger DW. Brain Activation in Response to Personalized Behavioral and Physiological Feedback From Self-Monitoring Technology: Pilot Study. Journal of Medical Internet Research 2017;19(11):e384
    CrossRef
  12. Ceron JD, Lopez DM, Ramirez GA. A mobile system for sedentary behaviors classification based on accelerometer and location data. Computers in Industry 2017;92-93:25
    CrossRef
  13. Schrempft S, van Jaarsveld CH, Fisher A. Exploring the Potential of a Wearable Camera to Examine the Early Obesogenic Home Environment: Comparison of SenseCam Images to the Home Environment Interview. Journal of Medical Internet Research 2017;19(10):e332
    CrossRef
  14. 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
    CrossRef
  15. Sasai H. Assessing sedentary behavior using wearable devices: An overview and future directions. The Journal of Physical Fitness and Sports Medicine 2017;6(3):135
    CrossRef
  16. Loveday A, Sherar LB, Sanders JP, Sanderson PW, Esliger DW. Novel technology to help understand the context of physical activity and sedentary behaviour. Physiological Measurement 2016;37(10):1834
    CrossRef
  17. O'Reilly-Shah V, Mackey S. Survalytics: An Open-Source Cloud-Integrated Experience Sampling, Survey, and Analytics and Metadata Collection Module for Android Operating System Apps. JMIR mHealth and uHealth 2016;4(2):e46
    CrossRef
  18. Clark BK, Lynch BM, Winkler EA, Gardiner PA, Healy GN, Dunstan DW, Owen N. Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4761)

:
  1. Chastin SFM, DeCraemer M, Oppert J, Cardon G. Sedentary Behaviour Epidemiology. 2018. Chapter 26:595
    CrossRef