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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"

Adam Loveday, Lauren B Sherar, James P Sanders, Paul W Sanderson, Dale W Esliger

J Med Internet Res 2015 (Aug 05); 17(8):e192 

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. Dempsey PC, Hadgraft NT, Winkler EAH, Clark BK, Buman MP, Gardiner PA, Owen N, Lynch BM, Dunstan DW. Associations of context-specific sitting time with markers of cardiometabolic risk in Australian adults. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1)
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  2. Tedesco S, Barton J, O’Flynn B. A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry. Sensors 2017;17(6):1277
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  3. Pritchard R, Bucher D, Frøyen Y. Does new bicycle infrastructure result in new or rerouted bicyclists? A longitudinal GPS study in Oslo. Journal of Transport Geography 2019;77:113
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  4. Wood CJ, Smyth N. The health impact of nature exposure and green exercise across the life course: a pilot study. International Journal of Environmental Health Research 2020;30(2):226
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  5. . Revealed Preference Methods for Studying Bicycle Route Choice—A Systematic Review. International Journal of Environmental Research and Public Health 2018;15(3):470
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  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;28(5):940
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  7. Smith C, Galland BC, de Bruin WE, Taylor RW. Feasibility of Automated Cameras to Measure Screen Use in Adolescents. American Journal of Preventive Medicine 2019;57(3):417
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  8. . Assessing sedentary behavior using wearable devices: An overview and future directions. The Journal of Physical Fitness and Sports Medicine 2017;6(3):135
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  9. Lee JH, Park YR, Kweon S, Kim S, Ji W, Choi C. A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study. JMIR mHealth and uHealth 2018;6(11):e12048
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  10. Barnett TA, Kelly AS, Young DR, Perry CK, Pratt CA, Edwards NM, Rao G, Vos MB. Sedentary Behaviors in Today’s Youth: Approaches to the Prevention and Management of Childhood Obesity: A Scientific Statement From the American Heart Association. Circulation 2018;138(11)
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  11. Giurgiu M, Niermann C, Ebner-Priemer U, Kanning M. Accuracy of Sedentary Behavior–Triggered Ecological Momentary Assessment for Collecting Contextual Information: Development and Feasibility Study. JMIR mHealth and uHealth 2020;8(9):e17852
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  12. 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
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  13. Carlson JA, Hipp JA, Kerr J, Horowitz TS, Berrigan D. Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images. Journal for the Measurement of Physical Behaviour 2018;1(3):143
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  14. Fiorini L, Bonaccorsi M, Betti S, Esposito D, Cavallo F. Combining wearable physiological and inertial sensors with indoor user localization network to enhance activity recognition. Journal of Ambient Intelligence and Smart Environments 2018;10(4):345
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  15. 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
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  16. Smith L, Foley L, Panter J. Activity spaces in studies of the environment and physical activity: A review and synthesis of implications for causality. Health & Place 2019;58:102113
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  17. Dixit S, Arora NK, Rahman A, Howard NJ, Singh RK, Vaswani M, Das MK, Ahmed F, Mathur P, Tandon N, Dasgupta R, Chaturvedi S, Jethwaney J, Dalpath S, Prashad R, Kumar R, Gupta R, Dube L, Daniel M. Establishing a Demographic, Development and Environmental Geospatial Surveillance Platform in India: Planning and Implementation. JMIR Public Health and Surveillance 2018;4(4):e66
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  18. GIURGIU M, KOCH ED, PLOTNIKOFF RC, EBNER-PRIEMER UW, REICHERT M. Breaking Up Sedentary Behavior Optimally to Enhance Mood. Medicine & Science in Sports & Exercise 2020;52(2):457
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  19. 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
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  20. 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(10):S128
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  21. 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)
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  22. 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
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  23. 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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  24. Goodspeed R, Yan X, Hardy J, Vydiswaran VV, Berrocal VJ, Clarke P, Romero DM, Gomez-Lopez IN, Veinot T. Comparing the Data Quality of Global Positioning System Devices and Mobile Phones for Assessing Relationships Between Place, Mobility, and Health: Field Study. JMIR mHealth and uHealth 2018;6(8):e168
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  25. 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
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  26. Cabrita M, op den Akker H, Tabak M, Hermens HJ, Vollenbroek-Hutten MM. Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. Journal of Biomedical Informatics 2018;84:17
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  27. 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
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  28. 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
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  29. FM Chastin S, A Harvey J, M Dall P, McInally L, Mavroeidi A, A Skelton D. Beyond “#endpjparalysis”, tackling sedentary behaviour in health care. AIMS Medical Science 2019;6(1):67
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  30. 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
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  31. Gough C, Weber H, George S, Maeder A, Lewis L. Location monitoring of physical activity and participation in community dwelling older people: a scoping review. Disability and Rehabilitation 2021;43(2):270
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  32. Giurgiu M, Bussmann JB, Hill H, Anedda B, Kronenwett M, Koch ED, Ebner-Priemer UW, Reichert M. Validating Accelerometers for the Assessment of Body Position and Sedentary Behavior. Journal for the Measurement of Physical Behaviour 2020;3(3):253
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  33. 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)
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  34. Everson B, Mackintosh KA, McNarry MA, Todd C, Stratton G. Can Wearable Cameras be Used to Validate School-Aged Children’s Lifestyle Behaviours?. Children 2019;6(2):20
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  35. Wood , Barron , Smyth . The Current and Retrospective Intentional Nature Exposure Scales: Development and Factorial Validity. International Journal of Environmental Research and Public Health 2019;16(22):4443
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  36. 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
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  37. Boissy P, Blamoutier M, Brière S, Duval C. Quantification of Free-Living Community Mobility in Healthy Older Adults Using Wearable Sensors. Frontiers in Public Health 2018;6
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  38. Sheldrick , Maitland , Mackintosh , Rosenberg , Griffiths , Fry , Stratton . Associations between the Home Physical Environment and Children’s Home-Based Physical Activity and Sitting. International Journal of Environmental Research and Public Health 2019;16(21):4178
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  39. Katapally TR, Bhawra J, Patel P. A systematic review of the evolution of GPS use in active living research: A state of the evidence for research, policy, and practice. Health & Place 2020;66:102453
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  40. Yang C, Maher JP, Ponnada A, Dzubur E, Nordgren R, Intille S, Hedeker D, Dunton GF. An empirical example of analysis using a two-stage modeling approach: within-subject association of outdoor context and physical activity predicts future daily physical activity levels. Translational Behavioral Medicine 2021;11(4):912
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  41. Pollard B, Held F, Engelen L, Powell L, de Dear R. Data fusion in buildings: Synthesis of high-resolution IEQ and occupant tracking data. Science of The Total Environment 2021;776:146047
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  42. Trecarten N, Kirkland S, Rainham D, Giacomantonio N, McGowan E, Murnaghan D, Reid R, King-Shier K, Spence JC, Warburton D, Rhodes RE, Blanchard CM. Location-Based Sedentary Time and Physical Activity in People Living With Coronary Artery Disease. Journal of Cardiopulmonary Rehabilitation and Prevention 2021;41(4):337
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  43. Rey-Merchán MDC, Gómez-de-Gabriel JM, López-Arquillos A, Fernández-Madrigal JA. Virtual Fence System Based on IoT Paradigm to Prevent Occupational Accidents in the Construction Sector. International Journal of Environmental Research and Public Health 2021;18(13):6839
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  44. Lawrence D, Hunter SC, Cunneen R, Houghton SJ, Zadow C, Rosenberg M, Wood L, Shilton T. Reciprocal Relationships between Trajectories of Loneliness and Screen Media Use during Adolescence. Journal of Child and Family Studies 2022;31(5):1306
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  45. Zhu X, Tao Y, Zhu R, Wu D, Ming W. Impact of Hospital Characteristics and Governance Structure on the Adoption of Tracking Technologies for Clinical and Supply Chain Use: Longitudinal Study of US Hospitals. Journal of Medical Internet Research 2022;24(5):e33742
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  46. Rout A, Nitoslawski S, Ladle A, Galpern P. Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches. Computers, Environment and Urban Systems 2021;90:101705
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  47. Pollard B, Van Buskirk J, Engelen L, Held F, de Dear R. How many days of indoor positioning system data are required to characterise typical movement behaviours of office workers?. Applied Ergonomics 2023;106:103915
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  48. Pollard B, Engelen L, Held F, de Dear R. Activity space, office space: Measuring the spatial movement of office workers. Applied Ergonomics 2022;98:103600
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  49. Meyer LE, Porter L, Reilly ME, Johnson C, Safir S, Greenfield SF, Silverman BC, Hudson JI, Javaras KN. Using wearable cameras to investigate health-related daily life experiences: A literature review of precautions and risks in empirical studies. Research Ethics 2022;18(1):64
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  50. Thomas G, Bennie JA, De Cocker K, Dwi Andriyani F, Booker B, Biddle SJH. Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study. JMIR Pediatrics and Parenting 2022;5(1):e28208
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  51. Hu M, Gremel GW, Kirlin JA, West BT. Nonresponse and Underreporting Errors Increase over the Data Collection Week Based on Paradata from the National Household Food Acquisition and Purchase Survey. The Journal of Nutrition 2017;147(5):964
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  52. Picanço A, Arroz AM, Tsafack N, Sánchez AF, Pereira E, De Benedictis M, Amorim IR, da Luz Melo M, Gabriel R. Assessing nature exposure: a study on the reliability and validity of a Portuguese version of the nature exposure scale. Frontiers in Psychology 2024;15
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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
  2. Armstrong N, van Mechelen W, Sherar LB, Cumming SP. Oxford Textbook of Children's Sport and Exercise Medicine. 2017. :225
    CrossRef
  3. Chastin SFM, Compernolle S, De Craemer M, Oppert J, Cardon G. Sedentary Behaviour Epidemiology. 2023. Chapter 26:747
    CrossRef