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

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

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

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

Journals

  1. Dempsey P, Hadgraft N, Winkler E, Clark B, Buman M, Gardiner P, Owen N, Lynch B, Dunstan D. 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) View
  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 View
  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 View
  4. Wood C, 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 View
  5. 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 View
  6. Nooijen C, Del Pozo-Cruz B, Nyberg G, Sanders T, Galanti M, Forsell Y. Are changes in occupational physical activity level compensated by changes in exercise behavior?. European Journal of Public Health 2018;28(5):940 View
  7. Smith C, Galland B, de Bruin W, Taylor R. Feasibility of Automated Cameras to Measure Screen Use in Adolescents. American Journal of Preventive Medicine 2019;57(3):417 View
  8. 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 View
  9. Lee J, Park Y, 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 View
  10. Barnett T, Kelly A, Young D, Perry C, Pratt C, Edwards N, Rao G, Vos M. 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) View
  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 View
  12. Jonassaint C, Birenboim A, Jorgensen D, Novelli E, Rosso A. The association of smartphone‐based activity space measures with cognitive functioning and pain sickle cell disease. British Journal of Haematology 2018;181(3):395 View
  13. Carlson J, Hipp J, Kerr J, Horowitz T, 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 View
  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 View
  15. Nooijen C, Möller J, Forsell Y, Ekblom M, Galanti M, 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 View
  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 View
  17. Dixit S, Arora N, Rahman A, Howard N, Singh R, Vaswani M, Das M, 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 View
  18. GIURGIU M, KOCH E, PLOTNIKOFF R, EBNER-PRIEMER U, REICHERT M. Breaking Up Sedentary Behavior Optimally to Enhance Mood. Medicine & Science in Sports & Exercise 2020;52(2):457 View
  19. Loveday A, Sherar L, Sanders J, Sanderson P, Esliger D. Novel technology to help understand the context of physical activity and sedentary behaviour. Physiological Measurement 2016;37(10):1834 View
  20. Lonini L, Reissman T, Ochoa J, Mummidisetty C, 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 View
  21. Gerrits R, Kringos D, van den Berg M, Klazinga N. 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) View
  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 View
  23. Turner M, Nieuwenhuijsen M, Anderson K, Balshaw D, Cui Y, Dunton G, Hoppin J, 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 View
  24. Goodspeed R, Yan X, Hardy J, Vydiswaran V, Berrocal V, Clarke P, Romero D, Gomez-Lopez I, 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 View
  25. Magistro D, Sessa S, Kingsnorth A, Loveday A, Simeone A, Zecca M, Esliger D. 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 View
  26. Cabrita M, op den Akker H, Tabak M, Hermens H, Vollenbroek-Hutten M. Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. Journal of Biomedical Informatics 2018;84:17 View
  27. Schrempft S, van Jaarsveld C, 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 View
  28. Ceron J, Lopez D, Ramirez G. A mobile system for sedentary behaviors classification based on accelerometer and location data. Computers in Industry 2017;92-93:25 View
  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 View
  30. Whelan M, Morgan P, Sherar L, Kingsnorth A, Magistro D, Esliger D. 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 View
  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 View
  32. Giurgiu M, Bussmann J, Hill H, Anedda B, Kronenwett M, Koch E, Ebner-Priemer U, Reichert M. Validating Accelerometers for the Assessment of Body Position and Sedentary Behavior. Journal for the Measurement of Physical Behaviour 2020;3(3):253 View
  33. Clark B, Lynch B, Winkler E, Gardiner P, Healy G, Dunstan D, 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) View
  34. Everson B, Mackintosh K, McNarry M, Todd C, Stratton G. Can Wearable Cameras be Used to Validate School-Aged Children’s Lifestyle Behaviours?. Children 2019;6(2):20 View
  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 View
  36. Clark B, Winkler E, Brakenridge C, Trost S, Healy G, Harezlak J. Using Bluetooth proximity sensing to determine where office workers spend time at work. PLOS ONE 2018;13(3):e0193971 View
  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 View
  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 View
  39. Katapally T, 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 View
  40. Yang C, Maher J, Ponnada A, Dzubur E, Nordgren R, Intille S, Hedeker D, Dunton G. 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 View
  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 View
  42. Trecarten N, Kirkland S, Rainham D, Giacomantonio N, McGowan E, Murnaghan D, Reid R, King-Shier K, Spence J, Warburton D, Rhodes R, Blanchard C. Location-Based Sedentary Time and Physical Activity in People Living With Coronary Artery Disease. Journal of Cardiopulmonary Rehabilitation and Prevention 2021;41(4):337 View
  43. Rey-Merchán M, Gómez-de-Gabriel J, López-Arquillos A, Fernández-Madrigal J. 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 View
  44. Lawrence D, Hunter S, Cunneen R, Houghton S, 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 View
  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 View
  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 View
  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 View
  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 View
  49. Meyer L, Porter L, Reilly M, Johnson C, Safir S, Greenfield S, Silverman B, Hudson J, Javaras K. 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 View
  50. Thomas G, Bennie J, De Cocker K, Dwi Andriyani F, Booker B, Biddle S. 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 View
  51. Hu M, Gremel G, Kirlin J, West B. 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 View
  52. Picanço A, Arroz A, Tsafack N, Sánchez A, Pereira E, De Benedictis M, Amorim I, 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 View

Books/Policy Documents

  1. Chastin S, DeCraemer M, Oppert J, Cardon G. Sedentary Behaviour Epidemiology. View
  2. Armstrong N, van Mechelen W, Sherar L, Cumming S. Oxford Textbook of Children's Sport and Exercise Medicine. View
  3. Chastin S, Compernolle S, De Craemer M, Oppert J, Cardon G. Sedentary Behaviour Epidemiology. View