Showing 1 - 16 results of 16 for search 'Andrew Kingsnorth' Refine Results
  1. 1
    Sensing interstitial glucose to nudge active lifestyles (SIGNAL): Feasibility of combining novel self-monitoring technologies for persuasive behaviour change
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  2. 2
    Using digital health technologies to understand the association between movement behaviors and interstitial glucose: Exploratory analysis
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  3. 3
    Changes in device-measured physical activity patterns in UK adults related to the first COVID-19 lockdown
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  4. 4
    Brain activation in response to personalized behavioral and physiological feedback from self-monitoring technology: pilot study
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  5. 5
    Metadata Correction: Brain activation in response to personalized behavioral and physiological feedback from self-monitoring technology: Pilot study
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  6. 6
    Sedentary behaviour is associated with heightened cardiovascular, inflammatory and cortisol reactivity to acute psychological stress
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  7. 7
    Interchangeability of research and commercial wearable device data for assessing associations with cardiometabolic risk markers
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  8. 8
    A novel algorithm for determining the contextual characteristics of movement behaviors by combining accelerometer features and wireless beacons: development and implementation
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  9. 9
    Examining the use of glucose and physical activity self-monitoring technologies in individuals at moderate to high risk of developing type 2 diabetes: randomized trial
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  10. 10
    Resistance to data loss from the Freestyle Libre: Impact on glucose variability indices and recommendations for data analysis
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  11. 11
    The influence of South Asian ethnicity on the incremental shuttle walk test in UK adults.
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  12. 12
    24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
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  13. 13
    A digital lifestyle behaviour change intervention for the prevention of type 2 diabetes: a qualitative study exploring intuitive engagement with real-time glucose and physical activity feedback
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  14. 14
    Can quantifying the relative intensity of a person’s free-living physical activity predict how they respond to a physical activity intervention? Findings from the PACES RCT
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  15. 15
    Physical activity and respiratory health (PhARaoH): Data from a cross-sectional study
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  16. 16
    Influence of muscle mass in the assessment of lower limb strength in COPD: validation of the prediction equation
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