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Development of a Mobile Health Snacktivity App to Promote Physical Activity in Inactive Adults (SnackApp): Intervention Mapping and User Testing Study

James P Sanders, Kajal Gokal, Jonah J C Thomas, Jonathan C Rawstorn, Lauren B Sherar, Ralph Maddison, Colin J Greaves, Dale Esliger, Amanda J Daley, Snacktivity Investigators

JMIR Form Res 2023;7:e41114

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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

Maxine E Whelan, Mark W Orme, Andrew P Kingsnorth, Lauren B Sherar, Francesca L Denton, Dale W Esliger

JMIR Mhealth Uhealth 2019;7(10):e14195

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Using Digital Health Technologies to Understand the Association Between Movement Behaviors and Interstitial Glucose: Exploratory Analysis

Nevertheless, as all measurements from one study fell within zones A and B of the Parkes error grid, further investigation using larger samples are required to confirm the extent of the overestimation. Further analysis and alternative glucose monitoring technologies and future iterations of devices could perhaps ameliorate these hurdles.

Andrew P Kingsnorth, Maxine E Whelan, James P Sanders, Lauren B Sherar, Dale W Esliger

JMIR Mhealth Uhealth 2018;6(5):e114

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Findings of the Chronic Obstructive Pulmonary Disease-Sitting and Exacerbations Trial (COPD-SEAT) in Reducing Sedentary Time Using Wearable and Mobile Technologies With Educational Support: Randomized Controlled Feasibility Trial

Mark W William Orme, Amie E Weedon, Paula M Saukko, Dale W Esliger, Mike D Morgan, Michael C Steiner, John W Downey, Lauren B Sherar, Sally J Singh

JMIR Mhealth Uhealth 2018;6(4):e84

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Metadata Correction: Brain Activation in Response to Personalized Behavioral and Physiological Feedback From Self-Monitoring Technology: Pilot Study

Maxine E Whelan, Paul S Morgan, Lauren B Sherar, Andrew P Kingsnorth, Daniele Magistro, Dale W Esliger

J Med Internet Res 2017;19(12):e430

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Brain Activation in Response to Personalized Behavioral and Physiological Feedback From Self-Monitoring Technology: Pilot Study

Data were spatially aligned to the first functional image using 4th degree B-spline interpolation. Scans were then coregistered (mean functional image aligned with T1 then parameters applied to all functional images). Functional images were normalized into the Montreal Neurological Institute (MNI) standard stereotactic space with parameters applied to all functional images. A final smoothing step with a Gaussian Kernel with full width half maximum of 8 mm was applied to improve signal-to-noise ratio.

Maxine E Whelan, Paul S Morgan, Lauren B Sherar, Andrew P Kingsnorth, Daniele Magistro, Dale W Esliger

J Med Internet Res 2017;19(11):e384

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