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

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

Compared with uninterrupted sitting, both activity conditions lowered the net glucose response to a standardized drink (light: −1.7 mmol/L; moderate: −2.0 mmol/L) [9].

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

JMIR Mhealth Uhealth 2018;6(5):e114

Detection of Spatiotemporal Prescription Opioid Hot Spots With Network Scan Statistics: Multistate Analysis

Detection of Spatiotemporal Prescription Opioid Hot Spots With Network Scan Statistics: Multistate Analysis

and North Carolina in the Multimedia Appendix 1.Significant Clusters in VirginiaLocation and Characteristics Based on Opioid Beneficiary CountsFigure 1 shows the clusters for different years, discovered using the network-based approach (left) and SaTScan (Martin

Arinjoy Basak, Jose Cadena, Achla Marathe, Anil Vullikanti

JMIR Public Health Surveill 2019;5(2):e12110

Lifestyle Intervention Enabled by Mobile Technology on Weight Loss in Patients With Nonalcoholic Fatty Liver Disease: Randomized Controlled Trial

Lifestyle Intervention Enabled by Mobile Technology on Weight Loss in Patients With Nonalcoholic Fatty Liver Disease: Randomized Controlled Trial

10.1)46.8 (11.1).7646.1 (10.3)46.2 (11.0).96Weight (kg)86.1 (19.4)81.5 (15.2).1786.6 (19.6)82.0 (15.7).20BMIb (kg/m2)30.8 (4.8)30.1 (4.0).0430.9 (4.8)30.1 (4.1).37Waist circumference (cm), mean (SD)101.7 (11.4)98.6 (9.0).14101.9 (11.6)98.9 (10.2).17ALTc (IU/L)

Su Lin Lim, Jolyn Johal, Kai Wen Ong, Chad Yixian Han, Yiong Huak Chan, Yin Mei Lee, Wai Mun Loo

JMIR Mhealth Uhealth 2020;8(4):e14802

Correction: Evaluation of a Mobile App to Enhance Relational Awareness and Change During Cognitive Analytic Therapy: Mixed Methods Case Series

Correction: Evaluation of a Mobile App to Enhance Relational Awareness and Change During Cognitive Analytic Therapy: Mixed Methods Case Series

The original paper listed the authors and affiliations as follows:Stephen Kellett1, BSc, MSc, D Clin; Katherine Easton2, BSc, MRes, PhD; Martin Cooper3, BA, MSc; Abigail Millings2, BSc, PhD; Melanie Simmonds-Buckley2, BSc, PhD; Glenys Parry2, BA, PhD1Sheffield

Stephen Kellett, Katherine Easton, Martin Cooper, Abigail Millings, Melanie Simmonds-Buckley, Glenys Parry

JMIR Ment Health 2021;8(1):e27159

Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus

Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus

glycemic curve 2 hours after the start of the meal ([mmol/L]/hour);BG60: blood glucose level 1 hour after the start of the meal (mmol/L); andPeak BG: peak value on a postprandial BG curve (mmol/L).Step 5The resulting data were supplemented by the data used

Evgenii Pustozerov, Polina Popova, Aleksandra Tkachuk, Yana Bolotko, Zafar Yuldashev, Elena Grineva

JMIR Mhealth Uhealth 2018;6(1):e6