Diabetes Prevention

A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study

Rasha Hendawi, Juan Li, Souradip Roy

JMIR Form Res 2023 (Nov 13); 7:e50328

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Design and Early Use of the Nationally Implemented Healthier You National Health Service Digital Diabetes Prevention Programme: Mixed Methods Study

Jamie Ross, Rhiannon E Hawkes, Lisa M Miles, Sarah Cotterill, Peter Bower, Elizabeth Murray

J Med Internet Res 2023 (Aug 17); 25:e47436

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Associations Between Frailty and the Increased Risk of Adverse Outcomes Among 38,950 UK Biobank Participants With Prediabetes: Prospective Cohort Study

Xingqi Cao, Xueqin Li, Jingyun Zhang, Xiaoyi Sun, Gan Yang, Yining Zhao, Shujuan Li, Emiel O Hoogendijk, Xiaofeng Wang, Yimin Zhu, Heather Allore, Thomas M Gill, Zuyun Liu

JMIR Public Health Surveill 2023 (May 18); 9:e45502

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Prediction of Weight Loss to Decrease the Risk for Type 2 Diabetes Using Multidimensional Data in Filipino Americans: Secondary Analysis

Lisa Chang, Yoshimi Fukuoka, Bradley E Aouizerat, Li Zhang, Elena Flowers

JMIR Diabetes 2023 (Apr 11); 8:e44018

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Identification of Patients With Elevated Urine Albumin–to-Creatinine Ratio Levels in a Type 2 Diabetes Mellitus Cohort Based on Data Submitted by Patients via a Smartphone App (SMART-Finder): Protocol for an Observational Study

Christian Mueller, Markus Schürks, Thomas Neußer, Uschi von der Osten, Daniela Weihermüller, Ira von Arnim, Stephan Martin

JMIR Res Protoc 2023 (Apr 05); 12:e44996

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Influences on Patient Uptake of and Engagement With the National Health Service Digital Diabetes Prevention Programme: Qualitative Interview Study

Jamie Ross, Sarah Cotterill, Peter Bower, Elizabeth Murray

J Med Internet Res 2023 (Feb 28); 25:e40961

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How the Behavior Change Content of a Nationally Implemented Digital Diabetes Prevention Program Is Understood and Used by Participants: Qualitative Study of Fidelity of Receipt and Enactment

Lisa M Miles, Rhiannon E Hawkes, David P French

J Med Internet Res 2023 (Jan 11); 25:e41214

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Independent and Joint Associations of BMI and Waist Circumference With the Onset of Type 2 Diabetes Mellitus in Chinese Adults: Prospective Data Linkage Study

Sixuan Li, Yong Wang, Yanyan Ying, Qinghai Gong, Ge Lou, Yang Liu, Shiwei Liu, Hui Li

JMIR Public Health Surveill 2023 (Jan 11); 9:e39459

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Improved Glycemia and Quality of Life Among Loop Users: Analysis of Real-world Data From a Single Center

Amy E Morrison, Kimberley Chong, Valerie Lai, Kate Farnsworth, Peter A Senior, Anna Lam

JMIR Diabetes 2022 (Oct 24); 7(4):e40326

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Medication Adherence and Cardiometabolic Control Indicators Among American Indian Adults Receiving Tribal Health Services: Protocol for a Longitudinal Electronic Health Records Study

Lisa Scarton, Tarah Nelson, Yingwei Yao, Richard Segal, William T Donahoo, R Turner Goins, Ashley DeVaughan-Circles, Spero M Manson, Diana J Wilkie

JMIR Res Protoc 2022 (Oct 24); 11(10):e39193

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A Mobile Phone App for the Prevention of Type 2 Diabetes in Malaysian Women With Gestational Diabetes Mellitus: Protocol for a Feasibility Randomized Controlled Trial

Madeleine Benton, Iklil Iman, Kimberley Goldsmith, Angus Forbes, Siew Mooi Ching, Iliatha Papachristou Nadal, Nicola Guess, Helen R Murphy, Barakatun-Nisak Mohd Yusof, Anisah Baharom, Nur Hafizah Mahamad Sobri, Nurul Iftida Basri, Mazatulfazura Sf Salim, Irmi Zarina Ismail, Faezah Hassan, Khalida Ismail, Boon How Chew

JMIR Res Protoc 2022 (Sep 08); 11(9):e37288

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Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study

Vera Helen Buss, Marlien Varnfield, Mark Harris, Margo Barr

JMIR Mhealth Uhealth 2022 (Sep 07); 10(9):e37343

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Type 1 Diabetes Hypoglycemia Prediction Algorithms: Systematic Review

Stella Tsichlaki, Lefteris Koumakis, Manolis Tsiknakis

JMIR Diabetes 2022 (Jul 21); 7(3):e34699

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Machine Learning–Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development Study

Mukkesh Kumar, Li Ting Ang, Cindy Ho, Shu E Soh, Kok Hian Tan, Jerry Kok Yen Chan, Keith M Godfrey, Shiao-Yng Chan, Yap Seng Chong, Johan G Eriksson, Mengling Feng, Neerja Karnani

JMIR Diabetes 2022 (Jul 05); 7(3):e32366

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Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial

Vera Helen Buss, Marlien Varnfield, Mark Harris, Margo Barr

JMIR Hum Factors 2022 (Jul 01); 9(3):e38469

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A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study

Vera Helen Buss, Marlien Varnfield, Mark Harris, Margo Barr

JMIR Hum Factors 2022 (May 10); 9(2):e35065

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Fidelity to Program Specification of the National Health Service Digital Diabetes Prevention Program Behavior Change Technique Content and Underpinning Theory: Document Analysis

Rhiannon E Hawkes, Lisa M Miles, David P French

J Med Internet Res 2022 (Apr 27); 24(4):e34253

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Developing Mobile Health Interventions With Implementation in Mind: Application of the Multiphase Optimization Strategy (MOST) Preparation Phase to Diabetes Prevention Programming

Megan MacPherson, Kohle Merry, Sean Locke, Mary Jung

JMIR Form Res 2022 (Apr 26); 6(4):e36143

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From the United Kingdom to Australia—Adapting a Web-Based Self-management Education Program to Support the Management of Type 2 Diabetes: Tutorial

Jenny Olson, Michelle Hadjiconstantinou, Carly Luff, Karen Watts, Natasha Watson, Venus Miller, Deborah Schofield, Kamlesh Khunti, Melanie J Davies, Sara Calginari

J Med Internet Res 2022 (Apr 20); 24(4):e26339

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Medication Optimization Among People With Type 2 Diabetes Participating in a Continuous Glucose Monitoring–Driven Virtual Care Program: Prospective Study

Amit R Majithia, David M Erani, Coco M Kusiak, Jennifer E Layne, Amy Armento Lee, Francis R Colangelo, Robert J Romanelli, Scott Robertson, Shayla M Brown, Ronald F Dixon, Howard Zisser

JMIR Form Res 2022 (Apr 05); 6(4):e31629

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