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Novel Digital Architecture of a “Low Carb Program” for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes

Novel Digital Architecture of a “Low Carb Program” for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes

BackgroundThe prevalence of both prediabetes and type 2 diabetes is increasing globally. Currently, 4 million people are diagnosed with diabetes in the United Kingdom, 90% of whom have type 2 diabetes.

Charlotte Summers, Kristina Curtis

JMIR Diabetes 2020;5(1):e15030

A Self-Regulation–Based eHealth and mHealth Intervention for an Active Lifestyle in Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial

A Self-Regulation–Based eHealth and mHealth Intervention for an Active Lifestyle in Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial

By 2035, it is estimated that one in ten adults will have diabetes [1]. This exponential growth of diabetes is largely accounted for by type 2 diabetes, which is responsible for 85%-95% of the disease cases [1].

Louise Poppe, Ilse De Bourdeaudhuij, Maïté Verloigne, Laurent Degroote, Samyah Shadid, Geert Crombez

JMIR Res Protoc 2019;8(3):e12413

An Iterative Process for Identifying Pediatric Patients With Type 1 Diabetes: Retrospective Observational Study

An Iterative Process for Identifying Pediatric Patients With Type 1 Diabetes: Retrospective Observational Study

The incidence and prevalence of diabetes mellitus has continued to increase worldwide for both type 1 diabetes (T1DM) and type 2 diabetes (T2DM), with the rise in T2DM due in large part to the obesity epidemic [1,2].

Heather Lynne Morris, William Troy Donahoo, Brittany Bruggeman, Chelsea Zimmerman, Paul Hiers, Victor W Zhong, Desmond Schatz

JMIR Med Inform 2020;8(9):e18874

The Efficacy of Mobile Phone Apps for Lifestyle Modification in Diabetes: Systematic Review and Meta-Analysis

The Efficacy of Mobile Phone Apps for Lifestyle Modification in Diabetes: Systematic Review and Meta-Analysis

Diabetes mellitus can be divided into three subtypes (type 1 diabetes mellitus [T1DM], type 2 diabetes mellitus [T2DM], and gestational diabetes mellitus [GDM]), which share the same behavioral risk factors, such as inactivity and unhealthy diets [2].

Xinghan Wu, Xitong Guo, Zhiwei Zhang

JMIR Mhealth Uhealth 2019;7(1):e12297

Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials

Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials

Some research reported that compared with usual care, internet-based interventions could significantly reduce glycated hemoglobin (HbA1c) levels in patients with type 2 diabetes mellitus (T2DM) [7-11], whereas others reported otherwise [12-16].

Ying Shen, Fengbin Wang, Xing Zhang, Xiaorou Zhu, Qiudan Sun, Edwin Fisher, Xinying Sun

J Med Internet Res 2018;20(5):e172

A Mobile-Based Intervention for Glycemic Control in Patients With Type 2 Diabetes: Retrospective, Propensity Score-Matched Cohort Study

A Mobile-Based Intervention for Glycemic Control in Patients With Type 2 Diabetes: Retrospective, Propensity Score-Matched Cohort Study

In China, the overall prevalence of diabetes in the adult population was estimated to be 11.6% in 2010 and was less than 1.0% in 1980 [3]. Patients with type 2 diabetes mellitus account for 90%-95% of those with diabetes [4].

Jing Li, Li Sun, Yaogang Wang, Lichuan Guo, Daiqing Li, Chang Liu, Ning Sun, Zheng Xu, Shu Li, Yunwen Jiang, Yuan Wang, Shunming Zhang, Liming Chen

JMIR Mhealth Uhealth 2020;8(3):e15390