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Mobile Health Technology (mDiab) for the Prevention of Type 2 Diabetes: Protocol for a Randomized Controlled Trial

Mobile Health Technology (mDiab) for the Prevention of Type 2 Diabetes: Protocol for a Randomized Controlled Trial

A 75-g glucose tolerance test [37] at 0 and 120 min along with blood tests for insulin, glycated hemoglobin (HbA1c), and lipids are conducted at baseline and at the annual follow-up visit.Table 2mDiab overview of video lessons.Sessions (Weekly)ObjectivesSession

Shruti Muralidharan, Viswanathan Mohan, Ranjit Mohan Anjana, Sidhant Jena, Nikhil Tandon, Steven Allender, Harish Ranjani

JMIR Res Protoc 2017;6(12):e242


Glycemic Outcomes in Adults With Type 2 Diabetes Participating in a Continuous Glucose Monitor–Driven Virtual Diabetes Clinic: Prospective Trial

Glycemic Outcomes in Adults With Type 2 Diabetes Participating in a Continuous Glucose Monitor–Driven Virtual Diabetes Clinic: Prospective Trial

%)<70 mg/dL0.2 (0.4)0.3 (0.6)0.1 (0.7).4970 to 180 mg/dL65.4 (23.2)75.5 (22.7)10.2 (20.5).002181 to 250 mg/dL26.5 (14.9)19.2 (15.5)–7.2 (15.4).005>250 mg/dL8.0 (10.9)5.0 (11.0)–3.0 (9.4)0.01Weight, BP, and Serum LipidsChange in weight, BP, and serum lipids

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

J Med Internet Res 2020;22(8):e21778


The Nurse-Based Age Independent Intervention to Limit Evolution of Disease After Acute Coronary Syndrome (NAILED ACS) Risk Factor Trial: Protocol for a Randomized Controlled Trial

The Nurse-Based Age Independent Intervention to Limit Evolution of Disease After Acute Coronary Syndrome (NAILED ACS) Risk Factor Trial: Protocol for a Randomized Controlled Trial

Before the call, a blood sample for lipids will be taken and a standardized blood pressure control performed. Blood pressure will be measured after 5 minutes in the sitting position and after 1 minute standing.

Thomas Mooe, Fredrik Björklund, Anna Graipe, Daniel Huber, Stina Jakobsson, Ulf Kajermo, Anna Strömvall, Anders Ulvenstam

JMIR Res Protoc 2014;3(3):e42


Expression of Genes Related to Lipid Handling and the Obesity Paradox in Melanoma: Database Analysis

Expression of Genes Related to Lipid Handling and the Obesity Paradox in Melanoma: Database Analysis

Metastasis-initiating cells display high CD36 levels, which may indicate a crucial contribution of dietary lipids in the promotion of metastasis [23].

Claudia Giampietri, Luana Tomaipitinca, Francesca Scatozza, Antonio Facchiano

JMIR Cancer 2020;6(1):e16974


Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews

Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews

Treatment effects on BMI, weight, and waist circumference varied; 5 reviews found large improvements [31-35] and 3 reported small or no effect of the mHealth interventions [23,36,37]. mHealth interventions were found ineffective for improving serum lipids changes

Youfa Wang, Jungwon Min, Jacob Khuri, Hong Xue, Bo Xie, Leonard A Kaminsky, Lawrence J Cheskin

JMIR Mhealth Uhealth 2020;8(4):e15400


Use of Featforward Mobile Phone App Associated with Decreased Cardiometabolic Risk Factors in Patients with Chronic Conditions

Use of Featforward Mobile Phone App Associated with Decreased Cardiometabolic Risk Factors in Patients with Chronic Conditions

secondary outcomes were, respectively, change from baseline in physical activity (step count) and CMR factors (weight, body mass index [BMI], waist circumference, glycated hemoglobin [HbA1c], fasting blood glucose, systolic/diastolic blood pressures, serum lipids

Sara B Golas, Ramya Palacholla, Amanda Centi, Odeta Dyrmishi, Stephen Agboola, Joseph Kvedar, Kamal Jethwani

iproc 2018;4(2):e11882


A Mobile Clinical Decision Support Tool for Pediatric Cardiovascular Risk-Reduction Clinical Practice Guidelines: Development and Description

A Mobile Clinical Decision Support Tool for Pediatric Cardiovascular Risk-Reduction Clinical Practice Guidelines: Development and Description

an Expert Panel to develop comprehensive evidence-based guidelines addressing the known risk factors for CVD among the pediatric population, including family history, age, sex, nutrition and diet, physical inactivity, tobacco exposure, blood pressure (BP), lipids

Robert D. Furberg, Pamela Williams, Jacqueline Bagwell, Kenneth LaBresh

JMIR Mhealth Uhealth 2017;5(3):e29


Usability Testing and Adaptation of the Pediatric Cardiovascular Risk Reduction Clinical Decision Support Tool

Usability Testing and Adaptation of the Pediatric Cardiovascular Risk Reduction Clinical Decision Support Tool

The guidelines also include recommendations for clinicians on CVD risk factors, such as diet, physical activity, tobacco, blood pressure (BP), lipids and lipoproteins, and overweight and obesity, as well as the influence of family history on risk factor management

Pamela A Williams, Robert D. Furberg, Jacqueline E. Bagwell, Kenneth A. LaBresh

JMIR Hum Factors 2016;3(1):e17