The Impact of a Mobile Application Designed for Adults at Risk of Developing Diabetes

Summary

Aim: The aim of this study is to determine whether a prediabetes mobile application (PREDIABE-TR) designed in Turkish to inform and advise individuals at risk of developing diabetes about healthy eating and physical exercise can make a difference in the participants' eating according to the Mediterranean Diet Plan, or in their physical activity and other diabetes-related metabolic parameters.

Methods: A total of 120 adults at risk of developing diabetes will be assigned into an experimental and a control group by means of Stratified Permuted Block Randomization. The adults in the experimental group will be using the PREDIABE-TR mobile application for a period of 6 months. Over the same period, the control group will use the Turkish Nutrition Guide and the Diabetes Checklists mobile application distributed by the Turkish Ministry of Health. At the end of the six-month period, a review will be made of the diabetes metabolic data, physical activity levels and the Mediterranean Diet eating behaviors. At the same time, an assessment will be made of the control group's use of the mobile application with the help of the Mobile Application Usability Scale. Statistical data will be analyzed using the Statistical Package for the Social Sciences program.

Discussion: The benefits of interventions to promote a healthy lifestyle are evident in terms of preventing a transition from prediabetes to diabetes and maintaining present status. The current novel coronavirus pandemic has clearly shown the advantages of and necessity for remote interventions. In this study, we will attempt to determine whether or not the use of the PREDIABE-TR mobile application can promote a healthy lifestyle and achieve a reduced risk of diabetes.

Impact: This study will serve to provide evidence of the practicality, acceptability and cost effectiveness of various applications (such as mobile apps) that can be an alternative to face-to-face consultation and other medical practices. This alternative can be suggested to policy- and decision-makers. Such applications can also be considered preventive strategies.

Conditions

• Diabetes Mellitus Risk
• PreDiabetes

Interventions

OTHER

PREDIABE-TR mobile app.

* Module 1: Personal data Containing data on the participant's age, gender, telephone number, email and perception of his/her health (bad, so-so, good, very good). * Module 2: Medical history of the participant In this module, the participants tick the items that apply to themselves or their first-degree relatives by marking the conditions in their medical history that may increase the risk of prediabetes. Additionally, in line with the recommendations of the Turkish Association of Endocrinology and Metabolism, this module contains the Finnish Diabetes Type-2 Risk Score (FINDRISK) which assesses an individual's risk of diabetes. * Module 3: Healthy lifestyle behaviors The sub-sections of the module are devoted to nutrition, height-weight-body mass index (BMI) and physical activity.

Sponsors & Collaborators

• Akdeniz University

  lead OTHER

Principal Investigators

• İbrahim Topuz, PhD · Akdeniz University

Study Design

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

SINGLE

Model

PARALLEL

Eligibility

Min Age

45 Years

Max Age

65 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2024-03-01

Primary Completion

2024-08-01

Completion

2024-09-01

Countries

• Turkey (Türkiye)

Study Locations