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

NCT ID: NCT05592288

Last Updated: 2025-03-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

61 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-03-01

Study Completion Date

2024-09-01

Brief Summary

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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.

Detailed Description

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Hypotheses

Our hypotheses were formulated in line with Population-Intervention-Comparison-Outcome-Study; significance was set at 0.05 (Higgins et al., 2019). In addition to standard applications, the intervention group will be using the PREDIABE-TR mobile app. The control group will only use standard applications. In this context, our research hypotheses are the following:

H1a: When compared with the control group, the eating behaviors with regard to adopting the Mediterranean Diet of prediabetic adults using the PREDIABE-TR app will be at a higher level.

H1b: When compared with the control group, the physical activity (MET, number of steps) of prediabetic adults using the PREDIABE-TR app will be at a higher level.

H1c: When compared with the control group, the metabolic parameters (A1C, Impaired Fasting Glucose, Impaired Glucose Tolerance of prediabetic adults using the PREDIABE-TR app will be at lower levels.

H1d: When compared with the control group, prediabetic adults using the PREDIABE-TR app will lose more weight.

Conditions

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Diabetes Mellitus Risk PreDiabetes

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

This study protocol was drawn up for a single center, single-blind (participant), pretest-posttest, follow-up, parallel group (1:1 ratio) randomized controlled trial.
Primary Study Purpose

PREVENTION

Blinding Strategy

SINGLE

Participants
Single-blind (participant)

Study Groups

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Intervention group

The study universe will consist of adults of the ages 45-65 who have received a diagnosis of prediabetes and are registered at the Family Health Center No. 9. PREDIABE-TR mobile app usage (six months).

Group Type EXPERIMENTAL

PREDIABE-TR mobile app.

Intervention Type OTHER

* 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.

Control grup

The study universe will consist of adults of the ages 45-65 who have received a diagnosis of prediabetes and are registered at the Family Health Center No. 9. Routine practice (Brochures of the Public Health Directorate, Mobile apps of the Ministry of Health, etc.)

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Individuals to be included will be those who: are prediabetic (Impaired Fasting Glucose =100-125 mg/dl-mmol/L, A1C=5.7%-6.4% or Impaired Glucose Tolerance=140-190 mg/dl-mmol/L),
* are active Android/phone operating system cell phone users,
* are not pregnant or have any malignancy,
* have no hearing or vision impairment,
* are at least primary school graduates and fluent in Turkish.

Exclusion Criteria

* Individuals who have a diagnosis of diabetes or are using an insulin pump or oral antidiabetic agents,
* have vision impairment,
* are pregnant,
* have any condition that precludes engaging in physical activity,
* have psychiatric issues or problems with communicating, will be excluded.
Minimum Eligible Age

45 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Akdeniz University

OTHER

Sponsor Role lead

Responsible Party

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İbrahim TOPUZ

Lecturer (PhD student)

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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İbrahim Topuz, PhD

Role: PRINCIPAL_INVESTIGATOR

Akdeniz University

Locations

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Akdeniz University

Antalya, City Center, Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

References

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Etbaş Demirağ H. Diabetes Risk Assessment in First Degree Relatives of Patients with Type-2 Diabetes Mellitus. T.C Adnan Menderes University Instıtute of Health Sciences, Master Thesis, 2016, Aydın, Turkey (Supervision: Prof. Dr. S Boyraz, Doç. Dr. E Ünsal Avdal).

Reference Type BACKGROUND

Turkish Society of Endocrinology and Metabolism (TEMD). Diagnosis, Treatment and Follow-up Guide for Diabetes Mellitus Complications. 14th Edition. Ankara: Bayt Publication; 2020. ISBN 978-605-4011-40-7.

Reference Type BACKGROUND

Lindstrom J, Louheranta A, Mannelin M, Rastas M, Salminen V, Eriksson J, Uusitupa M, Tuomilehto J; Finnish Diabetes Prevention Study Group. The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care. 2003 Dec;26(12):3230-6. doi: 10.2337/diacare.26.12.3230.

Reference Type BACKGROUND
PMID: 14633807 (View on PubMed)

Martinez-Gonzalez MA, de la Fuente-Arrillaga C, Nunez-Cordoba JM, Basterra-Gortari FJ, Beunza JJ, Vazquez Z, Benito S, Tortosa A, Bes-Rastrollo M. Adherence to Mediterranean diet and risk of developing diabetes: prospective cohort study. BMJ. 2008 Jun 14;336(7657):1348-51. doi: 10.1136/bmj.39561.501007.BE. Epub 2008 May 29.

Reference Type BACKGROUND
PMID: 18511765 (View on PubMed)

Özkan Pehlivanoğlu EF, Balcıoğlu H, Ünlüoğlu İ. The validity and reliability of the adaptation of the Mediterranean Diet Adherence Scale into Turkish. Osmangazi Medical Journal. 2020;42(2): 160-164.

Reference Type BACKGROUND

Block G, Azar KM, Romanelli RJ, Block TJ, Hopkins D, Carpenter HA, Dolginsky MS, Hudes ML, Palaniappan LP, Block CH. Diabetes Prevention and Weight Loss with a Fully Automated Behavioral Intervention by Email, Web, and Mobile Phone: A Randomized Controlled Trial Among Persons with Prediabetes. J Med Internet Res. 2015 Oct 23;17(10):e240. doi: 10.2196/jmir.4897.

Reference Type BACKGROUND
PMID: 26499966 (View on PubMed)

McLeod M, Stanley J, Signal V, Stairmand J, Thompson D, Henderson K, Davies C, Krebs J, Dowell A, Grainger R, Sarfati D. Impact of a comprehensive digital health programme on HbA1c and weight after 12 months for people with diabetes and prediabetes: a randomised controlled trial. Diabetologia. 2020 Dec;63(12):2559-2570. doi: 10.1007/s00125-020-05261-x. Epub 2020 Sep 4.

Reference Type BACKGROUND
PMID: 32886192 (View on PubMed)

Toro-Ramos T, Michaelides A, Anton M, Karim Z, Kang-Oh L, Argyrou C, Loukaidou E, Charitou MM, Sze W, Miller JD. Mobile Delivery of the Diabetes Prevention Program in People With Prediabetes: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2020 Jul 8;8(7):e17842. doi: 10.2196/17842.

Reference Type BACKGROUND
PMID: 32459631 (View on PubMed)

Turkish Society of Endocrinology and Metabolism. (2018). Diagnosis, Treatment and Follow-up Guidelines for Diabetes Mellitus Complications, 2018.

Reference Type BACKGROUND

Roche Diagnostics Türkiye. Accu-Chek Performa Nano. Available from: www.rochediagnotics.com.tr.

Reference Type BACKGROUND

American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020 Jan;43(Suppl 1):S14-S31. doi: 10.2337/dc20-S002.

Reference Type BACKGROUND
PMID: 31862745 (View on PubMed)

Turkish Society of Endocrinology and Metabolism. Obesity Diagnosis and Treatment Guide. Ankara: Miki; 2019. ISBN: 978-605-4011-31-5.

Reference Type BACKGROUND

Hoehle H, Aljafari R, Venkatesh V. Leveraging Microsoft׳ s mobile usability guidelines: Conceptualizing and developing scales for mobile application usability. Int J Hum Comput Stud. 2016;89: 35-53.

Reference Type BACKGROUND

Güler Ç. A structural equation model to examine mobile application usability and use. International Journal of Informatics Technologies, 2019;12(3): 169-181.

Reference Type BACKGROUND

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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TDK-2022-6085

Identifier Type: -

Identifier Source: org_study_id

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