The Influence of Personality Characteristics and Emotions on Blood Glucose Levels Among Type 1 Diabetes Mellitus Patients

August 1, 2021 updated by: Tel-Aviv Sourasky Medical Center

The research goal is to find a correlation between patient personality characteristics, patients' mood and glycemic control. Eventually, using this information may allow treating physicians the ability to better balance glucose blood levels in patients with T1DM, by recognizing influencing psychological parameters. The conclusion from this research will add to other physiological parameters that are being studied today, and in the future will be integrated into an artificial pancreas.

The investigators believe that there is a correlation that hasn't been studied in the past between personality characteristics, daily emotions and the ability to balance glucose blood levels in patients with T1DM.

Study Overview

Status

Completed

Detailed Description

Background:

Type 1 diabetes mellitus (T1DM), is an autoimmune disease in which cells from the immune system attack the beta cells, that produce insulin, in the pancreas. As a result of the subsequent complete insulinopenia, glycemic levels rise, and the patient completely relies on exogenous administration of sub-cutaneous insulin injections. The patients must adjust the amount of insulin along the day in accordance with measured glucose blood levels and their activities (eating, physical activity, etc.) Recently patients diagnosed with T1DM, are eligible for a continuous glucose monitor with FLASH technology (Freestyle Libre glucose monitor), within the Israeli health medical basket services. As a result, nowadays treating physicians can better monitor glucose blood levels during the day. The Freestyle Libre constantly measures subcutaneous glucose levels, translating them using a specifically designed algorithm to projected blood glucose levels. This allows for improved glycemic control and more accurate insulin dosing decisions for the patient with a tool to assess disease severity and control for the treating physician.

Using advanced algorithms, there is an enormous research effort in order to create an artificial pancreas- a glucose blood level monitor that informs an insulin pump regarding the amount of insulin that should be injected throughout the day. This will replace the patients ongoing burden of managing their glycemic levels and reduce patient dosing errors. In order to improve the already existing algorithms, inserting additional parameters into the equation may improve the predictive value of the algorithms, and thus improve the ability to balance glycemic levels in different situations. So far, most of the research in this area was performed using physiological parameters (heart rate, physical activity, nutrition, etc.).

In the suggested study the researchers wish to examine the influence of character and emotions on glycemic levels during the day. Finding a correlation between the mental and mood status and glycemia may allow for the creation of a more accurate algorithm, to better predict and balance glycemic levels in patients with T1DM.

Research hypothesis:

The investigators' hypothesis is that there is a significant correlation between baseline personality characteristics, changing emotions throughout the day, and glycemic levels in patients with T1DM.

Research goal:

The research goal is to find a correlation between patient personality characteristics, patients' mood, and glycemic control. Eventually, using this information may allow treating physicians the ability to better balance glucose blood levels in patients with T1DM, by recognizing influencing psychological parameters. The conclusion from this research will add to other physiological parameters that are being studied today, and in the future will be integrated into an artificial pancreas.

The investigators believe that there is a correlation that hasn't been studied in the past between personality characteristics, daily emotions, and the ability to balance glucose blood levels in patients with T1DM.

Methods:

During the first visit, participants will receive an explanation of nature, duration, and side effects required during the research period.

After signing the informed consent, the following information will be collected:

  • Demographic and socioeconomic background
  • Personality characteristics questionnaire
  • Medical history including the most recent blood tests During that visit, the participant will download a designated application for his mobile device and will receive instructions on using it.

The duration of the follow-up period will be a week. During that period the patient will not change their current treatment or lifestyle. The patient will report their emotions, treatment, physical activity, behavior, and nutrition using a specifically designed smartphone application.

At the end of the data collection week, and following their next visit to the clinic, glycemic information will be downloaded from the patients' CGM/FGM device.

The mobile application: the designated application, will be built specifically for the study. The application is a questionnaire that is always available to the patient, in an accessible manner.

Through the application, the patient will be able to fill out the questionnaire at any time, asking participants for details about their mood and emotions at the time. In addition, the app will collect data, if the participant will confirm it, which is collected by the smart device (steps, pulse, etc.) The data will be stored on a computer that is locked with a password, there will be complete separation between the patient's identifying data and the research related data. Data analysis will include correlation studies between the different parameters collected- specifically looking for emotional patterns/ events that affect glycemia.

Study Type

Observational

Enrollment (Actual)

75

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Tel Aviv, Israel, 64239
        • The Institute of Endocrinology Metabolism and Hypertension

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 120 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with a type 1 Diabetes Mellitus diagnosis

Description

Inclusion Criteria:

  1. Males or females above 18 years old
  2. Patients with a prior medical history diagnosis of T1DM
  3. Patients who are using a continuous glucose monitor (CGM or FGM)

Exclusion Criteria:

  1. Patients without a diagnosis of type 1 DM
  2. patients who are not using a continuous glucose monitor (CGM or FGM)
  3. patients who did not sign an informed consent
  4. lack of judgment and underage populations
  5. Patients without a mobile smart device (smart phone)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Type 1 diabetes mellitus (T1DM)
  1. Males or females above 18 years old
  2. Patients with a prior medical history diagnosis of T1DM
  3. Patients who are using a continuous glucose monitor (CGM or FGM)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
correlation between baseline personality characteristics, changing emotions throughout the day, and glycemic levels in patients with T1DM
Time Frame: through study completion, an average of 1 year
correlation between patient personality characteristics, patients' mood and glycemic control. Eventually, using this information may allow us the ability to better balance glucose blood levels in patients with T1DM, by recognizing influencing psychological parameters
through study completion, an average of 1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Gon Shoham, MD, Tel Aviv University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 17, 2020

Primary Completion (Actual)

November 30, 2020

Study Completion (Actual)

March 1, 2021

Study Registration Dates

First Submitted

March 2, 2021

First Submitted That Met QC Criteria

July 25, 2021

First Posted (Actual)

July 27, 2021

Study Record Updates

Last Update Posted (Actual)

August 9, 2021

Last Update Submitted That Met QC Criteria

August 1, 2021

Last Verified

March 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Diabetes Mellitus, Type 1

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