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| Name | Class |
|---|---|
| AGIR Ã Dom | OTHER |
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The purpose of this study is to determine the prevalence of eating disorders in type 1 insulin-dependent diabetes patients
The risk of developing an eating disorder is increased in type 1 diabetes patients and associated with a poor prognosis in terms of glycemic control, metabolic complications, degenerative complications, and mortality.
Therefore the terminology diaboulimia has emerged to characterize an eating disorder specific to type 1 insulin-dependent diabetes patients, with insulin under dosage with a view of losing or controlling weight and that can contribute to a deterioration of the body composition.
The purpose of this study is to determine the prevalence of eating disorders in an adult cohort with type 1 insulin-dependent diabetes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| cohort | Experimental | adult patients with type 1 diabetes and insulin pump treatment . Duration of participation: 30 minutes |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| cohort | Other | During a regular follow-up visit, the following data will be collected:
|
| Measure | Description | Time Frame |
|---|---|---|
| Eating disorders in men and women | To determine eating disorder prevalence in differentiated adult men and women with type 1 insulin-dependent diabetes. Patients answer to the SCOFF-F questions :
Every "yes" attributes one point and gives a final score between 0 and 5; a score ≥2 indicates an eating disorder. | at inclusion |
| Measure | Description | Time Frame |
|---|---|---|
| Eating disorders in cohort | To determine eating disorder prevalence in undifferentiated cohort (men and woman) with type 1 insulin-dependent diabetes. Patients answer to the SCOFF-F questions :
Every "yes" attributes one point and gives a final score between 0 and 5; a score ≥2 indicates an eating disorder. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Cécile Bétry, PhD | CHU Grenoble Alpes | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| AGIR Ã dom. | Meylan | 38240 | France |
Contact icadom@agiradom.com for any data request. The researcher will be invited to complete a form (data sharing agreement) explaining the reasons and the aim of the data requests. The data will be de-identified.
January 2022 to January 2037
Researchers requesting the data have to be able to present a scientific reason to get access
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| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| D001068 | Feeding and Eating Disorders |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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| ID | Term |
|---|---|
| D015331 | Cohort Studies |
| ID | Term |
|---|---|
| D016021 | Epidemiologic Studies |
| D016020 | Epidemiologic Study Characteristics |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
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cohort prospective monocentric
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| at inclusion |
| Auto declared insulin under dosage | To Determine the auto declared insulin under dosage prevalence in undifferentiated cohort (men and woman) with type 1 insulin-dependent diabetes. Patients answer to the 5th m-SCOFF question : - do you ever take less insulin than you should? A "yes" answer means that patient underdoses insulin treatment. | at inclusion |
| Overall glycemia | To identify if there is a link between an eating disorder and overall glycemic control, we will look after the last biological value of HbA1c rates | at inclusion |
| Basal/Bolus insulin ratio | To identify if there is a link between an eating disorder and basal/bolus insulin ratio, we will extract and compare to eating disorder presence, this daily data from insulin pump over the 14 days preceding inclusion | at inclusion |
| Boluses performed per day | To identify if there is a link between an eating disorder and boluses performed per day, we will extract and compare to eating disorder presence, this daily data from insulin pump over the 14 days preceding inclusion | at inclusion |
| Body composition | To identify if there is a link between an eating disorder and body composition, we will perform a bio-electric impedance analysis and compare the result to eating disorder presence. | at inclusion |
| Continuous glycemic control | To identify if there is a link between an eating disorder and continuous glycemic control, we will extract and compare to eating disorder presence, this data from the continuous glucose monitoring system (CGMS) over the 14 days preceding inclusion Glycemic control will be determined by the percentage of daily time into the glycemic target (between 70 and 180 mg/dL). | at inclusion |
| Glycemic variability | To identify if there is a link between an eating disorder and glycemic variability, we will extract and compare to eating disorder presence, this data from the continuous glucose monitoring system (CGMS) over the 14 days preceding inclusion Glycemic variability will be determined by the Mean Amplitude of Glycemic Excursions (MAGE) algorithm. | at inclusion |
| Adherence to the sensor | To identify if there is a link between an eating disorder and the adherence to the continuous glucose monitoring system (CGMS), we will extract and compare to eating disorder presence, this data from the continuous glucose monitoring system (CGMS) over the 14 days preceding inclusion Adherence will be determined by the number of minutes worn per day. | at inclusion |
| Blood glucose monitoring | To identify if there is a link between an eating disorder and blood glucose monitoring, we will extract and compare to eating disorder presence, this data from the continuous glucose monitoring system (CGMS) over the 14 days preceding inclusion The monitoring will be determined by the number of scans done per day. | at inclusion |
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
| D012817 | Signs and Symptoms, Digestive |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001523 | Mental Disorders |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |