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Eating Disturbances in Patients With Type 1 Diabetes Initiating Insulin Therapy

Eating Disturbances in Patients With Type 1 Diabetes Initiating Closed-loop Insulin Therapy: Prevalence and Influence on Glycemic Control

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07151924
Acronym
CALI-BF
Enrollment
100
Registered
2025-09-03
Start date
2025-09-04
Completion date
2027-02-28
Last updated
2025-09-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabete Type 1

Keywords

diabete type 1, eating disorders, eating, insulin, insulin therapy

Brief summary

The prevalence of eating disorders is particularly high among people with type 1 diabetes (T1D). These abnormalities, such as diabulimia, are frequently responsible for poor insulin therapy management and, consequently, chronic glycemic imbalance, exposing them to an increased risk of complications. Their detection and management unfortunately remain insufficient in current practice. However, to date, no study has addressed the question of the prevalence and impact of eating disorders in this context. Our research hypotheses are therefore as follows: 1. The existence of an eating disorder is likely frequently overlooked and, therefore, not taken into account in patients with T1D initiating semi-automated insulin therapy with BF. 2. The existence of an eating disorder could impair the performance of the BF device in terms of improving glycemic control in patients with T1D initiating this treatment method. Patients clinical characteristics, glycemic monitoring parameters ad questionnaires answers will be recorded. The prevalence of eating disorders will be calculated, and the association between the presence of these abnormalities and baseline clinical characteristics and glycemic control parameters will be analyzed.

Detailed description

The prevalence of eating disorders (EDs) and problematic eating behaviors (PEBs) is particularly high among people with type 1 diabetes (T1D), affecting 20 to 50% of women and 5 to 25% of men among young patients. These abnormalities, such as diabulimia, are frequently responsible for poor insulin therapy management and, consequently, chronic glycemic imbalance, exposing them to an increased risk of complications. Their detection and management unfortunately remain insufficient in current practice. The treatment of T1D is currently undergoing a veritable technological revolution linked to the arrival of the first semi-automated insulin therapy devices (or closed loop, LF). The use of these devices most often makes it possible to achieve recommended glycemic control targets (HbA1c, continuous glucose monitoring \[CGM\] data), reduce glycemic variability, and avoid hypoglycemia. Insulin administration is based on the data transmitted: food intake and quantity of carbohydrates consumed. The role of dietitians is therefore crucial in the therapeutic education of patients and the care pathway imposed by the initiation of this new treatment method. It is likely that many patients initiating automated insulin therapy with BF present an eating disorder or CAP that may interfere with the management of the device. However, to date, no study has addressed the question of the prevalence and impact of eating disorders and CAP in this context. In the absence of available data, national and international recommendation texts dedicated to insulin therapy with BF do not specify appropriate conduct for patients presenting with these eating disorders. Our research hypotheses are therefore as follows: 1. The existence of an eating disorder (ED and/or CAP) is likely frequently overlooked and, therefore, not taken into account in patients with T1D initiating semi-automated insulin therapy with BF. 2. The existence of an eating disorder (ED and/or CAP) could impair the performance of the BF device in terms of improving glycemic control in patients with T1D initiating this treatment method. Patients clinical characteristics and glycemic monitoring parameters (HbA1c and CGM data), available as part of routine care, will be recorded in an electronic case report (REDCap software). The mSCOFF and QACD questionnaires will be administered during the dietary interview preceding BF device implantation, and responses will be collected. The prevalence of eating disorders will be calculated, and the association between the presence of these abnormalities and baseline clinical characteristics and glycemic control parameters will be analyzed. The care pathway established for initiating BF treatment requires a follow-up medical consultation at 3 months, followed by a consultation at 6 months. As part of the study, visits at 3 months (12 ± 2 weeks) and 6 months (24 ± 4 weeks) will be scheduled and will include an interview with a dietitian, to collect glycemic control parameters (at 3 and 6 months), measure body weight (at 3 and 6 months), and repeat the mSCOFF and QACD questionnaires (at 6 months). Data on the evolution of glycemic control and variability parameters, weight and mSCOFF and QACD scores will be analyzed in the overall study population, then according to the existence or not of disturbances in eating behavior at inclusion.

Interventions

OTHERQuestionnaires answers

Patients will be asked to complete the MScoff and QACD questionnaires during interviews with the dietitian at baseline, 3 months and 6 months.

Collection of HbA1c level and continuous glucose monitoring data

Sponsors

University Hospital, Toulouse
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patient diagnosed with type 1 diabetes. * Patient with a CGM device for more than 3 months with \> 80% of data captured in the last month. * Indication for the implementation of a BF device as part of routine care, in the Diabetology, Metabolic Diseases and Nutrition Department of the Toulouse University Hospital (initiating center).

Exclusion criteria

* Pregnant or breastfeeding women, or those planning to become pregnant within 6 months of inclusion. * History of obesity surgery or a preparatory program for obesity surgery planned during the study period. * Pharmacological treatment likely to significantly influence food intake and body weight, whether ongoing or discontinued within the last 3 months (e.g., GLP-1R agonist): Liraglutide (Victoza®, Saxenda®), Semaglutide (Ozempic®, Wegovy®), Dulaglutide (Trulicity®), Tirzepatde (Mounjaro®), Orlistat (Xenical®) * Eating disorder requiring specific treatment in the previous 12 months. * Refusal or inability to consent to participate. * Persons under legal protection (guardianship, curatorship, or court-ordered protection).

Design outcomes

Primary

MeasureTime frameDescription
Prevalence of eating disorders6 months after the inclusionThe primary outcome measure for establishing the prevalence of eating disorders is a composite outcome measure based on determining the existence of eating disorders \[ED\] by analyzing responses to the mSCOFF questionnaire (score ≥ 2) and/or problematic eating behaviors \[PEB\] by analyzing responses to the QACD questionnaire (score ≥ 20).

Secondary

MeasureTime frameDescription
Clinical characteristics at inclusion6 months after the inclusionMeasurement of clinical characteristics at inclusion: age
Description of glycemic control at inclusion6 months after the inclusionMeasurement of basic glycemic control : Hba1c average
Description of variability indicators at inclusion6 months after the inclusionMeasurement of basic glycemic variability parameters : continuous glucose measurement data
Evolution of biological parameters of glycemic variability between the inclusion visit and the follow-up visits6 months after the inclusionMeasurement of the variation in blood glycemic variability (continuous glucose measurement data) parameters between the inclusion visit and the different follow-up visits (3 months and 6 months)
Prevalence of eating disorders (EDs)6 months after the inclusionPrevalence of EDs (mSCOFF score ≥ 2 and QACD ≥ 20)
Evolution of BMI between inclusion and follow-up visits6 months after the inclusionChange in BMI between the baseline visit and the 3-month and 6-month follow-up visits
Evolution of body weight between inclusion and follow-up visits6 months after the inclusionChange in body weight between the baseline visit and the 3-month and 6-month follow-up visits
Change in questionnaires scores between baseline and follow-up6 months after the inclusionChange in mSCOFF (Sick, control, one stone, fat, food) scores between the baseline visit and the 6-month follow-up visit
Evolution of biological control parameters variability between the inclusion visit and the follow-up visits6 months after the inclusionMeasurement of the variation in blood control parameters variability (HbA1c) between the inclusion visit and the different follow-up visits (3 months and 6 months)

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026