Binge-Eating DisorderPREC-BEDNCT06387719
Precursors of Binge Eating Disorder in a Clinical Sample of Adolescents With Obesity
An observational study of Binge-Eating Disorder and Obesity, run by Fundació Sant Joan de Déu at 1 site in Spain.
Trial summary
BACKGROUND: Binge eating disorder (BED) is the worldwide most-prevalent eating disorder. It is associated with psychiatric comorbidities and obesity, a high impact in life functioning, and high morbidity and mortality. Read more about this study
- Who is it for?
- Ages 12 to 16 years
- Conditions the study is for
- Binge-Eating Disorder, Obesity, Eating Disorders
- What is being tested?
- Magnetic resonance imaging
- How many people
- 102 participants
- Where
- 1 siteSpain
- Study dates
- 21 Jul 2023to May 2026
- How long will I take part?
- 12 Months
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 12 to 16 years
- All sexes
- No healthy volunteers
- Child
Study population: Adolescents with obesity (12-16 y/o) would be consecutively asked to participate when attending their visits at the Endocrinology Department at Hospital Sant Joan de Déu (HSJD).
Who may be able to join
- Patients derived to the Endocrinology Department with obesity as the main criterion for consultation, measured as body mass index (BMI) z-score above 2 standard deviations.
- Age between 12-16 years old.
- Signed informed consent by parents or legal guardians of subjects, plus the signed consent by the adolescent when being 12 or older years/old.
- Additional inclusion criteria for the BED and PREC-BED groups:
- The presence of DSM-5 criteria for BED in the BED group.
- Fulfilling the LOC (loss of control) criteria (related to the original Marcus\&Kalarchian) in the PREC-BED group.
Who cannot join
- Intelligence quotient < 70 measured with the K-BIT.
- Any comorbid psychiatric disorder, except BED in the BED group or PREC-BED in the PREC-BED group. Tobacco use and the presence of an adaptative disorder or any mild anxiety disorder will be accepted in all groups.
- Traumatic brain injury or any neurological disorder.
- Use of dental braces (due to important artifact in MRI).
- MRI: Absolute contraindications (e.g.: metal objects), relative contraindications (claustrophobia). Anthropometric measures: Weight > 150Kg or shoulder to shoulder measurement > 70 cm.
- Any severe medical conditions (including Sleep apnea-hypopnea syndrome), except for obesity and metabolic syndrome.
- Not signing the informed consent.
- Pregnancy for females.
Trial locations and contacts
1 site in 1 country.
Spain1 site, 1 recruiting
- Recruiting
Hospital Sant Joan de Déu
Esplugues de Llobregat, Barcelona, 08950
ESTHER VIA VIRGILI, 34 + 673342094, esther.via@sjd.es
ESTHER VIA VIRGILI
About this study
Official title: Precursors of Binge Eating Disorder in a Clinical Sample of Adolescents With Obesity: Early MRI Markers of Brain Reward and Inhibition Processing Dysfunction
BACKGROUND: Binge eating disorder (BED) is the worldwide most-prevalent eating disorder. It is associated with psychiatric comorbidities and obesity, a high impact in life functioning, and high morbidity and mortality. First symptoms appear frequently in youths, who most commonly present incomplete (subthreshold) criteria for BED (precursor forms, PREC-BED). While some subjects will evolve from PREC-BED to BED, there is no gold standard to identify the clinical evolution. Information from prior studies suggest early alterations in reward and inhibitory brain circuits in PREC-BED may predict increased vulnerability or resilience to develop BED. Tools based on MRI brain connectivity analyses (MRI-BC), built on robust and interpretable connectivity whole-brain models, have proven successful in diagnostic classification and predicting certain clinical outcomes. OBJECTIVES: To study MRI-BC diagnostic markers of PREC-BED and to explore prognosis at 1 year of follow-up in a sample of adolescents with obesity (12-17 years old). METHODS: A) Transversal analytical design: 3-group (n=34 per group) comparison of neuroimaging (MRI-BC), neurocognitive and clinical markers in adolescents with obesity and i) BED, ii) PREC-BED, iii) no BED nor PREC-BED (Healthy group, HC). B) Longitudinal analytical design, pilot, exploratory: adolescents with PREC-BED will be evaluated in clinical and neurocognitive variables at 1 year. Baseline brain neuroimaging variables (alone and in combination with clinical and neurocognitive variables) will be analyzed as predictors of clinical prognosis, including conversion to BED.
Read the detailed description
Background
Binge eating disorder (BED) has been a diagnosis on its own only since the last edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013. It is the most prevalent eating disorder worldwide, affecting more than 50 million subjects, world-wide. BED is characterized by binge eating episodes: eating a large amount of food in a discrete period and with a sense of lack of control. Two main peaks of onset have been identified: one is at mean age 14 and the second between 18-20 years old. BED is one of the primary chronic illnesses among adolescents and is commonly associated with psychiatric comorbidities (more than 60% of lifetime prevalence), but also with obesity and its physical consequences, showing a high impact in life functioning and a high morbi-mortality. BED prevalence in youth populations is between 1-3%, and up to 37% in adolescent population with obesity. These figures have raised in parallel with the high increase in obesity prevalence in this population. When considering subclinical presentations in the general population, which involve presenting some symptoms but not fulfilling all the diagnostic criteria for BED, the prevalence is 3%. Subclinical forms are described with terms such as emotional eating, disorganized eating, loss of control eating, among others. The latter is the only construct that has operationalized criteria. In some cases, but not all, individuals with these conditions might be diagnosed with specified or unspecified DSM-5 eating disorder categories ("other specified feeding or eating disorder" -OSFED-, or "eating disorder not otherwise specified" -EDNOS-).
The first symptoms of BED often appear in youths, who frequently exhibit incomplete criteria, which are associated with a future development of BED (i.e. subclinical forms or precursor forms, PREC-BED). These subclinical forms are more frequent in adolescents, in comparison to adults. The factors determining the conversion from PREC-BED to BED are unknown and to our knowledge, only one study evaluated the percentage of conversion to BED in a small sample of adolescents with PREC-BED, finding a 28% conversion rate. There is no gold standard for identifying the clinical progression of incomplete forms, which hinders prevention and personalized treatment.
The most kown underlying factor identified in BED is a dysfunction in emotional regulation, and neuroimaging studies have identified alterations in relevant brain circuits involved in these functions, such as reward response and response inhibition. These alterations are observed in BED and seem to be present in PREC-BED and could potentially predict a greater vulnerability or resilience to developing BED in the future. For example: Reward response: Subjects with BED present increased preference for immediate reward (as opposed to delayed), greater food-reward sensitivity and greater rash-spontaneous behaviour in the context of food. At the brain level, despite the scarce evidence, a large longitudinal study (i.e. Adolescent Brain Cognitive Development -ABCD- study) suggests that early brain structural differences during childhood of key reward regions (i.e. nucleus accumbens) might be a genetic predisposition for the development of obesity and possibly of an altered pattern of eating. In adult samples of BED, a few studies found structural or functional alterations in regions of the reward system. Inhibition: Evidences of poor impulse control or decreased inhibitory control come from adult samples, but also from the limited samples in youth, which are also limited. In adolescents with PREC-BED, some studies found hypoactivations during inhibitory processing regions, or during the inhibition of emotions in the the context of negative mood induction through a peer interaction paradigm. In another study, hyperactivations (as opposite to hypoactivations) of self-regulatory regions when receiving milkshake flavours during the neuroimaging session, were suggested as compensatory early mechanisms, representing an increased cognitive effort to regulate emotions under such restrictive conditions. Studies in BED were only found in adults.
Neuroimaging techniques using magnetic resonance imaging (MRI) allow for non-invasive study of live brain activity, which can be done during the participation of the subject in a task (for example, an inhibition task or a response processing task). This would allow the visualization of functional deficits evidenced during a cognitive demand; in the same manner the cardiologist may realize exercise tolerance test. Advanced MRI techniques nowadays offer unique insights into the anatomical and functional architecture of the brain. For example, advanced MRI brain connectivity (MRI-BC) techniques incorporate the modelling of brain dynamics between regions, which approximates to the inherent complexity of brain architecture and psychiatric disorders and open new perspective to investigate circuits and alterations involved in neurological and diseases. Such analysis can be conducted during a resting state in the MRI session, but also during specific task (for example, inhibition response task or reward-based task). One of the available whole-brain models of MRI-BC is called effective connectivity (EC), which provides information of the hierarchical or directional connectivity and/or activation between brain regions and networks. Our team (UPF team members) has developed a new technique to estimate EC, the MOU-EC generative model (Multivariate Ornstein-Uhlenbeck), which improves interpretability over other techniques and has been shown its relevance in predicting outcomes. Similar advanced techniques have proven useful in a few studies in eating disorders, including children with BED in one study and in EC in taste and food intake regulating circuits in anorexia and bulimia nervosa.
The development of prognostic markers in PREC-BED forms in the child and adolescent population would be highly relevant to increase the detection of these forms, prevent the development of BED, and enable early and personalized treatment. While neuroimaging markers alone and for diagnostic purposes have not yielded the expected results in other pathologies, it is possible that MRI-BC alone or in combination with other clinical and neuropsychological variables could constitute more sensitive and specific predictive models of risk, especially in pathologies with a bio-psychosocial origin like BED.
PROJECT'S AIM
The aim is to characterize regulation (reward and inhibition-based) processes in PREC-BED and BED in adolescents and to explore MRI-BC neurobiological markers of PREC-BED diagnosis and of prognosis at 1 year of follow-up.
FUNDING
Grant by the Instituto de Salud Carlos III (Ministerio de Ciencia, Innovación y Universades) and the private company Torrons Vicens.
- Conditions
- Binge-Eating Disorder, Obesity, Eating Disorders, BED, Other Specified Feeding or Eating Disorder, Eating Disorder Nos
- Being tested
- Magnetic resonance imaging
- Keywords
- Binge Eating Disorder, Mental Health, Adolescents, Loss of control, Emotional eating, BED, youths, neuroimaging, reward response, response inhibition, magnetic resonance
- Medical subject headings
- Binge-Eating Disorder, Obesity, Feeding and Eating Disorders, Emotional Regulation, Food Addiction, Psychological Well-Being, Emotional Eating
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Magnetic resonance imagingDiagnostic test
Also called Clinical assessment, Neurocognitive assessment
- Basic sequence for ethical consideration: evaluation of casual findings.
- Structural MRI.
- Functional MRI (fMRI) in the Resting-state
- fMRI- task based. Presented in a computer screen on a magnetically compatible googles.
| Study group | Role | What they receive |
|---|---|---|
| Control group (CG) | Adolescents with obesity, measured as body mass index (BMI) z-score above 2 standard deviations, and no BED/PREC-BED Receives: Diagnostic Test: Magnetic resonance imaging | |
| BED group | adolescents with obesity, measured as BMI z-score above 2 standard deviations, and BED Receives: Diagnostic Test: Magnetic resonance imaging | |
| PREC-BED group | adolescents with obesity, measured as BMI z-score above 2 standard deviations, PREC-BED Receives: Diagnostic Test: Magnetic resonance imaging |
What is being measured
The primary outcome is the main question the study is designed to answer.
Neuroimaging assessment
Connectivity analyses using Effective-connectivity (EC) in whole-brain models
Measured: Baseline (transversal design)
Neuroimaging assessment
Brain response during task-based fMRI (Monetary incentive Delay Task, Stop Signal task)
Measured: Baseline (transversal design)
Secondary outcomes (28)
Height
Height in centimeters
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Weight
Weight in kilograms
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Waist perimeter
Waist perimeter in centimeters
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
BMI
Weight and height will be combined to report BMI in kg/m^2
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Blood pressure
Blood pressure in mm Hg
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Fasting glucose
Fasting glucose in mg/dl
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Triglycerides
Triglycerides in mg/dl
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
HDL cholesterol
HDL cholesterol in mg/dl
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Developmental Tanner stage
The scale defines physical measurements of development based on external primary and secondary sex characteristics.
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Adherence to Mediterranean diet
Self-administered questionnaire (The Kid-MED). Units on a Scale: Total score from 0 to 12. Score ≥8: Optimal dietary quality.
Score 4-7: Intermediate dietary quality. Improvements are needed to enhance adherence to the MedDiet.
Score ≤3: Very low dietary quality.
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Diagnosis of BED, and PREC-BED or exclusion of other DMS-5 diagnosis.
The Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS-PL): semi-structured interview to parents or legal guardians and subjects aimed to diagnosis mental disorders based on DMS-5 criteria, administered by health care providers (clinician).
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Functioning
Global Assessment of Functioning (GAF) Scale (clinician). Units on a scale: 11 to 100, higher scores will indicate a better outcome.
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Depression
Beck Depression Inventory for Children (BYI-2): Spanish adapted self-administered questionnaire for depressive symptoms (child)
T-scores:
- ≥70 Very high
- 60-69 Quite high
- 55-59 Somewhat high
- <55 Average
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Anxiety
The Screen for Child Anxiety Related Disorders (SCARED). A total score of 25 may indicate the presence of an anxiety disorder. Scores higher than 30 are more specific.
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Emotion Regulation
Difficulties Emotion Regulation Scale (DERS): Subscales and total scores are obtained by the sum of the corresponding items and higher scores indicate more difficulties in Emotional Regulation.
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Eating symptomatology
Eating Disorder Examination Questionnaire-Adolescents (EDE-Q-A): It generates three scales a) the Restraint subscale, b) the Weight, Figure and Eating Concern subscale, and c) the Total scale. Higher scores mean a worse outcome.
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Eating symptomatology
- Emotional Eating Scale Adapted for Children and Adolescents (EES-C): It generates subscales (anger, anxiety, depression, restlessness and hopelessness). higher scores mean a worse outcome
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Temperamental tendencies for sensitivity to punishment and sensitivity to reward.
The Sensitivity to Punishment and Sensitivity to Reward Questionnaire Junior (SPSRQ-J). It generates two subscales sensitivity to punishment and sensitivity to reward.
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Food Addiction
Yale Food Addiction Scale for Children (YFAS-C): The scores provide an assessment of food addiction in two different ways. On one hand, the "symptom count," which offers a scoring version reflecting the number of dependency symptoms based on the 7 described criteria without considering clinical importance in the scoring (minimum 0, maximum 7 points). And, on the other hand, the "addiction diagnosis," which evaluates whether the diagnosis of food addiction can be established or not, and is confirmed when there are three or more symptoms present and significant clinical distress or impairment (questions 15 and 16).
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Food intake
Questionnaire on frequency of dietary intake (CFCA): The NOVA classification will be used to extract information of the intake of ultra-processed foods and drinks for each subject (daily grams of UPFD intake/total daily grams, multiplied by 100) for each participant (world.openfoodfacts.org).
Measured: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
General Intelligence
Kaufman Brief Intelligence Test (K-BIT): Standard scores have a mean of 100 and a standard deviation of 15
Measured: Baseline
Attention ability
Continuous Performance Test (CPT-IP). T-score: The values of the scores depend on the variables.
Measured: Baseline
Visuo-constructional ability and visual memory
Rey-Osterrieth complex figures task. Standardized scores: higher scores mean a better outcome.
Measured: Baseline
Executive function: cognitive flexibility, alternating attention, sequencing, visual search, and motor speed.
Trail Making Test (TMT). Standardized scores: higher scores mean a better outcome.
Measured: Baseline.
Executive function: working memory ability
Letter-number sequencing (subtest of the Wechsler Intelligence Scale for Children-Fifth Edition - WISC-V).
Standardized scores: higher scores mean a better outcome.
Measured: Baseline.
Executive function: decision-making abilities reward based
Iowa gambling task Standardized scores: higher scores mean a better outcome.
Measured: Baseline.
Executive function: ability to inhibit cognitive interference
Stroop Test. Standardized scores: higher scores mean a better outcome.
Measured: Baseline.
Executive function: planning and strategic organisation
Rey-Osterrieth complex figures task. Standardized scores: higher scores mean a better outcome.
Measured: Baseline.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted29 Apr 2024
- Study start21 Jul 2023
- Primary completionMar 2025 (estimated)
- Study completionMay 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (72)Papers the sponsor has linked to this study.
- Other trials for Binge-Eating DisorderStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Prospective
- Enrolment
- 102 participants (estimated)
- Target duration
- 12 Months
Sponsor and investigators
- Lead sponsor
- Fundació Sant Joan de Déu
- Sponsor type
- University, hospital or other
- Collaborators
- Instituto de Salud Carlos III
- Responsible party
- Sponsor
- Investigators
- Esther Via, PhD, Principal investigator, Hospital Sant Joan de Deu
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06387719
- Sponsor's protocol ID
- PREC-BED Study
- Acronym
- PREC-BED
- Status last verified
- Apr 2024
- First submitted
- 27 Feb 2024
- Last updated
- 29 Apr 2024
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: All of the individual deidentified participant data may be provided to qualified researchers with academic interest in eating disorders. Data shared will be pseudonymised, with no Protected Health Information (PHI included).
Publications
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (5th Ed.). Washington, DC; 2013.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association; 2013. doi:10.1176/appi.books.9780890425596
Erskine HE, Whiteford HA. Epidemiology of binge eating disorder. Curr Opin Psychiatry. 2018 Nov;31(6):462-470. doi: 10.1097/YCO.0000000000000449.
PubMed 30113324Santomauro DF, Melen S, Mitchison D, Vos T, Whiteford H, Ferrari AJ. The hidden burden of eating disorders: an extension of estimates from the Global Burden of Disease Study 2019. Lancet Psychiatry. 2021 Apr;8(4):320-328. doi: 10.1016/S2215-0366(21)00040-7. Epub 2021 Mar 3.
PubMed 33675688Vannucci A, Nelson EE, Bongiorno DM, Pine DS, Yanovski JA, Tanofsky-Kraff M. Behavioral and neurodevelopmental precursors to binge-type eating disorders: support for the role of negative valence systems. Psychol Med. 2015 Oct;45(14):2921-36. doi: 10.1017/S003329171500104X. Epub 2015 Jun 4.
PubMed 26040923American Psychiatric Association. Anxiety Disorders. In: Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association; 2013. doi:10.1176/appi.books.9780890425596.dsm05
Marzilli E, Cerniglia L, Cimino S. A narrative review of binge eating disorder in adolescence: prevalence, impact, and psychological treatment strategies. Adolesc Health Med Ther. 2018 Jan 5;9:17-30. doi: 10.2147/AHMT.S148050. eCollection 2018.
PubMed 29379325Guerdjikova AI, Mori N, Casuto LS, McElroy SL. Update on Binge Eating Disorder. Med Clin North Am. 2019 Jul;103(4):669-680. doi: 10.1016/j.mcna.2019.02.003.
PubMed 31078199van Wijnen LG, Boluijt PR, Hoeven-Mulder HB, Bemelmans WJ, Wendel-Vos GC. Weight status, psychological health, suicidal thoughts, and suicide attempts in Dutch adolescents: results from the 2003 E-MOVO project. Obesity (Silver Spring). 2010 May;18(5):1059-61. doi: 10.1038/oby.2009.334. Epub 2009 Oct 8.
PubMed 19834472Smink FR, van Hoeken D, Oldehinkel AJ, Hoek HW. Prevalence and severity of DSM-5 eating disorders in a community cohort of adolescents. Int J Eat Disord. 2014 Sep;47(6):610-9. doi: 10.1002/eat.22316. Epub 2014 Jun 5.
PubMed 24903034Tanofsky-Kraff M, Marcus MD, Yanovski SZ, Yanovski JA. Loss of control eating disorder in children age 12 years and younger: proposed research criteria. Eat Behav. 2008 Aug;9(3):360-5. doi: 10.1016/j.eatbeh.2008.03.002. Epub 2008 Apr 7.
PubMed 18549996Decaluwe V, Braet C. Prevalence of binge-eating disorder in obese children and adolescents seeking weight-loss treatment. Int J Obes Relat Metab Disord. 2003 Mar;27(3):404-9. doi: 10.1038/sj.ijo.0802233.
PubMed 12629570Mitchison D, Touyz S, Gonzalez-Chica DA, Stocks N, Hay P. How abnormal is binge eating? 18-Year time trends in population prevalence and burden. Acta Psychiatr Scand. 2017 Aug;136(2):147-155. doi: 10.1111/acps.12735. Epub 2017 Apr 16.
PubMed 28419425Kjeldbjerg ML, Clausen L. Prevalence of binge-eating disorder among children and adolescents: a systematic review and meta-analysis. Eur Child Adolesc Psychiatry. 2023 Apr;32(4):549-574. doi: 10.1007/s00787-021-01850-2. Epub 2021 Jul 27.
PubMed 34318368Tanofsky-Kraff M, Shomaker LB, Olsen C, Roza CA, Wolkoff LE, Columbo KM, Raciti G, Zocca JM, Wilfley DE, Yanovski SZ, Yanovski JA. A prospective study of pediatric loss of control eating and psychological outcomes. J Abnorm Psychol. 2011 Feb;120(1):108-18. doi: 10.1037/a0021406.
PubMed 21114355
Study at a glance
From the registry record, last updated by the sponsor on 29 Apr 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Precursors of Binge Eating Disorder in a Clinical Sample of Adolescents With Obesity: Early MRI Markers of Brain Reward and Inhibition Processing Dysfunction
- ClinicalTrials.gov ID
- NCT06387719
- Acronym / sponsor ID
- PREC-BED / PREC-BED Study
- Conditions
- Binge-Eating Disorder, Obesity, Eating Disorders, BED, Other Specified Feeding or Eating Disorder, Eating Disorder Nos
- Keywords
- Binge Eating Disorder, Mental Health, Adolescents, Loss of control, Emotional eating, BED, youths, neuroimaging
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 102 participants (estimated)
- Lead sponsor
- Fundació Sant Joan de DéuUniversity, hospital or other
- Collaborators
- Instituto de Salud Carlos III
- Study start
- 21 Jul 2023 (actual)
- Primary completion
- Mar 2025 (estimated)
- Study completion
- May 2026 (estimated)
- First posted
- 29 Apr 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
BACKGROUND: Binge eating disorder (BED) is the worldwide most-prevalent eating disorder. It is associated with psychiatric comorbidities and obesity, a high impact in life functioning, and high morbidity and mortality. First symptoms appear frequently in youths, who most commonly present incomplete (subthreshold) criteria for BED (precursor forms, PREC-BED). While some subjects will evolve from PREC-BED to BED, there is no gold standard to identify the clinical evolution. Information from prior studies suggest early alterations in reward and inhibitory brain circuits in PREC-BED may predict increased vulnerability or resilience to develop BED. Tools based on MRI brain connectivity analyses (MRI-BC), built on robust and interpretable connectivity whole-brain models, have proven successful in diagnostic classification and predicting certain clinical outcomes. OBJECTIVES: To study MRI-BC diagnostic markers of PREC-BED and to explore prognosis at 1 year of follow-up in a sample of adolescents with obesity (12-17 years old). METHODS: A) Transversal analytical design: 3-group (n=34 per group) comparison of neuroimaging (MRI-BC), neurocognitive and clinical markers in adolescents with obesity and i) BED, ii) PREC-BED, iii) no BED nor PREC-BED (Healthy group, HC). B) Longitudinal analytical design, pilot, exploratory: adolescents with PREC-BED will be evaluated in clinical and neurocognitive variables at 1 year. Baseline brain neuroimaging variables (alone and in combination with clinical and neurocognitive variables) will be analyzed as predictors of clinical prognosis, including conversion to BED.
Detailed description
Background
Binge eating disorder (BED) has been a diagnosis on its own only since the last edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013. It is the most prevalent eating disorder worldwide, affecting more than 50 million subjects, world-wide. BED is characterized by binge eating episodes: eating a large amount of food in a discrete period and with a sense of lack of control. Two main peaks of onset have been identified: one is at mean age 14 and the second between 18-20 years old. BED is one of the primary chronic illnesses among adolescents and is commonly associated with psychiatric comorbidities (more than 60% of lifetime prevalence), but also with obesity and its physical consequences, showing a high impact in life functioning and a high morbi-mortality. BED prevalence in youth populations is between 1-3%, and up to 37% in adolescent population with obesity. These figures have raised in parallel with the high increase in obesity prevalence in this population. When considering subclinical presentations in the general population, which involve presenting some symptoms but not fulfilling all the diagnostic criteria for BED, the prevalence is 3%. Subclinical forms are described with terms such as emotional eating, disorganized eating, loss of control eating, among others. The latter is the only construct that has operationalized criteria. In some cases, but not all, individuals with these conditions might be diagnosed with specified or unspecified DSM-5 eating disorder categories ("other specified feeding or eating disorder" -OSFED-, or "eating disorder not otherwise specified" -EDNOS-).
The first symptoms of BED often appear in youths, who frequently exhibit incomplete criteria, which are associated with a future development of BED (i.e. subclinical forms or precursor forms, PREC-BED). These subclinical forms are more frequent in adolescents, in comparison to adults. The factors determining the conversion from PREC-BED to BED are unknown and to our knowledge, only one study evaluated the percentage of conversion to BED in a small sample of adolescents with PREC-BED, finding a 28% conversion rate. There is no gold standard for identifying the clinical progression of incomplete forms, which hinders prevention and personalized treatment.
The most kown underlying factor identified in BED is a dysfunction in emotional regulation, and neuroimaging studies have identified alterations in relevant brain circuits involved in these functions, such as reward response and response inhibition. These alterations are observed in BED and seem to be present in PREC-BED and could potentially predict a greater vulnerability or resilience to developing BED in the future. For example: Reward response: Subjects with BED present increased preference for immediate reward (as opposed to delayed), greater food-reward sensitivity and greater rash-spontaneous behaviour in the context of food. At the brain level, despite the scarce evidence, a large longitudinal study (i.e. Adolescent Brain Cognitive Development -ABCD- study) suggests that early brain structural differences during childhood of key reward regions (i.e. nucleus accumbens) might be a genetic predisposition for the development of obesity and possibly of an altered pattern of eating. In adult samples of BED, a few studies found structural or functional alterations in regions of the reward system. Inhibition: Evidences of poor impulse control or decreased inhibitory control come from adult samples, but also from the limited samples in youth, which are also limited. In adolescents with PREC-BED, some studies found hypoactivations during inhibitory processing regions, or during the inhibition of emotions in the the context of negative mood induction through a peer interaction paradigm. In another study, hyperactivations (as opposite to hypoactivations) of self-regulatory regions when receiving milkshake flavours during the neuroimaging session, were suggested as compensatory early mechanisms, representing an increased cognitive effort to regulate emotions under such restrictive conditions. Studies in BED were only found in adults.
Neuroimaging techniques using magnetic resonance imaging (MRI) allow for non-invasive study of live brain activity, which can be done during the participation of the subject in a task (for example, an inhibition task or a response processing task). This would allow the visualization of functional deficits evidenced during a cognitive demand; in the same manner the cardiologist may realize exercise tolerance test. Advanced MRI techniques nowadays offer unique insights into the anatomical and functional architecture of the brain. For example, advanced MRI brain connectivity (MRI-BC) techniques incorporate the modelling of brain dynamics between regions, which approximates to the inherent complexity of brain architecture and psychiatric disorders and open new perspective to investigate circuits and alterations involved in neurological and diseases. Such analysis can be conducted during a resting state in the MRI session, but also during specific task (for example, inhibition response task or reward-based task). One of the available whole-brain models of MRI-BC is called effective connectivity (EC), which provides information of the hierarchical or directional connectivity and/or activation between brain regions and networks. Our team (UPF team members) has developed a new technique to estimate EC, the MOU-EC generative model (Multivariate Ornstein-Uhlenbeck), which improves interpretability over other techniques and has been shown its relevance in predicting outcomes. Similar advanced techniques have proven useful in a few studies in eating disorders, including children with BED in one study and in EC in taste and food intake regulating circuits in anorexia and bulimia nervosa.
The development of prognostic markers in PREC-BED forms in the child and adolescent population would be highly relevant to increase the detection of these forms, prevent the development of BED, and enable early and personalized treatment. While neuroimaging markers alone and for diagnostic purposes have not yielded the expected results in other pathologies, it is possible that MRI-BC alone or in combination with other clinical and neuropsychological variables could constitute more sensitive and specific predictive models of risk, especially in pathologies with a bio-psychosocial origin like BED.
PROJECT'S AIM
The aim is to characterize regulation (reward and inhibition-based) processes in PREC-BED and BED in adolescents and to explore MRI-BC neurobiological markers of PREC-BED diagnosis and of prognosis at 1 year of follow-up.
FUNDING
Grant by the Instituto de Salud Carlos III (Ministerio de Ciencia, Innovación y Universades) and the private company Torrons Vicens.
Study design
- Observational model
- Case-control
- Time perspective
- Prospective
- Target follow-up
- 12 Months
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Control group (CG) | – | Diagnostic Test: Magnetic resonance imagingAdolescents with obesity, measured as body mass index (BMI) z-score above 2 standard deviations, and no BED/PREC-BED |
| BED group | – | Diagnostic Test: Magnetic resonance imagingadolescents with obesity, measured as BMI z-score above 2 standard deviations, and BED |
| PREC-BED group | – | Diagnostic Test: Magnetic resonance imagingadolescents with obesity, measured as BMI z-score above 2 standard deviations, PREC-BED |
Who may qualify
- Ages
- 12 to 16 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child
- Study population
- Adolescents with obesity (12-16 y/o) would be consecutively asked to participate when attending their visits at the Endocrinology Department at Hospital Sant Joan de Déu (HSJD).
Key inclusion criteria (6 listed)
- Patients derived to the Endocrinology Department with obesity as the main criterion for consultation, measured as body mass index (BMI) z-score above 2 standard deviations.
- Age between 12-16 years old.
- Signed informed consent by parents or legal guardians of subjects, plus the signed consent by the adolescent when being 12 or older years/old.
- The presence of DSM-5 criteria for BED in the BED group.
- Fulfilling the LOC (loss of control) criteria (related to the original Marcus\&Kalarchian) in the PREC-BED group.
Key exclusion criteria (8 listed)
- Intelligence quotient < 70 measured with the K-BIT.
- Any comorbid psychiatric disorder, except BED in the BED group or PREC-BED in the PREC-BED group. Tobacco use and the presence of an adaptative disorder or any mild anxiety disorder will be accepted in all groups.
- Traumatic brain injury or any neurological disorder.
- Use of dental braces (due to important artifact in MRI).
- MRI: Absolute contraindications (e.g.: metal objects), relative contraindications (claustrophobia). Anthropometric measures: Weight > 150Kg or shoulder to shoulder measurement > 70 cm.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Magnetic resonance imagingAlso: Clinical assessment, Neurocognitive assessment* Basic sequence for ethical consideration: evaluation of casual findings. * Structural MRI. * Functional MRI (fMRI) in the Resting-state * fMRI- task based. Presented in a computer screen on a magnetically compatible googles. | Diagnostic test | BED group, Control group (CG), PREC-BED group |
Primary outcome
Neuroimaging assessment
Time frame: Baseline (transversal design)
Connectivity analyses using Effective-connectivity (EC) in whole-brain models
Neuroimaging assessment
Time frame: Baseline (transversal design)
Brain response during task-based fMRI (Monetary incentive Delay Task, Stop Signal task)
28 secondary outcomes
Height
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Weight
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Waist perimeter
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
BMI
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Blood pressure
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Fasting glucose
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Triglycerides
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
HDL cholesterol
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Developmental Tanner stage
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Adherence to Mediterranean diet
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Diagnosis of BED, and PREC-BED or exclusion of other DMS-5 diagnosis.
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Functioning
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Depression
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Anxiety
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups).
Emotion Regulation
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Eating symptomatology
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Eating symptomatology
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Temperamental tendencies for sensitivity to punishment and sensitivity to reward.
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Food Addiction
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
Food intake
Time frame: Baseline and 1-year follow-up (for the HG and PREC-BED groups)
General Intelligence
Time frame: Baseline
Attention ability
Time frame: Baseline
Visuo-constructional ability and visual memory
Time frame: Baseline
Executive function: cognitive flexibility, alternating attention, sequencing, visual search, and motor speed.
Time frame: Baseline.
Executive function: working memory ability
Time frame: Baseline.
Executive function: decision-making abilities reward based
Time frame: Baseline.
Executive function: ability to inhibit cognitive interference
Time frame: Baseline.
Executive function: planning and strategic organisation
Time frame: Baseline.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 Apr 2024.
- BackgroundAmerican Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (5th Ed.). Washington, DC; 2013.
- BackgroundAmerican Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association; 2013. doi:10.1176/appi.books.9780890425596
- Background: PubMed 30113324Erskine HE, Whiteford HA. Epidemiology of binge eating disorder. Curr Opin Psychiatry. 2018 Nov;31(6):462-470. doi: 10.1097/YCO.0000000000000449.
- Background: PubMed 33675688Santomauro DF, Melen S, Mitchison D, Vos T, Whiteford H, Ferrari AJ. The hidden burden of eating disorders: an extension of estimates from the Global Burden of Disease Study 2019. Lancet Psychiatry. 2021 Apr;8(4):320-328. doi: 10.1016/S2215-0366(21)00040-7. Epub 2021 Mar 3.
- Background: PubMed 26040923Vannucci A, Nelson EE, Bongiorno DM, Pine DS, Yanovski JA, Tanofsky-Kraff M. Behavioral and neurodevelopmental precursors to binge-type eating disorders: support for the role of negative valence systems. Psychol Med. 2015 Oct;45(14):2921-36. doi: 10.1017/S003329171500104X. Epub 2015 Jun 4.
- BackgroundAmerican Psychiatric Association. Anxiety Disorders. In: Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association; 2013. doi:10.1176/appi.books.9780890425596.dsm05
- Background: PubMed 29379325Marzilli E, Cerniglia L, Cimino S. A narrative review of binge eating disorder in adolescence: prevalence, impact, and psychological treatment strategies. Adolesc Health Med Ther. 2018 Jan 5;9:17-30. doi: 10.2147/AHMT.S148050. eCollection 2018.
- Background: PubMed 31078199Guerdjikova AI, Mori N, Casuto LS, McElroy SL. Update on Binge Eating Disorder. Med Clin North Am. 2019 Jul;103(4):669-680. doi: 10.1016/j.mcna.2019.02.003.
- Background: PubMed 19834472van Wijnen LG, Boluijt PR, Hoeven-Mulder HB, Bemelmans WJ, Wendel-Vos GC. Weight status, psychological health, suicidal thoughts, and suicide attempts in Dutch adolescents: results from the 2003 E-MOVO project. Obesity (Silver Spring). 2010 May;18(5):1059-61. doi: 10.1038/oby.2009.334. Epub 2009 Oct 8.
- Background: PubMed 24903034Smink FR, van Hoeken D, Oldehinkel AJ, Hoek HW. Prevalence and severity of DSM-5 eating disorders in a community cohort of adolescents. Int J Eat Disord. 2014 Sep;47(6):610-9. doi: 10.1002/eat.22316. Epub 2014 Jun 5.
- Background: PubMed 18549996Tanofsky-Kraff M, Marcus MD, Yanovski SZ, Yanovski JA. Loss of control eating disorder in children age 12 years and younger: proposed research criteria. Eat Behav. 2008 Aug;9(3):360-5. doi: 10.1016/j.eatbeh.2008.03.002. Epub 2008 Apr 7.
- Background: PubMed 12629570Decaluwe V, Braet C. Prevalence of binge-eating disorder in obese children and adolescents seeking weight-loss treatment. Int J Obes Relat Metab Disord. 2003 Mar;27(3):404-9. doi: 10.1038/sj.ijo.0802233.
- Organization WH. Obesidad y sobrepeso. Published 2023. Accessed April 23, 2023.Link provided by the sponsor.
- ABCD Research Consortium. ABCD Study. Published 2015. Accessed March 20, 2022.Link provided by the sponsor.
- Individual participant dataSharing planned: Yes. All of the individual deidentified participant data may be provided to qualified researchers with academic interest in eating disorders. Data shared will be pseudonymised, with no Protected Health Information (PHI included).
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Esther Via, PhD principal investigator
Hospital Sant Joan de Deu
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Binge-Eating Disorder and Obesity, run by Fundació Sant Joan de Déu at 1 site in Spain.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 29 Apr 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Spain. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Esther Via, PhD (+34 673342094, evia@hsjdbcn.es), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Neuroimaging assessment (time frame: Baseline (transversal design)). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06387719, which also lists 72 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Apr 2024.