Towards a more custom tailored treatment of obesity: Subtyping the motivation to overeat

Completed

Conditions: obesitas
obesity
overweight

Registration Number: NL-OMON41567

Lead Sponsor: Alan Turing Institute Almere

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: Completed

Sex: Not specified

Target Recruitment: 400

Inclusion Criteria

1. Subjects must be between 18 and 70 years of age
2. BMI < 35
3. Male or female
4. Subjects must be able to read and understand Dutch language and instructions
5. Subjects must have ample sight and hearing
6. Signed informed consent

Exclusion Criteria

1. Pregnancy
2. Use of psychoactive medication (ATC groups N03 through N07), or medication with significant psychoactive side-effects, currently or during the past 3 months, including, but not restricted to antidepressants, psychostimulants and antipsychotics.
3. Use of medication with significant effects on body weight, currently or during the past 3 months, with the exception of drugs used for treatment of comorbidities of obesity (e.g. rosiglitazone).
4. Significant use of illicit psychoactive substances, currently or during the past 3 months as reported by the participant.
5. Abuse of or dependence on legal psychoactive substances (alcohol, nicotine, cannabis), currently or during the past 3 months.

Study & Design

Study Type: Observational non invasive

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>The classification of the obese into three subtypes for their<br /><br>motivation to overeat, and the role of genetic and biochemical variations. We<br /><br>expect to identify: !)<br /><br>hedonic eaters, 2) Reward deficient eaters, 3) Stress-activated eaters. After<br /><br>initial data analysis using<br /><br>conventional statistics, antropometric, psychological, biochemical and genetic<br /><br>data will be entered in a<br /><br>unique heterogeneous multi-agent system, developed and available at ATIA,<br /><br>allowing the identification<br /><br>of unexpected nonlinear correlations between parameters, providing information<br /><br>on previously<br /><br>unknown interactions, which will provide further insight in the development of<br /><br>obesity in our study<br /><br>participants.</p><br>

Secondary Outcome Measures