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

Towards a more custom tailored treatment of obesity: Subtyping the motivation to overeat - Analyses of eating behavior

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON41567

Enrollment

400

Registered

2012-05-15

Start date

2012-10-31

Completion date

Unknown

Last updated

2024-05-06

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

Conditions

obesitas obesity overweight

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1. Subjects must be between 18 and 70 years of age 2. BMI

Exclusion criteria

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.

Design outcomes

Primary

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

Measure

Time frame

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

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Countries

Netherlands

Outcome results