Fiche PDF - Ecole Doctorale des Sciences de la Vie et de la Santé

Ecole Doctorale Sciences de la Vie et de la Santé - Call for proposals thesis 2016/2017
Laboratory title
: CNRS USR 3413 - Pierre Philip
Supervisor
Name : Melina FATSEAS
Thesis title :
Diagnostic and prognostic characterization of food addiction in humans
Keywords : Addiction, Food, Eating behavior, Clinical behavioral neuroscience, Evaluative psychology
Contact
Firstname : Mélina
E-mail :
FATSÉAS
[email protected]
phone number :
Fax :
Name :
0556561738
0556561727
Abstract
Recent studies have suggested that addiction to substances and food addiction share similar neurobiological and behavioral
characteristics. The hypothesis of food addiction is based on loss of control of consumption of hyper palatable foods (sweet and / or
fat), which activate the reward system and disrupt homeostatic regulation of appetite. However, to date, the level of evidence to
confirm or deny the existence of food addiction is still insufficient.
Objectives
-Characterization of food addiction in different populations (subjects with other addiction, subjects with eating disorders, subjects
treated for obesity)
-Assessesment of comorbidities and factors associated with food addiction, and offer a better understanding of its relationship with
eating disorders and psychiatric disorders
-Development and validation of food addiction assessment tools (diagnostic tool, severity multidimensional assessment tool) from
tools already used and validated to assess substance and gambling addiction.
Methods
-Semi-structured interviews with human subjects
-Use of standardized research instruments (Addiction Severity Index, Yale Food Addiction Scale, Eating Disorder Examination
Questionnaire, Mini International Neuropsychiatric Interview)
-Validation of assessment tools: measure of psychometric properties, item response theory
Qualification required
Willingness to integrate a multidisciplinary human research project
Good knowledge of addiction (neurobiological, behavioral and clinical)
Basic notions in methods and statistics in Human model research
Experience in interviews with patients and non-patient humans
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