Development and validation of the modified Yale Food Addiction Scale for Children 2.0.

Objective: Scientific interest in the concept of food addiction is growing, but more studies are needed in youth samples. Brief, psychometrically valid, and developmentally appropriate measures are needed to support the assessment of food addiction in large-scale studies of youth that need to minimize participant burden. While a brief version of the Yale Food Addiction Scale 2.

Food addiction is strongly associated with type 2 diabetes.

Background & Aims: Individuals can develop an addiction-like attraction towards highly processed foods, which has led to the conceptualization of food addiction, a phenotype linked to obesity. In this study, we investigated whether food addiction is associated with type 2 diabetes (T2D).

Methods: 1699 adults from the general population and 1394 adults from a population with clinically verified mental disorder completed a cross-sectional survey including the Yale Food Addiction Scale 2.

Psychometric validation of the full Yale food addiction scale for children 2.0 among adolescents from the general population and adolescents with a history of mental disorder.

Objective: Food addiction is a phenotype characterised by an addiction-like attraction to highly processed foods. Adolescence is a sensitive period for developing addictive disorders. Therefore, a valid measure to assess food addiction in adolescents is needed.

Food addiction comorbid to mental disorders in adolescents: a nationwide survey and register-based study.

Purpose: Adolescence is a high-risk period for development of addictive behavior. This may also apply to addiction-like eating of highly processed foods-commonly referred to as "food addiction". Adolescents with mental disorder may be at particularly elevated risk of developing food addiction as addiction often accompanies mental disorder.

Validation of the dimensional Yale Food Addiction Scale for Children 2.0 and estimation of the weighted food addiction score in a sample of adolescents from the general population.

Purpose: Obesity among adolescents is becoming increasingly prevalent and "food addiction" (addiction-like attraction to foods with high content of fat and refined carbohydrates) may be a potential contributor to this development. This study aimed to investigate the psychometric properties of the dimensional Yale Food Addiction Scale for Children version 2.0 (dYFAS-C 2.

Food addiction comorbid to mental disorders: A nationwide survey and register-based study.

Objective: Substance use disorder is highly prevalent among individuals with mental disorders. However, it remains largely unknown whether this is also the case for "food addiction"-a phenotype characterized by an addiction-like attraction to predominantly highly processed foods with a high content of refined carbohydrates and fat. Therefore, the primary aim of this study was to estimate the weighted prevalence of food addiction among individuals with mental disorders.

Validation of the Yale Food Addiction Scale 2.0 and estimation of the population prevalence of food addiction.

Background & Aims: Food addiction (FA) is likely to contribute to the global obesity epidemic. Most studies of FA have been conducted within clinical and/or highly selected populations, suggesting that prevalence estimates of FA may be biased. This is problematic as valid estimates of the population prevalence of FA is a requirement for informing and designing public health initiatives focusing on this phenotype.

The Food Addiction Denmark (FADK) Project: a combined survey and register-based study.

Background: Obesity represents a tremendous global health problem. Studies over the past decade have suggested that food addiction (FA), that is, physical cravings for certain foods - high in fat/sugar - and addiction-like overeating of these types of food, is a likely contributor to the obesity epidemic. While FA has been studied extensively, there are some significant gaps in the literature that need to be addressed: (I) Most estimates of the prevalence of FA are based on nonprobability sampling, which significantly limits the representativeness of the prevalence estimates.