ReviewNutrients2014
Food addiction: an evolving nonlinear science.
Review in Nutrients, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis assessing reliability of the Yale Food Addiction Scale: Implications for compulsive eating and obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- "Once I take that one bite": the consideration of harm reduction as a strategy to support dietary change for patients with diabetes.BMC endocrine disorders · 2024Article
- Food Knowledge, Habits, Practices, and Addiction Among Adolescents: A Cross-Sectional Investigation.Cureus · 2023Article
- Linking drug and food addiction: an overview of the shared neural circuits and behavioral phenotype.Frontiers in behavioral neuroscience · 2023Review
- The FODRAT study (FOod addiction, DRugs, Alcohol and Tobacco): first data on food addiction prevalence among patients with addiction to drugs, tobacco and alcohol.Eating and weight disorders : EWD · 2021Observational
- Structural validity, measurement invariance, reliability and diagnostic accuracy of the Italian version of the Yale Food Addiction Scale 2.0 in patients with severe obesity and the general population.Eating and weight disorders : EWD · 2021Article
- Fat Addiction: Psychological and Physiological Trajectory.Nutrients · 2019Review
- Neuromodulation of metabolic functions: from pharmaceuticals to bioelectronics to biocircuits.Journal of biological engineering · 2019Review
- Executive functioning and psychological symptoms in food addiction: a study among individuals with severe obesity.Eating and weight disorders : EWD · 2018Article
- Incorporating food addiction into disordered eating: the disordered eating food addiction nutrition guide (DEFANG).Eating and weight disorders : EWD · 2017Review
- Back by Popular Demand: A Narrative Review on the History of Food Addiction Research.The Yale journal of biology and medicine · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this review is to familiarize readers with the role that addiction plays in the formation and treatment of obesity, type 2 diabetes and disorders of eating. We will outline several useful models that integrate metabolism, addiction, and human relationship adaptations to eating. A special effort will be made to demonstrate how the use of simple and straightforward nonlinear models can and are being used to improve our knowledge and treatment of patients suffering from nutritional pathology. Moving forward, the reader should be able to incorporate some of the findings in this review into their own practice, research, teaching efforts or other interests in the fields of nutrition, diabetes, and/or bariatric (weight) management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.