Long, C. G., Blundell, J. E., & Finlayson, G. (2015). A Systematic Review of the Application And Correlates of YFAS-Diagnosed 'Food Addiction' in Humans: Are Eating-Related 'Addictions' a Cause for Concern or Empty Concepts?. Obesity facts, 8(6), 386–401. https://doi.org/10.1159/000442403
Murray, S. M., Tulloch, A. J., Chen, E. Y., & Avena, N. M. (2015). Insights revealed by rodent models of sugar binge eating. CNS Spectrums, 20(6), 530–536. https://doi.org/10.1017/S1092852915000656
Pursey, K. M., Collins, C. E., Stanwell, P., & Burrows, T. L. (2016). The stability of ‘food addiction’ as assessed by the Yale Food Addiction Scale in a non-clinical population over 18-months. Appetite, 96, 533-538. https://doi.org/10.1016/j.appet.2015.10.015
Prevalence of Food Addiction Among Low-Income Reproductive-Aged Women
Meule, A. (2015). Back by Popular Demand: A Narrative Review on the History of Food Addiction Research. The Yale Journal of Biology and Medicine, 88(3), 295–302. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553650/
Raymond, K. L., & Lovell, G. P. (2015). Food addiction symptomology, impulsivity, mood, and body mass index in people with type two diabetes. Appetite, 95, 383-389. https://doi.org/10.1016/j.appet.2015.07.030
Brunault P, Salamé E, Jaafari N, Courtois R, Réveillère C, Silvain C, Benyamina A, Blecha L, Belin D, Ballon N.Why do liver transplant patients so often become obese? The addiction transfer hypothesis. Med Hypotheses. 2015 Jul;85(1):68-75. https://doi.org/10.1016/j.mehy.2015.03.026Epub 2015 Apr 3. PMID: 25896392
Pressman, P., Clemens, R. A., & Rodriguez, H. A. (2015). Food Addiction: Clinical Reality or Mythology. The American Journal of Medicine, 128(11), 1165-1166. https://doi.org/10.1016/j.amjmed.2015.05.046
Rivera HM, Christiansen KJ, Sullivan EL. The role of maternal obesity in the risk of neuropsychiatric disorders. Front Neurosci. 2015 Jun 18;9:194. https://doi.org/10.3389/fnins.2015.00194 eCollection 2015. PMID: 26150767
Chen, G., Tang, Z., Guo, G., Liu, X., & Xiao, S. (2015). The Chinese version of the Yale Food Addiction Scale: An examination of its validation in a sample of female adolescents. Eat Behav, 18, 97-102. https://doi.org/10.1016/j.eatbeh.2015.05.002
Ifland, J., Preuss, H. G., Marcus, M. T., Rourke, K. M., Taylor, W., & Wright, H. T. (2015). Clearing the Confusion around Processed Food Addiction. Journal of the American College of Nutrition, 34(3), 240–243. https://doi.org/10.1080/07315724.2015.1022466
Ifland, J., Preuss, H. G., Marcus, M. T., Rourke, K. M., Taylor, W., & Wright, H. T. (2015). Clearing the Confusion around Processed Food Addiction. Journal of the American College of Nutrition, 34(3), 240–243. https://doi.org/10.1080/07315724.2015.1022466
From the research article’s abstract: “Objectives: We propose that highly processed foods share pharmacokinetic properties (e.g. concentrated dose, rapid rate of absorption) with drugs of abuse, due to the addition of fat and/or refined carbohydrates and the rapid rate the refined carbohydrates are absorbed into the system, indicated by glycemic load (GL). The current study provides preliminary evidence for the foods and food attributes implicated in addictive-like eating. Design: Cross-sectional. Setting: University (Study One) and community (Study Two). Participants: 120 undergraduates participated in Study One and 384 participants recruited through Amazon MTurk participated in Study Two. Measurements: In Study One, participants (n = 120) completed the Yale Food Addiction Scale (YFAS) followed by a forced-choice task to indicate which foods, out of 35 foods varying in nutritional composition, were most associated with addictive-like eating behaviors. Using the same 35 foods, Study Two utilized hierarchical linear modeling to investigate which food attributes (e.g., fat grams) were related to addictive-like eating behavior (at level one) and explored the influence of individual differences for this association (at level two). Results: In Study One, processed foods, higher in fat and GL, were most frequently associated with addictive-like eating behaviors. In Study Two, processing was a large, positive predictor for whether a food was associated with problematic, addictive-like eating behaviors. BMI and YFAS symptom count were small-to-moderate, positive predictors for this association. In a separate model, fat and GL were large, positive predictors of problematic food ratings. YFAS symptom count was a small, positive predictor of the relationship between GL and food ratings. Conclusion: The current study provides preliminary evidence that not all foods are equally implicated in addictive-like eating behavior, and highly processed foods, which may share characteristics with drugs of abuse (e.g. high dose, rapid rate of absorption) appear to be particularly associated with “food addiction.””
Locke, A. E., Kahali, B., Berndt, S. I., Justice, A. E., Pers, T. H., Day, F. R., Powell, C., Vedantam, S., Buchkovich, M. (7538), 197–206. https://doi.org/10.1038/nature14177
Tulloch, A. J., Murray, S., Vaicekonyte, R., & Avena, N. M. (2015). Neural responses to macronutrients: hedonic and homeostatic mechanisms. Gastroenterology, 148(6), 1205–1218. https://doi.org/10.1053/j.gastro.2014.12.058
Avena, N. M., Potenza, M. N., & Gold, M. S. (2015). Why are we consuming so much sugar despite knowing too much can harm us? JAMA internal medicine, 175(1), 145—146. https://doi.org/10.1001/jamainternmed.2014.6968
Pedram, P., & Sun, G. (2014). Hormonal and Dietary Characteristics in Obese Human Subjects with and without Food Addiction. Nutrients, 7(1), 223-238. https://doi.org/10.3390/nu7010223
Davis, C. (2014). Evolutionary and neuropsychological perspectives on addictive behaviors and addictive substances: relevance to the "food addiction" construct. Subst Abuse Rehabil, 5, 129137. https://doi.org/10.2147/SAR.S56835
Shriner, R., & Gold, M. (2014). Food addiction: an evolving nonlinear science. Nutrients, 6(11), 5370-5391. https://doi.org/10.3390/nu6115370
Shriner, R., & Gold, M. (2014). Food addiction: an evolving nonlinear science. Nutrients, 6(11), 5370-5391. https://doi.org/10.3390/nu6115370
