Volkow, N. D., & O’Brien, C. P. (2007). Issues for DSM-V: should obesity be included as a brain disorder? The American journal of psychiatry, 164(5), 708—710. htt s: doi.or 10.1176 .2007.164.5.708 Editorial Volkow_ND .pdf
Issues for DSM-V: Should Obesity Be Included as a Brain Disorder?
Volkow, N. D., & O’Brien, C. P. (2007). Issues for DSM-V: should obesity be included as a brain disorder?. American Journal of Psychiatry, 164(5), 708–710. https://doi.org/10.1176/ajp.2007.164.5.708 From the research article’s abstract: “Obesity (body mass index >30), has increased significantly over the past 30 years (approximately 50% per decade) (1), afflicting 32.2% of adults in the United States (2) . Obesity increases risk for cardiovascular disease, diabetes, cancer, and other diseases, resulting in annual health care costs conservatively estimated for the United States at $70 to $100 billion a year (3) as well as reductions in life expectancy by 5 to 20 years (4) . These facts highlight the urgent need to develop strategies to prevent and treat those afflicted. Although there have been major scientific advances in the treatment of the medical complications of obesity (i.e., diabetes, hypertension hypercholesterolemia), the morbidity from this disorder is hampered by the failure of interventions to sustain weight loss.
Evidence for sugar addiction behavioral and neurochemical effects of intermittent, excessive sugar intake
Avena, N. M., Rada, P., & Hoebel, B. G. (2008). Evidence for sugar addiction: behavioral and neurochemical effects of intermittent, excessive sugar intake. Neuroscience and biobehavioral reviews, 32(1), 20—39. https://doi.org/10.1016/j.neubiorev.2007.04.019 Review avena2008 .pdf
The Neurobiology of Addiction: Implications for Voluntary Control of Behavior
Hyman S. E. (2007). The neurobiology of addiction: implications for voluntary control of behavior. The American journal of bioethics : AJOB, 7(1), 8–11. https://doi.org/10.1080/15265160601063969 From the neurobiology article’s key finding: “Addicted individuals have substantial impairments in cognitive control but this ‘loss of control’ is not complete or simple.”
Involvement of the endocannabinoid system in drug addiction
Maldonado, R., Valverde, O., & Berrendero, F. (2006). Involvement of the endocannabinoid system in drug addiction. Trends in Neurosciences, 29(4), 225–232. https://doi.org/10.1016/j.tins.2006.01.008 From the research article’s abstract: “Recent studies have shown that the endocannabinoid system is involved in the common neurobiological mechanism underlying drug addiction. This system participates in the primary rewarding effects of cannabinoids, nicotine, alcohol and opioids, through the release of endocannabinoids in the ventral tegmental area. Endocannabinoids are also involved in the motivation to seek drugs by a dopamine-independent mechanism, demonstrated for psychostimulants and opioids. The endocannabinoid system also participates in the common mechanisms underlying relapse to drug-seeking behaviour by mediating the motivational effects of drug-related environmental stimuli and drug re-exposure. In agreement, clinical trials have suggested that the CB1 cannabinoid antagonist rimonabant can cause smoking cessation. Thus, CB1 cannabinoid antagonists could represent a new generation of compounds to treat drug addiction.”
Body mass predicts orbitofrontal activity during visual presentations of high-calorie foods
Killgore, W. D. S., & Yurgelun-Todd, D. A. (2005). Body mass predicts orbitofrontal activity during visual presentations of high-calorie foods. NeuroReport, 16(8), 859–863. https://doi.org/10.1097/00001756-200505310-00016 From the research article’s abstract: “Little is known about the relationship between weight status and reward-related brain activity in normal weight humans. We correlated orbitofrontal and anterior cingulate cortex activity as measured by functional magnetic resonance imaging with body mass index in 13 healthy, normal-weight adult women as they viewed images of high-calorie and low-calorie foods, and dining-related utensils. Body mass index correlated negatively with both cingulate and orbitofrontal activity during high-calorie viewing, negatively with orbitofrontal activity during low-calorie viewing, and positively with orbitofrontal activity during presentations of nonedible utensils. With greater body mass, activity was reduced in brain regions important for evaluating and modifying learned stimulus–reward associations, suggesting a relationship between weight status and responsiveness of the orbitofrontal cortex to rewarding food images.”
How can drug addiction help us understand obesity?
Volkow, N. D., & Wise, R. A. (2005). How can drug addiction help us understand obesity? Nature neuroscience, 8(5), 555—560. https://doi.org/10.1038/nn1452 Commentary Link
How can drug addiction help us understand obesity?
Volkow, N. D., & Wise, R. A. (2005). How can drug addiction help us understand obesity?. Nature Neuroscience, 8(5), 555–560. https://doi.org/10.1038/nn1452 From the research article’s abstract: “To the degree that drugs and food activate common reward circuitry in the brain, drugs offer powerful tools for understanding the neural circuitry that mediates food-motivated habits and how this circuitry may be hijacked to cause appetitive behaviors to go awry.”
Toward a Syndrome Model of Addiction: Multiple Expressions, Common Etiology
Shaffer, H. J., LaPlante, D. A., LaBrie, R. A., Kidman, R. C., Donato, A. N., & Stanton, M. V. (2004). Toward a syndrome model of addiction: Multiple expressions, common etiology. Harvard Review of Psychiatry, 12(6), 367-374. https://doi.org/10.1080/10673220490905705 From the research article’s abstract: “Research about alcohol, tobacco, illegal drug use, gambling, and eating disorders have revealed commonalities that support the use of the syndrome model of addiction. Yet no coherent framework exists to explicate the syndrome. This article introduces a syndrome model of addiction that holds that all addictions reside on an etiological spectrum of disorders. The model proposes that addictions are more alike than unalike and all addictions share common etiological factors associated with genetic influences, neurobiological deficiencies, repeated behaviors, and psychological and social stressors. The model also suggests that just as there are multiple pathways to addictions, there are multiple pathways away from addictions. Prevention and treatment implications of the model are examined.”
Medical consequences of obesity
Bray G. A. (2004). Medical consequences of obesity. The Journal of clinical endocrinology and metabolism, 89(6), 2583–2589. https://doi.org/10.1210/jc.2004-0535
