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Grant Details

Grant Number: 1R21CA175241-01A1 Interpret this number
Primary Investigator: Berkman, Elliot
Organization: University Of Oregon
Project Title: Reducing Craving for Cancer-Promoting Foods Via Cognitive Self-Regulation
Fiscal Year: 2014


Abstract

DESCRIPTION (provided by applicant): Eating energy-dense foods when one is not hungry is a contributor to overweight and obesity, which are risk factors for a range of cancers. Excessive eating of a subset of these foods, such as red meat or foods with a high glycemic index, is an additional risk factor for cancer, separate from overweight and obesity. We refer to foods that are linked to cancer through either or both routes as cancer-promoting foods. The goal of this project is to reduce cancer risk by improving cognitive self-regulation of cravings for cancer-promoting foods. We focus on craving of cancer-promoting foods as one proximal determinant of their consumption. Craving consists of a subjective sense of wanting to eat a food, a motivation to seek out the food, and recurrent or intrusive thoughts related to the food. Considerable research shows that craving is a strong predictor of eating, even in the absence of hunger. Thus, enhancing a simple, low-cost and easily disseminated tool to reduce craving for cancer-promoting foods would advance cancer prevention and related research. Studies from affective science and social neuroscience have identified cognitive self-regulation strategies that are effective in reducing craving and their associated neural systems. This work has focused mostly on craving for other appetitive stimuli (e.g., drug cues), and has only begun to study regulation of food craving. Recent results from our laboratory validated four strategies that are effective in reducing cravings for energy-dense foods. This work relies upon self-reports of craving, which provide an empirical starting point but do not demonstrate the validity of the strategies on their own. Thus, the goals of the proposed project are to provide additional support for the effectiveness of cognitive self-regulation of food cravings using other measures beyond self-report, and to validate a theoretically grounded means to further increase the efficacy of those strategies-strategy choice. These goals will be accomplished in the context of a single study with two sessions. First, participants will be randomly assigned to choose their regulation strategy or to have one selected for them. In Session 1, their self-reported cravings and neural responses will be recorded while they alternately view images of energy- dense foods and regulate their responses to those foods. These data will be used to examine the effects of food regulation on neural activation and self-reports of craving, and to compare the effect of strategy choice on those measures. In Session 2, participants will visit our behavioral laboratory three days following Session 1 for a session in which their actual intake of energy-dense food will be measured in a naturalistic and unobtrusive manner. The difference in energy-dense food intake between the two groups will provide a behavioral measure of the efficacy of strategy choice on eating. Also, brain activity during food cue reactivity and regulation from Session 1 will be used to predict intake during Session 2. Psychological theory and previous neuroscience data suggest that neural activity, particularly in the medial prefrontal cortex, might explain variance in energy-dense food intake above and beyond self-report, and might mediate the effect of strategy choice on intake.



Publications

Multivariate neural signatures for health neuroscience: Assessing spontaneous regulation during food choice.
Authors: Cosme D. , Zeithamova D. , Stice E. , Berkman E.T. .
Source: Social Cognitive And Affective Neuroscience, 2020-01-28 00:00:00.0; , .
EPub date: 2020-01-28 00:00:00.0.
PMID: 31993654
Related Citations

Neural Substrates of Food Valuation and Its Relationship With BMI and Healthy Eating in Higher BMI Individuals.
Authors: Merchant J.S. , Cosme D. , Giuliani N.R. , Dirks B. , Berkman E.T. .
Source: Frontiers In Behavioral Neuroscience, 2020; 14, p. 578676.
EPub date: 2020-12-04 00:00:00.0.
PMID: 33343310
Related Citations

Acute stress impairs children's sustained attention with increased vulnerability for children of mothers reporting higher parenting stress.
Authors: Roos L.E. , Giuliano R.J. , Beauchamp K.G. , Berkman E.T. , Knight E.L. , Fisher P.A. .
Source: Developmental Psychobiology, 2019-09-10 00:00:00.0; , .
EPub date: 2019-09-10 00:00:00.0.
PMID: 31502680
Related Citations

Brief, computerized inhibitory control training to leverage adolescent neural plasticity: A pilot effectiveness trial.
Authors: Beauchamp K.G. , Shaffer K.A. , Fisher P.A. , Berkman E.T. .
Source: Applied Neuropsychology. Child, 2018-09-28 00:00:00.0; , p. 1-17.
EPub date: 2018-09-28 00:00:00.0.
PMID: 30265572
Related Citations

The Development of Self and Identity in Adolescence: Neural Evidence and Implications for a Value-Based Choice Perspective on Motivated Behavior.
Authors: Pfeifer J.H. , Berkman E.T. .
Source: Child Development Perspectives, 2018 Sep; 12(3), p. 158-164.
EPub date: 2018-02-08 00:00:00.0.
PMID: 31363361
Related Citations

Autonomy can support affect regulation during illness and in health.
Authors: Cosme D. , Berkman E.T. .
Source: Journal Of Health Psychology, 2018-07-31 00:00:00.0; , p. 1359105318787013.
EPub date: 2018-07-31 00:00:00.0.
PMID: 30062919
Related Citations

Neural predictors of eating behavior and dietary change.
Authors: Giuliani N.R. , Merchant J.S. , Cosme D. , Berkman E.T. .
Source: Annals Of The New York Academy Of Sciences, 2018-03-15 00:00:00.0; , .
EPub date: 2018-03-15 00:00:00.0.
PMID: 29543993
Related Citations

Choosing to regulate: does choice enhance craving regulation?
Authors: Cosme D. , Mobasser A. , Zeithamova D. , Berkman E.T. , Pfeifer J.H. .
Source: Social Cognitive And Affective Neuroscience, 2018-03-01 00:00:00.0; 13(3), p. 300-309.
PMID: 29462475
Related Citations

The Neuroscience of Goals and Behavior Change.
Authors: Berkman E.T. .
Source: Consulting Psychology Journal, 2018 Mar; 70(1), p. 28-44.
PMID: 29551879
Related Citations

Efficacy of an SMS-Based Smoking Intervention Using Message Self-Authorship: A Pilot Study.
Authors: DeStasio K.L. , Hill A.P. , Berkman E.T. .
Source: Journal Of Smoking Cessation, 2018 Mar; 13(1), p. 55-58.
EPub date: 2016-12-29 00:00:00.0.
PMID: 29755598
Related Citations

Value-based choice: An integrative, neuroscience-informed model of health goals.
Authors: Berkman E.T. .
Source: Psychology & Health, 2018 Jan; 33(1), p. 40-57.
EPub date: 2017-04-13 00:00:00.0.
PMID: 28403660
Related Citations

Conceptual precision is key in acute stress research: A commentary on Shields, Sazma, & Yonelinas, 2016.
Authors: Roos L.E. , Knight E.L. , Beauchamp K.G. , Giuliano R.J. , Fisher P.A. , Berkman E.T. .
Source: Neuroscience And Biobehavioral Reviews, 2017 Dec; 83, p. 140-144.
EPub date: 2017-10-05 00:00:00.0.
PMID: 28988779
Related Citations

Acute Stress Impairs Inhibitory Control Based On Individual Differences In Parasympathetic Nervous System Activity
Authors: Roos L.E. , Knight E.L. , Beauchamp K.G. , Berkman E.T. , Faraday K. , Hyslop K. , Fisher P.A. .
Source: Biological Psychology, 2017-03-06 00:00:00.0; 125, p. 58-63.
PMID: 28268165
Related Citations

Self-Control as Value-Based Choice.
Authors: Berkman E.T. , Hutcherson C.A. , Livingston J.L. , Kahn L.E. , Inzlicht M. .
Source: Current Directions In Psychological Science, 2017; 26(5), p. 422-428.
EPub date: 2017-10-09 00:00:00.0.
PMID: 29335665
Related Citations

Finding the "self" in self-regulation: The identity-value model.
Authors: Berkman E.T. , Livingston J.L. , Kahn L.E. .
Source: Psychological Inquiry, 2017; 28(2-3), p. 77-98.
EPub date: 2017-08-18 00:00:00.0.
PMID: 30774280
Related Citations

The identity-value model of self-regulation: Integration, extension, and open questions.
Authors: Berkman E.T. , Livingston J.L. , Kahn L.E. .
Source: Psychological Inquiry, 2017; 28(2-3), p. 157-164.
EPub date: 2017-08-18 00:00:00.0.
PMID: 30774281
Related Citations

Putting the brakes on the brakes: negative emotion disrupts cognitive control network functioning and alters subsequent stopping ability.
Authors: Patterson T.K. , Lenartowicz A. , Berkman E.T. , Ji D. , Poldrack R.A. , Knowlton B.J. .
Source: Experimental Brain Research, 2016 Nov; 234(11), p. 3107-3118.
PMID: 27349996
Related Citations

Does inhibitory control training transfer?: behavioral and neural effects on an untrained emotion regulation task.
Authors: Beauchamp K.G. , Kahn L.E. , Berkman E.T. .
Source: Social Cognitive And Affective Neuroscience, 2016 Sep; 11(9), p. 1374-82.
PMID: 27217106
Related Citations

Effects of prenatal substance exposure on neurocognitive correlates of inhibitory control success and failure.
Authors: Roos L.E. , Beauchamp K.G. , Pears K.C. , Fisher P.A. , Berkman E.T. , Capaldi D. .
Source: Applied Neuropsychology. Child, 2016-06-03 00:00:00.0; , p. 1-12.
EPub date: 2016-06-03 00:00:00.0.
PMID: 27261058
Related Citations

Designing Interventions Informed by Scientific Knowledge About Effects of Early Adversity: A Translational Neuroscience Agenda for Next Generation Addictions Research.
Authors: Fisher P.A. , Berkman E.T. .
Source: Current Addiction Reports, 2015-12-01 00:00:00.0; 2(4), p. 347-353.
EPub date: 2015-12-01 00:00:00.0.
PMID: 26985399
Related Citations

Six Questions for the Resource Model of Control (and Some Answers).
Authors: Inzlicht M. , Berkman E. .
Source: Social And Personality Psychology Compass, 2015 Oct; 9(10), p. 511-524.
EPub date: 2015-10-05 00:00:00.0.
PMID: 28966660
Related Citations

Prediction of daily food intake as a function of measurement modality and restriction status.
Authors: Giuliani N.R. , Tomiyama A.J. , Mann T. , Berkman E.T. .
Source: Psychosomatic Medicine, 2015 Jun; 77(5), p. 583-90.
PMID: 25984820
Related Citations

Craving is an Affective State and Its Regulation Can Be Understood in Terms of the Extended Process Model of Emotion Regulation.
Authors: Giuliani N.R. , Berkman E.T. .
Source: Psychological Inquiry, 2015; 26(1), p. 48-53.
PMID: 25780321
Related Citations

Sociality as a natural mechanism of public goods provision.
Authors: Berkman E.T. , Lukinova E. , Menshikov I. , Myagkov M. .
Source: Plos One, 2015; 10(3), p. e0119685.
PMID: 25790099
Related Citations

Neural Correlates of Attentional Flexibility during Approach and Avoidance Motivation.
Authors: Calcott R.D. , Berkman E.T. .
Source: Plos One, 2015; 10(5), p. e0127203.
PMID: 26000735
Related Citations



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