Grant Details
Grant Number: |
5R01CA240452-02 Interpret this number |
Primary Investigator: |
Berkman, Elliot |
Organization: |
University Of Oregon |
Project Title: |
Construal Level as a Novel Pathway for Affect Regulation and Cancer Control |
Fiscal Year: |
2021 |
Abstract
7. Project Summary/Abstract
Lung cancer is the leading major cause of preventable death in the United States, and cigarette smoking is a
contributor to lung cancer in 80%–90% of cases. Though adult cigarette smoking rates have declined
substantially during the past 50 years, they remain as high as 30% in certain groups, such as individuals living
in poverty. Quitting is difficult: a given quit attempt results in cessation in fewer than 10% of cases, and most
adult cigarette smokers have attempted and failed to quit, and often many times. What is urgently needed are
novel interventions for cigarette smoking cessation that operate through different mechanisms from those
targeted by existing interventions, which are likely to have been unsuccessful for persistent smokers. A barrier
to progress is that the mechanisms of action of most treatments are not known, which makes it difficult to know
which treatment will work best for whom. We turn to affective science to identify a candidate technique that
could serve as the basis for a novel intervention. Research on affect regulation typically focuses on down-
regulation of affective states, such as craving for cigarettes, using effortful strategies such as cognitive
reappraisal. However, a new insight in affect regulation is that people can construe, or subjectively understand,
events with varying levels of abstraction, and that construing health-related behaviors in high- versus low-level
terms promotes health behavior in several domains. For example, smokers who want to quit are more likely to
resist a cigarette when they construe the same event (e.g., “abstinence”) in more abstract, high-level terms
(e.g., “becoming a better me”) versus more concrete, low-level terms (e.g., “not smoking this cigarette”). There
is some evidence that high-level construal might rely on distinct mechanisms from traditional affect regulation
and smoking reduction interventions, but its mechanisms of action are unknown. Directly comparing its
mechanisms to those of alternative affect regulation strategies and developing tools to induce high-level
construal are the next steps on the path toward developing a novel intervention. Also, establishing individual
differences in the effects of high-level construal will allow future interventions to be targeted to the individuals
for whom they will be maximally effective. We identified two candidate mechanisms through which high-level
construal might operate: down-regulation of craving and up-regulation of goal energization (i.e., motivation to
quit). Functional magnetic resonance imaging (fMRI) revealed the neural systems engaged by those processes
to be distinct. So, we will use multivariate analyses of fMRI data to quantify the similarity of high-level construal
to each candidate (Aim 1). This will be done in a longitudinal translational experiment with 4 conditions—high-
level construal, down-regulation of craving, up-regulation of goal energization, and treatment-as-usual—in a
sample of persistent smokers in poverty, who are the most likely to benefit from a novel, theory-based
treatment. The sample size (N = 240) affords an examination of individual differences in the effect of high-level
construal on neural activity and craving, and the degree to which they predict smoking reduction (Aim 2).
Publications
Motivational dynamics of self-control.
Authors: Werner K.M.
, Berkman E.T.
.
Source: Current Opinion In Psychology, 2024 Oct; 59, p. 101859.
EPub date: 2024-08-08 00:00:00.0.
PMID: 39173561
Related Citations
Randomized trial of parent-child interaction therapy improves child-welfare parents' behavior, self-regulation, and self-perceptions.
Authors: Skowron E.A.
, Nekkanti A.K.
, Skoranski A.M.
, Scholtes C.M.
, Lyons E.R.
, Mills K.L.
, Bard D.
, Rock A.
, Berkman E.
, Bard E.
, et al.
.
Source: Journal Of Consulting And Clinical Psychology, 2024 Feb; 92(2), p. 75-92.
EPub date: 2023-12-07 00:00:00.0.
PMID: 38059943
Related Citations
Prepared and reactive inhibition in smokers and non-smokers.
Authors: Schultz K.E.
, Mantell B.
, Berkman E.T.
, Swann N.C.
.
Source: Behavioural Brain Research, 2023-02-02 00:00:00.0; 437, p. 114120.
EPub date: 2022-09-28 00:00:00.0.
PMID: 36181947
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The social neuroscience of eating: an introduction to the special issue.
Authors: Hall P.A.
, Rolls E.
, Berkman E.
.
Source: Social Cognitive And Affective Neuroscience, 2023-01-09 00:00:00.0; 18(1), .
PMID: 36458671
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Striatal response to negative feedback in a stop signal task operates as a multi-value learning signal.
Authors: Smith B.J.
, Lipsett M.
, Cosme D.
, Braun V.A.
, O'Hagan A.M.B.
, Berkman E.T.
.
Source: Imaging Neuroscience (cambridge, Mass.), 2023; 1, .
EPub date: 2023-11-03 00:00:00.0.
PMID: 38050634
Related Citations
Efficacy of a combined food-response inhibition and attention training for weight loss.
Authors: Stice E.
, Yokum S.
, Nelson T.D.
, Berkman E.
, Veling H.
, Lawrence N.
.
Source: Current Opinion In Behavioral Sciences, 2022 Aug; 46, .
EPub date: 2022-06-15 00:00:00.0.
PMID: 36817801
Related Citations
Efficacy of a combined food-response inhibition and attention training for weight loss.
Authors: Stice E.
, Yokum S.
, Nelson T.D.
, Berkman E.
, Veling H.
, Lawrence N.
.
Source: Current Opinion In Behavioral Sciences, 2022 Aug; 46, .
EPub date: 2022-06-15 00:00:00.0.
PMID: 36817801
Related Citations
Modeling incentive salience in Pavlovian learning more parsimoniously using a multiple attribute model.
Authors: Smith B.J.
, Read S.J.
.
Source: Cognitive, Affective & Behavioral Neuroscience, 2022 04; 22(2), p. 244-257.
EPub date: 2021-10-21 00:00:00.0.
PMID: 34676496
Related Citations
Psychological Science in the Wake of COVID-19: Social, Methodological, and Metascientific Considerations.
Authors: Rosenfeld D.L.
, Balcetis E.
, Bastian B.
, Berkman E.T.
, Bosson J.K.
, Brannon T.N.
, Burrow A.L.
, Cameron C.D.
, Chen S.
, Cook J.E.
, et al.
.
Source: Perspectives On Psychological Science : A Journal Of The Association For Psychological Science, 2021-10-01 00:00:00.0; , p. 1745691621999374.
EPub date: 2021-10-01 00:00:00.0.
PMID: 34597198
Related Citations
Test-retest reliability of functional MRI food receipt, anticipated receipt, and picture tasks.
Authors: Yokum S.
, Bohon C.
, Berkman E.
, Stice E.
.
Source: The American Journal Of Clinical Nutrition, 2021-08-02 00:00:00.0; 114(2), p. 764-779.
PMID: 33851199
Related Citations
So Useful as a Good Theory? The Practicality Crisis in (Social) Psychological Theory.
Authors: Berkman E.T.
, Wilson S.M.
.
Source: Perspectives On Psychological Science : A Journal Of The Association For Psychological Science, 2021-01-07 00:00:00.0; , p. 1745691620969650.
EPub date: 2021-01-07 00:00:00.0.
PMID: 33412079
Related Citations
Reducing mental health disparities by increasing the personal relevance of interventions.
Authors: Hall G.C.N.
, Berkman E.T.
, Zane N.W.
, Leong F.T.L.
, Hwang W.C.
, Nezu A.M.
, Nezu C.M.
, Hong J.J.
, Chu J.P.
, Huang E.R.
.
Source: The American Psychologist, 2021 01; 76(1), p. 91-103.
EPub date: 2020-03-02 00:00:00.0.
PMID: 32118456
Related Citations
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
Brain Activity Associated With Regulating Food Cravings Predicts Changes in Self-Reported Food Craving and Consumption Over Time.
Authors: Giuliani N.R.
, Cosme D.
, Merchant J.S.
, Dirks B.
, Berkman E.T.
.
Source: Frontiers In Human Neuroscience, 2020; 14, p. 577669.
EPub date: 2020-11-12 00:00:00.0.
PMID: 33281580
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
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