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The cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study

This study investigates the relationship between three different cognitive processes underlying the Iowa Gambling Task (IGT) and adolescent smoking behaviors in a longitudinal study. We conducted a longitudinal study of 181 Chinese adolescents in Chengdu City, China. The participants were followed f...

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Autores principales: Xiao, Lin, Koritzky, Gilly, Johnson, C. Anderson, Bechara, Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787307/
https://www.ncbi.nlm.nih.gov/pubmed/24101911
http://dx.doi.org/10.3389/fpsyg.2013.00685
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author Xiao, Lin
Koritzky, Gilly
Johnson, C. Anderson
Bechara, Antoine
author_facet Xiao, Lin
Koritzky, Gilly
Johnson, C. Anderson
Bechara, Antoine
author_sort Xiao, Lin
collection PubMed
description This study investigates the relationship between three different cognitive processes underlying the Iowa Gambling Task (IGT) and adolescent smoking behaviors in a longitudinal study. We conducted a longitudinal study of 181 Chinese adolescents in Chengdu City, China. The participants were followed from 10th to 11th grade. When they were in the 10th grade (Time 1), we tested these adolescents' decision-making using the IGT and working memory capacity using the Self-ordered Pointing Test (SOPT). Self-report questionnaires were used to assess school academic performance and smoking behaviors. The same questionnaires were completed again at the 1-year follow-up (Time 2). The Expectancy-Valence (EV) Model was applied to distill the IGT performance into three different underlying psychological components: (i) a motivational component which indicates the subjective weight the adolescents assign to gains vs. losses; (ii) a learning-rate component which indicates the sensitivity to recent outcomes vs. past experiences; and (iii) a response component which indicates how consistent the adolescents are between learning and responding. The subjective weight to gains vs. losses at Time 1 significantly predicted current smokers and current smoking levels at Time 2, controlling for demographic variables and baseline smoking behaviors. Therefore, by decomposing the IGT into three different psychological components, we found that the motivational process of weight gain vs. losses may serve as a neuropsychological marker to predict adolescent smoking behaviors in a general youth population.
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spelling pubmed-37873072013-10-07 The cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study Xiao, Lin Koritzky, Gilly Johnson, C. Anderson Bechara, Antoine Front Psychol Neuroscience This study investigates the relationship between three different cognitive processes underlying the Iowa Gambling Task (IGT) and adolescent smoking behaviors in a longitudinal study. We conducted a longitudinal study of 181 Chinese adolescents in Chengdu City, China. The participants were followed from 10th to 11th grade. When they were in the 10th grade (Time 1), we tested these adolescents' decision-making using the IGT and working memory capacity using the Self-ordered Pointing Test (SOPT). Self-report questionnaires were used to assess school academic performance and smoking behaviors. The same questionnaires were completed again at the 1-year follow-up (Time 2). The Expectancy-Valence (EV) Model was applied to distill the IGT performance into three different underlying psychological components: (i) a motivational component which indicates the subjective weight the adolescents assign to gains vs. losses; (ii) a learning-rate component which indicates the sensitivity to recent outcomes vs. past experiences; and (iii) a response component which indicates how consistent the adolescents are between learning and responding. The subjective weight to gains vs. losses at Time 1 significantly predicted current smokers and current smoking levels at Time 2, controlling for demographic variables and baseline smoking behaviors. Therefore, by decomposing the IGT into three different psychological components, we found that the motivational process of weight gain vs. losses may serve as a neuropsychological marker to predict adolescent smoking behaviors in a general youth population. Frontiers Media S.A. 2013-10-01 /pmc/articles/PMC3787307/ /pubmed/24101911 http://dx.doi.org/10.3389/fpsyg.2013.00685 Text en Copyright © 2013 Xiao, Koritzky, Johnson and Bechara. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Xiao, Lin
Koritzky, Gilly
Johnson, C. Anderson
Bechara, Antoine
The cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study
title The cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study
title_full The cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study
title_fullStr The cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study
title_full_unstemmed The cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study
title_short The cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study
title_sort cognitive processes underlying affective decision-making predicting adolescent smoking behaviors in a longitudinal study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787307/
https://www.ncbi.nlm.nih.gov/pubmed/24101911
http://dx.doi.org/10.3389/fpsyg.2013.00685
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