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Associations of delay discounting and drinking trajectories from ages 14 to 22
Background While drinking alcohol, one must choose between the immediate rewarding effects and the delayed reward of a healthier lifestyle. Individuals differ in their devaluation of a delayed reward based on the time required to receive it, i.e., delay discounting (DD). Previous studies have shown...
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Published in: | Alcoholism, clinical and experimental research clinical and experimental research, 2022-04, Vol.46 (4), p.667-681 |
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creator | Fröhner, Juliane H. Ripke, Stephan Jurk, Sarah Li, Shu‐Chen Banaschewski, Tobias Bokde, Arun L.W. Quinlan, Erin Burke Desrivières, Sylvane Flor, Herta Grigis, Antoine Garavan, Hugh Heinz, Andreas Brühl, Rüdiger Martinot, Jean‐Luc Paillère Martinot, Marie‐Laure Artiges, Eric Nees, Frauke Papadopoulos Orfanos, Dimitri Poustka, Luise Hohmann, Sarah Walter, Henrik Whelan, Robert Schumann, Gunter Smolka, Michael N. |
description | Background
While drinking alcohol, one must choose between the immediate rewarding effects and the delayed reward of a healthier lifestyle. Individuals differ in their devaluation of a delayed reward based on the time required to receive it, i.e., delay discounting (DD). Previous studies have shown that adolescents discount more steeply than adults and that steeper DD is associated with heavier alcohol use in both groups.
Methods
In a large‐scale longitudinal study, we investigated whether higher rates of DD are an antecedent or a consequence of alcohol use during adolescent development. As part of the IMAGEN project, 2220 adolescents completed the Monetary Choice Questionnaire as a DD measure, the Alcohol Use Disorders Identification Test, and the Timeline Follow Back interview at ages 14, 16, 18, and 22. Bivariate latent growth curve models were applied to investigate the relationship between DD and drinking. To explore the consequences of drinking, we computed the cumulative alcohol consumption and correlated it with the development of discounting. A subsample of 221 participants completed an intertemporal choice task (iTeCh) during functional magnetic resonance imaging at ages 14, 16, and 18. Repeated‐measures ANOVA was used to differentiate between high‐risk and low‐risk drinkers on the development of neural processing during intertemporal choices.
Results
Overall, high rates of DD at age 14 predicted a greater increase in drinking over 8 years. In contrast, on average, moderate alcohol use did not affect DD from ages 14 to 22. Of note, we found indicators for less brain activity in top‐down control areas during intertemporal choices in the participants who drank more.
Conclusions
Steep DD was shown to be a predictor rather than a consequence of alcohol use in low‐level drinking adolescents. Important considerations for future longitudinal studies are the sampling strategies to be used and the reliability of the assessments.
In a longitudinal study, we investigated adolescents from age 14 to 22 to clarify whether drinking is a cause or a consequence of delay discounting (DD), both measured by questionnaires. A subsample completed a DD task during fMRI. Steeper DD at age 14 was associated with higher increase of drinking. Decision‐related signal in medial frontal gyrus (MFG) was higher in those who drank less initially, and insula signal was higher in those who showed less increase of drinking. |
doi_str_mv | 10.1111/acer.14799 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9018624</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2650475272</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5369-f32caab3e89f8bfdb3b2144ccb0ff4c71c05cd6065bd87008fe9b8b1228eaacc3</originalsourceid><addsrcrecordid>eNp9kctKAzEUhoMoWi8bH0ACrhRGc53JbIRSvEFREF2HJJPU1HaiyVTp25s6KurCbHL78uUcfgD2MTrBeZwqY-MJZlVdr4EB5hQViFTVOhggzHhRIiS2wHZKU4QQE2W5CbYoJ7yiAg_AzTClYLzqfGgTDA42dqaWsPHJhEXb-XYCVdvAJvr2abXpoppa04XobYIuhjlUk7zCDHYBErILNpyaJbv3Oe-Ah4vz-9FVMb69vB4Nx4XhtKwLR4lRSlMraie0azTVBDNmjEbOMVNhg7hpSlRy3YgqN-BsrYXGhAirlDF0B5z13ueFntvG2DYXNpPP0c9VXMqgvPx90_pHOQmvskZYlIRlwVEvePzz7Go4lqszxDgjNRWvOLOHn5_F8LKwqZPTsIht7k-SkiNWcVKRTB33lIkhpWjdtxYjucpJrnKSHzll-OBn_d_oVzAZwD3w5md2-Y9KDkfnd730HV8WniA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2650475272</pqid></control><display><type>article</type><title>Associations of delay discounting and drinking trajectories from ages 14 to 22</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Fröhner, Juliane H. ; Ripke, Stephan ; Jurk, Sarah ; Li, Shu‐Chen ; Banaschewski, Tobias ; Bokde, Arun L.W. ; Quinlan, Erin Burke ; Desrivières, Sylvane ; Flor, Herta ; Grigis, Antoine ; Garavan, Hugh ; Heinz, Andreas ; Brühl, Rüdiger ; Martinot, Jean‐Luc ; Paillère Martinot, Marie‐Laure ; Artiges, Eric ; Nees, Frauke ; Papadopoulos Orfanos, Dimitri ; Poustka, Luise ; Hohmann, Sarah ; Walter, Henrik ; Whelan, Robert ; Schumann, Gunter ; Smolka, Michael N.</creator><creatorcontrib>Fröhner, Juliane H. ; Ripke, Stephan ; Jurk, Sarah ; Li, Shu‐Chen ; Banaschewski, Tobias ; Bokde, Arun L.W. ; Quinlan, Erin Burke ; Desrivières, Sylvane ; Flor, Herta ; Grigis, Antoine ; Garavan, Hugh ; Heinz, Andreas ; Brühl, Rüdiger ; Martinot, Jean‐Luc ; Paillère Martinot, Marie‐Laure ; Artiges, Eric ; Nees, Frauke ; Papadopoulos Orfanos, Dimitri ; Poustka, Luise ; Hohmann, Sarah ; Walter, Henrik ; Whelan, Robert ; Schumann, Gunter ; Smolka, Michael N. ; IMAGEN Consortium ; the IMAGEN Consortium</creatorcontrib><description>Background
While drinking alcohol, one must choose between the immediate rewarding effects and the delayed reward of a healthier lifestyle. Individuals differ in their devaluation of a delayed reward based on the time required to receive it, i.e., delay discounting (DD). Previous studies have shown that adolescents discount more steeply than adults and that steeper DD is associated with heavier alcohol use in both groups.
Methods
In a large‐scale longitudinal study, we investigated whether higher rates of DD are an antecedent or a consequence of alcohol use during adolescent development. As part of the IMAGEN project, 2220 adolescents completed the Monetary Choice Questionnaire as a DD measure, the Alcohol Use Disorders Identification Test, and the Timeline Follow Back interview at ages 14, 16, 18, and 22. Bivariate latent growth curve models were applied to investigate the relationship between DD and drinking. To explore the consequences of drinking, we computed the cumulative alcohol consumption and correlated it with the development of discounting. A subsample of 221 participants completed an intertemporal choice task (iTeCh) during functional magnetic resonance imaging at ages 14, 16, and 18. Repeated‐measures ANOVA was used to differentiate between high‐risk and low‐risk drinkers on the development of neural processing during intertemporal choices.
Results
Overall, high rates of DD at age 14 predicted a greater increase in drinking over 8 years. In contrast, on average, moderate alcohol use did not affect DD from ages 14 to 22. Of note, we found indicators for less brain activity in top‐down control areas during intertemporal choices in the participants who drank more.
Conclusions
Steep DD was shown to be a predictor rather than a consequence of alcohol use in low‐level drinking adolescents. Important considerations for future longitudinal studies are the sampling strategies to be used and the reliability of the assessments.
In a longitudinal study, we investigated adolescents from age 14 to 22 to clarify whether drinking is a cause or a consequence of delay discounting (DD), both measured by questionnaires. A subsample completed a DD task during fMRI. Steeper DD at age 14 was associated with higher increase of drinking. Decision‐related signal in medial frontal gyrus (MFG) was higher in those who drank less initially, and insula signal was higher in those who showed less increase of drinking.</description><identifier>ISSN: 0145-6008</identifier><identifier>EISSN: 1530-0277</identifier><identifier>DOI: 10.1111/acer.14799</identifier><identifier>PMID: 35257381</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>adolescence ; Adolescent ; Adolescents ; Adult ; alcohol ; Alcohol use ; Alcoholism ; Brain mapping ; Child & adolescent psychiatry ; Delay Discounting ; Drinking behavior ; Functional magnetic resonance imaging ; Human health and pathology ; Humans ; Information processing ; latent growth curve modeling ; Life Sciences ; longitudinal fMRI ; Longitudinal Studies ; Neuroimaging ; Neurons and Cognition ; Psychiatrics and mental health ; Reinforcement ; Reproducibility of Results ; Reward ; Santé publique et épidémiologie ; Teenagers ; Young Adult</subject><ispartof>Alcoholism, clinical and experimental research, 2022-04, Vol.46 (4), p.667-681</ispartof><rights>2022 The Authors. published by Wiley Periodicals LLC on behalf of Research Society on Alcoholism.</rights><rights>2022 The Authors. Alcoholism: Clinical & Experimental Research published by Wiley Periodicals LLC on behalf of Research Society on Alcoholism.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5369-f32caab3e89f8bfdb3b2144ccb0ff4c71c05cd6065bd87008fe9b8b1228eaacc3</citedby><cites>FETCH-LOGICAL-c5369-f32caab3e89f8bfdb3b2144ccb0ff4c71c05cd6065bd87008fe9b8b1228eaacc3</cites><orcidid>0000-0001-5398-5569</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35257381$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04542938$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Fröhner, Juliane H.</creatorcontrib><creatorcontrib>Ripke, Stephan</creatorcontrib><creatorcontrib>Jurk, Sarah</creatorcontrib><creatorcontrib>Li, Shu‐Chen</creatorcontrib><creatorcontrib>Banaschewski, Tobias</creatorcontrib><creatorcontrib>Bokde, Arun L.W.</creatorcontrib><creatorcontrib>Quinlan, Erin Burke</creatorcontrib><creatorcontrib>Desrivières, Sylvane</creatorcontrib><creatorcontrib>Flor, Herta</creatorcontrib><creatorcontrib>Grigis, Antoine</creatorcontrib><creatorcontrib>Garavan, Hugh</creatorcontrib><creatorcontrib>Heinz, Andreas</creatorcontrib><creatorcontrib>Brühl, Rüdiger</creatorcontrib><creatorcontrib>Martinot, Jean‐Luc</creatorcontrib><creatorcontrib>Paillère Martinot, Marie‐Laure</creatorcontrib><creatorcontrib>Artiges, Eric</creatorcontrib><creatorcontrib>Nees, Frauke</creatorcontrib><creatorcontrib>Papadopoulos Orfanos, Dimitri</creatorcontrib><creatorcontrib>Poustka, Luise</creatorcontrib><creatorcontrib>Hohmann, Sarah</creatorcontrib><creatorcontrib>Walter, Henrik</creatorcontrib><creatorcontrib>Whelan, Robert</creatorcontrib><creatorcontrib>Schumann, Gunter</creatorcontrib><creatorcontrib>Smolka, Michael N.</creatorcontrib><creatorcontrib>IMAGEN Consortium</creatorcontrib><creatorcontrib>the IMAGEN Consortium</creatorcontrib><title>Associations of delay discounting and drinking trajectories from ages 14 to 22</title><title>Alcoholism, clinical and experimental research</title><addtitle>Alcohol Clin Exp Res</addtitle><description>Background
While drinking alcohol, one must choose between the immediate rewarding effects and the delayed reward of a healthier lifestyle. Individuals differ in their devaluation of a delayed reward based on the time required to receive it, i.e., delay discounting (DD). Previous studies have shown that adolescents discount more steeply than adults and that steeper DD is associated with heavier alcohol use in both groups.
Methods
In a large‐scale longitudinal study, we investigated whether higher rates of DD are an antecedent or a consequence of alcohol use during adolescent development. As part of the IMAGEN project, 2220 adolescents completed the Monetary Choice Questionnaire as a DD measure, the Alcohol Use Disorders Identification Test, and the Timeline Follow Back interview at ages 14, 16, 18, and 22. Bivariate latent growth curve models were applied to investigate the relationship between DD and drinking. To explore the consequences of drinking, we computed the cumulative alcohol consumption and correlated it with the development of discounting. A subsample of 221 participants completed an intertemporal choice task (iTeCh) during functional magnetic resonance imaging at ages 14, 16, and 18. Repeated‐measures ANOVA was used to differentiate between high‐risk and low‐risk drinkers on the development of neural processing during intertemporal choices.
Results
Overall, high rates of DD at age 14 predicted a greater increase in drinking over 8 years. In contrast, on average, moderate alcohol use did not affect DD from ages 14 to 22. Of note, we found indicators for less brain activity in top‐down control areas during intertemporal choices in the participants who drank more.
Conclusions
Steep DD was shown to be a predictor rather than a consequence of alcohol use in low‐level drinking adolescents. Important considerations for future longitudinal studies are the sampling strategies to be used and the reliability of the assessments.
In a longitudinal study, we investigated adolescents from age 14 to 22 to clarify whether drinking is a cause or a consequence of delay discounting (DD), both measured by questionnaires. A subsample completed a DD task during fMRI. Steeper DD at age 14 was associated with higher increase of drinking. Decision‐related signal in medial frontal gyrus (MFG) was higher in those who drank less initially, and insula signal was higher in those who showed less increase of drinking.</description><subject>adolescence</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult</subject><subject>alcohol</subject><subject>Alcohol use</subject><subject>Alcoholism</subject><subject>Brain mapping</subject><subject>Child & adolescent psychiatry</subject><subject>Delay Discounting</subject><subject>Drinking behavior</subject><subject>Functional magnetic resonance imaging</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Information processing</subject><subject>latent growth curve modeling</subject><subject>Life Sciences</subject><subject>longitudinal fMRI</subject><subject>Longitudinal Studies</subject><subject>Neuroimaging</subject><subject>Neurons and Cognition</subject><subject>Psychiatrics and mental health</subject><subject>Reinforcement</subject><subject>Reproducibility of Results</subject><subject>Reward</subject><subject>Santé publique et épidémiologie</subject><subject>Teenagers</subject><subject>Young Adult</subject><issn>0145-6008</issn><issn>1530-0277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kctKAzEUhoMoWi8bH0ACrhRGc53JbIRSvEFREF2HJJPU1HaiyVTp25s6KurCbHL78uUcfgD2MTrBeZwqY-MJZlVdr4EB5hQViFTVOhggzHhRIiS2wHZKU4QQE2W5CbYoJ7yiAg_AzTClYLzqfGgTDA42dqaWsPHJhEXb-XYCVdvAJvr2abXpoppa04XobYIuhjlUk7zCDHYBErILNpyaJbv3Oe-Ah4vz-9FVMb69vB4Nx4XhtKwLR4lRSlMraie0azTVBDNmjEbOMVNhg7hpSlRy3YgqN-BsrYXGhAirlDF0B5z13ueFntvG2DYXNpPP0c9VXMqgvPx90_pHOQmvskZYlIRlwVEvePzz7Go4lqszxDgjNRWvOLOHn5_F8LKwqZPTsIht7k-SkiNWcVKRTB33lIkhpWjdtxYjucpJrnKSHzll-OBn_d_oVzAZwD3w5md2-Y9KDkfnd730HV8WniA</recordid><startdate>202204</startdate><enddate>202204</enddate><creator>Fröhner, Juliane H.</creator><creator>Ripke, Stephan</creator><creator>Jurk, Sarah</creator><creator>Li, Shu‐Chen</creator><creator>Banaschewski, Tobias</creator><creator>Bokde, Arun L.W.</creator><creator>Quinlan, Erin Burke</creator><creator>Desrivières, Sylvane</creator><creator>Flor, Herta</creator><creator>Grigis, Antoine</creator><creator>Garavan, Hugh</creator><creator>Heinz, Andreas</creator><creator>Brühl, Rüdiger</creator><creator>Martinot, Jean‐Luc</creator><creator>Paillère Martinot, Marie‐Laure</creator><creator>Artiges, Eric</creator><creator>Nees, Frauke</creator><creator>Papadopoulos Orfanos, Dimitri</creator><creator>Poustka, Luise</creator><creator>Hohmann, Sarah</creator><creator>Walter, Henrik</creator><creator>Whelan, Robert</creator><creator>Schumann, Gunter</creator><creator>Smolka, Michael N.</creator><general>Wiley Subscription Services, Inc</general><general>Wiley</general><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>K7.</scope><scope>K9.</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5398-5569</orcidid></search><sort><creationdate>202204</creationdate><title>Associations of delay discounting and drinking trajectories from ages 14 to 22</title><author>Fröhner, Juliane H. ; Ripke, Stephan ; Jurk, Sarah ; Li, Shu‐Chen ; Banaschewski, Tobias ; Bokde, Arun L.W. ; Quinlan, Erin Burke ; Desrivières, Sylvane ; Flor, Herta ; Grigis, Antoine ; Garavan, Hugh ; Heinz, Andreas ; Brühl, Rüdiger ; Martinot, Jean‐Luc ; Paillère Martinot, Marie‐Laure ; Artiges, Eric ; Nees, Frauke ; Papadopoulos Orfanos, Dimitri ; Poustka, Luise ; Hohmann, Sarah ; Walter, Henrik ; Whelan, Robert ; Schumann, Gunter ; Smolka, Michael N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5369-f32caab3e89f8bfdb3b2144ccb0ff4c71c05cd6065bd87008fe9b8b1228eaacc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>adolescence</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adult</topic><topic>alcohol</topic><topic>Alcohol use</topic><topic>Alcoholism</topic><topic>Brain mapping</topic><topic>Child & adolescent psychiatry</topic><topic>Delay Discounting</topic><topic>Drinking behavior</topic><topic>Functional magnetic resonance imaging</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Information processing</topic><topic>latent growth curve modeling</topic><topic>Life Sciences</topic><topic>longitudinal fMRI</topic><topic>Longitudinal Studies</topic><topic>Neuroimaging</topic><topic>Neurons and Cognition</topic><topic>Psychiatrics and mental health</topic><topic>Reinforcement</topic><topic>Reproducibility of Results</topic><topic>Reward</topic><topic>Santé publique et épidémiologie</topic><topic>Teenagers</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fröhner, Juliane H.</creatorcontrib><creatorcontrib>Ripke, Stephan</creatorcontrib><creatorcontrib>Jurk, Sarah</creatorcontrib><creatorcontrib>Li, Shu‐Chen</creatorcontrib><creatorcontrib>Banaschewski, Tobias</creatorcontrib><creatorcontrib>Bokde, Arun L.W.</creatorcontrib><creatorcontrib>Quinlan, Erin Burke</creatorcontrib><creatorcontrib>Desrivières, Sylvane</creatorcontrib><creatorcontrib>Flor, Herta</creatorcontrib><creatorcontrib>Grigis, Antoine</creatorcontrib><creatorcontrib>Garavan, Hugh</creatorcontrib><creatorcontrib>Heinz, Andreas</creatorcontrib><creatorcontrib>Brühl, Rüdiger</creatorcontrib><creatorcontrib>Martinot, Jean‐Luc</creatorcontrib><creatorcontrib>Paillère Martinot, Marie‐Laure</creatorcontrib><creatorcontrib>Artiges, Eric</creatorcontrib><creatorcontrib>Nees, Frauke</creatorcontrib><creatorcontrib>Papadopoulos Orfanos, Dimitri</creatorcontrib><creatorcontrib>Poustka, Luise</creatorcontrib><creatorcontrib>Hohmann, Sarah</creatorcontrib><creatorcontrib>Walter, Henrik</creatorcontrib><creatorcontrib>Whelan, Robert</creatorcontrib><creatorcontrib>Schumann, Gunter</creatorcontrib><creatorcontrib>Smolka, Michael N.</creatorcontrib><creatorcontrib>IMAGEN Consortium</creatorcontrib><creatorcontrib>the IMAGEN Consortium</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Alcoholism, clinical and experimental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fröhner, Juliane H.</au><au>Ripke, Stephan</au><au>Jurk, Sarah</au><au>Li, Shu‐Chen</au><au>Banaschewski, Tobias</au><au>Bokde, Arun L.W.</au><au>Quinlan, Erin Burke</au><au>Desrivières, Sylvane</au><au>Flor, Herta</au><au>Grigis, Antoine</au><au>Garavan, Hugh</au><au>Heinz, Andreas</au><au>Brühl, Rüdiger</au><au>Martinot, Jean‐Luc</au><au>Paillère Martinot, Marie‐Laure</au><au>Artiges, Eric</au><au>Nees, Frauke</au><au>Papadopoulos Orfanos, Dimitri</au><au>Poustka, Luise</au><au>Hohmann, Sarah</au><au>Walter, Henrik</au><au>Whelan, Robert</au><au>Schumann, Gunter</au><au>Smolka, Michael N.</au><aucorp>IMAGEN Consortium</aucorp><aucorp>the IMAGEN Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations of delay discounting and drinking trajectories from ages 14 to 22</atitle><jtitle>Alcoholism, clinical and experimental research</jtitle><addtitle>Alcohol Clin Exp Res</addtitle><date>2022-04</date><risdate>2022</risdate><volume>46</volume><issue>4</issue><spage>667</spage><epage>681</epage><pages>667-681</pages><issn>0145-6008</issn><eissn>1530-0277</eissn><abstract>Background
While drinking alcohol, one must choose between the immediate rewarding effects and the delayed reward of a healthier lifestyle. Individuals differ in their devaluation of a delayed reward based on the time required to receive it, i.e., delay discounting (DD). Previous studies have shown that adolescents discount more steeply than adults and that steeper DD is associated with heavier alcohol use in both groups.
Methods
In a large‐scale longitudinal study, we investigated whether higher rates of DD are an antecedent or a consequence of alcohol use during adolescent development. As part of the IMAGEN project, 2220 adolescents completed the Monetary Choice Questionnaire as a DD measure, the Alcohol Use Disorders Identification Test, and the Timeline Follow Back interview at ages 14, 16, 18, and 22. Bivariate latent growth curve models were applied to investigate the relationship between DD and drinking. To explore the consequences of drinking, we computed the cumulative alcohol consumption and correlated it with the development of discounting. A subsample of 221 participants completed an intertemporal choice task (iTeCh) during functional magnetic resonance imaging at ages 14, 16, and 18. Repeated‐measures ANOVA was used to differentiate between high‐risk and low‐risk drinkers on the development of neural processing during intertemporal choices.
Results
Overall, high rates of DD at age 14 predicted a greater increase in drinking over 8 years. In contrast, on average, moderate alcohol use did not affect DD from ages 14 to 22. Of note, we found indicators for less brain activity in top‐down control areas during intertemporal choices in the participants who drank more.
Conclusions
Steep DD was shown to be a predictor rather than a consequence of alcohol use in low‐level drinking adolescents. Important considerations for future longitudinal studies are the sampling strategies to be used and the reliability of the assessments.
In a longitudinal study, we investigated adolescents from age 14 to 22 to clarify whether drinking is a cause or a consequence of delay discounting (DD), both measured by questionnaires. A subsample completed a DD task during fMRI. Steeper DD at age 14 was associated with higher increase of drinking. Decision‐related signal in medial frontal gyrus (MFG) was higher in those who drank less initially, and insula signal was higher in those who showed less increase of drinking.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>35257381</pmid><doi>10.1111/acer.14799</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-5398-5569</orcidid><oa>free_for_read</oa></addata></record> |
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ispartof | Alcoholism, clinical and experimental research, 2022-04, Vol.46 (4), p.667-681 |
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source | Wiley-Blackwell Read & Publish Collection |
subjects | adolescence Adolescent Adolescents Adult alcohol Alcohol use Alcoholism Brain mapping Child & adolescent psychiatry Delay Discounting Drinking behavior Functional magnetic resonance imaging Human health and pathology Humans Information processing latent growth curve modeling Life Sciences longitudinal fMRI Longitudinal Studies Neuroimaging Neurons and Cognition Psychiatrics and mental health Reinforcement Reproducibility of Results Reward Santé publique et épidémiologie Teenagers Young Adult |
title | Associations of delay discounting and drinking trajectories from ages 14 to 22 |
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