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      Delay Discounting in Established and Proposed Behavioral Addictions: A Systematic Review and Meta-Analysis

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          Abstract

          Steep delay discounting, or a greater preference for smaller-immediate rewards over larger-delayed rewards, is a common phenomenon across a range of substance use and psychiatric disorders. Non-substance behavioral addictions (e.g., gambling disorder, internet gaming disorder, food addiction) are of increasing interest in delay discounting research. Individual studies have reported steeper discounting in people exhibiting various behavioral addictions compared to controls or significant correlations between discounting and behavioral addiction scales; however, not all studies have found significant effects. To synthesize the published research in this area and identify priorities for future research, we conducted a pre-registered systematic review and meta-analysis (following PRISMA guidelines) of delay discounting studies across a range of behavioral addiction categories. The final sample included 78 studies, yielding 87 effect sizes for the meta-analysis. For studies with categorical designs, we found statistically significant, medium-to-large effect sizes for gambling disorder (Cohen’s d = 0.82) and IGD ( d = 0.89), although the IGD effect size was disproportionately influenced by a single study (adjusted d = 0.53 after removal). Categorical internet/smartphone studies were non-significant ( d = 0.16, p = 0.06). Aggregate correlations in dimensional studies were statistically significant, but generally small magnitude for gambling ( r = 0.22), internet/smartphone ( r = 0.13) and food addiction ( r = 0.12). Heterogeneity statistics suggested substantial variability across studies, and publication bias indices indicated moderate impact of unpublished or small sample studies. These findings generally suggest that some behavioral addictions are associated with steeper discounting, with the most robust evidence for gambling disorder. Importantly, this review also highlighted several categories with notably smaller effect sizes or categories with too few studies to be included (e.g., compulsive buying, exercise addiction). Further research on delay discounting in behavioral addictions is warranted, particularly for categories with relatively few studies.

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            Bias in meta-analysis detected by a simple, graphical test

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              Operating Characteristics of a Rank Correlation Test for Publication Bias

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                Author and article information

                Contributors
                Journal
                Front Behav Neurosci
                Front Behav Neurosci
                Front. Behav. Neurosci.
                Frontiers in Behavioral Neuroscience
                Frontiers Media S.A.
                1662-5153
                26 November 2021
                2021
                : 15
                : 786358
                Affiliations
                [1] 1Cofrin Logan Center for Addiction Research and Treatment, University of Kansas , Lawrence, KS, United States
                [2] 2Peter Boris Centre for Addictions Research, McMaster University , Hamilton, ON, United States
                [3] 3Department of Population Health, University of Kansas Medical Center , Kansas City, KS, United States
                [4] 4Hoglund Biomedical Imaging Center, University of Kansas Medical Center , Kansas City, KS, United States
                [5] 5Department of Applied Behavioral Science, University of Kansas , Lawrence, KS, United States
                Author notes

                Edited by: Gregory J. Madden, Utah State University, United States

                Reviewed by: Todd McKerchar, Jacksonville State University, United States; Jeffrey Stein, Fralin Biomedical Research Institute, Virginia Tech Carilion, United States

                *Correspondence: Michael Amlung, mamlung@ 123456ku.edu

                This article was submitted to Motivation and Reward, a section of the journal Frontiers in Behavioral Neuroscience

                Article
                10.3389/fnbeh.2021.786358
                8661136
                34899207
                b24acf5e-4afb-4e73-98b2-f8c05a8ac60c
                Copyright © 2021 Weinsztok, Brassard, Balodis, Martin and Amlung.

                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) and the copyright owner(s) 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.

                History
                : 30 September 2021
                : 03 November 2021
                Page count
                Figures: 3, Tables: 2, Equations: 0, References: 121, Pages: 13, Words: 11094
                Funding
                Funded by: National Institutes of Health, doi 10.13039/100000002;
                Categories
                Behavioral Neuroscience
                Systematic Review

                Neurosciences
                delay discounting,behavioral addiction,systematic review,meta-analysis,behavioral economics

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