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      The symptom discounting effect: what to do when negative genetic test results become risk factors for alcohol use disorder

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      Scientific Reports
      Nature Publishing Group UK
      Psychology, Health care

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          Abstract

          Most consumers of genetic testing for health conditions test negative, yet the psychological perils of this are hardly known. In three experiments (N = 2103) participants discounted repercussions of alcohol use disorder (AUD), after learning or imagining that they were not genetically predisposed to AUD. Such discounting can lead people to avoid treatment and to feel safe to continue or even increase their drinking, ironically turning the negative genetic feedback into a risk factor for AUD. Concerningly, the debriefing currently used by a direct-to-consumer genetic testing company failed to counteract this discounting among those already engaging in problematic drinking in all three studies. It was hypothesized that this discounting derives from not understanding the Causal Markov condition; once AUD symptoms are present, their ramifications remain the same regardless of whether genes or environmental factors caused the symptoms. Educating participants about this principle successfully mitigated the irrational discounting of threats of AUD.

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          Most cited references34

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          Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II

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            Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts

            Alcohol use disorders are common conditions that have enormous social and economic consequences. Genome-wide association analyses were performed to identify genetic variants associated with a proxy measure of alcohol consumption and alcohol misuse and to explore the shared genetic basis between these measures and other substance use, psychiatric, and behavioral traits.
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              How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis

              This study aimed to quantify correlations between theory of planned behaviour (TPB) variables and (i) intentions to consume alcohol and (ii) alcohol consumption. Systematic literature searches identified 40 eligible studies that were meta-analysed. Three moderator analyses were conducted: pattern of consumption, gender of participants and age of participants. Across studies, intentions had the strongest relationship with attitudes (r + = .62), followed by subjective norms (r + = .47) and perceived behavioural control (PBC; r + = .31). Self-efficacy (SE) had a stronger relationship with intentions (r + = .48) compared with perceived control (PC; r + = −.10). Intention had the strongest relationship with alcohol consumption (r + = .54), followed by SE (r + = .41). In contrast, PBC and PC had negative relationships with alcohol consumption (r + = −.05 and −.13, respectively). All moderators affected TPB relationships. Patterns of consumption with clear definitions had stronger TPB relations, females reported stronger attitude–intention relations than males, and adults reported stronger attitude–intention and SE–intention relations than adolescents. Recommendations for future research include targeting attitudes and intentions in interventions to reduce alcohol consumption, using clear definitions of alcohol consumption in TPB items to improve prediction and assessing SE when investigating risk behaviours.
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                Author and article information

                Contributors
                woo-kyoung.ahn@yale.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                4 March 2022
                4 March 2022
                2022
                : 12
                : 3579
                Affiliations
                GRID grid.47100.32, ISNI 0000000419368710, Department of Psychology, , Yale University, ; 2 Hillhouse Ave., New Haven, CT 06511 USA
                Article
                7452
                10.1038/s41598-022-07452-5
                8897420
                35246586
                3d0a4fac-46d9-4ac2-ad4f-c24fa9ff5ef2
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 December 2021
                : 17 February 2022
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                © The Author(s) 2022

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                psychology,health care
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                psychology, health care

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