4.2 Article

Associations of delay discounting and drinking trajectories from ages 14 to 22

Journal

ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH
Volume 46, Issue 4, Pages 667-681

Publisher

WILEY
DOI: 10.1111/acer.14799

Keywords

adolescence; alcohol; delay discounting; latent growth curve modeling; longitudinal fMRI

Funding

  1. National Institute for Health Research (NIHR) Policy Research Programme [PR-ST-0416-10001]
  2. Maudsley NHS Foundation Trust
  3. Mission Interministerielle de Lutte Contre les Drogues et les Conduites Addictives
  4. Sixth Framework Programme [LSHM-CT-2007-037286]
  5. Assistance-Publique-Hopitaux-de-Paris
  6. Fondation de l'Avenir pour la Recherche Medicale Appliquee [AP-RM-17--013]
  7. Agence Nationale de la Recherche [AAPG2019, ANR-12-SAMA-0004]
  8. Federation pour la Recherche sur le Cerveau
  9. Deutsche Forschungsgemeinschaft [178833530, SFB 940, 186318919, FOR 1617, 402170461, TRR 265, NE 1383/14-1]
  10. National Institutes of Health [16/ERCD/3797, 1R56AG058854-01, 5U54EB020403-05, RO1 MH085772-01A1, U54 EB020403]
  11. Fondation pour la Recherche Medicale [DPA20140629802]
  12. Institut National de la Sante et de la Recherche Medicale
  13. Horizon 2020 Framework Programme [695313 STRATIFY]
  14. ERA-NET Neuron [AF12-NEUR0008-01 -WM2NA, ANR-18-NEUR00002-01]
  15. Seventh Framework Programme [3 -945539]
  16. National Institute of Health (NIH) [R01DA049238]
  17. Fondation de France [00081242]
  18. Medical Research Council [MR/N000390/1, MR/R00465X/1, MR/S020306/1]
  19. Paris Sud University
  20. Bundesministerium fur Bildung und Forschung [01EE1406A, 01EE1406B, 01EV0711, 01GL1745B, 01GS08152]
  21. National Institutes of Health Research (NIHR) [PR-ST-0416-10001] Funding Source: National Institutes of Health Research (NIHR)
  22. Agence Nationale de la Recherche (ANR) [ANR-12-SAMA-0004] Funding Source: Agence Nationale de la Recherche (ANR)

Ask authors/readers for more resources

This study found that higher rates of delay discounting (DD) in adolescence predict increased drinking over an 8-year period. However, moderate alcohol use does not significantly affect the development of DD. Additionally, individuals who drink more exhibit less brain activity during intertemporal choices.
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.

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