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A comprehensive evaluation of the neurocognitive predictors of problematic alcohol use, eating, pornography, and internet use: A 6-month longitudinal study.
Christensen, Erynn; Albertella, Lucy; Chamberlain, Samuel R; Suo, Chao; Brydevall, Maja; Grant, Jon E; Yücel, Murat; Lee, Rico Sze Chun.
Afiliación
  • Christensen E; 1BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.
  • Albertella L; 1BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.
  • Chamberlain SR; 2 Department of Psychiatry, University of Southampton, Southampton, United Kingdom.
  • Suo C; 3Southern Health NHS Foundation Trust, Southampton, UK.
  • Brydevall M; 1BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.
  • Grant JE; 1BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.
  • Yücel M; 5Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Pritzker School of Medicine, Chicago, IL, USA.
  • Lee RSC; 1BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.
J Behav Addict ; 2024 Aug 14.
Article en En | MEDLINE | ID: mdl-39141435
ABSTRACT
Background and

aims:

Cognitive control and reward-related abnormalities are centrally implicated in addiction. However, findings from longitudinal studies addressing neurocognitive predictors of addictive behaviors are mixed. Further, little work has been conducted predicting non-substance-related addictive behaviors. Our study aimed to assess predictors of substance and non-substance addictive behaviors in a community sample, systematically evaluating each neurocognitive function's independent influence on addictive behavior.

Methods:

Australians (N = 294; 51.7% female; M[SD] age = 24.8[4.7] years) completed online neurocognitive tasks and surveys at baseline and 3-month follow-up. Self-report scales assessed problematic alcohol use, addictive eating (AE), problematic pornography use (PPU), and problematic internet use (PUI) at 3- and 6-month follow-ups. Linear regressions with bootstrapping assessed neurocognitive predictors for each addictive behavior across a 6-month period.

Results:

Neurocognition at baseline did not predict AE or PUI severity at 6-month follow-up. Less delay discounting at baseline predicted higher PPU at 6-month follow-up (ß = -0.16, p = 0.005). Poorer performance monitoring at baseline predicted higher AE at 3-month follow-up (ß = -0.16, p = 0.004), and more reward-related attentional capture at 3-months predicted higher AE at 6-month follow-up (ß = 0.14, p = 0.033). Less reward-related attentional capture (ß = -0.14, p = 0.003) and less risk-taking under ambiguity (ß = -0.11, p = 0.029) at baseline predicted higher PUI at 3-month follow-up. All findings were of small effect size. None of the neurocognitive variables predicted problematic alcohol use. Discussion and

conclusions:

We were unable to identify a core set of specific neurocognitive functions that reliably predict multiple addictive behavior types. However, our findings indicate both cognitive control and reward-related functions predict non-substance addictive behaviors in different ways. Findings suggest that there may be partially distinct neurocognitive mechanisms contributing to addiction depending on the specific addictive behavior.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Behav Addict Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Hungria
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Behav Addict Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Hungria