A comprehensive evaluation of the neurocognitive predictors of problematic alcohol use, eating, pornography, and internet use: A 6-month longitudinal study.
J Behav Addict
; 13(3): 823-840, 2024 Oct 04.
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 andconclusions:
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.Palabras clave
Texto completo:
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Base de datos:
MEDLINE
Asunto principal:
Literatura Erótica
País/Región como asunto:
Oceania
Idioma:
En
Revista:
J Behav Addict
Año:
2024
Tipo del documento:
Article