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A cikk állandó MOB linkje:
http://mob.gyemszi.hu/detailsperm.jsp?PERMID=164721
MOB:2024/3
Szerzők:Christensen, Erynn; Albertella, Lucy; Chamberlain, Samuel R.; Suo, Chao; Brydevall, Maja; Grant, Jon E.; Yücel, Murat; Chun Lee, Rico Sze
Tárgyszavak:COMPULSIV MAGATARTÁS; SZEXUALITÁS; SZENVEDÉLYBETEGSÉGEK; INTERNET; TÁPLÁLKOZÁSI ZAVAROK; ALKOHOLIZMUS; COGNITIO
Folyóirat:Journal of Behavioral Addictions - 2024. 13. évf. 3. sz.
[https://akjournals.com/view/journals/2006/2006-overview.xml]


  A comprehensive evaluation of the neurocognitive predictors of problematic alcohol use, eating, pornography, and internet use: A 6-month longitudinal study / Erynn Christensen [et al.]
  Bibliogr.: p. 836-840. - Abstr. eng. - DOI: https://doi.org/10.1556/2006.2024.00041
  In: Journal of Behavioral Addictions. - ISSN 2062-5871, eISSN 2063-5303. - 2024. 13. évf. 3. sz., p. 823-840. : ill.


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 5 294; 51.7% female; M[SD] age 5 24.8 [4.7] years) completed online neurocognitive tasks and surveys at baseline and 3-month follow-up. Selfreport 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 (? - -0.16, p - 0.005). Poorer performance monitoring at baseline predicted higher AE at 3-month follow-up (? - -0.16, p - 0.004), and more reward-related attentional capture at 3-months predicted higher AE at 6-month follow-up (?- -0.14, p - 0.033). Less reward-related attentional capture (? - -0.14, p - 0.003) and less risktaking under ambiguity (? - -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.  Kulcsszavak: internet, pornography, eating, neurocognition, addiction, longitudinal