» Articles » PMID: 33790811

Executive Functions in Tobacco Use Disorder: New Challenges and Opportunities

Overview
Specialty Psychiatry
Date 2021 Apr 1
PMID 33790811
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

There is increasing evidence that executive functions have significative effects on nicotine abuse. An unresolved challenge for smoking cessation interventions is the detection of factors associated with nicotine use. In order to understand how cognition is affected by nicotine abuse, this study was designed to determine the relationship between years of smoking addiction and several variables of executive functions. The sample was composed of 174 smokers, whose age ranged between 27 and 69 years old (M = 47.44; SD = 8.48). Smokers were assessed at baseline with measures of cognitive inhibition [Go/No Go Task and Five Digit Test (FDT)], updating [Visual Search and Attention Test (VSAT) and Letter-Number Sequencing (WAIS IV)] and shifting [Delay Discounting Task (DDT) and Iowa Gambling Task (IGT)] while the outcome measure was years of smoking. The linear regression and correlation analysis highlighting that the variable which has the strongest association with years of smoking is updating. Multivariate analysis of variance (MANCOVA) followed by Tukey tests revealed significant differences such that heavy smoking indicated worse performance than light smoking on updating tasks. These findings report the ability of working memory to predict years of smoking and suggest that cigarette packaging warning may experience a loss of effectiveness in heavy smokers.

Citing Articles

The role of executive functioning in smoking cessation: A scoping review.

Viola N, Lundine J, Kirihara S, Nemeth J Drug Alcohol Rev. 2024; 44(2):626-639.

PMID: 39689911 PMC: 11814367. DOI: 10.1111/dar.13991.


Changes in distinct brain systems identified with fMRI during smoking cessation treatment with varenicline: a review.

Panagopoulos V, Bailey A, Kostopoulos G, Ioannides A Psychopharmacology (Berl). 2024; 241(4):653-685.

PMID: 38430396 PMC: 10927841. DOI: 10.1007/s00213-024-06556-2.


Menthol Flavor in E-Cigarette Vapor Modulates Social Behavior Correlated With Central and Peripheral Changes of Immunometabolic Signalings.

Xu Z, Tian Y, Li A, Tang J, Jing X, Deng C Front Mol Neurosci. 2022; 15:800406.

PMID: 35359576 PMC: 8960730. DOI: 10.3389/fnmol.2022.800406.


Development of a neuropsychological assessment in smoking.

Martin-Rios R, Lopez-Torrecillas F, Martin-Tamayo I, Lozano-Fernandez L Rev Neurol. 2022; 74(5):149-155.

PMID: 35211948 PMC: 11502213. DOI: 10.33588/rn.7405.2021306.

References
1.
Lyvers M, Carlopio C, Bothma V, Edwards M . Mood, mood regulation expectancies and frontal systems functioning in current smokers versus never-smokers in China and Australia. Addict Behav. 2013; 38(11):2741-50. DOI: 10.1016/j.addbeh.2013.07.002. View

2.
Zhou Z, Chen P, Peng H . Are healthy smokers really healthy?. Tob Induc Dis. 2016; 14:35. PMC: 5111288. DOI: 10.1186/s12971-016-0101-z. View

3.
Kirby K, Petry N, Bickel W . Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. J Exp Psychol Gen. 1999; 128(1):78-87. DOI: 10.1037//0096-3445.128.1.78. View

4.
Cui Y, Robinson J, Versace F, Lam C, Minnix J, Karam-Hage M . Differential cigarette-related startle cue reactivity among light, moderate, and heavy smokers. Addict Behav. 2012; 37(8):885-9. PMC: 3358408. DOI: 10.1016/j.addbeh.2012.02.003. View

5.
Vickers D, Vincent N, Medvedev A . The geometric structure, construction, and interpretation of path-following (trail-making) tests. J Clin Psychol. 1996; 52(6):651-61. DOI: 10.1002/(SICI)1097-4679(199611)52:6<651::AID-JCLP7>3.0.CO;2-N. View