Literature DB >> 31657594

The impact of nicotine dose and instructed dose on smokers' implicit attitudes to smoking cues: An ERP study.

Yong Cui1, Jeffrey M Engelmann1, David G Gilbert2, Andrew J Waters3, Paul M Cinciripini1, Jason D Robinson1.   

Abstract

It is unclear whether nicotine and perceived nicotine exposure can influence automatic evaluations of cigarette stimuli. In the present study, we investigated the effects of nicotine dose and instructed dose on motivational responses to smoking cues. Forty overnight nicotine-deprived smokers completed an Implicit Association Test (IAT) at each of the four laboratory sessions in a balanced-placebo design that crossed nicotine dose (Given-NIC [given nicotine] vs. Given-DENIC [given denicotinized]) with instructed dose expectancy (Told-NIC [told-nicotine] vs. Told-DENIC. [told-denicotinized]). We measured participants' behavioral performance, including reaction time (RT) and accuracy rate, and the early posterior negativity (EPN) component using the event-related potential (ERP) technique to the target pictures. During congruent trials when the categorization condition was smoking or unpleasant, smokers had greater classification accuracy, shorter RT latency, and greater EPN amplitudes compared to the incongruent trials when the categorization condition was smoking or pleasant. The Given-NIC condition was associated with increased classification accuracy, longer RT latency, and decreased EPN amplitudes compared to the Given-DENIC condition. Similarly, the Told-NIC condition was associated with increased accuracy and decreased EPN amplitudes compared to the Told-DENIC condition, but with shorter RT latency. Cigarette-related pictures produced greater EPN amplitudes than neutral pictures. Both behavioral and ERP results suggest that smokers have negative implicit attitudes toward smoking. While both nicotine dose and expected dose facilitated stimulus categorization, there was no evidence that either factor altered smokers' negative attitudes toward smoking cues. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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Year:  2019        PMID: 31657594      PMCID: PMC6888848          DOI: 10.1037/adb0000523

Source DB:  PubMed          Journal:  Psychol Addict Behav        ISSN: 0893-164X


  82 in total

1.  Evaluation of the brief questionnaire of smoking urges (QSU-brief) in laboratory and clinical settings.

Authors:  L S Cox; S T Tiffany; A G Christen
Journal:  Nicotine Tob Res       Date:  2001-02       Impact factor: 4.244

2.  Determinants and effects of attentional bias in smokers.

Authors:  A J Waters; C Feyerabend
Journal:  Psychol Addict Behav       Date:  2000-06

3.  A multi-dimensional analysis of cue-elicited craving in heavy smokers and tobacco chippers.

Authors:  M A Sayette; C S Martin; J M Wertz; S Shiffman; M A Perrott
Journal:  Addiction       Date:  2001-10       Impact factor: 6.526

4.  Randomization tests for ERP topographies and whole spatiotemporal data matrices.

Authors:  Eric Maris
Journal:  Psychophysiology       Date:  2004-01       Impact factor: 4.016

5.  The facilitated processing of threatening faces: an ERP analysis.

Authors:  Harald T Schupp; Arne Ohman; Markus Junghöfer; Almut I Weike; Jessica Stockburger; Alfons O Hamm
Journal:  Emotion       Date:  2004-06

6.  Determinants of tobacco use and renaming the FTND to the Fagerstrom Test for Cigarette Dependence.

Authors:  Karl Fagerström
Journal:  Nicotine Tob Res       Date:  2011-10-24       Impact factor: 4.244

7.  Confirmatory factor analyses and reliability of the modified cigarette evaluation questionnaire.

Authors:  Joseph C Cappelleri; Andrew G Bushmakin; Christine L Baker; Elizabeth Merikle; Abayomi O Olufade; David G Gilbert
Journal:  Addict Behav       Date:  2006-07-27       Impact factor: 3.913

8.  Anticipation of smoking sufficiently dampens stress reactivity in nicotine-deprived smokers.

Authors:  Daniel E Bradford; John J Curtin; Megan E Piper
Journal:  J Abnorm Psychol       Date:  2015-02

9.  Implicit attitudes towards smoking predict long-term relapse in abstinent smokers.

Authors:  Adriaan Spruyt; Valentine Lemaigre; Bihiyga Salhi; Dinska Van Gucht; Helen Tibboel; Bram Van Bockstaele; Jan De Houwer; Jan Van Meerbeeck; Kristiaan Nackaerts
Journal:  Psychopharmacology (Berl)       Date:  2015-03-13       Impact factor: 4.530

10.  Implicit Attitudes and Smoking Behavior in a Smoking Cessation Induction Trial.

Authors:  Hyoung S Lee; Merideth Addicott; Laura E Martin; Kari J Harris; Kathy Goggin; Kimber P Richter; Christi A Patten; F Joseph McClernon; Kandace Fleming; Delwyn Catley
Journal:  Nicotine Tob Res       Date:  2017-12-13       Impact factor: 4.244

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  1 in total

1.  You Don't Need an App-Conducting Mobile Smoking Research Using a Qualtrics-Based Approach.

Authors:  Yong Cui; Jason D Robinson; Rudel E Rymer; Jennifer A Minnix; Paul M Cinciripini
Journal:  Front Digit Health       Date:  2022-01-06
  1 in total

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