Smoking addiction: the shift from head to hands: Approach bias towards smoking-related cues in low-dependent versus dependent smokers

Reliability of and associations between cognitive bias measures and response inhibition in smoking

BACKGROUND AND OBJECTIVE

Theoretical models propose that different cognitive biases are caused by a common underlying mechanism (incentive salience/"wanting") and should, therefore, be interrelated. Additionally, stronger impulsive processes should be related to weaker inhibitory abilities. However, these assumptions have hardly been empirically tested and key psychometric information have hardly been reported in samples of smokers. To extent previous research, the present study aimed (1) to estimate the reliability (split-half) of different cognitive bias measures and (2) to investigate associations between attention, approach and associative biases, response inhibition, and smoking-related variables.

METHODS

Eighty current, non-deprived smokers completed the following tasks in random order: Approach-Avoidance Task (AAT), Stimulus-Response Compatibility Task (SRCT), Implicit-Association Tests (IAT, approach-avoid, valence), Dotprobe Task, Go-/NoGo Task (GNGT). Additionally, different smoking-related variables were assessed. Split-half reliabilities of the different cognitive (bias) measures and correlations between them were calculated.

RESULTS

Split-half reliabilities of the AAT, the SRCT, and the Dotprobe Task were unacceptable whereas both IATs and the GNGT showed good to excellent reliability. Smoking-approach associations were significantly related to nicotine dependence; however, none of the cognitive bias measures correlated with response inhibition or smoking-related variables.

LIMITATIONS

Pictorial stimuli were the same across paradigms and might not have been relevant to all participants.

CONCLUSIONS

This is the first study to investigate the association between different cognitive biases, response inhibition, and smoking-related variables. Although findings are at odds with theoretical assumptions, their interpretation is clearly restricted by the low reliability of the cognitive bias measures.

Electrophysiological signature of the interplay between habits and inhibition in response to smoking-related cues in individuals with a smoking habit: An event-related potential study

The rigid, stimulus-bound nature of drug seeking that characterizes substance use disorder (SUD) has been related to a dysregulation of motivational and early attentional reflexive and inhibitory reflective systems. However, the mechanisms by which these systems are engaged by drug-paired conditioned stimuli (CSs) when they promote the enactment of seeking habits in individuals with a SUD have not been elucidated. The present study aimed behaviourally and electrophysiologically to characterize the nature of the interaction between the reflexive and reflective systems recruited by CSs in individuals with a smoking habit. We measured the behavioural performance and associated event-related potentials (ERPs) of 20 individuals with a smoking habit and 20 controls, who never smoked regularly, in a modified Go/NoGo task during which smoking-related CSs, appetitive and neutral pictures, presented either in first or third-person visual perspective were displayed 250 ms before the Go/NoGo cue. We show that smoking-related cues selectively influence early incentive motivation-related attention bias (N2 after picture onset), motor readiness and behavioural inhibition (Go-P3, NoGo-P3 and Pc) of individuals with a smoking habit only when presented from a first-person visual perspective. These data together identify the neural signature of the aberrant engagement of the reflexive and reflective systems during the recruitment of an incentive habit by CSs presented as if they had been response-produced, that is, as conditioned reinforcers.

A Pilot Study on Approach Bias Modification in Smoking Cessation: Activating Personalized Alternative Activities for Smoking in the Context of Increased Craving

Background

The act of smoking has been associated with the automatic activation of approach biases towards smoking-related stimuli. However, previous research has produced mixed findings when smokers are trained to avoid such smoking-related stimuli through the application of Approach Bias Modification (ApBM). As such, this study aimed to test an improved ApBM (ApBM +), where smokers were trained to approach personalized alternative activities for smoking in the context of increased craving, in addition to training smoking-avoidance responses.

Methods

Sixty-seven daily smokers motivated to quit (M age = 29.27, 58.2% female) were randomly assigned to seven sessions of either ApBM + (n = 26), standard-ApBM (n = 19), or sham-ApBM (n = 22), after a brief motivational smoking intervention. Primary outcomes of approach biases for smoking and for alternative activities and secondary outcomes of smoking-related behaviors were assessed at pre-test, post-test, and 1-month follow-up.

Results

Overall, no group differences by condition were demonstrated in changing approach biases or smoking-related behaviors at post-test and 1-month follow-up. A trend level indication for differences in changes of smoking-approach biases between sham-ApBM and ApBM + for relatively heavy smokers was found at post-test. This was primarily driven by a significant increase in smoking-approach biases within the sham-ApBM condition and a trend decrease in smoking-approach biases within the ApBM + condition.

Conclusions

Our findings did not provide support for the current ApBM + concerning improved effects across the whole sample. Diverging training effects on approach biases for smoking in relatively heavy smokers warrants further research, for which we provide some suggestions.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12529-021-10033-x.

Imaginal Retraining Reduces Craving for Tobacco in 1-Year Controlled Follow-Up Study

INTRODUCTION

Imaginal retraining is a self-help technique that adapts the principles of approach bias modification to the imagination. Imaginal retraining has been shown to reduce craving and addictive behaviours in 3 randomized controlled trials (RCTs) on problematic alcohol consumption, overweight, and tobacco use. To date, there have been no studies evaluating the long-term efficacy of the intervention. The aim of the present study was to generate first hypotheses on the long-term efficacy of imaginal retraining in smokers in a controlled 1-year follow-up study.

MATERIALS AND METHODS

We recontacted the 345 participants who had taken part in an RCT on imaginal retraining for smokers 1 year later. The survey was carried out online and assessed craving for tobacco (primary outcome), smoking behaviour, well-being, and subjective appraisal. Individuals who applied the technique at least once during the previous year were categorized as the training group, whereas participants who never performed the training were categorized as the no-training group. Data were analysed using linear mixed models (LMMs). The study was preregistered as DRKS00021044.

RESULTS

The completion rate was 45.5%. Less than 40% used the intervention at least once in the previous 12 months. LMM analyses showed a significant reduction in craving for tobacco for the training compared to the no-training group after 1 year. No significant group differences emerged in smoking behaviour, depressive symptoms, or quality of life. Subjective appraisal of the intervention was favorable, similar to the initial study.

CONCLUSION

The present study provides preliminary support for the long-term efficacy of imaginal retraining on craving for tobacco but not on smoking behaviour, highlighting the importance of multimodal treatment concepts in smoking cessation that target a variety of maintaining factors. Future studies need to investigate the long-term efficacy of the intervention in prospective RCTs that test alternative ways of conveying the technique to improve adherence.

Approach bias retraining through virtual reality in smokers willing to quit smoking: A randomized-controlled study

Automatic approach biases toward smoking-related cues have been implicated in the development and maintenance of addictive behaviors. Studies aiming at modifying such biases have shown promise in changing maladaptive approach tendencies for smoking cues and reducing smoking behavior. However, training effects tend to be small and partly inconsistent. The present randomized-controlled trial incorporated virtual reality (VR) technology into Approach Bias Modification (ABM) to improve efficacy. One-hundred-eight smokers attended behavioral counseling for smoking cessation and were thereafter randomized to receive VR-ABM or VR-control training. During VR-ABM, participants trained to implicitly avoid smoking-related objects and to approach alternative objects, while no such contingency existed in the VR-control condition. Trainings were administered in six sessions within a two-week period. Assessments were conducted at baseline, post-intervention (three weeks after baseline), and at follow-up (seven weeks after baseline). VR-ABM did not change approach biases, nor other cognitive biases, but it was superior in reducing daily smoking. However, this effect was limited to the two-week training period. Both groups improved in other smoking- and health-related variables across time. Future work should continue to investigate working mechanisms of ABM, in particular crucial training ingredients. VR could prove valuable for public health as the potential of VR-based treatments is large and not fully explored.

Food Addiction: Implications for the Diagnosis and Treatment of Overeating

With the obesity epidemic being largely attributed to overeating, much research has been aimed at understanding the psychological causes of overeating and using this knowledge to develop targeted interventions. Here, we review this literature under a model of food addiction and present evidence according to the fifth edition of the Diagnostic and Statistical Manual (DSM-5) criteria for substance use disorders. We review several innovative treatments related to a food addiction model ranging from cognitive intervention tasks to neuromodulation techniques. We conclude that there is evidence to suggest that, for some individuals, food can induce addictive-type behaviours similar to those seen with other addictive substances. However, with several DSM-5 criteria having limited application to overeating, the term 'food addiction' is likely to apply only in a minority of cases. Nevertheless, research investigating the underlying psychological causes of overeating within the context of food addiction has led to some novel and potentially effective interventions. Understanding the similarities and differences between the addictive characteristics of food and illicit substances should prove fruitful in further developing these interventions.