Literature DB >> 23734131

Should we train alcohol-dependent patients to avoid alcohol?

Reinout W Wiers1, Thomas E Gladwin, Mike Rinck.   

Abstract

Entities:  

Year:  2013        PMID: 23734131      PMCID: PMC3660696          DOI: 10.3389/fpsyt.2013.00033

Source DB:  PubMed          Journal:  Front Psychiatry        ISSN: 1664-0640            Impact factor:   4.157


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Spruyt et al. (2013) report an interesting study in which they compared an alcohol approach-bias, as measured with the Relevant-feature Stimulus Response Compatibility task (R-SRC) in 40 abstaining alcohol-dependent patients and 40 non-dependent controls. While controls had an approach-bias for alcohol as compared to matched control-pictures like water, alcohol-dependent patients showed a relative avoidance bias for alcohol. In the patients group, an avoidance-bias was associated with an increased risk for relapse 3 months later. The authors discuss the relationship of these findings with our training-results, in which alcohol-dependent patients trained to avoid alcohol did better at a 1-year follow-up: “Although initial findings suggest that alcohol-avoidance training could help reduce relapse rates in abstaining alcohol-dependent patients (Wiers et al., 2011), it is still unclear whether changes in automatically approach/avoidance tendencies are directly responsible for the observed changes in treatment outcome. Our findings suggest that actually inducing an avoidance orientation toward alcohol might have harmful effects, at least in a clinical population.” How can an alcohol-avoidance bias be a predictor of relapse, while alcohol-avoidance training has positive effects in alcohol-dependent patients? Consider two recent clinical alcohol-avoidance training studies. In our first study in 214 alcohol-dependent patients (Wiers et al., 2011), patients trained to avoid alcohol did better at a one year follow-up; in the experimental group, 13% less relapse was found compared with the control groups (either continued assessment or no training). However, as Spruyt et al. rightly point out, the expected mediation of the clinical outcome by a change in approach-bias was not confirmed (as is the case in many studies of Cognitive Bias Modification). In a recent replication study (Eberl et al., 2013), however, mediation was found. In this study, 509 alcohol-dependent patients were randomly assigned to one of two experimental conditions (in addition to “treatment as usual”, as in (Wiers et al., 2011)): they were either trained to avoid alcohol, or received no training at all. Again, training to avoid alcohol had beneficial effects at 1-year follow-up: patients in the experimental group showed 10% less relapse. In this larger sample, the better clinical outcome was mediated by a reduction in approach-bias for alcohol. These data contradict the idea that inducing an increase in avoidance orientations toward alcohol might be harmful in clinical populations: avoidance associations induced by avoidance training were not harmful but beneficial. How can this be reconciled with the data of Spuyt et al.? First, a correlational relationship between avoidance associations and subsequent relapse does not imply a causal relationship. Perhaps a third variable affected both avoidance associations and relapse probability. Imagine that patients have stronger alcohol-avoidance associations due to more problematic real-life alcohol-approach behavior. Patients with more problematic drinking patterns could also be expected to have relatively high chances of relapse. Another third variable could be differences in (current or previous) interventions, such as pharmacological treatment for alcohol craving: perhaps those patients with higher risk relapse had undergone different treatments that affected their approach/avoidance associations with alcohol. These particular third-variable explanations may or may not be true for the results of Spruyt et al.; they only serve to illustrate that a correlation between avoidance associations and relapse does not imply that the relapse risk was caused by the avoidance associations; and even less that inducing an avoidance association via training would cause an increased relapse risk. Second, different tasks were used in our studies and the study by Spruyt et al. In their prediction study, Spruyt et al. used the relevant-feature R-SRC, while we used an irrelevant-feature alcohol Approach Avoidance Task to measure the approach bias (alcohol AAT; Wiers et al., 2009) and different varieties of the task to modify the bias. As pointed out by De Houwer (2003), relevant and irrelevant feature tasks are structurally different. Relevant-feature tasks are less implicit in the sense of indirect (participants receive instructions regarding the contents of the stimuli), but are generally more reliable (Field et al., 2011), although reasonably good reliability has also been reported for the AAT (Cousijn et al., 2011). Field et al. (2011) directly compared a relevant- to an irrelevant-feature version of the SRC, and found no correlation between the two measures (r = −0.05, p = 0.37, Field, personal communication). In our own first re-training study, we also used the relevant-feature approach-avoid Implicit Association Test (Ostafin and Palfai, 2006), and again this measure was entirely unrelated to the AAT (r = −0.01, p = 0.92). Hence, measuring an approach-bias with a relevant-feature task appears to be unrelated to measuring, and perhaps changing, an approach-bias with an irrelevant-feature task. It could at least theoretically be the case that the kind of avoidance associations as measured by a relevant-feature SRC cause an increased chance of relapse, while alcohol-avoidance associations retrained and assessed by an irrelevant-feature AAT decrease the chance of relapse. In conclusion, the evidence does not support the idea that the induction of an avoidance bias is likely to be harmful in alcoholic patients: the study of Spruyt et al. does not allow conclusions regarding causality, and a recent training study in fact showed that a relative increase in avoidance mediated the beneficial effects of avoidance training. We do, however, concur with Spruyt et al. that more research is needed regarding the assessment and modification of biases in action tendencies (Watson et al., 2012; Wiers et al., 2013), and other cognitive biases, such as attentional biases, where similar measurement issues arise (Ataya et al., 2012), and where training to avoid alcohol has also shown beneficial effects in alcoholic patients (Schoenmakers et al., 2010). Further, while our replication study showed that a decrease in approach-bias to alcohol stimuli mediates the clinical effect, one could still hypothesize that overly strong avoidance associations may be less desirable than, e.g., more moderate avoidance, a general reduction in salience, or attentional inhibition of distracting or “tempting” stimulus features. Such questions are clearly of potential clinical importance and more research is needed to determine the underlying mechanisms of these novel training interventions.
  10 in total

1.  Internal reliability of measures of substance-related cognitive bias.

Authors:  Alia F Ataya; Sally Adams; Emma Mullings; Robbie M Cooper; Angela S Attwood; Marcus R Munafò
Journal:  Drug Alcohol Depend       Date:  2011-09-29       Impact factor: 4.492

2.  On the predictive validity of automatically activated approach/avoidance tendencies in abstaining alcohol-dependent patients.

Authors:  Adriaan Spruyt; Jan De Houwer; Helen Tibboel; Bruno Verschuere; Geert Crombez; Paul Verbanck; Catherine Hanak; Damien Brevers; Xavier Noël
Journal:  Drug Alcohol Depend       Date:  2012-07-07       Impact factor: 4.492

3.  Compelled to consume: the Implicit Association Test and automatic alcohol motivation.

Authors:  Brian D Ostafin; Tibor P Palfai
Journal:  Psychol Addict Behav       Date:  2006-09

4.  Retraining automatic action tendencies changes alcoholic patients' approach bias for alcohol and improves treatment outcome.

Authors:  Reinout W Wiers; Carolin Eberl; Mike Rinck; Eni S Becker; Johannes Lindenmeyer
Journal:  Psychol Sci       Date:  2011-03-09

5.  Approach bias modification in alcohol dependence: do clinical effects replicate and for whom does it work best?

Authors:  Carolin Eberl; Reinout W Wiers; Steffen Pawelczack; Mike Rinck; Eni S Becker; Johannes Lindenmeyer
Journal:  Dev Cogn Neurosci       Date:  2012-11-14       Impact factor: 6.464

6.  Clinical effectiveness of attentional bias modification training in abstinent alcoholic patients.

Authors:  Tim M Schoenmakers; Marijn de Bruin; Irja F M Lux; Alexa G Goertz; Dorieke H A T Van Kerkhof; Reinout W Wiers
Journal:  Drug Alcohol Depend       Date:  2010-01-12       Impact factor: 4.492

7.  Relatively strong automatic appetitive action-tendencies in male carriers of the OPRM1 G-allele.

Authors:  R W Wiers; M Rinck; M Dictus; E van den Wildenberg
Journal:  Genes Brain Behav       Date:  2008-11-11       Impact factor: 3.449

8.  Alcohol approach tendencies in heavy drinkers: comparison of effects in a Relevant Stimulus-Response Compatibility task and an approach/avoidance Simon task.

Authors:  Matt Field; Rhiane Caren; Gordon Fernie; Jan De Houwer
Journal:  Psychol Addict Behav       Date:  2011-05-02

9.  Reaching out towards cannabis: approach-bias in heavy cannabis users predicts changes in cannabis use.

Authors:  Janna Cousijn; Anna E Goudriaan; Reinout W Wiers
Journal:  Addiction       Date:  2011-09       Impact factor: 6.526

10.  Motivational Mechanisms and Outcome Expectancies Underlying the Approach Bias toward Addictive Substances.

Authors:  P Watson; S de Wit; Bernhard Hommel; R W Wiers
Journal:  Front Psychol       Date:  2012-10-22
  10 in total
  11 in total

1.  Cocaine dependent individuals with attenuated striatal activation during reinforcement learning are more susceptible to relapse.

Authors:  Jennifer L Stewart; Colm G Connolly; April C May; Susan F Tapert; Marc Wittmann; Martin P Paulus
Journal:  Psychiatry Res       Date:  2014-05-10       Impact factor: 3.222

2.  Examining neural reactivity to gambling cues in the age of online betting.

Authors:  Damien Brevers; Guillaume Sescousse; Pierre Maurage; Joël Billieux
Journal:  Curr Behav Neurosci Rep       Date:  2019-05-23

3.  Combining cognitive bias modification training with motivational support in alcohol dependent outpatients: study protocol for a randomised controlled trial.

Authors:  Marilisa Boffo; Thomas Pronk; Reinout W Wiers; Stefania Mannarini
Journal:  Trials       Date:  2015-02-26       Impact factor: 2.279

4.  Explicit and Implicit Approach vs. Avoidance Tendencies towards High vs. Low Calorie Food Cues in Patients with Obesity and Active Binge Eating Disorder.

Authors:  Georgios Paslakis; Simone Kühn; Sebastian Grunert; Yesim Erim
Journal:  Nutrients       Date:  2017-09-27       Impact factor: 5.717

5.  Automatic avoidance tendencies for alcohol cues predict drinking after detoxification treatment in alcohol dependence.

Authors:  Matt Field; Lisa Di Lemma; Paul Christiansen; Joanne Dickson
Journal:  Psychol Addict Behav       Date:  2016-12-01

6.  Neuropsychological Performance in Alcohol Dependent Patients: A One-Year Longitudinal Study.

Authors:  Lucia Ioime; Riccardo Guglielmo; Giuseppe Fertonani Affini; Marianna Quatrale; Giovanni Martinotti; Antonino Callea; Evelina Savi; Luigi Janiri
Journal:  Psychiatry Investig       Date:  2018-04-20       Impact factor: 2.505

7.  Augmenting Outpatient Alcohol Treatment as Usual With Online Alcohol Avoidance Training: Protocol for a Double-Blind Randomized Controlled Trial.

Authors:  Marleen Kj Bratti-van der Werf; Melissa C Laurens; Marloes G Postel; Marcel E Pieterse; Somaya Ben Allouch; Reinout W Wiers; Ernst T Bohlmeijer; Elske Salemink
Journal:  JMIR Res Protoc       Date:  2018-03-01

8.  A Systematic Review of Attention Biases in Opioid, Cannabis, Stimulant Use Disorders.

Authors:  Melvyn Zhang; Jiangbo Ying; Tracey Wing; Guo Song; Daniel S S Fung; Helen Smith
Journal:  Int J Environ Res Public Health       Date:  2018-06-01       Impact factor: 3.390

Review 9.  Implicit bias to food and body cues in eating disorders: a systematic review.

Authors:  Georgios Paslakis; Anne Deborah Scholz-Hehn; Laura Marie Sommer; Simone Kühn
Journal:  Eat Weight Disord       Date:  2020-08-08       Impact factor: 4.652

10.  Can baclofen change alcohol-related cognitive biases and what is the role of anxiety herein?

Authors:  Esther M Beraha; Elske Salemink; Erwin Krediet; Reinout W Wiers
Journal:  J Psychopharmacol       Date:  2018-06-13       Impact factor: 4.153

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