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VIRTUAL REALITY CUE EXPOSURE THERAPY FOR THE TREATMENT OF TOBACCO DEPENDENCE.

Authors: Christopher S, Culbertson; Stephanie, Shulenberger; Richard, De La Garza; Thomas F, Newton; Arthur L, Brody;

VIRTUAL REALITY CUE EXPOSURE THERAPY FOR THE TREATMENT OF TOBACCO DEPENDENCE.

Abstract

Researchers and clinicians have recently begun using Virtual Reality (VR) to create immersive and interactive cue exposure paradigms. The current study aimed to assess the effectiveness of individual cue exposure therapy (CET), using smoking-related VR cues (smoking-VR) as a smoking cessation treatment compared to a placebo-VR (neutral cue) treatment. The sample consisted of healthy treatment-seeking cigarette smokers, who underwent bi-weekly cognitive behavioral group therapy (CBT) plus either smoking-VR CET or placebo-VR CET (random assignment). Smoking-VR CET participants had a higher quit rate than placebo-VR CET participants (P = 0.015). Smoking-VR CET treated participants also reported smoking significantly fewer cigarettes per day at the end of treatment than placebo-VR CET treated participants (P = 0.034). These data indicate that smoking-related VR CET may prove useful in enhancing the efficacy of CBT treatment for tobacco dependence.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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