Inside JABA #6: How to Stop Smoking Using Behavior Analysis

Inside JABA #6: How to Stop Smoking Using Behavior Analysis

In the sixth edition of the Inside JABA Series, I'm joined by Inside JABA regulars Drs. Linda LeBlanc and Claire St. Peter, as well as Dr. Jesse Dallery, to talk about the paper he and his colleagues published in the latest issue of the Journal of Applied Behavior Analysis.

This paper fits nicely in JABA's ongoing series on Public Health and Telehealth, and is a great example of the potential for Behavior Analysis to be used for so much more than the type of work many BCBAs are doing currently. As Linda states during the show, "public health is all around us," and that public health challenges, at the end of the day, are behavioral in nature. As an aside, if you're not currently subscribed to JABA, you can do so here.

Here are some of the topics we discussed:

  • The current scope of cigarette smoking in the United States.
  • How cigarette smoking occurs disproportionately in individuals of lower socio-economic status.
  • Previous research in the contingency management (CM) of cigarette smoking.
  • The logistical challenges of previous work in CM.
  • How Jesse and his research team addressed these challenges in the current study by developing a mobile system of carbon monoxide sampling.
  • The relationship between the literatures of CM and Delay Discounting, and more generally, Behavioral Economics (I couldn't' help myself from butting in and asking a few questions about this).

Here are the links to papers, podcasts, apps, and other resources we talked about:

As with previous Inside JABA Series Podcasts, this one is eligible for BACB approved Continuing Education, click here to learn more! While we're on the topic of CEUs, allow me to suggest subscribing to the Behavioral Observations' Patreon page, where enrolled patrons get access to discounts in the BOP CEU store, as well as other purveyors of behavior analytic training. To learn more, head over to patreon.com/behavioralobservations!

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