In this episode, Annika Theodoulou speaks to Professor Jonathan Bricker, a Professor of Public Health at the Fred Hutchinson Cancer Research Center and Affiliate Professor of Psychiatry at the University of Washington in Seattle, Washington, US. The interview covers Jonathan’s research article covering intersectionality in cigarette smoking cessation using a latent class analysis to predict 12-month cessation in a randomized controlled trial.

Intersectionality and why it is important to explore in smoking cessation [01:19]
Six factors that are well-known predictors of smoking [03:20]
The aim of a latent class analysis [04:55]
The key findings of the study [07:09]
The differences found between smartphone apps used in the trial [11:02]
The implications of the findings for policy and practice [14:49]

About Annika Theodoulou: Annika is a researcher at the Nuffield Department of Primary Care Health Sciences at the University of Oxford. Her work focuses on health behaviours, including smoking cessation and weight management, with an emphasis on evidence synthesis. Annika’s doctoral research, funded by the Society for the Study of Addiction (SSA) and The Rotary Foundation, examined socioeconomic inequalities in smoking cessation behaviours and outcomes using quantitative and qualitative methods. She is an Associate Editor of Nicotine & Tobacco Research. Annika holds a Bachelor of Health Sciences and a Master of Clinical Science from the University of Adelaide.

About Jonathan Bricker: Jonathan is an expert in the field of health behavior change interventions. He is a Full Professor of Public Health at the Fred Hutchinson Cancer Research Center and Affiliate Professor of Psychiatry at the University of Washington in Seattle, Washington. Dr. Bricker is founder and leader of the Health and Behavioral Innovations in Technology (“HABIT”) Research Group. The HABIT research group focuses on developing and testing innovative theory-based behavioral interventions for tobacco cessation and weight loss, especially those delivered in widely disseminable technology platforms. He and his team have developed a novel health behavior change intervention model based on the principles of Acceptance and Commitment Therapy (“ACT”). The principal investigator of over $35 million US dollars in research grants, he has been leading ten NIH R01 randomized trial grants, as well as led or collaborated on multiple other Federal and private research grants. His current grants focus on testing a machine learning natural language processing chatbot for quitting smoking, several smartphone applications for tobacco cessation in the general population, among cancer patients, American Indians & Alaska Natives, Hispanics, and adolescents, and a weight loss telephone coaching program based on ACT. His “iCanQuit” smartphone app based on ACT was proven more effective than a leading National Cancer Institute smartphone app based on the US Clinical Practice Guidelines in a large, randomized trial published in JAMA Internal Medicine. iCanQuit is now publicly available. He has published over 150 peer-reviewed research articles on addictions, behavioral interventions, and technologies. Currently, he serves as a Senior Editor of the journal Addiction.

Original article: Intersectionality in cigarette smoking cessation: A latent class analysis to predict 12-month cessation in a randomized controlled trial https://doi.org/10.1111/add.70185Digital Object Identifier (DOI)

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