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This study used topic modeling to describe the most prevalent topics about alcohol in an online smoking cessation community, the prevalence of negative sentiment expressed about alcohol use in the context of a quit attempt (i.e., alcohol should be limited or avoided during a quit attempt) within topics, and the degree to which topics differed by user social connectivity within the network.

This study recruited 600 smokers with anxiety, depression, and alcohol use disorders (AUDs) who were new users of a publicly available Internet cessation treatment. Among participants with 3-month outcome data, structural equation models (SEM) examined the association of symptoms of anxiety/depression (combined) and AUD diagnosis on website engagement and 3-month quit rates.

This study quantified the potential reach of Internet smoking cessation interventions to support calculations of potential population impact (reach × effectiveness). Using a nationally representative survey, we calculated the number and proportion of adult smokers that look for cessation assistance online each year.