Literature DB >> 30665605

Treatment engagement mediates the links between symptoms of anxiety, depression, and alcohol use disorder with abstinence among smokers registered on an Internet cessation program.

Amy M Cohn1, Yitong Zhou2, Sarah Cha2, Lexie Perreras3, Amanda L Graham4.   

Abstract

Mental health problems like anxiety, depression, and substance use problems commonly co-occur with cigarette smoking and are linked to poor cessation outcomes. Although millions of smokers seek online quitting assistance each year, few studies have examined links between website utilization and cessation outcomes among smokers with mental health problems. 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 (n = 247, 42%), structural equation models (SEM) examined the association of symptoms of anxiety/depression (combined) and AUD diagnosis on website engagement and 3-month quit rates, controlling for covariates. The 3-month 30-day abstinence rate among those who completed follow-up was 28%, but only 14% among smokers with an AUD and 24.7% among smokers with symptoms of anxiety/depression. SEM results showed that treatment engagement significantly mediated the effect of mental health problems on 3-month abstinence: those with symptoms of anxiety/depression or an AUD had lower quit rates overall, however engagement with the website had a buffering effect on 3-month cessation outcomes. Engagement with an evidence-based Internet cessation program may be particularly useful for smokers with mental health comorbidities in increasing the chances of cessation. Future work should examine what level of treatment engagement meaningfully impacts behavior change for smokers with mental health problems who access Internet cessation programs.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Alcohol; Anxiety; Comorbidity; Depression; Internet cessation; Mental health; Smoking

Mesh:

Year:  2018        PMID: 30665605     DOI: 10.1016/j.jsat.2018.11.001

Source DB:  PubMed          Journal:  J Subst Abuse Treat        ISSN: 0740-5472


  2 in total

1.  Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials.

Authors:  Lyndsay A Nelson; Andrew J Spieker; Lindsay S Mayberry; Candace McNaughton; Robert A Greevy
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

2.  Which Method of Assessing Depression and Anxiety Best Predicts Smoking Cessation: Screening Instruments or Self-Reported Conditions?

Authors:  Noreen L Watson; Jaimee L Heffner; Kristin E Mull; Jennifer B McClure; Jonathan B Bricker
Journal:  Nicotine Tob Res       Date:  2020-10-08       Impact factor: 4.244

  2 in total

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