Literature DB >> 25618468

Depression status as a predictor of quit success in a real-world effectiveness study of nicotine replacement therapy.

Laurie Zawertailo1, Sabrina Voci2, Peter Selby3.   

Abstract

To provide population-level evidence of the role of current depression on smoking cessation treatment success, we conducted a secondary analysis of data obtained from a large cessation study conducted in over 13,000 smokers. On the basis of self-reported history of depression diagnoses at baseline, participants were divided into four mutually exclusive groups: current/recent depression, recurrent depression, past depression and no depression history. Cessation outcomes were compared among the four groups at 6-month follow-up. Of the 6261 individuals who were consented and attempted to be contacted for follow-up, 4648 (74.2%) had no diagnostic history of depression, 591 (9.4%) had a past history of depression, 759 (12.1%) had a current/recent depression diagnoses, and 263 (4.2%) had recurrent depression (both current and history). Those with recurrent depression were significantly less likely to quit smoking compared to those with no history of depression. In unadjusted analyses, recurrent depression was associated with significantly lower odds of quitting compared to those with either no history or a past history of depression. Current/recent depression was also associated with poorer quit outcomes compared to those with no history of depression. Depressed smokers may benefit from more individualized, in-person approaches to smoking cessation.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Depression; Nicotine replacement therapy; Smoking; Tobacco dependence; Treatment

Mesh:

Year:  2014        PMID: 25618468     DOI: 10.1016/j.psychres.2014.12.027

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

1.  Does Smoking Intensity Predict Cessation Rates? A Study of Light-Intermittent, Light-Daily, and Heavy Smokers Enrolled in Two Telephone-Based Counseling Interventions.

Authors:  Katherine Ni; Binhuan Wang; Alissa R Link; Scott E Sherman
Journal:  Nicotine Tob Res       Date:  2020-03-16       Impact factor: 4.244

2.  Mechanisms and Clinical Features of Co-occurring Opioid and Nicotine Use.

Authors:  Sarah D Lichenstein; Yasmin Zakiniaeiz; Sarah W Yip; Kathleen A Garrison
Journal:  Curr Addict Rep       Date:  2019-04-27

3.  Postdischarge smoking cessation in subgroups of hospitalized smokers: A latent class analysis.

Authors:  Thomas Ylioja; Gerald Cochran; Yuchiao Chang; Hilary A Tindle; Nancy A Rigotti
Journal:  Subst Abus       Date:  2017-07-20       Impact factor: 3.716

4.  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

5.  Cholinergic receptor nicotinic alpha 5 subunit polymorphisms are associated with smoking cessation success in women.

Authors:  Paulo Roberto Xavier Tomaz; Juliana Rocha Santos; Jaqueline Scholz; Tânia Ogawa Abe; Patrícia Viviane Gaya; André Brooking Negrão; José Eduardo Krieger; Alexandre Costa Pereira; Paulo Caleb Júnior Lima Santos
Journal:  BMC Med Genet       Date:  2018-04-05       Impact factor: 2.103

6.  The effectiveness of generic emails versus a remote knowledge broker to integrate mood management into a smoking cessation programme in team-based primary care: a cluster randomised trial.

Authors:  Nadia Minian; Sheleza Ahad; Anna Ivanova; Scott Veldhuizen; Laurie Zawertailo; Arun Ravindran; Claire de Oliveira; Dolly Baliunas; Carol Mulder; Corneliu Bolbocean; Peter Selby
Journal:  Implement Sci       Date:  2021-03-20       Impact factor: 7.327

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.