Predictors of Successful Tobacco Cessation After Receiving an E-Cigarette Based Smoking Cessation Intervention

被引:0
作者
Pope, Ian [1 ]
Clark, Allan [1 ]
Clark, Lucy [1 ]
Ward, Emma [1 ]
Stirling, Susan [1 ]
Belderson, Pippa [1 ]
Notley, Caitlin [1 ]
机构
[1] Univ East Anglia, Norwich Med Sch, Norwich NR4 7TJ, England
关键词
Smoking cessation; predictors; emergency medicine; electronic cigarettes; SOCIODEMOGRAPHIC PREDICTORS; STOP SMOKING; DEPENDENCE; MOTIVATION;
D O I
10.1177/1179173X241283470
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
IntroductionE-cigarettes have been shown to be effective for tobacco smoking cessation. Predicting those who are most likely to achieve smoking abstinence after receiving an e-cigarette based smoking cessation intervention could help to target interventions more efficiently.MethodsA secondary analysis of baseline characteristics of 505 people who received an emergency department based smoking cessation intervention incorporating brief advice, provision of an e-cigarette starter kit and referral to stop smoking services. Gender, ethnicity, age, employment status, deprivation, partner smoking status, cigarettes per day, motivation to quit, cigarette dependence and previous e-cigarette use were assessed as predictors of abstinence. Self-reported smoking status was collected 6 months after intervention delivery.ResultsAt 6 months 169/505 (33%) of those who received the intervention self-reported abstinence. The groups that were more likely to report having quit were females (37.4% of females vs 31.0% of males), older people (41.1% of over 50s vs 33.3% of under 35s), lighter smokers (36.4% of those who smoked less than 10 cigarettes per day vs 30.7% for those who smoked over 20) and more motivated quitters (35.6% for those with high motivation vs 29.2% for those with low motivation). However, in multiple logistic regression, when adjusting for the other factors, no factors significantly predicted smoking abstinence. Degree of nicotine dependence was very similar between those who quit and those who did not.ConclusionThe study found no baseline factors that could predict successful smoking cessation with e-cigarettes. Consequently, this study does not support the use of a targeted e-cigarette-based smoking cessation intervention, suggesting the adoption of a more universal approach.
引用
收藏
页数:5
相关论文
共 20 条
[1]   Association of prevalence of electronic cigarette use with smoking cessation and cigarette consumption in England: a time-series analysis between 2007 and 2017 [J].
Beard, Emma ;
West, Robert ;
Michie, Susan ;
Brown, Jamie .
ADDICTION, 2020, 115 (05) :961-974
[2]   Common predictors of smoking cessation in clinical practice [J].
Caponnetto, Pasquale ;
Polosa, Riccardo .
RESPIRATORY MEDICINE, 2008, 102 (08) :1182-1192
[3]   Socio-demographic predictors of quitting smoking: how important are household factors? [J].
Chandola, T ;
Head, J ;
Bartley, M .
ADDICTION, 2004, 99 (06) :770-777
[4]   Predictors of perceived success in quitting smoking by vaping: A machine learning approach [J].
Fu, Rui ;
Schwartz, Robert ;
Mitsakakis, Nicholas ;
Diemert, Lori M. ;
O'Connor, Shawn ;
Cohen, Joanna E. .
PLOS ONE, 2022, 17 (01)
[5]   The characteristics of patients who quit smoking in the year following a cancer diagnosis [J].
Gummerson, Scott P. ;
Lowe, Jeremiah T. ;
Taylor, Kathryn L. ;
Lobo, Tania ;
Jensen, Roxanne E. .
JOURNAL OF CANCER SURVIVORSHIP, 2022, 16 (01) :111-118
[6]   Electronic cigarettes for smoking cessation [J].
Hartmann-Boyce, Jamie ;
Lindson, Nicola ;
Butler, Ailsa R. ;
McRobbie, Hayden ;
Bullen, Chris ;
Begh, Rachna ;
Theodoulou, Annika ;
Notley, Caitlin ;
Rigotti, Nancy A. ;
Turner, Tari ;
Fanshawe, Thomas R. ;
Hajek, Peter .
COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2022, (11)
[7]   Behavioural interventions for smoking cessation: an overview and network meta-analysis [J].
Hartmann-Boyce, Jamie ;
Livingstone-Banks, Jonathan ;
Ordonez-Mena, Jose M. ;
Fanshawe, Thomas R. ;
Lindson, Nicola ;
Freeman, Suzanne C. ;
Sutton, Alex J. ;
Theodoulou, Annika ;
Aveyard, Paul .
COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2021, (01)
[8]  
HEATHERTON TF, 1991, BRIT J ADDICT, V86, P1119
[9]   Predictive validity of the Motivation To Stop Scale (MTSS): A single-item measure of motivation to stop smoking [J].
Kotz, D. ;
Brown, J. ;
West, R. .
DRUG AND ALCOHOL DEPENDENCE, 2013, 128 (1-2) :15-19
[10]   Factors associated with successful smoking cessation in the United States, 2000 [J].
Lee, Chung-won ;
Kahende, Jennifer .
AMERICAN JOURNAL OF PUBLIC HEALTH, 2007, 97 (08) :1503-1509