Characteristics of Participants Who Stop Smoking and Sustain Abstinence for 1 and 5 Years in the Lung Health Study
Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada. Preventive Medicine
(Impact Factor: 3.09).
06/2000; 30(5):392-400. DOI: 10.1006/pmed.2000.0642
This study describes baseline and Year 1 predictors of abstinence from smoking for the 3,523 intervention participants who had complete annual 5-year follow-up data in the Lung Health Study (LHS).
The LHS enrolled 5,887 smokers, aged 35 to 60 years, of whom 3,923 were offered a cessation intervention. Of these, 22% achieved biochemically verified abstinence for 5 years. Logistic regressions were performed. The first outcome variable was abstinence from smoking at 1 year. Then for those who were quit at 1 year, the outcome variable was 5 years of sustained abstinence.
All participants who were not using nicotine gum after 1 year in the study were more likely to sustain cessation over 5 years than were gum users at year 1 (OR ranged from 0.31 to 0.44 for four age- and sex-specific groups). Baseline number of previous quit attempts was negatively associated with 5-year quitting success among younger and older men (OR = 0.82 and 0.83). Older participants who were less likely to associate smoking with emotional coping had higher abstinence rates at 5 years of follow-up (OR = 0.89 and 0.84).
Different mechanisms may be responsible for achieving cessation in age/gender groups. These results have implications for planning successful interventions.
Available from: John Ohrvik
- "Point prevalence abstinence is high and increases in both programs over time, in SI 39% after 5 years and 52% after 11 years, in UC 22% and 43%, respectively. Participants with sustained abstinence for the first 5-year period are very likely to still be abstinent after 11 years, when validated sustained abstinence is 22% for SI and 6% for UC [34,35]. Blondal et al. report 9% sustained abstinence after six years among smokers in Iceland receiving nicotine patches for five months and 10 individual and group meetings . "
[Show abstract] [Hide abstract]
ABSTRACT: Achieving lifelong tobacco abstinence is an important public health goal. Most studies use 1-year follow-ups, but little is known about how good these are as proxies for long-term and life-long abstinence. Also, intervention intensity is an important issue for development of efficient and cost-effective cessation treatment protocols.
The study aims were to assess the long-term effectiveness of a high- and a low-intensity treatment (HIT and LIT) for smoking cessation and to analyze to what extent 12-month abstinence predicted long-term abstinence.
300 smokers attending dental or general health care were randomly assigned to HIT or LIT at the public dental clinic. Main outcome measures were self-reported point prevalence, continuous abstinence (≥6 months), and sustained abstinence. The study was a follow-up after 5–8 years of a previously performed 12-month follow-up, both by postal questionnaires.
Response rate was 85% (n=241) of those still alive and living in Sweden. Abstinence rates were 8% higher in both programs at the long-term than at the 12-month follow-up. The difference of 7% between HIT and LIT had not change, being 31% vs. 24% for point prevalence and 26% vs. 19% for 6-month continuous abstinence, respectively. Significantly more participants in HIT (12%) than in LIT (5%) had been sustained abstinent (p=0.03). Logistic regression analyses showed that abstinence at 12-month follow-up was a strong predictor for abstinence at long-term follow-up.
Abstinence at 12-month follow-up is a good predictor for long-term abstinence. The difference in outcome between HIT and LIT for smoking cessation remains at least 5–8 years after the intervention.
Trial registration number
Available from: sciencedirect.com
- "oking education was not helpful to successful smoking cessation . An analysis of data from Swan et al . ( 2003 ) found that previous use of nicotine replacement therapy was a risk factor for persistent smoking . A cross - sectional study of lung health found that the number of quitting attempts had a negative impact on smoking abstinence for men ( Murray et al . , 2000 ) . In another study of 3 , 923 smokers who received nicotine gum for cessation , prior use of nicotine gum was associated with poorer quitting rates ( Bjornson et al . , 1995 ) . It may have resulted from lower levels of adherence among those with a previous unsuccessful experience with the product . Self - reliance to stop smoking is "
[Show abstract] [Hide abstract]
A better understanding of the factors contributing to smoking cessation would be of substantial benefit to public health. The purpose of this study was to identify significant predictors of successful smoking cessation in the Korean population.
We compared 1,181 successful quitters with 940 current smokers who made a recent attempt to quit but failed in the past 12 months using the fourth Korea National Health and Nutrition Examination Survey. We examined the relationship of sociodemographic, behavioral and environmental characteristics, comorbid conditions, and quitting methods to successful smoking cessation.
Older age, female, being married, having higher education, having a lower level of stress, having smoked 20 or more cigarettes per day, and one's own will for quitting have been identified as significant determinants of successful cessation. Frequency of alcohol consumption and trying numerous quitting methods was inversely related to stopping smoking.
This study suggests that cessation programs need to take a holistic approach and should consider these factors in setting up.
Available from: Theodore C Lee
- "A number of other demographic and smoking-related characteristics have been linked to positive cessation outcome, albeit with varying degrees of consistency. These include older age (Murray et al., 2000; Velicer et al.,, 2007), male gender (Ferguson et al., 2003; Dale et al., 2001; Gourlay et al., 1994), being married (Murray et al., 2000; Carlson et al.,, 2000), smoking fewer cigarettes per day (Carlson et al., 2000; Dale et al., 2001), less exposure to smokers in the household (Carlson et al., 2000; Murray et al., 2000), lower severity of nicotine dependence (Ferguson et al., 2003), longer periods of smoking abstinence in the past (Murray et al., 2000; Ward et al., 1997; Garvey et al., 1992), and less alcohol consumption (Garvey et al., 1992; Nides et al., 1995). "
[Show abstract] [Hide abstract]
ABSTRACT: Identifying predictors of smoking relapse helps to elucidate the challenges of long-term smoking cessation and provides direction for improved treatment development.
In this post hoc data analysis, we examined predictors of relapse from end-of-treatment (week 13) through 1-year follow-up (week 52) for treatment-responding participants who achieved the primary efficacy endpoint of 4-week continuous abstinence (weeks 9-12), during two phase III varenicline trials.
Of 626 smokers classified as treatment responders for all treatment groups across both trials, 301 (48%) relapsed during follow-up (weeks 13-52). The odds of relapsing were almost 5 times greater (odds ratio [OR]=4.92, 95% confidence interval [CI]: 2.77-8.97; p<.001) for treatment responders who did not initiate continuous abstinence until the final 4 weeks of the treatment period compared with those who initiated continuous abstinence by their quit date. Participants who reported >30 days of abstinence during the year prior to study entry were significantly more likely to relapse than those who reported 0 days of abstinence (OR=2.38, 95% CI: 1.17-5.04; p=.013).
Results of these analyses suggest that the ability to quit smoking on the initial quit date and maintain abstinence throughout the treatment period is a good prognostic indicator for long-term abstinence. The relationship between post-treatment relapse and longer pretreatment periods of abstinence is counterintuitive, yet not without precedence in the literature.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.