Dataset Information

Are health conditions and concerns about health effects of smoking predictive of quitting? Findings from the ITC 4CV Survey ( 2016-2018 ).

ABSTRACT: INTRODUCTION:Limited research has investigated the relationship between multiple health conditions and subsequent quitting activities at the population level. This study examines whether nine health conditions and concerns related to smoking are predictive of quit attempts and success among those who tried. METHODS:Data came from the International Tobacco Control Four Country Smoking and Vaping Survey conducted in Australia, Canada, England and the US. A total of 3998 daily smokers were surveyed in 2016 and recontacted in 2018. Respondents were asked in 2016 whether they had a medical diagnosis for depression, anxiety, alcohol problems, obesity, chronic pain, diabetes, heart disease, cancer, and chronic lung disease, and whether they had concerns about past/future health effects of smoking. Outcomes were quit attempts and success (having been abstinent for at least one month between surveys). RESULTS:Across all four countries, 44.4% of smokers tried to quit between the two survey years, and of these 36.8% were successful. Concerns about past (adjusted odds ratio, AOR=1.66, 95% CI: 1.32-2.08, p<0.001) and future effects of smoking (AOR=2.17, 95% CI: 1.62-2.91, p<0.001) and most health conditions predicted quit attempts, but were mostly unrelated to quit success, with concerns about future effects (AOR=0.59, 95% CI: 0.35-0.99, p<0.05), chronic lung conditions (AOR=0.56, 95% CI: 0.37-0.86, p<0.01) and chronic pain (with a trend) being associated with lower success. CONCLUSIONS:Having a major chronic health condition does, generally, motivate making quit attempts, but in some cases it is associated with failure among those who try. More effective cessation support is required for these high priority groups.

SUBMITTER: Li L

PROVIDER: S-EPMC7643583 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Are health conditions and concerns about health effects of smoking predictive of quitting? Findings from the ITC 4CV Survey ( 2016-2018 ).

Li Lin L Borland Ron R Cummings K Michael KM McNeill Ann A Heckman Bryan W BW Fong Geoffrey T GT O'Connor Richard J RJ Driezen Pete P

Tobacco prevention & cessation 20201027

<h4>Introduction</h4>Limited research has investigated the relationship between multiple health conditions and subsequent quitting activities at the population level. This study examines whether nine health conditions and concerns related to smoking are predictive of quit attempts and success among those who tried.<h4>Methods</h4>Data came from the International Tobacco Control Four Country Smoking and Vaping Survey conducted in Australia, Canada, England and the US. A total of 3998 daily smoker ...[more]

PMID: 33163706

Similar Datasets

Project description:IntroductionTo test whether urges to smoke and perceived addiction to smoking have independent predictive value for quit attempts and short-term quit success over and above the Heaviness of Smoking Index (HSI).Aims and methodsData were from the International Tobacco Control Four Country Smoking and Vaping Wave 1 (2016) and Wave 2 (2018) surveys. About 3661 daily smokers (daily vapers excluded) provided data in both waves. A series of multivariable logistic regression models assessed the association of each dependence measure on odds of making a quit attempt and at least 1-month smoking abstinence.ResultsOf the 3661 participants, 1594 (43.5%) reported a quit attempt. Of those who reported a quit attempt, 546 (34.9%) reported short-term quit success. Fully adjusted models showed that making quit attempts was associated with lower HSI (adjusted odds ratio [aOR] = 0.81, 95% confidence interval [CI] = 0.73 to 0.90, p < .001), stronger urges to smoke (aOR = 1.08, 95% CI = 1.04 to 1.20, p = .002), and higher perceived addiction to smoking (aOR = 0.52, 95% CI = 0.32 to 0.84, p = .008). Lower HSI (aOR = 0.57, 95% CI = 0.40 to 0.87, p < .001), weaker urges to smoke (aOR = 0.85, 95% CI = 0.76 to 0.95, p = .006), and lower perceived addiction to smoking (aOR = 0.55, 95% CI = 0.32 to 0.91, p = .021) were associated with greater odds of short-term quit success. In both cases, overall R2 was around 0.5.ConclusionsThe two additional dependence measures were complementary to HSI adding explanatory power to smoking cessation models, but variance explained remains small.ImplicationsStrength of urges to smoke and perceived addiction to smoking may significantly improve prediction of cessation attempts and short-term quit success over and above routinely assessed demographic variables and the HSI. Stratification of analyses by age group is recommended because the relationship between dependence measures and outcomes differs significantly for younger (aged 18-39) compared to older (aged older than 40) participants. Even with the addition of these extra measures of dependence, the overall variance explained in predicting smoking cessation outcomes remains very low. These measures can only be thought of as assessing some aspects of dependence. Current understanding of the factors that ultimately determine quit success remains limited.

Project description:IntroductionThere is limited research on the role of flavors in nicotine vaping products (NVPs) in relation to smoking. We examined patterns of flavor use in NVPs in relation to progression toward quitting.Aims and methodsData come from 886 concurrent users of NVPs (at least weekly) and cigarettes who were first surveyed in 2016 and then successfully recontacted in 2018 as part of the ITC 4CV Surveys conducted in Australia, Canada, England, and the United States. Participants were asked about their main vaping flavor categorized as: (1) tobacco or unflavored, (2) menthol or mint flavored, and (3) "sweet" flavors (eg, fruit or candy). We examined whether flavor was associated with progression toward quitting smoking between survey years.ResultsOverall, 11.1% of baseline concurrent users quit smoking by 2018. Compared with users of tobacco flavors, those vaping "sweet" flavors were more likely to quit smoking between surveys (13.8% vs. 9.6%; adjusted odds ratio [aOR] = 1.61, 95% confidence interval [CI] 1.01-2.58, p < .05), but those using menthol flavors were no more likely to quit smoking (8.3% vs. 9.6%, aOR = 0.87, 95% CI 0.43-1.47, p = .69). Among those who had quit smoking in 2018, 52.0% were still vaping, which was lower than the 65.8% among continuing smokers (aOR = 0.60, 95% CI 0.39-0.92, p = .02). Sweet flavor users were no more likely to continue vaping compared with tobacco flavor users, either for those continuing smoking or those having quit smoking by 2018. There was a net shift away from tobacco flavor among those who continued to vape at follow-up.ConclusionsUse of fruit and other sweet flavored e-liquids is positively related to smokers' transition away from cigarettes.ImplicationsWith multiple jurisdictions considering limiting or banning the sale of flavored NVPs, it is important to consider how such policies may impact smokers using NVPs to transition away from cigarette smoking. Our results indicate that vapers who used sweet flavors were more likely to transition away from cigarette smoking and quit cigarette use, at least in the short term, compared with those who used tobacco or unflavored NVPs. Randomized clinical trials are needed to establish if the observed association between use of flavored e-liquids and smoking cessation is due to self-selection or is truly causal.

Dataset Information

Are health conditions and concerns about health effects of smoking predictive of quitting? Findings from the ITC 4CV Survey ( 2016-2018 ).

Publications

Are health conditions and concerns about health effects of smoking predictive of quitting? Findings from the ITC 4CV Survey ( 2016-2018 ).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets