If at first you don't succeed, when should you try again? A prospective study of failed quit attempts and subsequent smoking cessation

Effect of age of tobacco initiation and number of failed quit attempts on maintenance of tobacco abstinence

BACKGROUND

The decision to make a quit attempt is the first step toward the tobacco cessation process. It is well established in the literature that if someone does not take tobacco till the age of 21 years then his chances of remaining tobacco-free for life are higher than his counterparts who start tobacco at early developmental ages.

METHODOLOGY AND TOOLS

The present study was conducted among 400 university undergraduate students. A cross-sectional survey design was used, multi-stage sampling was done, and four colleges were selected via random sampling. The motivation to quit tobacco, tobacco craving, and maintenance of tobacco abstinence was assessed via contemplation ladder, tobacco craving questionnaire Short Form, and smoking abstinence questionnaire. To validate subjective data, a urine cotinine test was performed.

RESULTS

The age of tobacco initiation significantly impacts intentions to quit tobacco and tobacco craving levels. The number of unsuccessful quit attempts was also significantly associated with the maintenance of tobacco abstinence. The failed quit attempts play a vital role in altering tobacco cravings and make the withdrawals more complicated to handle for recent tobacco quitters.

Comparison of the baseline characteristics and influencing factors of successful smoking cessation before and during the coronavirus disease pandemic

INTRODUCTION

Travel and living environment restrictions, which may have positive or negative effects on smoking-related behaviors, were implemented to limit the COVID-19 pandemic. This study aimed to compare the baseline clinical characteristics and smoking cessation (SC) rate at 3 months of patients in an SC clinic in Hunan Province, China before and during the COVID-19 pandemic and identify influencing factors of successful SC.

METHODS

Healthy patients at the SC clinic aged ≥18 years before the COVID-19 pandemic and during the COVID-19 pandemic were divided into groups A and B, respectively. The two groups’ demographic data and smoking characteristics were compared, and SC interventions were applied by the same medical staff team through telephone follow-up and counselling during the SC procedure.

RESULTS

Groups A and B included 306 and 212 patients, respectively, with no significant differences in demographic data. The SC rates of group A (pre COVID-19) and group B (during the COVID-19 pandemic) at 3 months were 23.5% and 30.7%, respectively, after the first SC visit. Those who chose to quit immediately or within 7 days were more successful than those who did not choose a quit date (p=0.002, p=0.000). Patients who learned about the SC clinic via network resources and other methods were more likely to succeed than those who learned about the clinic from their doctor or hospital publications (p=0.064, p=0.050).

CONCLUSIONS

Planning to quit smoking immediately or within 7 days of visiting the SC clinic and learning about the SC clinic via the network media or other methods improved the likelihood of successful SC. SC clinics and the harm of tobacco should be promoted via network media. During consultation, the smokers should be encouraged to quit smoking immediately and establish an SC plan, which would help them to quit smoking.

Within-person longitudinal associations between electronic nicotine delivery systems use and smoking cessation efforts among U.S. continuing adult cigarette smokers

OBJECTIVES

Prior studies that examined the role of electronic nicotine delivery systems (ENDS) use in smoking cessation have shown divergent conclusions. This study examined the time-course of ENDS-associated smoking abstinent behaviors among continuing cigarette smokers who were willing but unable to quit smoking.

METHODS

Data were drawn from the four waves of the Population Assessment of Tobacco and Health Study. Of the 1,684 smokers who tried to quit smoking completely at Wave 1, a total of 1,094 who were continuing smokers until Wave 4 and were not lost to follow-ups comprised the sample. Using generalized linear mixed modeling, we fitted weighted negative binomial regression models to examine within-person associations of ENDS use with quit attempts and number of days abstinent from smoking.

RESULTS

Quit attempt frequency and smoking abstinent days were highest at Wave 1, dropped at Wave 2, and then either increased a little or remained stagnant in later waves. ENDS use to quit smoking was associated with more frequent quit attempts (aIRR=1.67, 95% CI=1.42-1.95) and more abstinent days (aIRR=3.28, 95% CI=2.43-4.44), and the magnitude of such associations became stronger over time. ENDS use was associated with becoming a non-daily smoker among baseline daily smokers.

CONCLUSIONS

ENDS use among continuing smokers may help increase the number of quit attempts and smoking abstinent days. Given that the study sample is continuing smokers who failed in complete smoking cessation, future research would be desirable that evaluates whether such abstinent behaviors sustain and manifest harm reduction with improved health outcomes.

IMPLICATIONS

Smokers increasingly adopt electronic nicotine delivery systems (ENDS) to quit smoking. However, the association of ENDS use with smoking cessation efforts among continuing cigarette smokers who were willing but unable to quit smoking is largely unknown. This study found that quit attempts and smoking abstinent days increased with ENDS use to quit smoking by following up with population-representative continuing smokers. Additionally, this study assessed whether cigarette smokers' abstinent behaviors vary with their use of ENDS by estimating within-person associations with frequent assessments of both exposures and outcomes in a long-term perspective.

The Prevalence of Metabolic Syndrome and Health-Related Behavior Changes: The Korea National Health Examination Survey

This study was conducted to investigate the effect of health-related behavior changes on the prevalence of metabolic syndrome (MetS). This study utilized data from the Korea National Health Examination Survey of adults aged 40 or older who underwent health screening in 2011, 2013, and 2015. The prevalence of MetS was analyzed according to sex, age, income, residence location, and health-related behaviors by conducting multiple logistic regression analysis. For health-related behaviors, smoking, drinking, and physical activity were examined, and changes in health-related behaviors over five years from 2011 to 2015 were included in the analysis. The prevalence of MetS in Korea in 2015 was 31.7%. The prevalence showed statistically significant differences according to sex, age, income, location, and health-related behaviors. The prevalence was higher in men than in women and increased with aging. Regarding income, MetS prevalence was slightly higher in the middle-income groups compared with the lowest or the highest. Regarding location, MetS prevalence was lower in metropolitan areas compared to small- to medium-sized cities and farming/fishery rural areas. Regarding health-related behavior, MetS prevalence increased in the smoking, heavy drinking, and passive activity groups compared with the nonsmoking, moderate drinking, and active activity groups. Regarding health-related behavior change, MetS prevalence was higher by 22% in the short-term nonsmoking group (subjects who smoked in the past but not currently) compared to the continuous nonsmoking group. The risk for MetS also increased by 84.9% in the continuous heavy drinking group compared to the continuous moderate drinking group. Finally, the risk for MetS increased by 30.3% in the continuous passive physical activity group compared to the continuous active physical activity group. This study’s findings indicate the importance of maintaining healthy lifestyle habits to prevent MetS. In particular, the focus for change should be concentrated on short-term nonsmoking, continuous heavy drinking, and continuous passive physical activities to improve health-related behaviors.