Questionable Effects of Electronic Cigarette Use on Cardiovascular Diseases From the National Health Interview Survey (NHIS, 2014-2021).

BACKGROUND: Electronic cigarettes (e-cigarettes) and cardiovascular health risks have gained attention among tobacco researchers. While the cardiovascular risks from e-cigarettes are still unclear, a recent paper by Alzahrani in Cureus claimed that current usage of e-cigarettes increases the risks of cardiovascular diseases, such as myocardial infarction and stroke, in subjects who were never cigarette smokers. METHODS: The National Health Interview Survey (NHIS) data from 2014 to 2021 and logistic regression models were used to replicate and extend Alzahrani's analysis. RESULTS: Only 12 never smokers who were current e-cigarette users had a myocardial infarction in all eight years. The crude odds ratio (OR) for e-cigarette use was 0.42 (95%CI: 0.24, 0.75). After adjusting for age and other confounding factors and health conditions, the OR of e-cigarette use increased to 2.48 (95%CI: 1.35, 4.55). The omission of age while adjusting for all other risk factors resulted in an OR of 0.80 (95%CI: 0.45, 1.43). In addition, the adjusted ORs for coronary heart disease and stroke were 1.12 (95%CI: 0.58, 2.17) and 1.13 (95%CI: 0.55, 2.29), respectively. CONCLUSIONS: The findings indicate that Alzahrani's study is scientifically unreliable. The association between e-cigarette use and heart attack reported by Alzahrani was substantially driven by age, and the very small number of exposed cases makes the association very unstable. Given the nature of cross-sectional NHIS data, it is impossible to establish a robust association or causal claim that e-cigarette use "increases" the risks of any disease.

Why can't smokers quit? Longitudinal study of smokers in the US using the Population Assessment of Tobacco and Health (PATH) waves 1 to 5.

Introduction: Most adult cigarette smokers have tried unsuccessfully to quit. We followed participants in the Population Assessment of Tobacco and Health (PATH) study through five waves (2013-2019), comparing smoking, quit behaviors and other characteristics between persistent smokers and those who became and stayed former smokers. Methods: The main analysis employed treatment effects to estimate mean differences in smoking and quitting behaviors among smoker groups. Logistic models were used to estimate predicted means based on continuing smokers' demographic characteristics to ensure that any differences in outcomes did not come from differences in demographic characteristics. Results: Among smokers enrolled in PATH Wave 1, 68 % persisted in all subsequent waves. Compared with smokers who quit after Wave 1, persistent smokers had remarkably stable smoking behaviors, including significantly higher proportions of everyday smokers, consuming 10+ cigarettes per day, and smoking within 30 min of waking up. Persistent smokers were also less likely to try to quit completely, and experienced more negative symptoms from nicotine withdrawal. They also showed less interest in quitting and were less confident of being successful than smokers who quit by the next wave. Neither electronic nicotine delivery systems nor menthol played a role in continued smoking or quitting. Conclusions: The characteristics and behaviors of persistent smokers in this study were stable over five waves of data collection during a six-year period, suggesting that these smokers need new cessation options.

Mortality among male cigar and cigarette smokers in the USA.

BACKGROUND: Cigars and cigarettes are both smoked, but much less is known about the former's long-term health effects, due to its low prevalence and infrequent collection of cigar information in national surveys. PURPOSE: We conducted a follow-up mortality study of cigar-smoking men age 40-79 years in National Health Interview Surveys (NHIS). METHODS: We used pooled NHIS files linked to the National Death Index to obtain follow-up from year of interview to year of death or December 31, 2015. We developed categories of cigarette and cigar smoking that accommodate dual and former use of both products. We used Cox proportional hazards models, adjusted for age, race/ethnicity, marital status, education, income and region to estimate hazard ratios (HRs, 95% confidence intervals, CI) for mortality from all causes, heart diseases, malignant neoplasms, cerebrovascular disease, chronic lower respiratory diseases and two mutually exclusive categories: smoking-related and other diseases. RESULTS: There were 14,657 deaths from all causes, including 3426 never tobacco users, 3276 exclusive cigarette smokers and 176 exclusive cigar users. The latter had no statistically significant evidence of increased mortality from all causes, heart diseases, malignant neoplasms, cerebrovascular disease, smoking-related diseases or other causes. In contrast, the mortality experience of dual users of cigars and cigarettes and cigar smokers who formerly used cigarettes is similar to exclusive cigarette smokers. CONCLUSIONS: This study provides evidence that male cigar smokers age 40 + years had elevated mortality risks. However, after accounting for cigarette smoking and other confounding variables, we found significantly increased mortality only among dual and former users of cigarettes.

Heterogeneity and other problems in a pooled analysis of snus use and mortality.

A recent analysis of Swedish snus use and mortality combined eight Swedish datasets and found that exclusive Swedish male snus users have statistically significant increased mortality from all causes, cardiovascular diseases and other causes. These findings, from the Swedish Collaboration on Health Effects of Snus Use, are in sharp contrast with previous pooled results from the same group. The discrepant results may be indicative of unresolved statistical problems that haven't been addressed by the collaboration authors in any of their studies. The most important problem is unresolved heterogeneity among the eight cohorts, which we describe in detail, and we show how the use of the random effects method by the authors was not sufficient. We explain why the tables in the article are uninformative, and we demonstrate why the exclusion of smokers in the analysis was not validated and eliminated important information. Finally, we strongly recommend some straightforward and easily implemented corrective measures.

Initial Information on a Novel Nicotine Product.

BACKGROUND AND OBJECTIVES: This is the first study to assess the appeal and interest among adults in a new consumer tobacco product, ZYN. We also describe ZYN users, patterns of use, and reasons for use. METHODS: Two data sets, consisting of a ZYN-naive consumer panel (n = 5179) and ZYN users (n = 1266), were provided by Swedish Match North America. Descriptive, cross-sectional analyses and logistic regression assessed the perceptions of and likelihood of buying ZYN in the consumer panel and the characteristics of ZYN users. RESULTS: The majority of current smokeless tobacco (ST) users in the consumer panel found that ZYN was moderately-extremely appealing, while never and former tobacco users indicated much less interest; the former were more likely to buy ZYN than other groups. The highest percentage of ZYN users were former tobacco users (43%); very few were never users (4%). The most popular reason for using ZYN was "Less harmful to my health than other tobacco products," followed by "ease of use." DISCUSSION AND CONCLUSIONS: Nonusers of tobacco had very little interest in ZYN. ST users are not only more interested and likely to buy ZYN than other tobacco users, they were the largest group of regular users. SCIENTIFIC SIGNIFICANCE: The first assessment of a new nicotine product, ZYN, suggests that current and former tobacco users may perceive ZYN as a reduced-risk product. ZYN potentially could be used as a smoking/tobacco-cessation aid based on reasons of current users. (Am J Addict 2020;00:00-00).

Mortality among male smokers and smokeless tobacco users in the USA.

BACKGROUND: One published study simultaneously reported the mortality associated with cigarette smoking and smokeless tobacco (ST) use in the USA. In this study, we focus only on men ages 40-79 years old and extend the follow-up by 4 years. METHODS: We used selected years (1987-2010) of National Health Interview Survey (NHIS) Linked Mortality Files to classify 46,104 men age 40-79 years with respect to 7 categories of smoking and/or ST use. We used Cox proportional hazards models adjusted for age, race/ethnicity, marital status, education, income, health status, body mass index, and region to estimate hazard ratios (HRs; 95% confidence intervals, CI) for mortality from all causes, heart diseases, malignant neoplasms, and two mutually exclusive categories: smoking-related and other diseases. RESULTS: There were 15,540 deaths from all causes, including 3476 never tobacco users, 4782 exclusive smokers, and 210 exclusive ST users. The latter had significant excess mortality from all causes (HR = 1.25, CI = 1.08-1.46), but not from heart diseases (HR = 1.16, CI = 0.85-1.59), malignant neoplasms (HR = 1.17, CI = 0.83-1.67), and all smoking-related diseases (HR = 1.19, CI = 0.97-1.46). However, they had higher mortality for all other causes (1.39, CI = 1.10-1.74), which was largely seen in age 40-59 years (HR = 1.68, CI = 1.11-2.54). Current smokers, with or without ST use, also had significantly elevated HRs for other causes (1.70 and 1.57, respectively), in addition to significant increases in mortality from heart diseases (1.98 and 2.00), malignant neoplasms (2.60 and 2.84), and all smoking-related diseases (2.32 and 2.47). CONCLUSIONS: This is the first simultaneous mortality follow-up study of older American male smokers and ST users. ST users did not have excess mortality from any smoking-related diseases, but younger users had an elevation in deaths from other causes.

E-cigarette Use Among US Adults: Population Assessment of Tobacco and Health (PATH) Study.

Introduction: In 2011 the US Food and Drug Administration launched the Population Assessment of Tobacco and Health (PATH) Study to gather information for regulatory activities authorized by the Family Smoking Prevention and Tobacco Control Act (TCA). Methods: Data were drawn from the first wave of the PATH survey, involving interviews of 32 320 civilian and non-institutionalized adults. In addition to conventional classifications for current, former and never smoking and e-cigarette use, we used PATH questions to classify former and current triers of these products. Descriptive statistics were used to describe the prevalence, patterns of, and reasons for e-cigarette use, and the perceptions of nicotine and e-cigarettes among user groups, according to smoking status. Results: The prevalence of current smoking was 18%; an additional 3.1% of participants were current triers. The prevalence of current e-cigarette use was 2.4% (1.0% every day, 1.4% some days), with another 3.2% as current triers. The majority of nonsmokers who were current e-cigarette users were already current (56%) or former (34%) cigarette triers. Reasons for e-cigarette use were similar across subgroups, but patterns of use were different. Majorities of participants believed that nicotine is the main substance driving tobacco use, that nicotine causes most cancers, and that e-cigarettes were less harmful than cigarettes. Conclusions: E-cigarettes were used primarily by current smokers and recent former smokers. The main reasons for use center around perceptions that e-cigarettes are less harmful than cigarettes to users and others. Implications: This study reports detailed information about the prevalence, patterns of, and reasons for e-cigarette use in the first (baseline) wave of the PATH Study in 2014. In addition to conventional categories for current, former and never smoking and e-cigarette use, the PATH questionnaire facilitated classification of new usage groups consisting of current and former triers of these products, which may impact prevalence estimates.

Quit Methods Used by American Smokers, 2013-2014.

This report describes the quit methods used in the past 12 months by current and former smokers in the baseline Population Assessment of Tobacco and Health (PATH) Study during 2013-2014. Descriptive statistics were used to report the use of single and two or more quit methods; survey weights were used to compute population estimates. Logistic regression was used to estimate the association between past year former smokers and single quit method, including individual characteristics. RESULTS: Of 11,402 current smokers and 4919 former smokers, 4541 had tried and 839 had quit in the past 12 months. Unaided quit attempts were the most common; the number was almost as high as all single methods combined (n = 1797 and n = 1831 respectively). The most frequently used single method was help from friends and family (n = 676) followed by e-cigarettes (n = 587). Use of e-cigarettes was the only method with higher odds of users being a former smoker than unaided attempts (OR = 1.42, 95% CI 1.12-1.81). Current use of e-cigarettes among current (34%) and former (54%) smokers was significantly higher than current use of nicotine replacement therapy (NRT). CONCLUSIONS: In 2013-2014 e-cigarettes were used by American adult smokers as quit-smoking aids more frequently than NRT products or prescription drugs.

The Effect of Smoking on Mental Health.

OBJECTIVES: The disproportionately high smoking prevalence among persons with mental health problems has raised a concern that this population is at increased risk for smoking-related illness. We investigated the effect of smoking on mental health among US adults aged 18 and older using the 2000-2010 Behavioral Risk Factor Surveillance System (BRFSS). METHODS: Whereas previous literature has reported a significant association between smoking and mental health, identifying the causal pathway is difficult. To address the plausible reverse causality from mental health to smoking and omitted unobserved factors, we employ the method of instrumental variables (IV) by using state cigarette excise tax as an instrument for smoking. RESULTS: Our findings show that smoking increases the number of days with poor mental health especially among individuals with more severe illness (more than 14 days in the past month). CONCLUSIONS: Our estimates suggest that smoking causes poor mental health and its effects are concentrated for measures that indicate more severe problems. Public health policies that aim to reduce smoking also may reduce poor mental health.

Associations of Proposed Relative-Risk Warning Labels for Snus With Perceptions and Behavioral Intentions Among Tobacco Users and Nonusers.

INTRODUCTION: The US Food and Drug Administration can require changes in warning statements for modified risk tobacco products. We report an independent analysis of a consumer perception survey sponsored by Swedish Match as part of a Modified Risk Tobacco Product application to change warning labels for Swedish snus products. METHODS: The survey exposed each of 4324 daily exclusive cigarette smokers, 1033 daily smokeless tobacco users, 1205 daily other tobacco users, 726 former users, and 5915 triers/never users to one of four current warnings and two proposed relative-risk labels (No tobacco product is safe, but this product presents lower risks to health than cigarettes, or No tobacco product is safe, but this product presents substantially lower risks to health than cigarettes) for snus. Descriptive and logistic regression analyses examined four outcomes: believability, harmfulness, motivation to use, and intention to buy snus. RESULTS: Compared with the current not-safe-alternative warning, adult tobacco users who viewed the proposed labels perceived them as less believable, perceived snus as less harmful and were more likely to use and buy snus. The proposed labels had no impact on former smokers' likelihood to use and buy snus; triers/never users viewing the substantially lower risk label were more likely to buy snus. CONCLUSIONS: Tobacco users viewing the proposed labels perceived snus as less harmful than cigarettes and may be more likely to use and buy snus. If labeling changes lead to increased snus use and cigarette reduction or abstinence, public health may benefit. If the opposite occurs, public health could suffer.

Time to First Use Among Daily Smokers and Smokeless Tobacco Users.

INTRODUCTION: Time to the first cigarette after waking up in the morning is the most validated measure of dependence among smokers, and its complement is also a good indicator of dependence for smokeless tobacco (ST) users. However, no studies have directly compared these measures. METHODS: We used a multivariate logistic regression model to compare the time to first use (TTFU) of cigarettes and ST among white men 18+ years of age who were daily users in the 2003 Tobacco Use Supplement of the Current Population Survey. Smokers were classified as light (1-14 cigarettes per day [cpd]), moderate (15-24 cpd), and heavy (25+ cpd) and ST users were classified as former smokers or exclusive users. RESULTS: There was no difference in TTFU within 5min between light smokers and exclusive ST users (Odds ratio [OR] = 1.3, CI = 0.95-1.7), but the latter were less likely to use tobacco within 30min (OR = 0.75, CI = 0.62-0.89). ST former smokers were more likely than light smokers to have a TTFU within 5min (OR = 1.5, CI = 1.1-2.0) but not within 30min. Moderate and heavy smokers had significantly higher odds of TTFU within both time points than light smokers. CONCLUSION: Compared to light smokers, the likelihood of TTFU within 5min was similar among exclusive ST users and was slightly higher among ST former smokers, offering some support for the Fagerström-Eissenberg hypothesis that the dependence level of cigarettes is higher than that of ST.

The association of smoking and demographic characteristics on body mass index and obesity among adults in the U.S., 1999-2012.

BACKGROUND: The National Health and Nutrition Examination Surveys (NHANES) are an exceptional data source for studies of smoking and body weight because they are the only federal survey series collecting relevant information through detailed interviews and medical examinations. The associations of smoking status and demographic factors with body weight have not been evaluated fully in recent NHANES. METHODS: Using NHANES datasets from 1999 to 2012, this study uses ordinary-least squares and ordered probit models to investigate the association of smoking and selected demographic variables with body mass index (BMI) and the probability of being in BMI categories among adults aged 25-64 years, and it uses quantile regression to examine whether these factors affect individuals differently depending on where they are located across the BMI distribution. RESULTS: The sample consisted of 11,123 men and 10,949 women. Current smokers had significantly lower BMI than never smokers (1.97 unit for men and 1.46 unit for women), and there was modest variation across the BMI distribution. Among former smokers, only women had a slightly higher BMI compared to never smokers (0.46 unit). Both men and women current smokers were more likely to be underweight and normal weight compared to never smokers and were less likely to be obese. Among men a one-year age increase elevated BMI by 0.2 unit throughout the BMI distribution, while for women an extra year of age increased BMI at the upper tail of the distribution more than at the lower tail. Education beyond high school was associated with a significant decrease in BMI among women, but much less so among men. Married men had higher BMI, but married women had significantly lower BMI, and this difference became larger at the upper tail. CONCLUSIONS: Compared to never smokers, men and women current smokers had lower BMI and lower probability of obesity, while only women former smokers had elevated BMIs and increased probability of obesity. In addition, we found that age, education and marital status were associated with different effects on BMI in men and women.