Changes In Cigarette Smoking Research Articles

Implementation of the Article 13 WHO FCTC measures and changes in cigarette smoking among youth in 42 countries

IntroductionDespite a decline in global smoking prevalence among adolescents, around 21 million youth report current cigarette smoking. Exposure to tobacco advertising, promotion and sponsorship (TAPS) is a risk factor for...

Impact of COVID-19 on Patterns of Cigarette Smoking among Adult Smokers in Bangladesh

Background: Bangladesh is a country with high prevalence of smoking which is a contributing factor to cause respiratory diseases. The situation of COVID-19 has become threatening physically for smokers as it is also a respiratory related disease and it can also help altering smoking behaviour because of perception towards this pandemic. Objective: The objectives of this study were to investigate changes in cigarette smoking behaviour during COVID-19 among the adult smokers of Bangladesh according to perception towards COVID-19, and assess association between changes in cigarette smoking behaviour and perception towards COVID-19. Methodology: An online descriptive cross-sectional study was conducted during 16 April, 2021 to 30 April, 2021 using anonymous Google form. Only adult Bangladeshi cigarette smokers were included in this study. Descriptive and co-relational analyses were conducted using SPSS-28.0. Results: Among 373 valid responses, 259(69.43%) reported change in smoking behaviour during COVID-19. Some 313(83.91%) cigarette smokers perceived risk of being infected by COVID-19 and 30(8.04%) smokers were infected by COVID-19. Many (187, 50.13%) participants perceived that smokers have higher risk of contracting infection. In addition, 292(78.28%) smokers believed that smoking can cause more complications if infected, 182(48.79%) felt worried about their smoking behaviour and 225(60.32%) participants thought of lessening smoking during COVID-19. Majority (229, 61.39%) of the respondents tried to quit smoking. Patterns of change in cigarette smoking during COVID-19 were significantly associated with both perceived risks of higher contractibility (p=.001) and higher physical complications (p=.004). Conclusion: Percentage of people with changed smoking behaviour during COVID-19 was very high. Perception towards adverse impact of COVID-19 on smoking behaviour may lead to this change. Journal of Monno Medical College, June 2023; 9 (1): 24-29

Naltrexone plus bupropion reduces cigarette smoking in individuals with methamphetamine use disorder: A secondary analysis from the CTN ADAPT-2 trial

IntroductionMethamphetamine (MA) use is marked by high rates of comorbid tobacco smoking, which is associated with more severe drug use and worse clinical outcomes compared to single use of either drug. Research has shown the combination of naltrexone plus oral bupropion (NTX-BUP) improves smoking cessation outcomes in non-MA-using populations. In the Accelerated Development of Additive Pharmacotherapy Treatment (ADAPT-2) study, NTX-BUP successfully reduced MA use. Our aim in this secondary data analysis was to examine changes in cigarette smoking among the subgroup of participants reporting comorbid tobacco use in the ADAPT-2 trial. MethodsThe multi-site ADAPT-2 study used a randomized, double blind, sequential parallel comparison design to evaluate treatment with extended-release injectable NTX (380 mg every 3 weeks) combined with once-daily oral extended-release BUP (450 mg/day) vs matching injectable and oral placebo in outpatients with moderate or severe MA use disorder. The study assessed smoking outcomes, based on self-reported timeline followback (TLFB) data, twice/week for 13 weeks. ResultsOf the 403 participants in the ADAPT-2 trial, 290 reported being current cigarette smokers (71.9 %). The study found significant differences (p's < 0.0001) for each smoking outcome indicating greater change in the proportion of nonsmoking days, number of cigarettes smoked per week, and consecutive nonsmoking days, all favoring the group receiving NTX-BUP versus placebo. ConclusionsNTX-BUP was associated with significant reductions in self-reported cigarette smoking in the context of concurrent treatment for MA use disorder. These off-target medication effects warrant prospective investigation using biochemically confirmed measures of smoking abstinence. The development of NTX-BUP as a co-addiction treatment strategy has a potential for high public health impact.

Respiratory Exposure to Thirdhand Cigarette Smoke Increases Concentrations of Urinary Metabolites of Nicotine.

The aims of this study were to characterize particle size in a thirdhand smoke (THS) aerosol and measure the effects of controlled inhalational exposure to THS on biomarkers of tobacco smoke exposure, inflammation, and oxidative stress in human subjects. Secondhand cigarette smoke changes physically and chemically after release into the environment. Some of the resulting chemicals persist indoors as thirdhand cigarette smoke. THS that is sorbed to surfaces can emit particles back into the air. Smoke particle size was measured with a scanning mobility particle sizer and condensation particle counter. Using a crossover study design, 18 healthy nonsmokers received a 3-hour inhalational exposure to THS and to filtered, conditioned air. THS was generated with a smoking machine and aged overnight in a chamber. The chamber was flushed with clean air to create the THS aerosol. The tobacco smoke metabolites cotinine, 3-hydroxycotinine and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) were measured in urine. Vascular endothelial growth factor and interleukin-6 in plasma, and 8-isoprostane in urine, were measured using enzyme-linked immunosorbent assay kits. Mean smoke particle size increased with aging (171 to 265 nm). We found significant increases in urinary cotinine and 3-hydroxycotinine after 3 hours of exposure to THS and no significant increases in NNAL, interleukin-6, vascular endothelial growth factor or 8-isoprostane. Acute inhalational exposure to 22-hour old tobacco smoke aerosol caused increases in the metabolites of nicotine but not the metabolites of the tobacco-specific nitrosamine NNK (4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanone). This corroborates the utility of cotinine and NNAL for secondhand and THS exposure screening. This study shows that a 3-hour inhalational exposure to the tobacco smoke aerosol that forms in a room that has been smoked in and left unventilated overnight causes increases in urinary metabolites of nicotine, but not of the tobacco-specific nitrosamine NNK. This suggests that cleaning personnel and others who live and work in rooms polluted with aged or thirdhand cigarette smoke regularly may have inhalational exposures and potential health effects related to their exposure to nicotine and other smoke toxicants.

Illuminating a Path Forward for Tobacco Nation: Projected Impacts of Recommended Policies on Geographic Disparities.

This study quantifies the impacts of strengthening 2 tobacco control policies in "Tobacco Nation," a region of the United States (U.S.) with persistently higher smoking rates and weaker tobacco control policies than the rest of the US, despite high levels of support for tobacco control policies. We used a microsimulation model, ModelHealthTM:Tobacco, to project smoking-attributable (SA) outcomes in Tobacco Nation states and the U.S. from 2022 to 2041 under 2 scenarios: (1) no policy change and (2) a simultaneous increase in cigarette taxes by $1.50 and in tobacco control expenditures to the CDC-recommended level for each state. The simulation uses state-specific data to simulate changes in cigarette smoking as individuals age and the health and economic consequences of current or former smoking. We simulated 500 000 individuals for each Tobacco Nation state and the U.S. overall, representative of each population. Over the next 20years, without policy changes, disparities in cigarette smoking will persist between Tobacco Nation and other U.S. states. However, compared to a scenario with no policy change, the simulated policies would lead to a 3.5% greater reduction in adult smoking prevalence, 2361 fewer SA deaths per million persons, and $334M saved in healthcare expenditures per million persons in Tobacco Nation. State-level findings demonstrate similar impacts. The simulations indicate that the simulated policies could substantially reduce cigarette smoking disparities between Tobacco Nation and other U.S. states. These findings can inform tobacco control advocacy and policy efforts to advance policies that align with evidence and Tobacco Nation residents' wishes.

Impact of the e-cigarette era on cigarette smoking among youth in the United States: A population-level study

To examine and compare trends in past 30-day cigarette smoking among adolescents in the US from 2002 to 2019, before and after the onset of the "e-cigarette era" in 2014. Using National Youth Tobacco Survey (NYTS) data from 2002 to 2019, we modeled the prevalence of past 30-day cigarette smoking over time. A total of n=274,551 (weighted N=340,403,754) middle and high school students were included in this study. Interrupted time series analyses were used to examine changes in cigarette smoking over time and compare trends in cigarette smoking pre- and post-2014. Models were applied to the full sample and stratified by middle (6th-8th grade) and high school (9th-12th grade). The observed number of current adolescent cigarette smokers post-2014 was compared to the predicted number, given trends in cigarette smoking prevalence observed pre-2014. Among all students, past 30-day cigarette smoking declined by approximately 0.75% per year from 2002 to 2013 (p<0.001). Following a significant drop in prevalence from 2013 to 2014 (1.64%; p<0.001), the decline in past 30-day cigarette smoking slowed significantly to approximately 0.37% per year (p<0.001), from 2015 to 2019. We estimate that the onset of the "e-cigarette era" in 2014 corresponded to over 1.66 million (95% CI: 1.57m - 1.75m) more past 30-day cigarette smokers from 2015 to 2019, cumulatively. The rate of decline in past 30-day cigarette smoking prevalence among adolescents observed since 2002 slowed with the onset of the "e-cigarette era" in 2014, providing evidence at a population-level for the "gateway effect."

Changes in Cigarette Smoking and Smokeless Tobacco Use During the Coronavirus Disease 2019 Lockdown Period Among Youth and Young Adults in Denmark.

IntroductionCigarettes and smokeless tobacco (snus and nicotine pouches) are prevalent among youth and young adults in Denmark. Here, we examined the extent of changes in the use of cigarettes and smokeless tobacco during the first COVID-19 lockdown in March and April 2020 in Denmark as well as reasons for changed behavior.MethodsThis study used data from a nationwide survey conducted among 15- to 29-year-olds from January to March 2021 including 13,530 respondents (response rate = 36.0%). Logistic regression analyses assessed the associations between sociodemographic characteristics and the odds of initiating or increasing as well as trying to stop or decreasing cigarette smoking and smokeless tobacco use.ResultsThe prevalence of cigarette smoking was 17.8% and 10.5% reported using smokeless tobacco. Around 40% of those currently smoking cigarettes reported smoke on par during the COVID-19 lockdown as before, 24.5% started to smoke or increased their smoking, and 27.4% tried to stop or smoked less. Approximately 37% used smokeless tobacco on the same level as before the COVID-19 lockdown, 38.8% initiated or used more, and 14.1% tried to stop or used less. Females were more prone to initiate smokeless tobacco use and increase their level of smoking during the lockdown, and younger participants smoked less. More females compared with males changed their smoking behaviors due to their mood, and more younger participants did so due to fewer social gatherings.ConclusionAlthough most youths and young adults’ tobacco behaviors remained the same during the COVID-19 lockdown, many also increased or decreased their behaviors – especially females and younger participants.ImplicationsThis study enables the possibility of detecting new tendencies in smoking and the use of smokeless tobacco among subgroups of the population during the COVID-19 lockdown. This knowledge is crucial for identifying which groups of youths are vulnerable to increasing their tobacco use in other pandemic situations and which groups call for special attention after the lockdown period. Future efforts may focus on vulnerable groups affected by the COVID-19 pandemic, such as females, and there is a need to monitor closely whether youth tobacco use changes as society becomes more normalized.

Transitions between tobacco products: Correlates of changes in cigarette smoking and e-cigarette use among exclusive adult smokers and dual users in Mexico

This study examined transitions in tobacco products use among Mexican smokers and dual users. Data were analyzed from exclusive smokers (n = 2,946) and dual users (n = 1,643) recruited from an online consumer research panel and surveyed every-four months from November 2018 to April 2021. For exclusive smokers, estimated transitions were (time “t + 1” four months after prior survey): a) remain as exclusive smokers; b) dual use; c) exclusive e-cigarette use or quit both products. Among dual users, transitions analyzed were: a) remain as dual user; b) exclusive smoker; c) exclusive e-cigarette user or quit both products. Multinomial models regressed transitions at “t + 1” on time “t” for control variables. Most exclusive smokers (81%) remained as such, 12.6% transitioned to dual use, 2.3% to exclusive e-cigarette use, and 4% quitted both products. Exclusive smokers were more likely to transition to dual use if they recently attempted to quit (AOR = 1.45) or had partners/family or friends who used e-cigarettes (AOR = 2.47 & 2.56 respectively). Most dual users (74.8%) remained as dual users, 20.4% transitioned to exclusive smoking, 1.6% transitioned to exclusive e-cigarette use, and 3.2% quitted both products. Dual users were more likely to transition to exclusive smoking if they had lower educational attainment, recently attempted to quit e-cigarettes (AOR = 1.70). Having friends who use e-cigarettes (AOR = 0.29) and higher smoking dependence (AOR = 0.55) were associated with a lower likelihood of quitting. Recent quit attempts and e-cigarette use among close social network members may explain the short-term transitions, though longer follow-up is needed to assess sustained smoking cessation.

The Changing Patterns and Correlates of Adolescent Substance Use in China’s Special Administrative Region of Macau

Most of the research on adolescent substance use is from either the U.S, Europe, or other non-Eastern countries, but very little attention is paid to that in the Greater China Region. As a special administrative region of China, Macau is known for its gambling industry, its proximity to the Golden Triangle, and its lenient drug laws, all of which can be conducive to high-level drug use in the population, including its adolescents. Yet, the extent and patterns of adolescent substance use in Macau are not well understood. Using the data collected from two large representative samples of secondary school students in 2014 and 2018, this study provided population-based estimates of the prevalence rates of lifetime and past 30-day substance use among Macau adolescents in the two separate survey years. By comparing the two sets of estimates, it established the patterns of changes in cigarette smoking, alcohol use, and illicit drug use among adolescents in Macau during the period. Additionally, through the analysis of the data in the latest year, it identified risk factors for adolescent substance use in the special administrative region. Among the key results, the rates of cigarette smoking and illicit drug use were low to moderate while the rates of alcohol use were relatively high; cigarette smoking decreased during the period, but alcohol use and illicit drug use remained stable; Macau adolescents shared similar risk factors for substance use with adolescents elsewhere, but unique circumstances might exist to influence their alcohol consumption.

Racial Discrimination, Mental Health and Behavioral Health During the COVID-19 Pandemic: a National Survey in the United States.

BackgroundWhile hate crimes rose during the COVID-19 pandemic, few studies examined whether this pandemic-time racial discrimination has led to negative health consequences at the population level.ObjectiveWe examined whether experienced and perceived racial discrimination were associated with mental or behavioral health outcomes during the pandemic.DesignIn October 2020, we conducted a national survey with minorities oversampled that covered respondents’ sociodemographic background and health-related information.ParticipantsA total of 2709 participants responded to the survey (response rate: 4.2%).Main MeasuresThe exposure variables included (1) experienced and encountered racial discrimination, (2) experienced racial and ethnic cyberbullying, and (3) perceived racial bias. Mental health outcomes were measured by psychological distress and self-rated happiness. Measures for behavioral health included sleep quality, change in cigarette smoking, and change in alcohol consumption. Weighted logistic regressions were performed to estimate the associations between the exposure variables and the outcomes, controlling for age, gender, race and ethnicity, educational attainment, household income, eligibility to vote, political party, COVID-19 infection, and geographic region. Separate regressions were performed in the six racial and ethnic subgroups: non-Hispanic White, non-Hispanic Black, Hispanic, East Asian, South Asian, and Southeast Asian respondents.Key ResultsExperienced racial discrimination was associated with higher likelihood of psychological distress (adjusted odds ratio [AOR] = 2.18, 95% confidence interval [95% CI]: 1.34–3.55). Experienced racial discrimination (AOR = 2.31, 95% CI: 1.34–3.99) and perceived racial bias (AOR = 1.05, 95% CI: 1.00–1.09) were both associated with increased cigarette smoking. The associations between racial discrimination and mental distress and substance use were most salient among Black, East Asian, South Asian, and Hispanic respondents.ConclusionsRacial discrimination may be associated with higher likelihood of distress, and cigarette smoking among racial and ethnic minorities. Addressing racial discrimination is important for mitigating negative mental and behavioral health ramifications of the pandemic.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11606-022-07540-2.

Trajectories of e-cigarette advertising exposure, e-cigarette use and cigarette smoking in a sample of young adults from Hawaii.

To test whether intrapersonal growth in e-cigarette advertising exposure over time is associated with growth in e-cigarette use and/or cigarette smoking. Longitudinal study using four waves of data were collected in 6-month intervals between 2018 and 2020. Participants were 2327 young adults recruited from colleges in Hawaii, USA. Data were collected on demographics, e-cigarette advertising exposure measured using the cued- recall method and recent (past 30-day) cigarette and e-cigarette use. The average trajectory for e-cigarette advertising exposure over time was significant and upward [M slope = 0.18 (0.14-0.22), P < 0.0001]. However, average trajectories for e-cigarette [M slope = -0.08 (-0.18 to 0.02), P = 0.09] and cigarette [M slope = -0.14 (-0.30 to 0.02), P = 0.07] use were not. There were significant differences in individual level trajectories across participants for advertising exposure [σ2 = 0.12 (0.10-0.14), P < 0.0001], e-cigarette use [σ2 = 0.22 (0.14-0.30), and cigarette smoking (σ2 = 0.17 [0.09-0.25], P < 0.0001). Individuals with an increasing rate of advertising exposure showed an increasing rate of e-cigarette use [B = 0.63 (0.36-0.90), P < 0.0001). Neither initial level of, nor rate of change in, advertising exposure was significantly associated with cigarette smoking growth factors (P > 0.05). Higher initial level of e-cigarette use was associated with higher initial level of cigarette smoking [B = 0.89 (0.69-1.09), P < 0.0001] but decreased rate of cigarette smoking over time [B = -0.12 (-0.20 to -0.04) P = 0.003]. Rate of change in e-cigarette use was not associated with the rate of change in cigarette smoking (P > 0.05). Increased exposure to e-cigarette advertising appears to be associated with increased e-cigarette use but not with increased cigarette smoking. Higher initial level of e-cigarette use appears to be associated with higher initial level of cigarette smoking but may be associated with a decreasing rate of cigarette smoking over time.

Changes in Cigarette Smoking and Vaping in Response to the COVID-19 Pandemic in the UK: Findings from Baseline and 12-Month Follow up of HEBECO Study.

This study investigated UK adults’ changes in cigarette smoking and vaping during the COVID-19 pandemic and factors associated with any changes. Data were from an online longitudinal study. A self-selected sample (n = 332) of 228 smokers and 155 vapers (51 participants were both smokers and vapers) completed 5 surveys between April 2020 and June 2021. Participants self-reported data on sociodemographics, COVID-19-related, and smoking/vaping characteristics. During the 12 months of observations, among smokers, 45% self-reported a quit attempt (27.5% due to COVID-19-related reasons) since the onset of COVID-19 pandemic and the quit rate was 17.5%. At 12 months, 35.1% of continuing smokers (n = 174) reported smoking less and 37.9% the same, while 27.0% reported an increase in the number of cigarettes smoked/day. Among vapers, 25.0% self-reported a quit attempt (16.1% due to COVID-19-related reasons) and the quit rate was 18.1%. At 12 months, 47.7% of continuing vapers (n = 109) reported no change in the frequency of vaping/hour, while a similar proportion reported vaping less (27.5%) and more (24.8%). Motivation to quit smoking and being younger were associated with making a smoking quit attempt and smoking cessation. Being a cigarette smoker was associated with vaping cessation. Among a self-selected sample, COVID-19 stimulated more interest in reducing or quitting cigarette smoking than vaping.

Examining Menthol Preference as a Correlate of Change in Cigarette Smoking Behavior over a One-Year Period.

Menthol cigarette use has been shown to be a contributing factor in the changes in smoking over time among youth. The current study aim was to use prospective survey data to identify if menthol cigarette use was associated with changes in smoking among adults. A representative cohort from the 2010 U.S. Tobacco Use Supplement to the Current Population Survey was interviewed at two time points one year apart. Respondents were past-30-day cigarette smokers at Wave 1 or Wave 2 categorized by menthol vs. non-menthol flavor preference (n = 3668). Trajectories were categorized as maintained, increased, or decreased smoking behavior between Waves. Multinomial logistic regressions examined if menthol cigarette use was associated with an increase/decrease in smoking behavior, adjusting for age, race/ethnicity, and sex. Menthol cigarette use was not associated with change over time in cigarette smoking in adult smokers. Age, race/ethnicity and sex were associated with changes in cigarette smoking. Young (vs. older) adults were more likely to increase smoking. Black and Hispanic smokers (vs. white smokers) were more likely to report any change in smoking. Males were less likely than females to change smoking behavior. Menthol status was not associated with changes in smoking among adults; however, young age, race/ethnicity, and sex were, suggesting populations to target for intervention.

Smoking and E-Cigarette Use Among U.S. Adults During the COVID-19 Pandemic

IntroductionWith concerns about tobacco use being a risk factor for severe disease from COVID-19, understanding nicotine- and tobacco-use patterns is important for preventive efforts. This study aims to understand changes in combustible cigarette and E-cigarette use among U.S. adults.MethodsIn August 2020, a cross-sectional survey of a nationally representative sample of adults aged ≥18 years in the National Opinion Research Center's AmeriSpeak Panel who reported past 6–month use of combustible cigarettes or E-cigarettes was conducted. Multivariable logistic regression assessed the factors associated with increased product use and quit attempts since hearing about COVID-19.ResultsA total of 1,024 past 6–month cigarette smokers/E-cigarette users were surveyed. Among cigarette smokers, 45% reported no change in cigarette smoking, and 33% reported increased cigarette smoking since hearing about COVID-19. Higher stress was associated with increased cigarette smoking. Among E-cigarette users, 41% reported no change in E-cigarette use, and 23% reported increasing E-cigarette use. A total of 26% of cigarette smokers and 41% of E-cigarette users tried to quit because of COVID-19. Higher perceived risk of COVID-19 was associated with attempts to quit combustible cigarettes (AOR=2.37, 95% CI=1.59, 3.55) and E-cigarettes (AOR=3.14, 95% CI=1.73, 5.70).ConclusionsCigarette and E-cigarette use patterns varied in response to the COVID-19 pandemic. Most cigarette smokers and E-cigarette users perceived product use as increasing COVID-19‒related health risks, and this was associated with attempts to quit. Some cigarette smokers, especially those reporting higher stress, increased product use. Proactive provision of cessation support to smokers and E-cigarette users may help mitigate the stress-related increases in product use during the COVID-19 pandemic.

Longitudinal Associations Between Changes in Cigarette Smoking and Alcohol Use, Eating Behavior, Perceived Stress, and Self-Rated Health in a Cohort of Low-Income Black Adults.

Black adults in the U.S. experience significant health disparities related to tobacco use and obesity. Conducting observational studies of the associations between smoking and other health behaviors and indicators among Black adults may contribute to the development of tailored interventions. We examined associations between change in cigarette smoking and alcohol use, body mass index, eating behavior, perceived stress, and self-rated health in a cohort of Black adults who resided in low-income urban neighborhoods and participated in an ongoing longitudinal study. Interviews were conducted in 2011, 2014, and 2018; participants (N = 904) provided at least two waves of data. We fit linear and logistic mixed-effects models to evaluate how changes in smoking status from the previous wave to the subsequent wave were related to each outcome at that subsequent wave. Compared to repeated smoking (smoking at previous and subsequent wave), repeated nonsmoking (nonsmoking at previous and subsequent wave) was associated with greater likelihood of recent dieting (OR = 1.59, 95% CI [1.13, 2.23], p = .007) and future intention (OR = 2.19, 95% CI [1.61, 2.98], p < .001) and self-efficacy (OR = 1.64, 95% CI [1.21, 2.23], p = .002) to eat low calorie foods, and greater odds of excellent or very good self-rated health (OR = 2.47, 95% CI [1.53, 3.99], p < .001). Transitioning from smoking to nonsmoking was associated with greater self-efficacy to eat low calorie foods (OR = 1.89, 95% CI [1.1, 3.26], p = .021), and lower perceived stress (β = -0.69, 95% CI [-1.34, -0.05], p = .036). We found significant longitudinal associations between smoking behavior and eating behavior, perceived stress, and self-rated health. These findings have implications for the development of multiple behavior change programs and community-level interventions and policies.

Cannabis Use During the Pre-Conception Period and Pregnancy After Legalization

There is limited evidence of the impact of cannabis legalization on the prevalence of cannabis use and use of other substances. The aim of this exploratory observational study was to compare rates of cannabis use, cigarette smoking, alcohol consumption, and the use of any street drugs during the preconception period and in pregnancy in two convenience samples of pregnant persons in British Columbia, Canada, before and after the legalization of cannabis. Any pregnant person residing in British Columbia, aged >19 years, at any gestational age was eligible to participate. Pre- and post-legalization study participants were recruited between May and October 2018 and July 2019 and May 2020, respectively. Multivariate models were constructed to examine the effect of legalization on cigarette smoking and the use of cannabis, alcohol, and street drugs, adjusting for demographic, pre-pregnancy, and pregnancy confounders. From pre- to post-legalization, the prevalence of self-reported cannabis use during the preconception period increased significantly, from 11.74% (95% CI 9.19%-14.88%) to 19.38% (95% CI 15.45%-24.03%). Rates of cannabis use during pregnancy also increased from 3.64% (95% CI 2.32%-5.69%) before legalization to 4.62% (95% CI 2.82%-7.47%) after; however, this difference was not statistically significant. Adjusting for potential confounders, the post-legalization group had significantly higher odds of cannabis use during the preconception period (adjusted odds ratio 1.71; 95% CI 1.14-2.58) but not during pregnancy (adjusted odds ratio 1.66; 95% CI 0.75-3.65). Legalization was also not associated with significant changes in cigarette smoking, alcohol consumption, or the use of street drugs during the preconception period and pregnancy, after adjusting for potential confounders. The preliminary evidence presented in this study shows that the legalization of cannabis was associated with 71% higher odds of cannabis use during the preconception period. Studies examining the effects of cannabis use on perinatal outcomes, as well as public health interventions and educational programs related to cannabis use, should include the preconception period as an area of focus.

Association of Electronic Nicotine Delivery System Use With Cigarette Smoking Progression or Reduction Among Young Adults

The prevalence of electronic nicotine delivery systems (ENDS) use, including e-cigarettes, among US young adults (YAs) has raised questions about how these products may affect future tobacco and nicotine use among YAs. Given this prevalence and that young adulthood is a critical period for the establishment of tobacco and nicotine use, it is important to consider the association between ENDS use and cigarette smoking specifically in this age group. To examine whether ENDS use frequency or intensity is associated with changes in cigarette smoking among US YA ever smokers during 1 year. This cohort study used 3 waves of data (2013-2014, 2014-2015, and 2015-2016) from the Population Assessment of Tobacco and Health (PATH) Study, an ongoing longitudinal cohort study of adults and youth. Unweighted 1:6 propensity score matching was used to match participants on wave 1 risk factors for ENDS use at wave 2. The changes in smoking between wave 2 and wave 3 were assessed using the matched sample. In total, 1096 ENDS-naive, ever cigarette-smoking YAs (18-24 years of age) at wave 1 who participated in wave 2 and wave 3 and who had complete data in the PATH Study were included in the analyses, which were conducted from August 2018 to October 2019. Never ENDS use (n = 987), any previous 30-day ENDS use (n = 109), 1 to 5 days of ENDS use in the previous 30 days (n = 75), and 6 or more days ENDS use in the previous 30 days at wave 2 (n = 34). The analytic sample was selected using multiple variables based on peer-reviewed literature supporting associations with ENDS use. The main outcomes-changes in cigarette smoking behavior between wave 2 and wave 3-were defined using 2 measures: (1) change in smoking frequency, defined as the number of smoking days in the previous 30 days at wave 3 vs wave 2, and (2) change in smoking intensity, defined as the number smoking days in the previous 30 days multiplied by the mean number of cigarettes consumed on smoking days at wave 3 vs wave 2. The present cohort analyses included 1096 YA ever smokers who were ENDS naive at wave 1. The majority of the sample were women (609 [55.6%]) and White individuals (698 [63.7%]), and the mean (SD) age was 21.4 (1.9) years. In wave 1, 161 YAs (14.7%) were daily smokers in the previous 30 days. After propensity score matching, no statistically significant associations were observed between any definition of wave 2 ENDS use and changes in either the frequency or intensity of smoking at wave 3. In this cohort study of US YA ever smokers, ENDS use was not associated with either decreased or increased cigarette smoking during a 1-year period. However, it is possible that the rapidly evolving marketplace of vaping products may lead to different trajectories of YA cigarette and ENDS use in the future.

The impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013\u20132015

BackgroundPopulation models have been developed to evaluate the impact of new tobacco products on the overall population. Reliable input parameters such as longitudinal tobacco use transitions are needed to quantify the net population health impact including the number of premature deaths prevented, additional life years, and changes in cigarette smoking prevalence.MethodsThis secondary analysis assessed transition patterns from PATH wave 1 (2013–14) to wave 2 (2014–15) among adult exclusive cigarette smokers, exclusive e-cigarette users, and dual users. Transition probabilities were calculated by taking into account factors including cigarette smoking and e-cigarette use histories and experimental or established use behaviors. Multinomial logistic regression models were constructed to further evaluate factors associated with transition patterns.ResultsDifferential transition probabilities emerged among study subgroups when taking into account cigarette smoking and e-cigarette use histories and experimental or established use behaviors. For example, overall 45% of exclusive e-cigarette users in wave 1 continued using e-cigarettes exclusively in wave 2. However, we observed approximately 11 to 14% of wave 1 exclusive experimental e-cigarette users continued to use e-cigarette exclusively in wave 2, compared to about 62% of exclusive established e-cigarette users. The history of cigarette smoking and e-cigarette use is another important factor associated with transition patterns. Among experimental e-cigarette users, 7.5% of individuals without a history of cigarette smoking transitioned to exclusive cigarette smoking, compared to 30% of individuals with a history of cigarette smoking. Additionally, 1.3% of exclusive cigarette smokers in wave 1 transitioned to exclusive e-cigarette use, with the highest transition probability (3.7%) observed in the established cigarette smoker with a history of e-cigarette use subgroup.ConclusionsProduct use histories and current use behaviors are important factors influencing transitions between product use states. Given that experimental users’ transition behaviors may be more variable and more influenced by tobacco use history, long-term predictions made by population models could be improved by the use of transition probabilities from established users. As transition patterns might be changing over time, long-term transition patterns can be examined through analysis of future waves of PATH data.

Intensive Longitudinal Study of the Relationship Between Cigalike E-cigarette Use and Cigarette Smoking Among Adult Cigarette Smokers Without Immediate Plans to Quit Smoking.

This study examined the association between the introduction of an e-cigarette and subsequent change in cigarette smoking among smokers who were not immediately interested in quitting. The Moment Study was a 21-day intensive longitudinal study with an online follow-up survey at 30 days. After observing baseline cigarette smoking for 1 week, participants received 10 cigalike e-cigarettes on study days 6 and 13. Participants reported cigarettes per day, e-cigarette puffs per day, and e-cigarette satisfaction using text-message-based surveys. The sample of 96 daily smokers was majority female (53.1%), African American (67.7%), and non-Hispanic (95.8%). When e-cigarettes were provided (day 6), average cigarettes per day dropped by 1.82 cigarettes (p < .0001). The within-person e-cigarette puff effect on daily cigarette smoking was significantly negative (β = -0.023; p = .005); a participant who consumed 100 more e-cigarette puffs in a day than usual for that person was expected to smoke 2.3 fewer cigarettes that day, but this was only true for non-menthol smokers (p = .006). Smokers older than 45 and those who started smoking at a younger age rated e-cigarettes as less satisfying (ps < .05). Participants with greater than the median reported satisfaction were 6.5 times more likely to use an e-cigarette at follow-up. Giving e-cigarettes to smokers who did not intend to quit reduced their cigarette smoking on days when they used e-cigarette more frequently, but this relationship did not hold for menthol smokers. Satisfaction with e-cigarette use was predictive of continued use 30 days later. A greater amount of cigalike e-cigarette use resulted in less smoking among adult daily smokers without immediate plans to quit, but a lack of nicotine delivery and satisfaction for these devices may have limited their utility as a replacement for cigarette smoking, especially among menthol smokers. The global concept of "satisfaction" may be an important driver of e-cigarette use among adult smokers.

A Brief History of Bronchitis in England and Wales.

Chronic bronchitis is associated with hypertrophy of airway submucosal glands and with mucus and squamous metaplasia of the surface epithelium. A historical review of research on these and other pathological changes is provided. Next, from annual reports of the Registrar-General's Office (and later the Office of National Statistics), death rates per unit population from acute and chronic bronchitis (a term that here includes chronic obstructive pulmonary disease [COPD]) are calculated for England and Wales from 1838 to the present. It is argued that a large increase in the death rate between 1838 and 1879, from all forms of bronchitis combined, was due primarily to increased levels of atmospheric coal smoke, whereas a decrease from 1879 to 1935 was due to progressively cleaner air. Between 1935 and the mid-1960s, mortality from chronic bronchitis among men increased dramatically, after which it has fallen, a pattern that parallels changes in cigarette smoking. Finally, a brief historical review of the treatments for chronic bronchitis is presented.