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Background The lawsuit that led to the U.S. Master Settlement Agreement (MSA) exposed the cigarette industry’s deceptive marketing practices, which changed population perceptions about the cigarette industry and helped prevent cigarette smoking. The cigarette industry now owns many electronic cigarette (e-cigarette) companies and make their own e-cigarettes. Given that the MSA occurred in previous decades, many millennial and generation Z young adults may not know about the MSA and the cigarette industry’s marketing practices. It is unknown whether awareness about the MSA and cigarette industry practices may influence these young adults’ e-cigarette industry and e-cigarette health risk perceptions, which may inform e-cigarette prevention efforts. Methods Cross-sectional data were collected from a U.S. sample of tobacco-naïve young adults, 18–30 years-old, susceptible to e-cigarette use ( n  = 1,329) through an online panel service in August 2021-January 2022. Participants reported their demographic characteristics, awareness of the MSA, awareness of cigarette industry practices, e-cigarette industry perceptions, and e-cigarette health risk perceptions. We examined the relationships between awareness of the MSA and cigarette industry practices with e-cigarette industry and e-cigarette health risk perceptions using multivariable linear regressions, adjusted for demographic characteristics. Results Overall, 36.2%, 24.1%, and 39.3% of participants had heard of the MSA and knew a lot about it, had heard of the MSA, but did not know much about it, and did not hear of the MSA, respectively. On average, participants were aware of 5.2 (SD = 3.0) of the 11 cigarette industry practices included. Hearing about the MSA and knowing a lot about it and awareness of more cigarette industry practices were associated with less positive e-cigarette industry and higher e-cigarette health risk perceptions, whereas having heard of the MSA but not knowing much about it was associated with more positive e-cigarette industry and lower e-cigarette health risk perceptions. Conclusions Findings suggest that increasing comprehensive awareness of the MSA and cigarette industry practices may influence young adults’ e-cigarette-related perceptions, and may importantly prevent detrimental information gaps about the cigarette industry. Future research should investigate the potential impact of increasing awareness of the MSA and cigarette industry practices in changing e-cigarette-related perceptions, which may help prevent e-cigarette use.

There is an increased need to understand how e-cigarette flavors may contribute to e-cigarette uptake and use among youth. We examined the relationship between perceived ease of flavored e-cigarette use and e-cigarette use susceptibility and progression among a nationally representative sample of U.S. youth never tobacco users. The wave 1 (2013-2014) and wave 2 (2014-2015) surveys of PATH Study were used. Youth never tobacco users (ages 12-17) who reported whether flavored e-cigarettes were easier to use than unflavored e-cigarettes at wave 1 (n = 6,983) were included in the study. Multivariable logistic regressions were used to examine the associations between perceived ease of using flavored e-cigarettes (wave 1) and e-cigarette use outcomes including e-cigarette use susceptibility (wave 1) and e-cigarette initiation and past-30-day use (wave 2). Overall, 21.2% of the sample perceived flavored e-cigarettes easier to use than unflavored e-cigarettes; and 28.9% of the sample were susceptible to using e-cigarettes at wave 1, and 7.5% and 2.0% initiated e-cigarettes and used e-cigarettes in the past 30 days at wave 2, respectively. Among those who perceived flavored e-cigarettes easier to use, 41.0% were susceptible to using e-cigarettes at wave 1, and 10.6% and 3.4% initiated and used e-cigarettes in the past 30 days at wave 2, respectively. Perceiving flavored e-cigarettes as easier to use than unflavored e-cigarettes at wave 1 was positively associated with e-cigarette use susceptibility at wave 1 (AOR = 1.43, CI = 1.21, 1.69), and e-cigarette initiation (AOR = 1.32, CI = 1.12, 1.67) and past-30-day use (AOR = 1.25, CI = 1.10, 2.47) at wave 2. Perceiving flavored e-cigarettes as easier to use than unflavored e-cigarettes may lead to e-cigarette use progression among youth never tobacco users. Determining the factors (including e-cigarette marketing and specific e-cigarette flavors) that lead to perceived ease of using flavored e-cigarettes would inform efforts to prevent and curb youth e-cigarette use.

We exploit changes in air quality seen during the COVID-19 lockdown over China to show how a cleaner atmosphere has notable co-benefits for solar concentrator photovoltaic energy generation. We use satellite observations and analyses of the atmospheric state to simulate surface broadband and spectrally resolved direct normal irradiance (DNI). Over Wuhan, the first city placed under lockdown, we show how the atmospheric changes not only lead to a 19.8% increase in broadband DNI but also induce a significant blue-shift in the DNI spectrum. Feeding these changes into a solar cell simulator results in a 29.7% increase in the power output for a typical triple-junction photovoltaic cell, with around one-third of the increase arising from enhanced cell efficiency due to improved spectral matching. Our estimates imply that these increases in power and cell efficiency would have been realised over many parts of China during the lockdown period. This study thus demonstrates how a cleaner atmosphere may enable more efficient large scale solar energy generation. We conclude by setting our results in the context of future climate change mitigation and air pollution policies.

Abstract Study Objectives: The relationship between sleeping and smoking during adolescence remains unclear and is likely complex. We aim to evaluate the longitudinal reciprocal associations between sleep problems, sleep duration, and smoking among non-Hispanic white (NHW) and non-Hispanic black (NHB) youth. Design: Prospective cohort study Setting: NEXT Generation Health Study Participants: A national sample (N = 1394) of NHB and NHW 10th graders were surveyed annually between 2009 (Wave 1) and 2012 (Wave 3). Interventions: N/A Measurements and Results: Past 30-day smoking, chronic difficulty falling asleep, recent difficulty falling asleep, difficulty staying asleep, and weekday and weekend sleep duration were measured at each wave. Using structural equation models, we observed significant autocorrelations over time for sleep problems and sleep duration. We found significant reciprocal, prospective relationships between smoking and sleep problems. The strengths of the relationships differed by race, with a stronger association between sleep problems and subsequent smoking for NHB than NHW youth. Conversely, a stronger association between smoking and subsequent sleep problems for NHW than NHB youth was observed. These association were independent of demographics, snoring or sleep apnea, body mass index, depressive symptoms, alcohol use, and soda consumption. Conclusions: Reciprocal and prospective relationships exist for youth smoking and sleep problems and duration in both NHW and NHB youth. Further research is needed to unravel the complex relationship between the direct effects of nicotine, lifestyle choices that may link smoking and sleep problems, and racial differences.

IntroductionThis study assessed patterns of e-cigarette and cigarette use from Wave 1 to Wave 2 among adult e-cigarette users at Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study.MethodsWe examined changes in e-cigarette use frequency at Wave 2 among adult e-cigarette users at Wave 1 (unweighted n=2835). Adjusted prevalence ratios (aPR) were calculated using a predicted marginal probability approach to assess correlates of e-cigarette discontinuance and smoking abstinence at Wave 2.ResultsHalf (48.8%) of adult e-cigarette users at Wave 1 discontinued their use of e-cigarettes at Wave 2. Among dual users of e-cigarettes and cigarettes at Wave 1, 44.3% maintained dual use, 43.5% discontinued e-cigarette use and maintained cigarette smoking and 12.1% discontinued cigarette use at Wave 2, either by abstaining from cigarette smoking only (5.1%) or discontinuing both products (7.0%). Among dual users at Wave 1, daily e-cigarette users were more likely than non-daily users to report smoking abstinence at Wave 2 (aPR=1.40, 95% CI 1.02 to 1.91). Using a customisable device (rather than a non-customisable one) was not significantly related to smoking abstinence at Wave 2 (aPR=1.14, 95% CI 0.81 to 1.60).ConclusionsThis study suggests that e-cigarette use patterns are highly variable over a 1-year period. This analysis provides the first nationally representative estimates of transitions among US adult e-cigarette users. Future research, including additional waves of the PATH Study, can provide further insight into long-term patterns of e-cigarette use critical to understanding the net population health impact of e-cigarettes in USA.

To classify individuals with diabetes mellitus (DM) into DM subtypes using population-based studies. Population-based survey. Individuals participated in 2003-2004, 2005-2006, or 2009-2010 the National Health and Nutrition Examination Survey (NHANES), and 2010 Coronary Artery Risk Development in Young Adults (CARDIA) survey (research materials obtained from the National Heart, Lung, and Blood Institute Biologic Specimen and Data Repository Information Coordinating Center). 3084, 3040 and 3318 US adults from the 2003-2004, 2005-2006 and 2009-2010 NHANES samples respectively, and 5,115 US adults in the CARDIA cohort. We proposed the Diabetes Typology Model (DTM) through the use of six composite measures based on the Homeostatic Model Assessment (HOMA-IR, HOMA-%β, high HOMA-%S), insulin and glucose levels, and body mass index and conducted latent class analyses to empirically classify individuals into different classes. Three empirical latent classes consistently emerged across studies (entropy = 0.81-0.998). These three classes were likely Type 1 DM, likely Type 2 DM, and atypical DM. The classification has high sensitivity (75.5%), specificity (83.3%), and positive predictive value (97.4%) when validated against C-peptide level. Correlates of Type 2 DM were significantly associated with model-identified Type 2 DM. Compared to regression analysis on known correlates of Type 2 DM using all diabetes cases as outcomes, using DTM to remove likely Type 1 DM and atypical DM cases results in a 2.5-5.3% r-square improvement in the regression analysis, as well as model fits as indicated by significant improvement in -2 log likelihood (p<0.01). Lastly, model-defined likely Type 2 DM was significantly associated with known correlates of Type 2 DM (e.g., age, waist circumference), which provide additional validation of the DTM-defined classes. Our Diabetes Typology Model reflects a promising first step toward discerning likely DM types from population-based data. This novel tool will improve how large population-based studies can be used to examine behavioral and environmental factors associated with different types of DM.

Introduction: Prevalence of light daily smoking, < 10 cigarettes per day (CPD), and non-daily smoking has increased in the US population. This analysis examined the heterogeneity in past-year smoking behavior, current tobacco use behaviors, and smoking cessation behaviors among light and/or non-daily smokers. Methods: Current adult (≥ 18 years old) smokers (N=26196) participated in the 2010 – 2011 US Current Population Survey – Tobacco Use Supplement, which reported current (T1) and past 12-month (T0) smoking behaviors. Responses were categorized by intensity (light ≤ 10 CPD vs heavy > 10 CPD) and frequency (non-daily vs daily). Combinations of T0 and T1 smoking behaviors resulted in 15 smoking trajectories ending in light/non-daily smoking and a 16th category of heavy daily smokers at T1. Differences in demographics, tobacco use, and smoking cessation behaviors were assessed by using weighted multivariable regression models. Results: Overall, 46.1% of US smokers were heavy smokers, 24.6% remained light daily smokers and 12.5% remained light non-daily smokers between T0 and T1. Current cigar, smokeless tobacco, and pipe use differed by smoking trajectories (p< 0.05). All light and/or non-daily smokers were more likely than heavy daily smokers to have made a quit attempt (p< 0.05) but use of cessation treatments varied. Smokers in many light and/or non-daily smoking trajectories were less likely than heavy daily smokers to be aided by healthcare providers for smoking cessation (p< 0.05). Conclusions: Among heavy daily smokers who became light non-daily smokers, the mismatch between intent to quit (80.9%) and receiving advice to set a quit date (33.7%) is one example of a potential opportunity for a clinical intervention.

Introduction In France, 10% of the population are immigrants and another 11% are children of immigrants. Both have worse mental health than the native French. The role of adverse childhood experiences (ACE) in immigrants’ mental health is not well characterized. We aimed to examine associations between immigration background, ACEs, and depressive symptoms. Methods Data came from the baseline and 2020 follow-up questionnaires of the French CONSTANCES study ( n  = 116,495), a national cohort. The exposure was immigration background categorized by immigration generation (1st : immigrants; 2nd : French-born with ≥ 1 immigrant parent; and native French) and the geographic origin of the participant (1st generation) or ≥ 1 parent (2nd generation). The mediator was experiencing ACEs. The outcome was depressive symptoms ascertained with the Center for Epidemiologic Studies Depression scale at study inclusion. Mediation analysis using multivariable logistic regression and path analysis (PA) was used to assess associations between the exposure, mediator, and outcome, overall and stratified by sex, minimally adjusting for age and sex or adjusting for all covariates. Results The prevalence of depressive symptoms was 18.5%. In minimally adjusted models, compared to native French, there were higher odds of depressive symptoms in 1st and 2nd generation adults except those with ≥ 1 parent from Asia. Mediation effects of ACEs from PA ranged from 0.03 to 0.10. In the fully adjusted model including after adjusting for experiencing ACEs, only immigrants from North Africa had significantly increased odds of depressive symptoms (AOR = 1.52, 95%CI: 1.29, 1.79). Conclusions In France, non-native adults have higher prevalence and odds of depressive symptoms than the native French, with ACEs having a significant mediating effect. Key messages Compared to the native French, there were generally higher odds of depressive symptoms and experiencing ACEs in immigrants and descendants of immigrants. Experiencing ACEs may have a mediating effect on depressive symptoms among most groups of immigrants and descendants of immigrants. Our findings from a large, diverse cohort have implications for risk factors to prioritize to advance psychosocial health and research among immigrants and their descendants, in relation to both origin-specific and general factors related to depression and ACEs.

Given JUUL e-cigarettes' potential for smoking cessation and its drastically increased sales in the U.S., more evidence is needed to understand the antecedents of JUUL use among adult cigarette smokers. This study assessed the relationships between awareness sources, perceptions about using JUUL, and JUUL use behavior. In an online study with adult smokers who were aware of JUUL e-cigarettes (n = 341), respondents reported their sources for learning about JUUL, perceptions of using JUUL versus Vuse (a competitor brand), and ever and past-30-day (current) JUUL use. Multivariable logistic regressions were used to examine the associations between awareness sources, perceptions, and JUUL use, adjusting for covariates. Learning about JUUL through internet ads was associated with positive perceptions about JUUL compared to Vuse, including JUUL was more fun to use (AOR = 2.04, 95% CI = 1.21, 3.42) and tastier (AOR = 1.96, 95% CI = 1.19, 3.22). Perceiving JUUL as being tastier (AOR = 2.07, 95% CI = 1.23, 3.49), more helpful for quitting smoking (AOR = 2.07, 95% CI = 1.22, 3.53), and cooler (AOR = 2.07, 95% CI = 1.21, 3.56) than Vuse was associated with ever using JUUL. Only perceiving JUUL as being tastier (AOR = 1.98, 95% CI = 1.10, 3.59) than Vuse was associated with current use of JUUL. Adult smokers may be more likely to focus on the sensory and social experience of using JUUL rather than JUUL's smoking cessation benefits. These positive perceptions are likely to be influenced by internet ads in general instead of JUUL's official marketing outlets. They are also more likely to sustain JUUL use than JUUL's perceived smoking cessation benefits.

BackgroundPublic education exposing cigarette industry practices have been effective in changing attitudes and preventing smoking among young people. It is unclear how much young adults are aware of e-cigarette industry practices, and how this awareness relates to anti-e-cigarette attitudes. We examined demographic correlates of awareness of e-cigarette industry practices and anti-e-cigarette attitudes, and the association between awareness of these practices with anti-e-cigarette attitudes.MethodsA US sample of young adults aged 18–30 years who do not use commercial tobacco products but are susceptible to e-cigarette use were cross-sectionally surveyed through online panel services from August 2021 to January 2022. Respondents reported their demographics, awareness of cigarette industry practices, awareness of e-cigarette industry practices and their level of agreement with four anti-e-cigarette attitude statements. We used multivariable linear regressions to examine demographic associations and the relationship between awareness of e-cigarette industry practices with each anti-e-cigarette attitude, adjusting for demographics and awareness of cigarette industry practices.ResultsGenerally, Hispanic and Black young adults (vs White) and those with

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