Treatment Referrals Post-prohibition of Alcohol Exclusion Laws: Evidence from Colorado and Illinois.

BACKGROUND: Individuals with alcohol-related disorders often encounter barriers to accessing treatment. One potential barrier is the state alcohol exclusion laws (AELs) that allow insurers to deny coverage for injuries or illnesses caused by alcohol intoxication. Several states have repealed AELs by prohibiting them completely, including banning exclusions in health and accident insurance policies, limiting their scope, or creating exemptions. OBJECTIVES: To examine whether prohibiting alcohol exclusions in health and accident insurance policies is associated with alcohol-related treatment admissions. DESIGN: We used the 2002 to 2017 Treatment Episode Data Set and obtained data from several sources to control for state-level factors. We employed a heterogeneous difference-in-differences method and an event study to compare the treatment admissions in Colorado and Illinois, two states that uniquely repealed AELs, with control states that allowed or had no AELs. MAIN MEASURES: We used aggregated alcohol treatment admission for adults by healthcare referral: (i) with alcohol as the primary substance and (ii) with alcohol as the primary, secondary, or tertiary substance. KEY RESULTS: We found a significant relationship between AEL repeal and increased referrals. AEL repeal in Colorado and Illinois was associated with higher treatment admissions from 2008 to 2011 (average treatment effect on the treated: 2008 = 653, 2009 = 1161, 2010 = 1388, and 2011 = 2020). We also found that a longer duration of exposure to AEL repeal was associated with higher treatment admissions, but this effect faded after the fourth year post-treatment. CONCLUSIONS: Our study reveals a potential positive association between the repeal and prohibition of AELs and increased alcohol-related treatment admissions. These findings suggest that states could enhance treatment opportunities for alcohol-related disorders by reconsidering their stance on AELs. While our study highlights the possible public health benefits of repealing AELs, it also paves the way for additional studies in this domain.

Loopholes for Underage Access in E-Cigarette Delivery Sales Laws, United States, 2022.

Objectives. To comprehensively catalog and review state e-cigarette delivery sales laws as well as capture their scope and dimensions. Methods. We conducted an in-depth review to determine whether states had at least 1 form of e-cigarette delivery sales law. We coded laws for 5 key policy domains: (1) delivery terminology used in laws, (2) age verification requirements, (3) packaging label requirements, (4) permit or registration requirements, and (5) fines and penalties for violations. Results. Overall, 34 states had e-cigarette delivery sales laws with varying scopes and dimensions. In 27 states, these laws required at least 1 form of age verification requirements. We identified mandatory packaging labels in 12 states, and 7 states where permits were required. There were considerable differences among states on the scale of fines and penalties for violations. Conclusions. Our findings reveal extensive heterogeneity in e-cigarette delivery sales laws among states, particularly regarding the scope and dimensions of these laws. Public Health Implications. The mapping of e-cigarette delivery sales policies showed several potential loopholes that may diminish their effectiveness. (Am J Public Health. 2023;113(5):568-576. https://doi.org/10.2105/AJPH.2023.307228).

E-cigarette preemption laws: Limiting local communities from protecting youth.

E-cigarette use is prevalent among youth in the United States. Historically, local communities have been a catalyst for adopting evidence-based tobacco control policies. However, some states have ceiling preemption laws that prevent more stringent statutes from being enacted at the city or county level and inhibit tobacco control efforts. The current study documents state preemption laws regarding e-cigarette advertising, licensure, indoor clean air, and youth access. We conducted a systematic synthesis of state statutes to identify states with e-cigarette preemption laws. Data were collected on four policy categories being preempted: advertising, licensure, clean indoor air, and youth access. Laws were compiled, and the content was verified using the Westlaw legal database. In the US, 25 states preempt stricter local e-cigarette regulations in 55 laws. Of these states, 19 preempt advertising regulations, 11 preempt licensure requirements, four preempt ordinances for indoor clean air, and 21 preempt youth access. A broad range of terms was employed to describe preemption, yet few states explicitly used the term "preempt." E-cigarette ceiling preemption laws inhibit public health progress and prevent local authorities from addressing the popularity of e-cigarettes among adolescents.States without preemption laws should be encouraged to adopt language that expressly saves local authority.

Examining Cigar Pack Quantity Purchases by Cigar Type in the United States Between 2014 and 2017.

INTRODUCTION: We examined whether the proportion of cigar pack quantity usually purchased differed between 2014 and 2017 in the United States. METHODS: Data are from waves 1 and 4 of the Population Assessment of Tobacco and Health Study. The proportions of pack quantity purchases between waves for premium cigars, large cigars, cigarillos, and filtered cigars for 10-pack quantities (singles, 2-packs, 3-packs, 4-packs, 5-packs, 6-9-packs, 10-packs, 11--19-packs, 20-packs, ≥21 packs) were compared using Z-tests. We used multivariable linear regressions to examine factors associated with pack quantity. RESULTS: For premium cigars, most adults purchased singles, with 84.4% in 2014 and 88.7% in 2017. For large cigars, single purchases increased from 46.2% to 62.7% (p < .00001). Two-packs also increased, 3.1% to 10.2% (p < .00001), while 5-packs, 6-9 packs, 10-19-packs, and 20-packs decreased. For cigarillos, singles purchases increased from 51.9% to 57.5% (p = .0002). Two-packs also increased, 8.8% to 19.6% (p < .00001), while 3-packs, 4-packs, 5-packs, and 20-packs decreased. For filtered cigars, the most prevalent pack quantity shifted from 20-packs in 2014 (62.6%) to singles in 2017 (36.7%). Singles, 2-packs, 3-4-packs, and 5-packs increased while 11-19-packs, 20-packs, and ≥21 packs decreased. Days used were positively associated with pack quantity purchase for all cigar types in 2017, while the price was positively associated with premium cigar purchase. CONCLUSIONS: Between 2014 and 2017, the proportion of consumers who purchased singles remained at over 80% for premium cigars and increased for other cigars. Continued monitoring of use behaviors, including pack quantities by cigar type, is needed as the market and policy landscapes continue shifting. IMPLICATIONS: Single cigar purchases are prominent across cigar types. Five-packs and 20-packs were the second most common pack quantities across cigar types, with relatively low proportions for other pack quantities. These findings suggest adults consuming premium cigars consistently prefer singles, a pattern that was found across cigar types. However, when considering purchases made online, premium cigars are widely purchased in larger pack quantities. Age and race were associated with purchase for some cigar types at some years, days used were associated with the purchase quantity in 2017 for all cigar types, and price was positively associated across time periods for only premium cigar purchases. Thus, the factors associated with cigar pack quantity purchase remain unclear. As the cigar policy landscape shifts, continued monitoring of the purchase behaviors by cigar type will be important to better inform future cigar policies.

Longitudinal analysis of cigar use patterns among US youth and adults, 2013-2019.

BACKGROUND: Cigars are available in a range of pack quantities, which contrasts regulations requiring cigarettes to be sold in packs of 20 or greater. Smaller packages may be associated with increases in initiation while larger packs may lead consumers to smoke more. The purpose of this study was to inform pack quantity regulations by examining whether usual cigar pack quantity purchased was associated with use, initiation, and discontinuation among youth and adults for four cigar types: premium cigars, large cigars, cigarillos, and filtered cigars. METHODS: We analyzed waves 1-5 (2013-2019) of the adult and waves 2-5 (2014-2019) of the youth Population Assessment of Tobacco and Health (PATH) Study. Samples included those responding to the item on pack quantity and providing data at all waves (adults: premium cigars [N = 536], large cigars [N = 1,272], cigarillos [N = 3,504], filtered cigars [N = 1,281]; youth: premium cigars [N = 55], large cigars [N = 217], cigarillos [N = 1514], filtered cigars [N = 266]). Generalized estimating equation models examined the population-averaged effects of pack quantity on cigar use, initiation, and discontinuation. RESULTS: Adult pack quantity was positively associated with the days used per month for premium cigars (b: 0.23, 95% CI: 0.11, 0.34), large cigars (b: 0.17, 95% CI: 0.08, 0.25), cigarillos (b: 0.12, 95% CI: 0.003, 0.24), and filtered cigars (b: 0.07, 95% CI: 0.04, 0.10), and positively associated with amount smoked per day for all cigar types. Youth pack quantity was positively associated with days used per month for premium cigars (b: 0.88, 95% CI: 0.33, 1.43), large cigars (b: 0.79, 95% CI: 0.43, 1.15), and cigarillos (b: 0.17, 95% CI: 0.01, 0.34). Adult initiation was associated with pack quantity for filtered cigars (b: -2.22, 95% CI: -4.29, -0.13), as those who initiated purchased smaller pack quantities compared to those who did not initiate that wave. Pack quantity was not associated with discontinuation for adults or youth. CONCLUSIONS: Cigar use increased as usual pack quantity purchased increased across cigar types for youth and adults. Small increases in pack quantity (e.g., one additional cigar) are likely to result in consuming less than one additional day per month, though larger increases (e.g., 10 additional cigars per pack) may result in greater use.

Does state repeal of alcohol exclusion laws increase problem drinking?

BACKGROUND: For decades, alcohol exclusion laws (AELs) have allowed insurance companies to reject claims for physical injuries caused by alcohol consumption, including injuries from impaired driving. A central premise of AELs is that they function as a deterrent to risk-taking behaviors, such as excessive drinking. If this assumption is correct, state repeal of these laws should result in increased drinking. This study examines whether the repeal of AELs by some states affects drinking behaviors. METHODS: Data were obtained from the 1993 to 2017 Behavioral Risk Factor Surveillance System nationwide survey. Exploiting the natural experiment presented by state repeal of AELs, we assessed the impact on current drinking and binge drinking. We used a rigorous quasi-experimental difference-in-differences analysis and conducted a battery of sensitivity analyses to assure robust findings. RESULTS: Overall, the study found no discernable impact of state repeal of AELs on alcohol consumption. While the repeal of AELs significantly decreased the odds of reporting drinking in the past 30 days compared to those living in states with AELs or that never had AELs, the effects were small (aOR = 0.98, 95% CI = 0.96, 0.99). Likewise, there were higher odds of binge drinking among individuals living in states that repealed AELs compared to those living in states without AELs, yet with small effects (aOR = 1.03, 95% CI = 1.01, 1.05). After additionally adjusting for state-varying characteristics and state-specific time trends, no significant effects were identified regarding current and binge drinking. Findings from the sensitivity analyses were largely consistent with the main analysis. CONCLUSION: This study found no evidence supporting the idea that repealing AELs increased alcohol consumption or binge drinking. Future studies should consider other state-specific dimensions within the Uniform Accident and Sickness Policy Provision Law.

Longitudinal associations of tobacco-related social media involvement with cigarette and e-cigarette initiation among US adolescents.

Tobacco is the leading cause of preventable morbidity and mortality in the USA. Evidence suggests adolescents are particularly vulnerable to online tobacco marketing. This study examined longitudinal associations of following or liking of tobacco brands with subsequent cigarette and e-cigarette initiation among US adolescents. We used Wave 1-Wave 4 Population Assessment of Tobacco and Health study data (n = 6997) and discrete-time survival regression models to examine associations of past-year tobacco-related social media interactions with the initiation of cigarettes and e-cigarettes among US adolescents. About 4.8% (n = 280) of adolescent never cigarette users and 4.9% (n = 288) of never e-cigarette users followed or liked tobacco brands on social media between Wave 1 and Wave 2. By Wave 4, 8.8% of all cigarettes never users had initiated cigarette use, and 18.7% of never e-cigarette users initiated e-cigarette use. The following or liking tobacco brands on social media was significantly associated with increased odds of cigarette initiation (adjusted odds ratio (aOR) 2.12, 95% CI 1.56-2.88) and e-cigarette initiation (aOR 2.11, 95% CI 1.66-2.69). Also, the initiation of cigarettes and e-cigarettes differed significantly among race/ethnicity, school performance, and other tobacco and substance use.Conclusion: Adolescents who followed or liked tobacco products on social media were more likely to initiate cigarette or e-cigarette use subsequently. Increasing anti-tobacco efforts on social media sites could be beneficial. What is Known: • Evidence suggests adolescents are particularly vulnerable to online tobacco marketing. What is New: • The following or liking tobacco brands on social media was significantly associated with the odds of cigarette and e-cigarette initiation.

Trends in sexual orientation disparities in cigarette smoking: Intersections between race/ethnicity and sex.

Cigarette smoking is disproportionately high among sexual minority populations, but it is unclear whether these disparities exist among race/ethnicity subgroups. This study examined trends in sexual orientation disparities in cigarette smoking by race/ethnicity. Data are from the 2014-2019 Behavioral Risk Factor Surveillance System (N = 1,194,768). Trend analyses compared cigarette smoking by race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic other) and sexual orientation (straight, lesbian or gay, bisexual, something else/don't know/refused). Multivariable analyses examined associations between sexual orientation and cigarette use for each race/ethnicity, controlling for other sociodemographic characteristics. Between 2014 and 2019, lesbian or gay, and bisexual populations consistently had higher smoking rates than straight populations, which held across race/ethnicity. Among non-Hispanic White adults, lesbians (OR = 1.51, 95% CI = 1.29, 1.76), bisexual females (OR = 1.56, 95% CI = 1.39, 1.75), gay (OR = 1.38, 95% CI = 1.22, 1.55), and bisexual males (OR = 1.22, 95% CI = 1.04, 1.43) had higher odds of smoking compared those self-identifying as straight. Among non-Hispanic Black adults, lesbians (OR = 1.90, 95% CI =1.33, 2.73) and bisexual females (OR = 1.85, 95% CI =1.42, 2.41) were more likely to currently smoke. Among Hispanic adults, those self-identifying as lesbian or gay (OR = 1.58, 95% CI = 1.19, 2.09) or bisexual (OR = 2.40, 95% CI = 1.88, 3.07) were more likely to currently smoke, though the associations were not significant in Hispanic males. Disparities in cigarette smoking by race/ethnicity and sexual orientation suggest that aggregating these groups mask important differences and limit efforts to target those most at risk.

Associations between e-cigarette pack size and vaping frequency among U.S. adults.

Little research exists on the association between e-cigarette pack quantity and use. We examined whether using e-cigarettes every day or somedays was associated with purchasing e-cigarettes by the box/pack or as singles. Data are from the 2018-2019 Tobacco Use Supplement to the Current Population Survey, analyzed in 2020. The sample included adults who reported current e-cigarette use (N=2,413). We conducted multivariable logistic regression models to examine the association between purchasing e-cigarettes by the box/pack or as singles and using e-cigarettes every day or somedays. Models controlled for demographic characteristics, flavored e-cigarette use, and other tobacco use, and were stratified by sex and device type. Of the 2,413 respondents, 63.1% reported purchasing e-cigarettes as singles, while 36.9% reported buying by the box or pack. Among those who purchased by the box and singles, approximately 56% and 50% used e-cigarettes every day, respectively. Those who reported purchasing by the box/pack had greater odds of every day e-cigarette use compared to some day use (Adjusted Odds Ratio: 1.36, 95% CI: 1.09, 1.68). This finding held for both males, females, and all device types. These findings present a first step in determining the relationship between e-cigarette pack size and use behavior.

Associations between sexual identity-attraction discordance, and prescription opioid misuse among adults.

Prior research has shown that sexual minorities are disproportionately affected by substance use disorders and prescription opioid misuse. While most studies explore how single dimensions of sexual orientation (i.e., identity, attraction, and behavior) are associated with substance use disorders, we aimed to explore how multiple dimensions of sexual orientation interact with substance use behaviors. Specifically, we examined sexual identity-attraction discordance, the situation when one's sexual identity does not match their socially-expected sexual attractions, with prescription opioid misuse. This study assessed the association between sexual identity-attraction discordance with prescription opioid misuse utilizing data from the National Survey on Drug Use and Health from 2015 to 2017 among adults while employing propensity score weighting with multivariable logistic regression. The study included 127,430 adult participants, of whom 1.3%, 4.4%, and 10.6% self-reported prescription opioid misuse in the past month, past year, and lifetime, respectively. Those with discordant sexual identity-attractions had higher odds of prescription opioid misuse in their lifetime (aOR= 1.22, 95% CI 1.07-1.40) when compared to those with concordant sexual identity-attractions. When stratified by sex, we found sexual identity-attraction discordant females had higher odds of prescription opioid misuse in their lifetime (aOR= 1.29, 95% CI 1.13-1.49); there was no association among males. These findings further emphasize the need to consider the dynamic nature of sexual orientation in substance use research.

Unemployment rate, opioids misuse and other substance abuse: quasi-experimental evidence from treatment admissions data.

BACKGROUND: The relationship between economic conditions and substance abuse is unclear, with few studies reporting drug-specific substance abuse. The present study examined the association between economic conditions and drug-specific substance abuse admissions. METHODS: State annual administrative data were drawn from the 1993-2016 Treatment Episode Data Set. The outcome variable was state-level aggregate number of treatment admissions for six categories of primary substance abuse (alcohol, marijuana/hashish, opiates, cocaine, stimulants, and other drugs). Additionally, we used a broader outcome for the number of treatment admissions, including primary, secondary, and tertiary diagnoses. We used a quasi-experimental approach -difference-in-difference model- to estimate the association between changes in economic conditions and substance abuse treatment admissions, adjusting for state characteristics. In addition, we performed two additional analyses to investigate (1) whether economic conditions have an asymmetric effect on the number of substance use admissions during economic downturns and upturns, and (2) the moderation effects of economic recessions (2001, 2008-09) on the relationship between economic conditions and substance use treatment. RESULTS: The baseline model showed that unemployment rate was significantly associated with substance abuse treatment admissions. A unit increase in state unemployment rate was associated with a 9% increase in treatment admissions for opiates (ß = 0.087, p < .001). Similar results were found for other substance abuse treatment admissions (cocaine (ß = 0.081, p < .001), alcohol (ß = 0.050, p < .001), marijuana (ß = 0.036, p < .01), and other drugs (ß = 0.095, p < .001). Unemployment rate was negatively associated with treatment admissions for stimulants (ß = - 0.081, p < .001). The relationship between unemployment rate and opioids treatment admissions was not statistically significant in models that adjusted for state fixed effects and allowed for a state- unique time trend. We found that the association between state unemployment rates and annual substance abuse admissions has the same direction during economic downturns and upturns. During the economic recession, the negative association between unemployment rate and treatment admissions for stimulants was weakened. CONCLUSION: These findings suggest that economic hardship may have increased substance abuse. Treatment for substance use of certain drugs and alcohol should remain a priority even during economic downturns.

Trends in cigarette smoking among American Indians and Alaska Natives in the USA: 1992-2015.

PURPOSE: While smoking prevalence may be declining in the general population, health disparities in tobacco use remain a public health priority. This study examined national, sociodemographic, and geographic trends in American Indians and Alaska Natives (AIs/ANs) smoking prevalence from 1992/1993 to 2014/2015. Additionally, correlates of cigarette smoking were examined among this group. METHODS: Data were drawn from the 1992-2015 Tobacco Use Supplement to the Current Population Survey. Cochran-Armitage tests were used to assess changes in the prevalence of smoking over time in the population, as well by sociodemographic characteristics. Multivariable logistic regression was conducted to examine the correlates of cigarette smoking for AIs/ANs in 2014/2015. RESULTS: The trend analysis indicated that the prevalence of smoking, among AIs/ANs, decreased significantly from 39.1% in the 1992/1993 cycle to 20.9% in the 2014/2015. This decrease was seen in both males and females, with the prevalence of smoking decreasing from 43.6% and 35.4%, respectively, in 2006/2007 to 23.8% and 18.3% in 2014/2015. The decreasing trend was also found for all subgroups, except for the 55+ age group. Multivariable analysis showed higher odds of smoking among males, those with low income compared to those with median or higher income, and those living in non-metropolitan areas. Those aged 25-54 were more likely to be smokers compared with the 55+ age group. CONCLUSIONS: Results indicate a recent decrease in AIs/ANs smoking prevalence, although these populations still experience a high prevalence of smoking compared to the general population. Our findings highlight the need for a comprehensive tobacco control strategy that includes working with stakeholders within the AI/AN community.

Associations of home and workplace vaping restrictions with e-cigarette use among U.S. adults.

The current study examined home and workplace vaping restrictions and their associations with e-cigarette use, frequency of e-cigarette use, and exposure to environmental vape aerosol among adults in the U.S. We used data from the 2018 Tobacco Use Supplement to the Current Population Survey to determine these associations. Analysis was done with a multivariable logistic and zero-inflated Poisson regression. Of 46,751 participants, 2.1% currently used e-cigarettes and 89% reported restricted home vaping. Of 19,091 working participants, 83% had worksite vaping restrictions and 6% reported environmental vapor exposure. Respondents with household vaping restrictions had lower odds of current e-cigarette use (full ban: aOR: 0.07, 95% CI: 0.05-0.09; partial ban: aOR: 0.51, 95% CI: 0.40-0.66). The expected number of days of past-month e-cigarette use for those with some household vaping restrictions was significantly fewer than for those without restrictions (full ban: IRR: 0.92, 95% CI: 0.85-0.99; partial ban, IRR: 0.89, 95% CI: 0.81-0.97). Workers with full workplace vaping restrictions had lower odds of workplace environmental vape aerosol exposure than those without a restriction (aOR: 0.21, 95% CI: 0.17-0.25). Vaping restrictions in homes were associated with lower prevalence and frequency of e-cigarette use. Those in worksites with complete vaping bans were less likely to be exposed to environmental aerosol at work. Home e-cigarette restrictions appear to have a stronger association with e-cigarette use behaviors than workplace restrictions.

Rural-urban differences in cannabis detected in fatally injured drivers in the United States.

While there is a vast literature on rural and urban differences in substance use, little is known in terms of cannabis positive drug tests among fatally injured drivers. In the present study, we examined rural-urban differences in cannabis detected in fatally-injured drivers. Data were drawn from the 2015-2017 Fatality Analysis Reporting System. Multivariable logistic regression was performed to examine rural-urban differences in the percentage of cannabis detected in fatally-injured drivers. Analyses were stratified by rural-urban classification and sex. A positive cannabis test in fatally-injured drivers was more prevalent in urban locations. Compared to fatally-injured drivers in rural locations, urban drivers had higher odds of a positive test for cannabinoids (aOR: 1.21, 95% CI 1.14-1.28). Non-Hispanic Black drivers had higher odds of testing positive for cannabinoids (aOR: 1.43, 95% CI 1.31-1.55). Those aged at least 25 years had lower odds of a positive test for cannabinoids. Drivers involved in a weekend nighttime crash (aOR: 1.14, 95% CI 1.03-1.26) and weekday nighttime (aOR: 1.15, 95% CI 1.05-1.26) had higher odds of testing positive for cannabinoids compared to drivers involved in a weekend daytime crash. Results showed significant rural-urban differences in the prevalence of cannabis detected in fatally-injured drivers.

Trends in smoking during pregnancy by socioeconomic characteristics in the United States, 2010-2017.

BACKGROUND: Maternal smoking during pregnancy remains a public health concern in the United States (US). We examined whether the prevalence of smoking during pregnancy decreased between 2010 and 2017 and how trends differed by demographic subgroups. METHODS: We used 2010-2017 data from the National Center for Health Statistics. Rao-Scott Chi-Square tests were performed to compare characteristics between smoking and nonsmoking groups. Cochran-Armitage tests and logistic regression were used to assess overall changes in the prevalence of smoking during pregnancy over time and changes for age, race, and educational attainment subgroups. RESULTS: The prevalence of smoking during pregnancy decreased from 9.2% in 2010 to 6.9% in 2017. In 2017, the prevalence was highest among women aged 20-24 (9.9%), American Indian/Alaskan Natives (15%), and those with a high school diploma or General Educational Development (GED) (12.2%). The prevalence was lowest among women younger than 15 (1.7%), Asian/Pacific Islanders (1%), and those who had a master's degree and higher (0.3%). Prevalence did not decrease significantly over time in the 35-39 age group (4.5 to 4.4%; p = 0.08), and increased dramatically for women with less than a high school diploma from 10.2 to 11.8%; p < 0.0001. CONCLUSIONS: Smoking prevalence during pregnancy in the US is declining, but is highest among younger women (20-24), American Indian/Alaska Natives, and women with a high school diploma or GED. In addition, the prevalence has increased for women with the least education. Targeted research and tobacco control interventions could help address the specific needs of these high-risk subpopulations.

Methods for Population Research on Substance Use and Consequences.

This chapter reviews the array of methods used in contemporary research on population-level research on substance use and its consequences. We argue that there are critical questions that can best - or in some cases, only - be addressed at the level of a population. We then describe the major categories of data collection methods used in population research, including surveys, ecological momentary assessment, administrative data, audit methods, and unobtrusive assessment of substance use. Two categories of measures are then discussed: measures of an individual's use of substances and related problems and measures of harm to others caused by one's use. We then review factors that may be considered causes or correlates of substance use and consequences, including both individual and environmental factors. We close with a few thoughts on the accumulation of knowledge and its translation to policy and practice.

Trends in Binge and Heavy Drinking among Adults in the United States, 2011-2017.

Background: Alcohol misuse is one of the leading causes of preventable death in the United States each year. Objectives: In the present study, we examine trends in binge and heavy drinking. We used data from the 2011-2017 Behavioral Risk Factor Surveillance System. For trend analyses, we used logistic regression for heavy drinking and binge drinking variables. Joinpoint model analysis was conducted to identify where significant changes in trend occurred. Results: The trend analysis indicated that the overall prevalence of binge drinking decreased significantly from 18.3% in 2011 to 16.0% in 2014, then increased significantly to 17.0% in 2017. This trend was also found for heavy drinking, with a significant decrease from 6.6% in 2011 to 5.8% in 2014, then increased significantly to 6.2% in 2017. This trend persisted for certain subgroups; males, females, White participants, and the 35-54 age group all had a similar decrease in prevalence followed by an increase from 2014-2017. Conclusions: Overall, our results indicate a recent significant increase in both binge and heavy drinking among the general population.

Assessing trends and healthy migrant paradox in cigarette smoking among U.S. immigrant adults.

The healthy migrant paradox suggests that immigrants to developed countries are, on average, healthier than the native born of the host country, with some finding that health advantages diminish after 10-20 years. This study examined trends in immigrant cigarette smoking trends, as well as smoking by the length of residence in the U.S. Data were drawn from the 1995-2015 Tobacco Use Supplement to the Current Population Survey (n = 140,254). Cochran-Armitage tests were used to assess changes in the prevalence of smoking over time in the population, as well by demographic characteristics. Multivariable logistic regression was used to compare cigarette smoking differences between immigrants' length of residence in the U.S. and the native-born population. The prevalence of immigrants' cigarette smoking significantly decreased from 15.0% in 1995/96 to 6.9% in 2014/15. Cigarette smoking rates for males and females significantly decreased from 20.8% and 9.1%% in 2007, respectively, to 10.4% and 3.6% in 2017. Differences in cigarette smoking appeared to have narrowed over time by the length of stay in the U.S. Multivariable analysis showed that immigrants had significantly lower odds of cigarette smoking (length of stay ≤5 years, Odds Ratio = 0.40, 95% Confidence Interval = 0.32-0.51; 6-10, OR = 0.39, CI =0.31-0.49; 11-20, OR = 0.39, CI =0.34-0.45; 20+, OR = 0.47, CI =0.43-0.53) compared to the native-born population. Findings show that immigrants consistently have lower smoking rates than native born, and this healthy behavior advantage did not appear to diminish based on years living in the U.S.

Frequency of E-cigarette use and cigarette smoking among Canadian students.

The emergence of electronic nicotine delivery systems (commonly referred to as e-cigarettes) has created an ongoing public health debate and concerns, especially in regards to adolescents. The present study examined associations between the frequency of e-cigarette use and cigarette smoking among school students. Data on students (grades 7-12) was obtained from the 2016-2017 Canadian Student Tobacco, Alcohol and Drugs Survey (n = 51,661). Multivariable logistic regression analyses were conducted to examine associations between the frequency of e-cigarette use and smoking. Subgroup analyses were performed for male and female students. Among those who reported any cigarette smoking in the past 30 days, 55% reported e-cigarette use at least once in the last 30 days. Additionally, 17% reported e-cigarette use for 21-30 days among those who smoked cigarettes for at least 21 days. Multivariable logistic regression analysis showed e-cigarette use was associated with higher odds of cigarette smoking, especially among more frequent e-cigarette users. Those who used an e-cigarette 21-30 days had higher odds of cigarette smoking (smoked cigarette at least once AOR = 4.83, CI = 3.33-7.01; at least 11 days AOR = 3.73, CI = 2.40-5.80; at least 21 days AOR = 3.39, CI = 2.16-5.34). Findings suggest that those who smoked cigarettes at least once in the past 30 days had a higher frequency of e-cigarette use.

Cigarette smoking, e-cigarette use, and sexual identity among high school students in the USA.

Although tobacco use has decreased in the general population in recent years, smoking remains high among subpopulations. This study examined whether sexual identity is associated with cigarette smoking and e-cigarette use among high school students. Data were drawn from the US Youth Risk Behavior Surveillance System (n = 28811). We grouped participants according to sexual identity status. Propensity score matching technique was used to address covariate imbalance among sexual identity groups. Subgroup analyses were performed for male and female students. Of the four sexual identity groups analyzed in this study, bisexual adolescents had significantly higher odds of cigarette smoking (cigarette smoking, OR, 1.61; 95% CI, 1.24-2.08; cigarette smoking for ≥ 10 days, OR, 1.79; 95% CI, 1.28-2.51; cigarette smoking for ≥ 20 days, OR, 2.04; 95% CI, 1.38-3.03). Further, in a sex-based subgroup analysis, results showed significant differences, with bisexual females more likely to smoke cigarettes and use e-cigarettes for ≥ 20 days compared with heterosexual female adolescents.Conclusions: Sexual identity status is strongly associated with cigarette smoking and e-cigarette use. Female bisexual adolescents have an increased risk of cigarette smoking and e-cigarette use for ≥ 20 days. While tobacco control policies have been effective in reducing cigarette use in the general population, targeting policy toward sexual minorities is an important consideration. What is Known: • Sexual minority groups face a disproportionate amount of stress and have a heightened risk of substance use. • Methodological concerns exist in the extant literature, including limited data at the national level. What is New: • Propensity score matching was used to account for imbalances in sexual identity subgroups, and findings show significant heterogeneity in cigarette and e-cigarette use among sexual minority high school students. • Sexual identity status is strongly associated with cigarette smoking and e-cigarette use, especially among bisexual identity female subgroup.