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Background: Persons with HIV (PWH) are more likely to smoke and are more susceptible to the harmful effects of smoking than persons without HIV. We examined smoking patterns and use of cessation treatment among PWH and persons without HIV in a U.S. integrated health system., Methods: We identified adults (≥18 years) with HIV and demographically-matched persons without HIV between July 2013 and December 2017. Smoking status and cessation treatment were ascertained from health records. We calculated age-standardized annual prevalence of smoking and evaluated trends using Cochran-Armitage tests and Poisson regression. Factors associated with cessation treatment during the study period, and smoking in the last year of the study, were evaluated by HIV status using multivariable Poisson models., Results: The study included 11,235 PWH and 227,320 persons without HIV. Smoking prevalence was higher among PWH across all years but declined for both groups (from 16.6% to 14.6% in PWH and 11.6% to 10.5% in persons without HIV). Among smokers, PWH were more likely to initiate cessation treatment compared to persons without HIV (17.9% vs. 13.3%, covariate-adjusted prevalence ratio of 1.31, 95% CI = 1.15-1.50), with few differences in cessation treatment across subgroups of PWH. In 2017, smoking prevalence remained higher in PWH, especially among those who were younger or who had diagnoses of depression or substance use disorder., Conclusion: In a setting with access to cessation resources, smoking prevalence decreased both in PWH and persons without HIV. PWH had greater uptake of cessation treatment, which is encouraging for smoking reduction and improved health., Competing Interests: Declaration of Competing Interest Drs. Alexeeff, Horberg and Silverberg report a grant from Gilead, Inc., outside the submitted work. No conflicts of interest were declared for the remaining authors., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Surgical clinic and perioperative settings are critical touchpoints for treating smoking, yet health care systems have not typically prioritized smoking cessation among surgical patients. We evaluated the implementation of a pilot smoking cessation intervention integrated into standard perioperative care., Materials and Methods: English-speaking adult smokers undergoing elective surgery in Kaiser Permanente San Francisco before (2015) and after (2016-2017) the implementation of a smoking cessation intervention were included. Provider outcomes included counseling referrals, cessation medication orders (between surgery scheduling and surgery), and preoperative carbon monoxide testing. Patient outcomes included counseling and medication use, smoking status at surgery and 30 d after discharge, and surgical complications. Multivariable logistic regression analyses examined pre-to-post intervention changes in outcomes using electronic health record data and 30-d postdischarge telephone surveys., Results: The sample included 276 patients (70% male; 59% non-Hispanic white; mean age = 50 y). There were significant pre-to-post increases in tobacco cessation counseling referrals (3% to 28%, adjusted odds ratio [AOR] = 11.12, 95% confidence interval [CI] = 3.78-32.71) and preoperative carbon monoxide testing (38% to 50%, AOR = 1.83, 95% CI = 1.10-3.06). At ∼30 d after discharge, patients in the postintervention period were more likely to report smoking abstinence in the previous 7 d (24% pre, 44% post; AOR = 2.39, 95% CI = 1.11-5.13) and since hospital discharge (18% pre, 39% post; AOR = 3.20, 95% CI = 1.42-7.23). Cessation medication orders and patient use of counseling and medications increased, whereas surgical complications decreased, but pre-to-post differences were not significant., Conclusions: A perioperative smoking cessation program integrated into standard care demonstrated positive smoking-related outcomes; however, larger studies are needed to evaluate the effectiveness of these programs., (Copyright © 2019 Elsevier Inc. All rights reserved.)

It is unclear whether use of electronic nicotine delivery systems (ENDS) precedes cigarette smoking initiation, relapse, and/or quitting. Healthcare systems with electronic health records (EHRs) provide unique data to examine ENDS use and changes in smoking. We examined the incidence of ENDS use (2012-2015) based on clinician documentation and tested whether EHR documented ENDS use is associated with twelve-month changes in patient smoking status using a matched retrospective cohort design. The sample was Kaiser Permanente Northern California (KPNC) patients aged ≥12 with documented ENDS use (N = 7926); 57% were current smokers, 35% former smokers, and 8% never-smokers. ENDS documentation incidence peaked in 2014 for current and former smokers and in 2015 for never-smokers. We matched patients with documented ENDS use to KPNC patients without documented ENDS use (N = 7926) on age, sex, race/ethnicity, and smoking status. Documented ENDS use predicted the likelihood of smoking in the following year. Among current smokers, ENDS use was associated with greater odds of quitting smoking (OR = 1.17, 95%CI = 1.05-1.31). Among former smokers, ENDS use was associated with greater odds of smoking relapse (OR = 1.53, 95%CI = 1.22-1.92). Among never-smokers, ENDS use was associated with greater odds of initiating smoking (OR = 7.41, 95%CI = 3.14-17.5). The overall number of current smokers at 12 months was slightly higher among patients with (N = 3931) versus without (N = 3850) documented ENDS use. Results support both potential harm reduction of ENDS use (quitting combustibles among current smokers) and potential for harm (relapse to combustibles among former smokers, initiation for never-smokers)., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Objectives: Smokers on chronic opioid therapy (COT) for noncancer pain use prescription opioids at higher dosages and are at increased risk for opioid misuse and dependence relative to nonsmokers. The current study aims to assess whether smoking is associated with problems and concerns with COT from the perspective of the patient., Materials and Methods: In a large sample (N=972) of adult patients prescribed opioids for chronic noncancer pain, we examined sex-specific associations between smoking status and patient perceptions of problems and concerns with COT using regression analyses, adjusting for covariates., Results: The sample self-identified as 27% current smokers, 44% former smokers, and 29% never smokers. Current smoking (vs. never smoking) was associated with increased odds of an opioid use disorder among males and females, and higher daily opioid dose among males only. Current and former smokers reported significantly fewer problems with opioids relative to never smokers, and this was driven primarily by lower endorsement of problems that are affected by the stimulant properties of nicotine (eg, difficulties thinking clearly, felt less alert or sleepy)., Discussion: This study contributes to an understanding of perceived problems and concerns with COT among current, former, and never smokers with chronic noncancer pain. Results suggest that current and former smokers may be a difficult population to target to decrease COT, given that they perceive fewer problems with prescription opioid use, despite higher odds of having an opioid use disorder (males and females) and greater opioid doses (males only).

Tobacco use remains the leading preventable cause of death worldwide. In particular, people with mental illness are disproportionately affected with high smoking prevalence; they account for more than 200,000 of the 520,000 tobacco-attributable deaths in the United States annually and die on average 25 years prematurely. Our review aims to provide an update on smoking in the mentally ill. We review the determinants of tobacco use among smokers with mental illness, presented with regard to the public health HAVE framework of "the host" (e.g., tobacco user characteristics), the "agent" (e.g., nicotine product characteristics), the "vector" (e.g., tobacco industry), and the "environment" (e.g., smoking policies). Furthermore, we identify the significant health harms incurred and opportunities for prevention and intervention within a health care systems and larger health policy perspective. A comprehensive effort is warranted to achieve equity toward the 2025 Healthy People goal of reducing US adult tobacco use to 12%, with attention to all subgroups, including smokers with mental illness.

Introduction: The population-level patterns of electronic cigarette (e-cigarette) use among cancer survivors in the U.S. are unknown. The objective of this study was to examine the prevalence and correlates of e-cigarette use among cancer survivors in a nationally representative sample., Methods: A cross-sectional analysis was conducted of the 2014 National Health Interview Survey of the U.S. non-institutionalized civilian population. The main study outcomes were the prevalence and correlates of ever and current e-cigarette use among adults with self-reported history of cancer, excluding non-melanoma skin cancer (N=2,695). Multivariable logistic regression analyses examined whether e-cigarette use differed by cigarette smoking status and demographic subgroups. The analyses were performed in 2015., Results: The prevalence of e-cigarette use among adult cancer survivors was lower than the general population: 2.8% of cancer survivors reported currently using e-cigarettes and an additional 6.3% had previously used e-cigarettes but were not currently using them. Use of e-cigarettes was most common among cancer survivors who currently smoked cigarettes: 34.3% of current smokers were ever e-cigarette users and 15.6% were current e-cigarette users, compared with former smokers (2.7% ever and 1.4% current e-cigarette users) and never smokers (small sample/estimates unavailable)., Conclusions: E-cigarettes are not part of current evidence-based smoking-cessation strategies. However, the finding that cancer survivors who currently smoke cigarettes are more likely to use e-cigarettes highlights the importance of addressing e-cigarette use in patient-provider communications around tobacco cessation., (Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: Individuals with behavioral health conditions (BHCs) smoke at high rates and have limited success with quitting, despite impressive gains in recent decades in reducing the overall prevalence of smoking in the United States. This study examined smoking disparities among individuals with BHCs within an integrated health care delivery system with convenient access to tobacco treatments., Methods: The sample consisted of patients in an integrated health care delivery system in 2010-a group (N=155,733) with one or more of the five most prevalent BHCs (depressive disorders, anxiety disorders, substance use disorders, bipolar and related disorders, and attention-deficit hyperactivity disorder) and a group (N=155,733) without BHCs who were matched on age, sex, and medical home facility. The odds of smoking among patients with BHCs versus without BHCs were examined over four years using logistic regression generalized estimating equation models. Tobacco cessation medication utilization among a subset of smokers in 2010 was also examined., Results: Although smoking prevalence decreased from 2010 to 2013 overall, the likelihood of smoking decreased significantly more slowly among patients with BHCs compared with patients without BHCs (p<.001), most notably among patients with substance use and bipolar and related disorders. Tobacco cessation medication use was low, and smokers with BHCs were more likely than smokers without BHCs to utilize these products (6.2% versus 3.6%, p<.001)., Conclusions: Smoking decreased more slowly among individuals with BHCs compared with individuals without BHCs, even within an integrated health care system, highlighting the need to prioritize smoking cessation within specialty behavioral health treatment.

Introduction: With a focus on protecting vulnerable groups from initiating and continuing tobacco use, the FDA has been considering the regulation of menthol in cigarettes. Using a large sample of adult smokers with serious mental illness (SMI) in the San Francisco Bay Area, we examined demographic and clinical correlates of menthol use, and we compared the prevalence of menthol use among our study participants to that of adult smokers in the general population in California., Methods: Adult smokers with SMI (N = 1,042) were recruited from 7 acute inpatient psychiatric units in the San Francisco Bay Area. Demographic, tobacco, and clinical correlates of menthol use were examined with bivariate and multivariate logistic regression analyses, and prevalence of menthol use was compared within racial/ethnic groups to California population estimates from the 2008-2011 National Survey on Drug Use and Health., Results: A sample majority (57%) reported smoking menthol cigarettes. Multivariate logistic regression analyses indicated that adult smokers with SMI who were younger, who had racial/ethnic minority status, who had fewer perceived interpersonal problems, and who had greater psychotic symptoms also had a significantly greater likelihood of menthol use. Smokers with SMI had a higher prevalence of menthol use relative to the general population in California overall (24%)., Conclusions: Individuals with SMI-particularly those who are younger, have racial/ethnic minority status, and have been diagnosed with a psychotic disorder-are vulnerable to menthol cigarette use. FDA regulation of menthol may prevent initiation and may encourage cessation among smokers with SMI., (© The Author 2014. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objectives: Exposure of adults to secondhand smoke (SHS) has immediate adverse effects on the cardiovascular system and causes coronary heart disease. The current study evaluated brief self-report screening measures for accurately identifying adult cardiology patients with clinically significant levels of SHS exposure in need of intervention., Design and Setting: A cross-sectional study conducted in a university-affiliated cardiology clinic and cardiology inpatient service., Patients: Participants were 118 non-smoking patients (59% male, mean age=63.6 years, SD=16.8) seeking cardiology services., Main Outcome Measures: Serum cotinine levels and self-reported SHS exposure in the past 24 h and 7 days on 13 adult secondhand exposure to smoke (ASHES) items., Results: A single item assessment of SHS exposure in one's own home in the past 7 days was significantly correlated with serum cotinine levels (r=0.41, p<0.001) with sensitivity ≥75%, specificity >85% and correct classification rates >85% at cotinine cut-off points of >0.215 and >0.80 ng/mL. The item outperformed multi-item scales, an assessment of home smoking rules, and SHS exposure assessed in other residential areas, automobiles and public settings. The sample was less accurate at self-reporting lower levels of SHS exposure (cotinine 0.05-0.215 ng/mL)., Conclusions: The single item ASHES-7d Home screener is brief, assesses recent SHS exposure over a week's time, and yielded the optimal balance of sensitivity and specificity. The current findings support use of the ASHES-7d Home screener to detect SHS exposure and can be easily incorporated into assessment of other major vital signs in cardiology., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Objective: Individuals with serious mental illness (SMI) are dying on average 25 years prematurely. The leading causes are chronic preventable diseases. In the context of a tobacco-treatment trial, this exploratory study examined the behavioral risk profiles of adults with SMI to identify broader interventional needs., Method: Recruited from five acute inpatient psychiatry units, participants were 693 adult smokers (recruitment rate = 76%, 50% male, 45% Caucasian, age M = 39, 49% had income < $10,000) diagnosed with mood disorders (71%), substance-use disorders (63%), posttraumatic stress disorder (39%), psychotic disorders (25%), and attention deficit-hyperactivity disorder (25%). The Staging Health Risk Assessment, the primary measure used in this study, screened for risk status and readiness to change 11 health behaviors, referencing the period prior to acute hospitalization., Results: Participants averaged 5.2 (SD = 2.1) risk behaviors, including smoking (100%), high-fat diet (68%), inadequate fruits/vegetables (67%), poor sleep (53%), physical inactivity (52%), and marijuana use (46%). The percent prepared to change ranged from 23% for tobacco and marijuana to 76% for depression management. Latent class analysis differentiated three risk groups: the global higher risk group included patients elevated on all risk behaviors; the global lower risk group was low on all risks; and a mood and metabolic risk group, characterized by inactivity, unhealthy diet, sleep problems, and poor stress and depression management. The global higher risk group (11% of sample) was younger, largely male, and had the greatest number of risk behaviors and mental health diagnoses; had the most severe psychopathologies, addiction-treatment histories, and nicotine dependence; and the lowest confidence for quitting smoking and commitment to abstinence., Conclusion: Most smokers with SMI engaged in multiple risks. Expanding targets to treat co-occurring risks and personalizing treatment to individuals' multibehavioral profiles may increase intervention relevance, interest, and impact on health.

Introduction: Posttraumatic stress disorder (PTSD) is a risk factor for tobacco addiction. The majority of research on PTSD and smoking has been conducted with men, particularly combat veterans, and little is known about the association among women. In a clinical sample of women civilian smokers with serious mental illness (SMI), we examined the prevalence of PTSD symptomatology and associations with physical and mental health functioning, co-occurring substance use, nicotine dependence, and readiness to quit smoking., Methods: 376 adult women smokers aged 18-73 were recruited from 7 acute inpatient psychiatry units and screened by diagnostic interview for current PTSD symptomatology (PTSD(+)). In multiple regressions, we examined the associations of screening PTSD(+) with physical and mental health functioning; past-month drug use; past-year substance use disorders; nicotine dependence and readiness to quit smoking., Results: Nearly half the sample (43%) screened PTSD(+), which was significantly associated with the use of stimulants (OR=1.26) and opiates (OR=1.98), drug use disorders (OR=2.01), and poorer mental health (B=-2.78) but not physical health functioning. PTSD(+) status was unrelated to nicotine dependence, but predicted greater desire to quit smoking (B=2.13) and intention to stop smoking in the next month (OR=2.21). In multivariate models that adjusted for substance use disorders, physical and mental health functioning, and nicotine dependence, screening PTSD(+) remained predictive of greater desire and intention to quit smoking., Conclusion: PTSD symptomatology was common in our sample of women smokers with SMI and associated with not only worse substance use and mental health, but also greater readiness to quit smoking, suggesting the need for and potential interest in integrative PTSD-addiction treatment among women., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Objectives: We examined the density and proximity of tobacco retailers and associations with smoking behavior and mental health in a diverse sample of 1061 smokers with serious mental illness (SMI) residing in the San Francisco Bay Area of California., Methods: Participants' addresses were geocoded and linked with retailer licensing data to determine the distance between participants' residence and the nearest retailer (proximity) and the number of retailers within 500-meter and 1-kilometer service areas (density)., Results: More than half of the sample lived within 250 meters of a tobacco retailer. A median of 3 retailers were within 500 meters of participants' residences, and a median of 12 were within 1 kilometer. Among smokers with SMI, tobacco retailer densities were 2-fold greater than for the general population and were associated with poorer mental health, greater nicotine dependence, and lower self-efficacy for quitting., Conclusions: Our findings provide further evidence of the tobacco retail environment as a potential vector contributing to tobacco-related disparities among individuals with SMI and suggest that this group may benefit from progressive environmental protections that restrict tobacco retail licenses and reduce aggressive point-of-sale marketing.

Background: Smoke-free air laws have effectively reduced cigarette consumption at the population level; however, the influence of these policies on smoking among those with mental illness is unclear. We examined whether associations between statewide restaurant/bar smoking bans and cigarette smoking varied by psychiatric diagnoses and gender., Methods: We analyzed data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, Wave 1: 2001-2002; Wave 2: 2004-2005; n = 7,317 smokers). All analyses were stratified by gender. We examined whether tobacco cessation was associated with the interaction between ban implementation and Wave 1 psychiatric diagnoses (alcohol use disorder [AUD], anxiety disorder [AD], or mood disorder), adjusting for relevant covariates. Among those who continued to use tobacco at Wave 2, we examined associations between Wave 2 cigarettes per day (CPD) and the diagnoses × ban interactions, controlling for Wave 1 CPD and other relevant covariates., Results: Among men with an AUD and women with an AD, ban implementation was associated with 6% and 10% greater probability of tobacco cessation at Wave 2, respectively. Among men in the overall sample, ban implementation was associated with smoking 0.8 fewer CPD at Wave 2. Associations with CPD were nonsignificant among women. Interactions between ban implementation and psychiatric diagnoses were also nonsignificant when examining CPD, suggesting consistent reductions in CPD among men but not among women., Conclusions: This study provided the first evidence that statewide restaurant/bar smoking bans may be associated with reduced smoking among those with select psychiatric conditions.

Background: Cigarette taxation has been recognized as one of the most significant policy instruments to reduce smoking. Smoking and drinking are highly comorbid behaviors, and the public health benefits of cigarette taxation may extend beyond smoking-related outcomes to impact alcohol consumption. The current study is the first to test whether increases in cigarette taxes are associated with reductions in alcohol consumption among smokers using a large, prospective U.S. sample., Methods: Our sample included 21,473 alcohol consumers from the National Epidemiological Survey on Alcohol and Related Conditions (NESARC). Multiple linear regression analyses were conducted to evaluate whether increases in cigarette taxes between Waves 1 (2001 to 2002) and 2 (2004 to 2005) were associated with reductions in quantity and frequency of alcohol consumption, adjusting for demographics, baseline alcohol consumption, and alcohol price. Stratified analyses were conducted by sex, hazardous drinking status, and age and income group., Results: Increases in cigarette taxes were associated with modest reductions in typical quantity of alcohol consumption and frequency of binge drinking among smokers. Cigarette taxation was not associated with changes in alcohol consumption among nonsmokers. In analyses stratified by sex, the inverse associations of cigarette taxes with typical quantity and binge drinking frequency were found only for male smokers. Further, the inverse association of cigarette taxation and alcohol consumption was stronger among hazardous drinkers (translating into approximately 1/2 a drink less alcohol consumption per episode), young adult smokers, and smokers in the lowest income category., Conclusions: Findings from this longitudinal, epidemiological study suggest increases in cigarette taxes are associated with modest to moderate reductions in alcohol consumption among vulnerable groups. Additional research is needed to further quantify the public health benefits of cigarette taxation on alcohol consumption and to evaluate the potential broader crossover effects of cigarette taxation on other health behaviors., (Copyright © 2013 by the Research Society on Alcoholism.)

Our recently published study of >2.4 million adults in Northern California indicated that current versus never-tobacco smoking was associated with lower risk of SARS-CoV-2 infection and less severe coronavirus disease 2019 (COVID-19). We extended this research by evaluating whether these associations were moderated by socio-demographic factors and medical comorbidities. This retrospective cohort study of 1,885,826 adults with current or never-smoking status in Kaiser Permanente Northern California from 3/5/2020 (baseline) to 12/31/2020 (pre-vaccine) included electronic health record-based socio-demographics (sex, age, race/ethnicity, neighborhood deprivation index (NDI)) and medical comorbidities (obesity, cardiovascular conditions, diabetes, renal disease, respiratory conditions). We estimated the adjusted risk of SARS-CoV-2 infection and hospitalization (≤30 days of infection) associated with smoking status using Cox proportional hazard regression models. We estimated associations within subgroups of socio-demographics and comorbidities, and tested for effect modification using interaction terms. During the study, 35,627 patients had SARS-CoV-2 infection. Current versus never-smoking status was associated with lower adjusted rates of SARS-CoV-2 infection (aHR ranging from 0.51 to 0.89) and hospitalization (aHR ranging from 0.32 to 0.70) within nearly every socio-demographic and comorbidity subgroup. Statistically significant interactions showed that the magnitude of protection for SARS-CoV-2 infection varied by sex, age, race/ethnicity, NDI, cardiovascular conditions and diabetes, and for SARS-CoV-2 hospitalization by age and renal disease. Taken together, results indicated that while some socio-demographics and comorbidities moderated the associations, the lower risk of SARS-CoV-2 infection and hospitalization associated with current versus never-smoking status persisted among patients regardless of socio-demographics or comorbidities.

IntroductionSmoking tobacco and unhealthy alcohol use may negatively influence HIV care continuum outcomes but have not been examined in combination.MethodsParticipants were people with HIV (PWH) in Kaiser Permanente Northern California. Predictors included smoking status and unhealthy alcohol use (exceeding daily and/or weekly limits) reported by patients during primary care screening (index date). Outcomes were based on not achieving the following steps in the care continuum: linkage to HIV care (≥1 visit within 90 days of newly identified HIV diagnosis), retention (2+ in-person visits, 60+ days apart) and HIV RNA control (

The Affordable Care Act (ACA) promised to narrow smoking disparities by expanding access to healthcare and mandating comprehensive coverage for tobacco treatment starting in 2014. We examined whether two years after ACA implementation disparities in receiving clinician advice to quit and smokers' knowledge and use of treatment resources remained. We conducted telephone interviews in 2016 with a stratified random sample of self-reported smokers newly enrolled in the Kaiser Permanente Northern California's (KPNC) integrated healthcare delivery system in 2014 (N = 491; 50% female; 53% non-white; 6% Spanish language). We used Poisson regression with robust standard errors to test whether sociodemographics, insurance type, comorbidities, smoking status in 2016 (former, light/nondaily [

ObjectivesWe examined the impact of the Affordable Care Act-mandated elimination of tobacco cessation pharmacotherapy (TCP) copayments on patient use of TCP, overall and by income.MethodsElectronic health record data captured any and combination (eg, nicotine gum plus patch) TCP use among adult smokers newly enrolled in Kaiser Permanente Northern California (KPNC). KPNC eliminated TCP copayments in 2015. We included current smokers newly enrolled in the first 6 months of 2014 (before copayment elimination, N=16,199) or 2015 (after elimination, N=16,469). Multivariable models estimated 1-year changes in rates of any TCP fill, and of combination TCP fill, and tested for differences by income (

It is unclear whether use of electronic nicotine delivery systems (ENDS) precedes cigarette smoking initiation, relapse, and/or quitting. Healthcare systems with electronic health records (EHRs) provide unique data to examine ENDS use and changes in smoking. We examined the incidence of ENDS use (2012-2015) based on clinician documentation and tested whether EHR documented ENDS use is associated with twelve-month changes in patient smoking status using a matched retrospective cohort design. The sample was Kaiser Permanente Northern California (KPNC) patients aged ≥12 with documented ENDS use (N = 7926); 57% were current smokers, 35% former smokers, and 8% never-smokers. ENDS documentation incidence peaked in 2014 for current and former smokers and in 2015 for never-smokers. We matched patients with documented ENDS use to KPNC patients without documented ENDS use (N = 7926) on age, sex, race/ethnicity, and smoking status. Documented ENDS use predicted the likelihood of smoking in the following year. Among current smokers, ENDS use was associated with greater odds of quitting smoking (OR = 1.17, 95%CI = 1.05-1.31). Among former smokers, ENDS use was associated with greater odds of smoking relapse (OR = 1.53, 95%CI = 1.22-1.92). Among never-smokers, ENDS use was associated with greater odds of initiating smoking (OR = 7.41, 95%CI = 3.14-17.5). The overall number of current smokers at 12 months was slightly higher among patients with (N = 3931) versus without (N = 3850) documented ENDS use. Results support both potential harm reduction of ENDS use (quitting combustibles among current smokers) and potential for harm (relapse to combustibles among former smokers, initiation for never-smokers).

ObjectivesTo examine rates of smoking and tobacco treatment utilization by insurance coverage status (Medicaid, commercial, exchange) among newly enrolled patients in the post Affordable Care Act (ACA) era.MethodsWe examined new members who enrolled in Kaiser Permanente Northern California through Medicaid, the California exchange, or nonexchange commercial plans (N=122,298) in the first 6 months of 2014 following ACA implementation. We compared these groups on smoking prevalence and tested whether smokers in each group differed on sociodemographic characteristics and in their utilization of tobacco treatment (pharmacotherapy and counseling) in 2014.ResultsSmoking prevalence was higher among Medicaid (22%) than exchange (13%) or commercial (12%) patients (P

Tobacco and alcohol use are strongly associated. This cross-sectional study examined the relationship of smoke-free law coverage and smoke-free bar law coverage with hazardous drinking behaviors among a representative sample of U.S. adult drinkers (n = 17,057). We merged 2009 National Health Interview Survey data, American Nonsmokers' Rights Foundation U.S. Tobacco Control Laws Database, and Census Population Estimates. Hazardous drinking outcomes included heavy drinking (>14 drinks/week for men; >7 drinks/week for women) and binge drinking (≥5 drinks on one or more days during past year). Chi-square tests compared hazardous drinking by sociodemographic factors. Multivariable logistic regression models were used to examine if smoke-free law and bar law coverages were associated with hazardous drinking, controlling for sociodemographics and smoking status. Subset analyses were conducted among drinkers who also smoked (n = 4074) to assess the association between law coverages and hazardous drinking. Among all drinkers, smoke-free law coverage was not associated with heavy drinking (adjusted odds ratio (AOR) = 1.22, 95% confidence interval (CI) = 0.99-1.50) or binge drinking (AOR = 1.09, 95% CI = 0.93-1.26). Smoke-free bar law coverage was also found to be unrelated to hazardous drinking. Similar results were found among those drinkers who smoked. Findings suggest that smoke-free laws and bar laws are not associated with elevated risk for alcohol-related health issues.

IntroductionTreatment of tobacco use in mental health settings is rare despite high rates of comorbidity. With a focus on early intervention, we evaluated a tobacco treatment intervention among adolescents and young adults recruited from outpatient, school-based, and residential mental health settings and tested for gender differences.MethodsIntervention participants received computerized motivational feedback at baseline, 3 months, and 6 months and were offered 12 weeks of cessation counseling and nicotine patches. Usual care participants received a self-help guide and brief cessation advice. We examined 7-day point prevalence abstinence with biochemical confirmation at 3, 6, and 12 months; smoking reduction; and 24-hr quit attempts.ResultsAt baseline, the sample (N = 60, 52% female, mean age = 19.5±2.9 years, 40% non-Hispanic Caucasian) averaged 7±6 cigarettes/day, 62% smoked daily, 38% smoked ≤ 30 min of waking, 12% intended to quit in the next month, 47% had a parent who smoked, and 3 of 5 of participants' closest friends smoked on average. During the 12-month study, 47% of the sample reduced their smoking, 80% quit for 24 hr, and 11%, 13%, and 17% confirmed 7-day point prevalence abstinence at 3-, 6-, and 12-month follow-up, respectively, with no differences by treatment condition (ps > .400). Over time, abstinence was greater among girls (adjusted odds ratio [AOR] = 8.9) than among boys, and abstinence was greater for lighter smokers than heavier smokers (AOR = 4.5) (p < .05). No mental health or other measured variables predicted abstinence.ConclusionsAdolescent and young adult smokers with mental health concerns are a challenging group to engage and to effectively treat for tobacco addiction, particularly heavier smokers and boys. Innovative approaches are needed.

BackgroundWe aimed to examine prevalence and correlates of past-month electronic cigarette ("e-cigarette") use and use of e-cigarettes to aid a cessation attempt in three samples of young adult smokers recruited online in 2009-2010 (Study 1), 2010-2011 (Study 2), and 2013 (Study 3).MethodsParticipants were young adults aged 18 to 25 who smoked at least one cigarette in the previous month (Study 1, N=1987 and Study 2, N=570) or smoked 3 or more days each week and used Facebook 4 or more days per week (Study 3, N=79). We examined both past-month e-cigarette use and ever use of e-cigarettes to quit conventional cigarettes.ResultsPrevalence of past-month use of e-cigarettes was higher in each subsequent study: Study 1 (6%), Study 2 (19%), and Study 3 (41%). In multivariate analyses, significant correlates of past-month e-cigarette use were identified for Study 1 (male sex OR=2.1, p=.03; past-year quit attempt OR=1.6, p=.03) and Study 2 (male sex, OR=1.7, p=.03; younger age OR=0.88, p=.05), but not Study 3. In multivariate analyses, significant correlates of ever use of e-cigarette to quit conventional cigarettes were identified for Study 1 (education, OR=1.2, p=.02; smoking within 30min of waking, OR=2.8, p=.02; past year quit attempt OR=4.1, p=.02), and Study 3 (desire to quit smoking, OR=1.3, p=.02), but not Study 2.ConclusionsE-cigarette use is increasingly common among young adults, particularly men. E-cigarette use for quitting conventional cigarettes appears more common among those more nicotine dependent and interested in quitting.

Introduction: Primary care visits present an opportunity to reduce tobacco use and tobacco smoke exposure (TSE) among adolescents. To date, few studies have examined tobacco-related electronic health record (EHR) documentation in adolescent visits. The purpose of this study was to (1) describe tobacco-related EHR documentation practices in adolescent care clinics, including whether alternative tobacco products, parental use, and TSE were addressed; and (2) identify aspects of adolescent tobacco use that may inform EHR updates and counseling and documentation practices.Methods: Following a convergent mixed-methods design, we conducted an EHR review of 508 adolescent well-child visits, performed focus groups with pediatric providers and staff, and conducted in-depth interviews with adolescent patients. Record review data and interview transcripts were analyzed and interpreted concurrently.Results: In the EHR review, cigarette screening was documented in 92.3% of visits, smokeless tobacco screening in 51.4%, parental tobacco use in 23.2%, and home TSE in 33.1% of visits. Smoking status options were not mutually exclusive and did not include noncigarette products. No records documented assessment of e-cigarette use, despite nearly half of adolescent interview respondents citing these as the most popular products among adolescents. In interviews, adolescents discussed their experiences with alternative tobacco/nicotine products more than cigarettes.Conclusions: Tobacco use status prompts should be revised for clarity and include noncigarette tobacco products and TSE. Provider education on noncigarette products and TSE assessment is needed. Improvements in EHR systems, resources, and tools can lead to better tobacco screening, prevention, and treatment practices among primary care providers.Implications: Clinical guidelines call for pediatricians to assess and treat adolescent and parental tobacco use during primary care visits. The use of electronic health records (EHRs) can improve screening and counseling practices; however, few studies have examined tobacco-related EHR documentation practices in adolescent care settings. This mixed-methods study found low rates of EHR documentation related to noncigarette nicotine/tobacco products, parental tobacco use, and tobacco smoke exposure. These results demonstrate the need for increased provider training and EHR modifications to facilitate comprehensive tobacco control efforts in the adolescent population. [ABSTRACT FROM AUTHOR]

Introduction: Disparities in receiving advice to quit smoking and other tobacco use from health professionals may contribute to the continuing gap in smoking prevalence among priority populations. Under the Affordable Care Act (ACA), beginning in 2010, tobacco cessation services are currently covered in private and public health insurance plans. Providers and hospitals are also incentivized through the Meaningful Use of Electronic Health Records (EHRs) to screen and document patients' tobacco use and deliver brief cessation counseling. This study analyzes trends and correlates of receiving health professionals' advice to quit and potential disparities among US adult smokers from 2010 to 2015.Methods: Data were from the National Health Interview Survey in 2010 and 2015. We analyzed the weighted prevalence of smokers' receipt of advice to quit smoking and other tobacco use from a health professional in 2010 and 2015 and correlates of receiving advice to quit.Results: Prevalence of receiving advice to quit from a health professional increased from 51.4% in 2010 to 60.6% in 2015. This positive trend was observed across tobacco disparity population groups. Survey year (2015), age (older), ethnicity (non-Hispanic), region (Northeast), poverty level (above 100% poverty level), past quit attempt, daily smoking, cigarettes per day (11+ per day), and psychological distress were associated with higher odds of receiving advice to quit.Conclusion: Based on national level data, receipt of advice to quit from health professionals increased between 2010 and 2015. However, disparities in receiving advice to quit from health professionals persist in certain populations.Implications: This study provides important data on the national trends in receipt of health professional advice to quit smoking and other tobacco use in the context of the ACA and Meaningful Use implementation and whether these policies helped to narrow the gaps in receipt of health professional advice among vulnerable populations. [ABSTRACT FROM AUTHOR]

Our recently published study of >2.4 million adults in Northern California indicated that current versus never-tobacco smoking was associated with lower risk of SARS-CoV-2 infection and less severe coronavirus disease 2019 (COVID-19). We extended this research by evaluating whether these associations were moderated by socio-demographic factors and medical comorbidities. This retrospective cohort study of 1,885,826 adults with current or never-smoking status in Kaiser Permanente Northern California from 3/5/2020 (baseline) to 12/31/2020 (pre-vaccine) included electronic health record-based socio-demographics (sex, age, race/ethnicity, neighborhood deprivation index (NDI)) and medical comorbidities (obesity, cardiovascular conditions, diabetes, renal disease, respiratory conditions). We estimated the adjusted risk of SARS-CoV-2 infection and hospitalization (≤30 days of infection) associated with smoking status using Cox proportional hazard regression models. We estimated associations within subgroups of socio-demographics and comorbidities, and tested for effect modification using interaction terms. During the study, 35,627 patients had SARS-CoV-2 infection. Current versus never-smoking status was associated with lower adjusted rates of SARS-CoV-2 infection (aHR ranging from 0.51 to 0.89) and hospitalization (aHR ranging from 0.32 to 0.70) within nearly every socio-demographic and comorbidity subgroup. Statistically significant interactions showed that the magnitude of protection for SARS-CoV-2 infection varied by sex, age, race/ethnicity, NDI, cardiovascular conditions and diabetes, and for SARS-CoV-2 hospitalization by age and renal disease. Taken together, results indicated that while some socio-demographics and comorbidities moderated the associations, the lower risk of SARS-CoV-2 infection and hospitalization associated with current versus never-smoking status persisted among patients regardless of socio-demographics or comorbidities. [ABSTRACT FROM AUTHOR]

It is unknown whether use of e-cigarettes increases susceptibility to COVID-19. In a large clinical sample of young adults, we evaluated whether current or ever e-cigarette use was associated with polymerase chain reaction (PCR)-confirmed COVID-19. To address the confounding of combustible smoking, the sample was restricted to never smokers. This retrospective cohort study analyzed data from the electronic health records of 74,853 young adults (aged 18-35 years), without a history of cigarette smoking, who were screened for e-cigarette use (current, former, never) in the Kaiser Permanente Northern California (KPNC) healthcare system from 3/5/2020 (baseline) to 11/30/2020 (pre-vaccine). COVID-19 risk was estimated in time-to-event analyses using multivariable Cox proportional hazard regression models, adjusted for socio-demographics and medical comorbidities. E-cigarette status in the cohort was: 1.6% current, 1.2% former, and 97.2% never. During follow-up, 1965 (2.6%) patients acquired COVID-19. We did not find evidence that current (vs never) e-cigarette use was associated with risk of COVID-19 (aHR = 1.12 95%CI:0.77-1.62). However, we did find suggestive evidence that former (versus never) e-cigarette use may be associated with greater risk of COVID-19 (aHR = 1.39 95%CI:0.98-1.96). While e-cigarette use is associated with health risks for young adults, results from this study suggest that current use of e-cigarettes may not increase susceptibility for COVID-19 among young adults who have never smoked cigarettes. [ABSTRACT FROM AUTHOR]

Objectives: To examine sensory preferences and price sensitivity correlates of menthol smoking among smokers with mental illness. Methods: In a diverse sample (N = 481; 53% male; 48% white) of adult smokers hospitalized with mental illness, we examined tobacco preference (menthol, non-menthol, dual use) in relation to price sensitivity and sensory correlates. Results: The sample identified as 27% menthol-only, 31% dual users, and 42% non-menthol users. Controlling for related demographic characteristics (sex, ethnicity, education, income, age) and mental health diagnosis, relative to non-menthol users, menthol-only smokers preferred cigarettes characterized as soothing, smooth, clean-tasting, cooling and minty, and dual users reported less dry mouth, greater hunger, and preference for cooling, minty cigarettes, with an easy draw, and pleasant smelling smoke. Whereas menthol-only users stated affordability guided their cigarette selection, in a price sensitivity challenge, menthol-only users were the most flavor-loyal, and dual users were the most price sensitive. Conclusions: Menthol-only users, dual users, and non-menthol users with mental illness have distinct sensory preferences and reasons for smoking. Restricting menthol-characterizing flavoring in cigarettes may reduce smoking initiation and support cessation efforts among menthol-only users with mental illness. [ABSTRACT FROM AUTHOR]

Background We aimed to examine prevalence and correlates of past-month electronic cigarette (“e-cigarette”) use and use of e-cigarettes to aid a cessation attempt in three samples of young adult smokers recruited online in 2009–2010 (Study 1), 2010–2011 (Study 2), and 2013 (Study 3). Methods Participants were young adults aged 18 to 25 who smoked at least one cigarette in the previous month (Study 1, N = 1987 and Study 2, N = 570) or smoked 3 or more days each week and used Facebook 4 or more days per week (Study 3, N = 79). We examined both past-month e-cigarette use and ever use of e-cigarettes to quit conventional cigarettes. Results Prevalence of past-month use of e-cigarettes was higher in each subsequent study: Study 1 (6%), Study 2 (19%), and Study 3 (41%). In multivariate analyses, significant correlates of past-month e-cigarette use were identified for Study 1 (male sex OR = 2.1, p = .03; past-year quit attempt OR = 1.6, p = .03) and Study 2 (male sex, OR = 1.7, p = .03; younger age OR = 0.88, p = .05), but not Study 3. In multivariate analyses, significant correlates of ever use of e-cigarette to quit conventional cigarettes were identified for Study 1 (education, OR = 1.2, p = .02; smoking within 30 min of waking, OR = 2.8, p = .02; past year quit attempt OR = 4.1, p = .02), and Study 3 (desire to quit smoking, OR = 1.3, p = .02), but not Study 2. Conclusions E-cigarette use is increasingly common among young adults, particularly men. E-cigarette use for quitting conventional cigarettes appears more common among those more nicotine dependent and interested in quitting. [ABSTRACT FROM AUTHOR]

Objectives Exposure of adults to secondhand smoke (SHS) has immediate adverse effects on the cardiovascular system and causes coronary heart disease. The current study evaluated brief self-report screening measures for accurately identifying adult cardiology patients with clinically significant levels of SHS exposure in need of intervention. Design and setting A cross-sectional study conducted in a university-affiliated cardiology clinic and cardiology inpatient service. Patients Participants were 118 non-smoking patients (59% male, mean age=63.6 years, SD=16.8) seeking cardiology services. Main outcome measures Serum cotinine levels and self-reported SHS exposure in the past 24 h and 7 days on 13 adult secondhand exposure to smoke (ASHES) items. Results A single item assessment of SHS exposure in one’s own home in the past 7 days was significantly correlated with serum cotinine levels (r=0.41, p<0.001) with sensitivity ≥75%, specificity >85% and correct classification rates >85% at cotinine cut-off points of >0.215 and >0.80 ng/mL. The item outperformed multiitem scales, an assessment of home smoking rules, and SHS exposure assessed in other residential areas, automobiles and public settings. The sample was less accurate at self-reporting lower levels of SHS exposure (cotinine 0.05-0.215 ng/mL). Conclusions The single item ASHES-7d Home screener is brief, assesses recent SHS exposure over a week's time, and yielded the optimal balance of sensitivity and specificity. The current findings support use of the ASHES- 7d Home screener to detect SHS exposure and can be easily incorporated into assessment of other major vital signs in cardiology. [ABSTRACT FROM AUTHOR]

Background Available evidence suggests that quitting smoking does not alter alcohol consumption. However, smoking cessation medications may have a direct impact on alcohol consumption independent of any effects on smoking cessation. Using an international longitudinal epidemiological sample of smokers, we evaluated whether smoking cessation medications altered alcohol consumption independent of quitting smoking. Methods Longitudinal data were analyzed from the International Tobacco Control Four Country (ITC-4) Survey between 2007 and 2008, a telephone survey of nationally representative samples of smokers from the United Kingdom, Australia, Canada, and the United States ( n = 4,995). Quantity and frequency of alcohol consumption, use of smoking cessation medications (varenicline, nicotine replacement [ NRT], and no medications), and smoking behavior were assessed across 2 yearly waves. Controlling for baseline drinking and changes in smoking status, we evaluated whether smoking cessation medications were associated with reduced alcohol consumption. Results Varenicline was associated with a reduced likelihood of any drinking compared with nicotine replacement ( OR = 0.56; 95% CI = 0.34 to 0.94), and consuming alcohol once a month or more compared to nicotine replacement ( OR = 0.43; 95% CI = 0.27 to 0.69) or no medication ( OR = 0.63; 95% CI = 0.41 to 0.99). Nicotine replacement was associated with an increased likelihood of consuming alcohol once a month or more compared to no medication ( OR = 1.14; 95% CI = 1.03 to 1.25). Smoking cessation medications were not associated with more frequent drinking (once a week or more) or typical quantity consumed per episode. Medication effects on drinking frequency were independent of smoking cessation. Conclusions This epidemiological investigation demonstrated that varenicline was associated with a reduced frequency of alcohol consumption. Continued work should clarify under what conditions nicotine replacement therapies may increase or decrease patterns of alcohol consumption. [ABSTRACT FROM AUTHOR]

Use of cannabis during pregnancy is on the rise, yet little is known about how women administer cannabis during the perinatal period. This study examined self-reported modes of cannabis administration among women in the year before and during pregnancy, and their association with self-reported cannabis use frequency using data from 585 women screened in 2018-2019 for cannabis use during standard prenatal care in two medical centers in Northern California. The prevalence of cannabis use was 12% before pregnancy and 3% during pregnancy. Among the 71 women who reported cannabis use before pregnancy and the 19 women who reported cannabis use during pregnancy, smoking was the most common mode of administration (58% and 42%), followed by edibles (27% and 16%), vaping (23% and 16%), lotions (11% and 5%), and other (10% and 0%). In the year before pregnancy and during pregnancy, monthly or less use was most common (56% and 58%), followed by weekly use (24% and 26%) and daily use (20% and 16%). Among cannabis users, 43% used more than one mode before pregnancy compared to 15% during pregnancy. Daily cannabis use was most common among women who reported smoking only or smoking in combination with other modes. These novel results indicate that while smoking is the most common mode of cannabis administration during the perinatal period, there is variation in use and co-use of alternative modes. Future studies are needed to understand the relative health effects associated with individual and combined modes of cannabis administration during pregnancy. [ABSTRACT FROM AUTHOR]

An editorial is presented in which the article discusses the impacts of intimate partner violence (IPV) associated with small for gestational age (SGA) and smoking on pregnancy. Topics discussed include adverse effects of intimate partner violence including maternal morbidity and mortality, preterm birth and low birth weight.

Introduction: Smoking tobacco and unhealthy alcohol use may negatively influence HIV care continuum outcomes but have not been examined in combination.Methods: Participants were people with HIV (PWH) in Kaiser Permanente Northern California. Predictors included smoking status and unhealthy alcohol use (exceeding daily and/or weekly limits) reported by patients during primary care screening (index date). Outcomes were based on not achieving the following steps in the care continuum: linkage to HIV care (≥1 visit within 90 days of newly identified HIV diagnosis), retention (2+ in-person visits, 60+ days apart) and HIV RNA control (<75 copies/mL). Adjusted odds ratios (ORs) were obtained from separate logistic regression models for each outcome associated with smoking and unhealthy alcohol use independently and combined.Results: The overall sample (N = 8958) had a mean age of 48.0 years; was 91.3 % male; 54.0 % white, 17.6 % Latino, 15.1 % black, and 9.6 % other race/ethnicity. Smoking was associated with higher odds of not being linked to HIV care (OR = 1.60 [95 % CI 1.03-2.48]), not retained (OR = 1.30 [95 % CI 1.13-1.50]), and HIV RNA not in control (OR = 1.91 [95 % CI 1.60-2.27]). Alcohol measures were not independently associated with outcomes. The combination of unhealthy alcohol use and smoking (versus neither) was associated with higher odds of not being linked to care (OR = 2.83 [95 % CI 1.40-5.71]), although the interaction did not reach significance (p = 0.18).Conclusions: In this large sample of PWH in an integrated health care system, smoking, both independently and in combination with unhealthy alcohol use, was associated with worse HIV care continuum outcomes. [ABSTRACT FROM AUTHOR]