Serious psychological distress and higher associations with tobacco and cannabis use among college students in the United States.

OBJECTIVE: To examine associations between serious psychological distress (SPD) and tobacco and cannabis use among college students in the United States. METHODS: This cross-sectional study included 257,626 college students from the 2019-2022 National College Health Assessment survey. SPD was defined as having symptoms in the past month. Current tobacco (i.e., cigarettes, e-cigarettes) and cannabis use was defined as past month use. Multiple product use was categorized for single, dual, or triple products. Adjusted logistic regression models were used to examine associations between SPD, tobacco, cannabis, and multiple product use. RESULTS: SPD increased over time (18.4% to 23.8%) among students and nearly 30% of tobacco or cannabis users reported SPD. Cigarette, e-cigarette, or cannabis use was associated with about a 50-60% increased likelihood of reporting SPD than non-current use of each product, with the highest associations in Fall 2020. Triple product users had double the likelihood of reporting SPD, followed by dual users at 70% and single users at 47%, relative to non-current users. Daily users also had nearly twice the likelihood of reporting SPD, followed by non-daily users at 13-35%, relative to non-current users. CONCLUSIONS: College students have an increasing burden of SPD which is significantly associated with tobacco and cannabis use. There is a dose-response relationship between the number of tobacco and cannabis products used, as well as the frequency of use, and SPD among U.S. college students. Colleges addressing student mental health should prioritize the implementation of screening and treatment support for tobacco, cannabis, and multiple product use.

Flavored Tobacco Sales Restrictions and Youth E-cigarette Behavior: Impact by Tobacco Retailer Density in Diverse Communities in California.

INTRODUCTION: Factors that impact flavored tobacco sales restriction (flavor restrictions) effectiveness on youth e-cigarette behavior are unclear. Tobacco retailer density (retailer density) is a health equity issue with greater retailer density in high-minority, low-income areas. We examined the association between flavor restrictions and youth e-cigarette behavior by retailer density across diverse communities in the California Bay Area. AIMS AND METHODS: We analyzed data from the California Healthy Kids Survey using a difference-in-differences (DID) strategy. We compared pre- and post-policy changes in e-cigarette access and use one-year post-implementation among high school students in the Bay Area with a flavor restriction (n = 20 832) versus without (n = 66 126). Separate analyses were conducted for students in cities with low and high retailer density, with a median cutoff of 3.3 tobacco retailers/square mile. RESULTS: Students with high retailer density were more likely to identify as a minority and have parents with lower education. Among students with low retailer density, flavor restrictions were associated with 24% lower odds in the pre- to post-policy increase in ease of access relative to unexposed students (DID = 0.76, 95% CI: 0.58, 0.99). Among students with high retailer density, flavor restrictions were associated with 26% higher odds in ease of access (DID: 1.26, 95% CI: 1.02, 1.56) and 57% higher odds of current use (DID = 1.57, 95% CI: 1.31, 1.87). CONCLUSIONS: Flavor restrictions had positive impacts on youth e-cigarette access in low, but not high retailer density cities. From a health equity perspective, our results underscore how flavor restrictions may have uneven effects among vulnerable groups. IMPLICATIONS: In diverse communities in the California Bay Area, our results suggest a protective association between flavored tobacco sales restrictions and youth access to e-cigarettes in low, but not high tobacco retailer density cities one-year post-implementation. These results underscore how flavor restrictions may have uneven effects, and when implemented in high retailer density areas, may disproportionately place already vulnerable groups at heightened exposure to e-cigarette use and access. In high retailer density areas, additional tobacco control efforts may need to be included with flavor restriction implementation, such as increased education, youth prevention and cessation programs, policies to reduce tobacco retailer density, or stronger tobacco retailer enforcement or compliance monitoring.

Closing the Tobacco Treatment Gap: A Qualitative Study of Tobacco Cessation Service Implementation in Community Pharmacies.

Tobacco use remains a leading preventable cause of morbidity and mortality, with pharmacotherapy and counseling recognized as effective cessation aids. Yet, the potential role of pharmacists and pharmacy technicians in tobacco cessation services is underutilized. This study explores the integration of such services in community pharmacies, identifying facilitators and barriers to their implementation. A qualitative study was conducted across seven community pharmacies in California that were affiliated with the Community Pharmacy Enhanced Services Network. Participants included 22 pharmacists and 26 pharmacy technicians/clerks who completed tobacco cessation training. Data were collected through semi-structured interviews, focusing on experiences with implementing cessation services. The analysis was guided by Rogers' Diffusion of Innovations Theory. MAXQDA software was used for data management and thematic analysis. Sixteen pharmacy personnel participated in the study, highlighting key themes around the integration of cessation services. Compatibility with existing workflows, the importance of staff buy-in, and the crucial role of pharmacy technicians emerged as significant facilitators. Challenges included the complexity of billing for services, software limitations for documenting tobacco use and cessation interventions, and gaps in training for handling complex patient cases. Despite these barriers, pharmacies successfully initiated cessation services, with variations in service delivery and follow-up practices. Community pharmacies represent viable settings for delivering tobacco cessation services, with pharmacists and technicians playing pivotal roles. However, systemic changes are needed to address challenges related to billing, documentation, and training. Enhancing the integration of cessation services in community pharmacies could significantly impact public health by increasing access to effective cessation support.

Navigating Threats of Wildfires and Individual Rights to Adopt 100% Tobacco-Free Policy in Rural California Community Colleges.

BACKGROUND: In California, all four-year public colleges have adopted 100% smoke-/tobacco-free policies (TFP) whereas community colleges (CCs), particularly rural CCs, are less likely to have tobacco-free environments. This raises concerns about health equity, particularly because smoking prevalence is higher in rural areas compared to urban. We examined policy adoption barriers and facilitators for rural California CCs with the aim of providing lessons learned to support TFP adoption by rural CCs and improve conditions for student health and well-being. METHODS: A multiple case study of four CCs in California with (n = 2) and without (n = 2) TFPs was conducted. Semi-structured interviews with 12 campus and community stakeholders, school administrative data, and policy-relevant documents were analyzed at the case level with comparison across cases to identify key barriers, facilitators and campus-specific experiences. RESULTS: All four CCs shared similar barriers to policy adoption including concerns about wildfires, individual rights, and fear of marginalizing people who smoke on campus. These CCs have experienced serious wildfires in the last ten years, have high community smoking prevalence, and fewer school resources for student health. For the two tobacco-free CCs, long-term wildfire mitigation efforts along with leadership support, campus/community partnerships and a collective approach involving diverse campus sectors were essential facilitators in successful TFP adoption. CONCLUSION: Study results underscore contextual pressures and campus dynamics that impact tobacco control efforts at colleges in rural communities. Strategies to advance college TFP adoption and implementation should recognize rural cultural and community priorities.

Co-Use of Tobacco Products and Cannabis Is Associated with Absenteeism and Lower Grades in California High School Students.

OBJECTIVE: To examine the association between co-use of commercial tobacco product (hereafter referred to as tobacco) and cannabis with educational outcomes among high school students. STUDY DESIGN: We analyzed high school student data from the 2021-2022 California Healthy Kids Survey (n = 287 653). Current (past-month) or ever tobacco and cannabis use was categorized as co-use, only tobacco or cannabis, or neither. Two self-reported educational outcomes were examined: absenteeism and grades. Adjusted logistic and linear regression models were used to examine the association between tobacco/cannabis use and absenteeism or grades, respectively. Estimates were adjusted for individual, peer, and school covariates, and clustering within schools. RESULTS: Current co-use of tobacco and cannabis was more than double the use of only tobacco (3.7% vs 1.7%) and similar to only cannabis (3.7%). Almost 18% of students reported absenteeism. Compared with students who used neither substance, students with current co-use had greater odds of absenteeism (aOR 1.41, 95% CI 1.33-1.49) and lower grades (ß = -0.87, 95% CI -0.92 to -0.82). Compared with students using tobacco alone, students with co-use also had a significant elevated odds of absenteeism (aOR 1.19, 95% CI 1.10-1.29) and lower grades (ß = -0.39, 95% CI -0.46 to -0.32). Similar results were found for students who ever used tobacco and cannabis. CONCLUSIONS: California youth who co-use tobacco and cannabis were most likely to have absenteeism and lower grades. Comprehensive efforts to prevent or reduce youth substance use may improve educational outcomes.

Data envelopment analysis to evaluate the efficiency of tobacco treatment programs in the NCI Moonshot Cancer Center Cessation Initiative.

BACKGROUND: The Cancer Center Cessation Initiative (C3I) is a National Cancer Institute (NCI) Cancer Moonshot Program that supports NCI-designated cancer centers developing tobacco treatment programs for oncology patients who smoke. C3I-funded centers implement evidence-based programs that offer various smoking cessation treatment components (e.g., counseling, Quitline referrals, access to medications). While evaluation of implementation outcomes in C3I is guided by evaluation of reach and effectiveness (via RE-AIM), little is known about technical efficiency-i.e., how inputs (e.g., program costs, staff time) influence implementation outcomes (e.g., reach, effectiveness). This study demonstrates the application of data envelopment analysis (DEA) as an implementation science tool to evaluate technical efficiency of C3I programs and advance prioritization of implementation resources. METHODS: DEA is a linear programming technique widely used in economics and engineering for assessing relative performance of production units. Using data from 16 C3I-funded centers reported in 2020, we applied input-oriented DEA to model technical efficiency (i.e., proportion of observed outcomes to benchmarked outcomes for given input levels). The primary models used the constant returns-to-scale specification and featured cost-per-participant, total full-time equivalent (FTE) effort, and tobacco treatment specialist effort as model inputs and reach and effectiveness (quit rates) as outcomes. RESULTS: In the DEA model featuring cost-per-participant (input) and reach/effectiveness (outcomes), average constant returns-to-scale technical efficiency was 25.66 (SD = 24.56). When stratified by program characteristics, technical efficiency was higher among programs in cohort 1 (M = 29.15, SD = 28.65, n = 11) vs. cohort 2 (M = 17.99, SD = 10.16, n = 5), with point-of-care (M = 33.90, SD = 28.63, n = 9) vs. no point-of-care services (M = 15.59, SD = 14.31, n = 7), larger (M = 33.63, SD = 30.38, n = 8) vs. smaller center size (M = 17.70, SD = 15.00, n = 8), and higher (M = 29.65, SD = 30.99, n = 8) vs. lower smoking prevalence (M = 21.67, SD = 17.21, n = 8). CONCLUSION: Most C3I programs assessed were technically inefficient relative to the most efficient center benchmark and may be improved by optimizing the use of inputs (e.g., cost-per-participant) relative to program outcomes (e.g., reach, effectiveness). This study demonstrates the appropriateness and feasibility of using DEA to evaluate the relative performance of evidence-based programs.

Implementation, Maintenance, and Outcomes of an Electronic Referral to a Tobacco Quitline Across Five Health Systems.

INTRODUCTION: Electronic referral (e-referral) to quitlines helps connect tobacco-using patients to free, evidence-based cessation counseling. Little has been published about the real-world implementation of e-referrals across U.S. health systems, their maintenance over time, and the outcomes of e-referred patients. AIMS AND METHODS: Beginning in 2014, the University of California (UC)-wide project called UC Quits scaled up quitline e-referrals and related modifications to clinical workflows from one to five UC health systems. Implementation strategies were used to increase site readiness. Maintenance was supported through ongoing monitoring and quality improvement programs. Data on e-referred patients (n = 20 709) and quitline callers (n = 197 377) were collected from April 2014 to March 2021. Analyses of referral trends and cessation outcomes were conducted in 2021-2022. RESULTS: Of 20 709 patients referred, the quitline contacted 47.1%, 20.6% completed intake, 15.2% requested counseling, and 10.9% received it. In the 1.5-year implementation phase, 1813 patients were referred. In the 5.5-year maintenance phase, volume was sustained, with 3436 referrals annually on average. Among referred patients completing intake (n = 4264), 46.2% were nonwhite, 58.8% had Medicaid, 58.7% had a chronic disease, and 48.8% had a behavioral health condition. In a sample randomly selected for follow-up, e-referred patients were as likely as general quitline callers to attempt quitting (68.5% vs. 71.4%; p = .23), quit for 30 days (28.3% vs. 26.9%; p = .52), and quit for 6 months (13.6% vs. 13.9%; p = .88). CONCLUSIONS: With a whole-systems approach, quitline e-referrals can be established and sustained across inpatient and outpatient settings with diverse patient populations. Cessation outcomes were similar to those of general quitline callers. IMPLICATIONS: This study supports the broad implementation of tobacco quitline e-referrals in health care. To the best of our knowledge, no other paper has described the implementation of e-referrals across multiple U.S. health systems or how they were sustained over time. Modifying electronic health records systems and clinical workflows to enable and encourage e-referrals, if implemented and maintained appropriately, can be expected to improve patient care, make it easier for clinicians to support patients in quitting, increase the proportion of patients using evidence-based treatment, provide data to assess progress on quality goals, and help meet reporting requirements for tobacco screening and prevention.

Smoking Cessation, Version 3.2022, NCCN Clinical Practice Guidelines in Oncology.

Although the harmful effects of smoking after a cancer diagnosis have been clearly demonstrated, many patients continue to smoke cigarettes during treatment and beyond. The NCCN Guidelines for Smoking Cessation emphasize the importance of smoking cessation in all patients with cancer and seek to establish evidence-based recommendations tailored to the unique needs and concerns of patients with cancer. The recommendations contained herein describe interventions for cessation of all combustible tobacco products (eg, cigarettes, cigars, hookah), including smokeless tobacco products. However, recommendations are based on studies of cigarette smoking. The NCCN Smoking Cessation Panel recommends that treatment plans for all patients with cancer who smoke include the following 3 tenets that should be done concurrently: (1) evidence-based motivational strategies and behavior therapy (counseling), which can be brief; (2) evidence-based pharmacotherapy; and (3) close follow-up with retreatment as needed.

A Proactive Outreach Strategy Using a Local Area Code to Refer Unassisted Smokers in a Safety Net Health System to a Quitline: A Pragmatic Randomized Trial.

INTRODUCTION: Proactive outreach offering tobacco treatment is a promising strategy outside of clinical settings, but little is known about factors for engagement. The study objective is to examine the impact of caller area code in a proactive, phone-based outreach strategy on consenting low-income smokers to a quitline e-referral. AIMS AND METHODS: This pragmatic randomized trial included unassisted adult smokers (n = 685), whose preferred language was English or Spanish, in a Los Angeles safety-net health system. Patients were randomized to receive a call from a local or generic toll-free area code. Log-binomial regression was used to examine the association between area code and consent to a quitline e-referral, adjusted for age, gender, language, and year. RESULTS: Overall, 52.1% of the patients were contacted and, among those contacted, 30% consented to a referral. The contact rate was higher for the local versus generic area code, although not statistically significant (55.6% vs. 48.7%, p = .07). The consent rate was higher in the local versus generic area code group (adjusted prevalence ratio 1.29, 95% CI 1.01-1.65) and also higher for patients under 61 years old than over (adjusted prevalence ratio 1.47, 95% CI 1.07-2.01), and Spanish-speaking than English-speaking patients (adjusted prevalence ratio 1.40, 95% CI 1.05-1.86). CONCLUSIONS: Proactive phone-based outreach to unassisted smokers in a safety net health system increased consent to a quitline referral when local (vs. generic) area codes were used to contact patients. While contact rate did not differ by area code, proactive phone-based outreach was effective for engaging younger and Spanish-speaking smokers. IMPLICATIONS: Population-based proactive phone-based outreach from a caller with a local area code to unassisted smokers in a safety net health system increases consent to an e-referral for quitline services. Findings suggest that a proactive phone-based outreach, a population-based strategy, is an effective strategy to build on the visit-based model and offer services to tobacco users, regardless of the motivational levels to quit.

Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study.

INTRODUCTION: Available evidence is mixed concerning associations between smoking status and COVID-19 clinical outcomes. Effects of nicotine replacement therapy (NRT) and vaccination status on COVID-19 outcomes in smokers are unknown. METHODS: Electronic health record data from 104 590 COVID-19 patients hospitalized February 1, 2020 to September 30, 2021 in 21 U.S. health systems were analyzed to assess associations of smoking status, in-hospital NRT prescription, and vaccination status with in-hospital death and ICU admission. RESULTS: Current (n = 7764) and never smokers (n = 57 454) did not differ on outcomes after adjustment for age, sex, race, ethnicity, insurance, body mass index, and comorbidities. Former (vs never) smokers (n = 33 101) had higher adjusted odds of death (aOR, 1.11; 95% CI, 1.06-1.17) and ICU admission (aOR, 1.07; 95% CI, 1.04-1.11). Among current smokers, NRT prescription was associated with reduced mortality (aOR, 0.64; 95% CI, 0.50-0.82). Vaccination effects were significantly moderated by smoking status; vaccination was more strongly associated with reduced mortality among current (aOR, 0.29; 95% CI, 0.16-0.66) and former smokers (aOR, 0.47; 95% CI, 0.39-0.57) than for never smokers (aOR, 0.67; 95% CI, 0.57, 0.79). Vaccination was associated with reduced ICU admission more strongly among former (aOR, 0.74; 95% CI, 0.66-0.83) than never smokers (aOR, 0.87; 95% CI, 0.79-0.97). CONCLUSIONS: Former but not current smokers hospitalized with COVID-19 are at higher risk for severe outcomes. SARS-CoV-2 vaccination is associated with better hospital outcomes in COVID-19 patients, especially current and former smokers. NRT during COVID-19 hospitalization may reduce mortality for current smokers. IMPLICATIONS: Prior findings regarding associations between smoking and severe COVID-19 disease outcomes have been inconsistent. This large cohort study suggests potential beneficial effects of nicotine replacement therapy on COVID-19 outcomes in current smokers and outsized benefits of SARS-CoV-2 vaccination in current and former smokers. Such findings may influence clinical practice and prevention efforts and motivate additional research that explores mechanisms for these effects.

Quitline Promotion to Medicaid Members Who Smoke: Effects of COVID-19-Specific Messaging and a Free Patch Offer.

INTRODUCTION: People who smoke are at increased risk of serious COVID-19-related disease but have had reduced access to cessation treatment during the pandemic. This study tested 2 approaches to promoting quitline services to Medicaid members who smoke at high rates: using COVID-19-specific messaging and offering free nicotine patches. The hypotheses were that both would increase enrollment. METHODS: A California Medicaid mailing from October 2020 to January 2021 (N=7,489,093) included 4 versions of a flyer following a 2 × 2 design comparing generic with COVID-19-specific messaging and a no-patch with free-patch offer. The main outcome measure was quitline enrollments. Quit outcomes (attempted quitting, quit ≥7 days, quit ≥30 days) were assessed at 2 months. A subsequent free-patch offer was sent to all members (N=7,577,198) from April 2021 to June 2021. Data were collected in 2020-2021 and analyzed in 2022. RESULTS: The first mailing generated 1,753 enrollments. Response rates were 0.023% and 0.024% for generic and COVID-19-specific messaging, respectively (p=0.538), and 0.006% and 0.041% for no-patch and free-patch offers, respectively, the latter being 6.7 times more effective than the former (p<0.0001). Quit outcomes were comparable across conditions. The subsequent free-patch offer generated 3,546 enrollments at $40.28 per enrollee. CONCLUSIONS: In a Medicaid mailing during COVID-19, offering free patches generated more than 6 times as many quitline enrollments as offering generic help. COVID-19-specific messaging was no more effective than generic messaging. Offering free patches was highly cost-effective. Medicaid programs partnering with quitlines should consider using similar strategies, especially during a pandemic when regular health care is disrupted.

Tobacco and Cannabis Use During and After Pregnancy in California.

OBJECTIVES: As the social and legal acceptance of cannabis use grows, health professionals must understand and mitigate the impact of cannabis use in the perinatal period. Here we compare the prevalence of tobacco and cannabis use during and after pregnancy in California, a state that recently legalized cannabis use. METHODS: Measures of tobacco and cannabis use during and after pregnancy were obtained from California's Maternal and Infant Health Assessment, an annual population-based survey of California resident women with a live birth. To allow analysis of county-level variation, we pooled data from the 35 counties with the largest numbers of births from 2017 to 2019. RESULTS: Cannabis use was more than twice as common as cigarette smoking among pregnant women (4.9% vs. 2.1%) in California. This difference was even more pronounced in some counties; for example, in Los Angeles, cannabis use was four times more prevalent than cigarette use. Either during or soon after birth, 7.3% of women in California reported cannabis use. Of those who smoked tobacco cigarettes prior to pregnancy, 73% quit before their third trimester of pregnancy, though 33.0% of these women reported a post-partum relapse in cigarette use. CONCLUSIONS: States that have legalized cannabis must attend to the increasing prevalence of perinatal cannabis use, as well as concurrent use with tobacco and other substances. Efforts to support cannabis cessation should draw from successful public health approaches in tobacco control.

Current Smoking and Risk of Coronavirus Infection and Illness in a Highly Controlled Challenge Study: A Re-analysis of the British Cold Study.

INTRODUCTION: Meta-analyses have shown an association between smoking and the risk of Coronavirus Disease 2019 (COVID-19) disease severity, but the risk of smoking and coronavirus infection is less clear. AIMS AND METHODS: We re-analyzed data from the British Cold Study, a 1986-1989 challenge study that exposed 399 healthy adults to 1 of 5 "common cold" viruses (including n = 55 for coronavirus 229E). Participants with cotinine levels below 15 ng/mL (noncurrent smokers) were compared with participants with higher cotinine levels or self-reported smoking (current smokers). We calculated overall and coronavirus-specific unadjusted and adjusted relative risks (RRs) for current smoking and each outcome (infection and illness), and tested whether each association was modified by the type of respiratory virus. RESULTS: Current smokers had a higher adjusted risk than noncurrent smokers for infection (adjusted RR [aRR] = 1.12, 95% CI: 1.01, 1.25) and illness (aRR = 1.48, 95% CI: 1.11, 1.96). Neither association was modified by an interaction term for smoking and type of virus (infection: p = .44, illness: p = .70). The adjusted RR estimates specific to coronavirus 229E for infection (aRR = 1.22, 95% CI: .91, 1.63) and illness (RR = 1.14, 95% CI: .62, 2.08) were not statistically significant. CONCLUSIONS: These RRs provide estimates of the strength of associations between current smoking and infection and illness that can be used to guide tobacco control decisions. IMPLICATIONS: Systematic reviews and meta-analyses have found an association between smoking and COVID-19 disease severity, but fewer studies have examined infection and illness. The British Cold Study, a high-quality challenge study that exposed healthy volunteers to respiratory viruses including a coronavirus, provides an opportunity to estimate the RR for current smoking and infection and illness from coronaviruses and other viruses to guide tobacco control decisions. Compared with noncurrent smokers, current smokers had a 12% increased risk of having a laboratory-confirmed infection and a 48% increased risk of a diagnosed illness, which was not modified by the type of respiratory virus including a coronavirus.

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin.

BACKGROUND: There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics. METHODS: Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined. RESULTS: 6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46-1.70] and 1.04 (95% CI, 0.96-1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53-0.90). CONCLUSIONS: Current cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types. IMPACT: This study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3.

Flavored Tobacco Sales Restrictions and Teen E-cigarette Use: Quasi-experimental Evidence From California.

INTRODUCTION: Flavored tobacco sales restrictions (FTSRs) are implemented to reduce access to flavored tobacco products. We examined the association between seven cities with local FTSRs implemented in 2018/2019 and e-cigarette use among high school students in the California Bay Area. AIMS AND METHODS: We analyzed data from the California Healthy Kids Survey using a difference-in-differences (D-I-D) strategy. We compared pre- and post-policy changes one year after implementation in current and ever e-cigarette use among students attending school in a city with a FTSR (exposed) (n = 20 832) versus without (unexposed) (n = 66 126). Other outcomes included ever marijuana use in an e-cigarette and ease of access to e-cigarettes. RESULTS: Pre- to post-policy, the adjusted odds of current and ever e-cigarette use did not significantly change among students exposed and unexposed to a FTSR. In the adjusted D-I-D analysis, the odds of current (aOR: 1.25, 95% CI: 0.95, 1.65) and ever e-cigarette use (aOR: 1.06, 95% CI: 0.89, 1.26) did not significantly change by exposure group. However, one year post-implementation, the odds of ease of access to e-cigarettes significantly increased among exposed (aOR: 1.57, 95% CI: 1.27, 1.95) and unexposed students (aOR: 1.54, 95% CI: 1.39, 1.70). Similarly, the odds of ever using marijuana in an e-cigarette significantly increased among exposed (aOR: 1.35, 95% CI: 1.19, 1.53) and unexposed students (aOR: 1.29, 95% CI: 1.20, 1.39). CONCLUSIONS: Local FTSRs in the California Bay Area were not associated with a change in e-cigarette use one year post-implementation. Increased ease of access and marijuana use may be explanatory factors. IMPLICATIONS: FTSRs were not associated with a decrease in current or ever e-cigarette use among high school students in the California Bay Area one-year post-implementation. Potential explanatory factors are that ease of access to e-cigarettes and using marijuana in an e-cigarette increased. More research is needed to understand the influence of these factors on youth access and behaviors. To address the youth e-cigarette epidemic, a comprehensive approach is needed, including policies, media campaigns, education programs, and cessation tools targeted to youth.

Evaluation of Cancer Deaths Attributable to Tobacco in California, 2014-2019.

Importance: California's tobacco control efforts have been associated with a decrease in cancer mortality, but these estimates are based on smoking prevalence of the general population. Patient-level tobacco use information allows for more precise estimates of the proportion of cancer deaths attributable to smoking. Objective: To calculate the proportion (smoking-attributable fraction) and number (smoking-attributable cancer mortality) of cancer deaths attributable to tobacco use using patient-level data. Design, Setting, and Participants: The smoking-attributable fraction and smoking-attributable cancer mortality were calculated for a retrospective cohort of patients whose cancer was diagnosed from 2014 to 2019 with at least 1 year of follow-up using relative risks from large US prospective studies and patient-level smoking information. Follow-up continued through April 2022. A population-based cohort was identified from the California Cancer Registry. Participants included adults aged 20 years and older with a diagnosis of 1 of the 12 tobacco-related cancers (oral cavity or pharynx, larynx, esophagus, lung, liver, stomach, pancreas, kidney, bladder, colon or rectum, cervix, and acute myeloid leukemia). Exposures: Tobacco use defined as current, former, or never. Main Outcomes and Measures: The primary outcomes were the smoking-attributable fraction and smoking-attributable cancer mortality for each of the 12 tobacco-related cancers over 2 time periods (2014-2016 vs 2017-2019) and by sex. Results: Among 395 459 patients with a tobacco-related cancer, most (285 768 patients [72.3%]) were older than 60 years, the majority (228 054 patients [57.7%]) were non-Hispanic White, 229 188 patients were men (58.0%), and nearly one-half (184 415 patients [46.6%]) had lung or colorectal cancers. Nearly one-half of the deaths (93 764 patients [45.8%]) in the cohort were attributable to tobacco. More than one-half (227 660 patients [57.6%]) of patients had ever used tobacco, and 69 103 patients (17.5%) were current tobacco users, which was higher than the proportion in the general population (11.7%). The overall smoking-attributable fraction of cancer deaths decreased significantly from 47.7% (95% CI, 47.3%-48.0%) in 2014 to 2016 to 44.8% (95% CI, 44.5%-45.1%) in 2017 to 2019, and this decrease was seen for both men and women. The overall smoking-attributable cancer mortality decreased by 10.2%. Conclusions and Relevance: California still has a substantial burden of tobacco use and associated cancer. The proportion of cancer deaths associated with tobacco use was almost double what was previously estimated. There was a modest but significant decline in this proportion for overall tobacco-associated cancers, especially for women.

The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems.

MAIN OBJECTIVE: There is limited information on how patient outcomes have changed during the COVID-19 pandemic. This study characterizes changes in mortality, intubation, and ICU admission rates during the first 20 months of the pandemic. STUDY DESIGN AND METHODS: University of Wisconsin researchers collected and harmonized electronic health record data from 1.1 million COVID-19 patients across 21 United States health systems from February 2020 through September 2021. The analysis comprised data from 104,590 adult hospitalized COVID-19 patients. Inclusion criteria for the analysis were: (1) age 18 years or older; (2) COVID-19 ICD-10 diagnosis during hospitalization and/or a positive COVID-19 PCR test in a 14-day window (+/- 7 days of hospital admission); and (3) health system contact prior to COVID-19 hospitalization. Outcomes assessed were: (1) mortality (primary), (2) endotracheal intubation, and (3) ICU admission. RESULTS AND SIGNIFICANCE: The 104,590 hospitalized participants had a mean age of 61.7 years and were 50.4% female, 24% Black, and 56.8% White. Overall risk-standardized mortality (adjusted for age, sex, race, ethnicity, body mass index, insurance status and medical comorbidities) declined from 16% of hospitalized COVID-19 patients (95% CI: 16% to 17%) early in the pandemic (February-April 2020) to 9% (CI: 9% to 10%) later (July-September 2021). Among subpopulations, males (vs. females), those on Medicare (vs. those on commercial insurance), the severely obese (vs. normal weight), and those aged 60 and older (vs. younger individuals) had especially high mortality rates both early and late in the pandemic. ICU admission and intubation rates also declined across these 20 months. CONCLUSIONS: Mortality, intubation, and ICU admission rates improved markedly over the first 20 months of the pandemic among adult hospitalized COVID-19 patients although gains varied by subpopulation. These data provide important information on the course of COVID-19 and identify hospitalized patient groups at heightened risk for negative outcomes. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04506528 (https://clinicaltrials.gov/ct2/show/NCT04506528).

Assessment and Counseling Gaps Among Former Smokers Eligible for Lung Cancer Screening in US Adults : A Cross-Sectional Analysis of National Health and Nutrition Examination Surveys (NHANES), 2013-2018.

BACKGROUND: Lung cancer screening (LCS) for former and current smokers requires that current smokers are counseled on tobacco treatment. In the USA, over 4 million former smokers are estimated to be eligible for LCS based on self-report for "not smoking now." Tobacco use and exposure can be measured with the biomarker cotinine, a nicotine metabolite reflecting recent exposure. OBJECTIVE: To examine predictors of tobacco use and exposure among self-reported former smokers eligible for LCS. DESIGN: Cross-sectional study using the 2013-2018 National Health and Nutrition Examination Survey. PARTICIPANTS: Former smokers eligible for LCS (n = 472). MAIN MEASURES: Recent tobacco use was defined as reported tobacco use in the past 5 days or a cotinine level above the race/ethnic cut points for tobacco use. Recent tobacco exposure was measured among former smokers without recent tobacco use and defined as having a cotinine level above 0.05 ng/mL. KEY RESULTS: One in five former smokers eligible for LCS, totaling 1,416,485 adults, had recent tobacco use (21.4%, 95% confidence interval (CI) 15.8%, 27.0%), with about a third each using cigarettes, e-cigarettes, or other tobacco products. Among former smokers without recent tobacco use, over half (53.0%, 95% CI: 44.6%, 61.4%) had cotinine levels indicating recent tobacco exposure. Certain subgroups had higher percentages for tobacco use or exposure, especially those having quit within the past 3 years or living with a household smoker. CONCLUSIONS: Former smokers eligible for LCS should be asked about recent tobacco use and exposure and considered for cotinine testing. Nearly 1.5 million "former smokers" eligible for LCS may be current tobacco users who have been missed for counseling. The high percentage of "passive smokers" is at least double that of the general nonsmoking population. Counseling about the harms of tobacco use and exposure and resources is needed.

Factors Associated With Receipt of Smoking Cessation Advice and Assistance by Health Professionals Among Latino and Non-Latino White Smokers With Medicaid Insurance in California.

Importance: Nationally, Latino smokers are less likely than non-Latino White smokers to receive advice and assistance from health professionals to quit smoking. California's Medicaid expansion included the Patient Protection and Affordable Care Act's comprehensive tobacco cessation benefits; however, it is unknown whether expanded coverage helped resolve this disparity. Objective: To examine the association between race and ethnicity (Latino and non-Latino White) and health professional cessation advice and assistance among smokers with Medi-Cal insurance in the post-Affordable Care Act period. Design, Setting, and Participants: This repeated cross-sectional study was conducted with the 2014 and 2016-2018 California Health Interview Survey. A total of 1861 Latino and non-Latino White current smokers aged 18 to 64 years who had Medi-Cal insurance and consulted a health professional in the past 12 months were included. Data were analyzed between December 1, 2019, and April 30, 2021. Exposure: Race and ethnicity classified as Latino or non-Latino White. Main Outcomes and Measures: The outcomes were receipt of health professional advice to quit smoking or assistance to quit in the past 12 months. Logistic regression was used to examine the association between race and ethnicity and each outcome, adjusted for sociodemographic factors, smoking behavior, health care factors, and acculturation measures. All estimates were weighted to adjust for the complex survey design. Results: Among 1861 participants, 44.8% were Latino, 53.8% were aged 40 years or older (mean [SE], 39.7 [0.79] years), 54.1% were male, and 59.9% had less than a high school education. Latino smokers were less likely than non-Latino White smokers to receive health professional advice (38.3% Latino smokers vs 55.3% non-Latino White smokers) or assistance (21.8% Latino smokers vs 35.7% non-Latino White smokers). In the unadjusted model, compared with non-Latino White smokers, Latino smokers were less likely to receive advice (odds ratio [OR], 0.50; 95% CI, 0.29-0.86) and also less likely to receive assistance (OR, 0.50; 95% CI, 0.25-1.00). However, in the adjusted model, race was no longer significant. Smokers with more office visits (adjusted OR, 2.44; 95% CI, 1.61-3.70) and those with at least 1 chronic disease (adjusted OR, 1.99; 95% CI, 1.15-3.43) were more likely to receive advice from a health professional. Additionally, daily smokers compared with nondaily smokers (adjusted OR, 2.29; 95% CI, 1.03-5.13) were more likely to receive assistance. Conclusions and Relevance: In this cross-sectional study, more office visits, having a chronic disease, and daily smoking were associated with an increased likelihood of receiving smoking cessation advice or assistance. Use of strategies to engage tobacco users outside of the clinic, such as proactive outreach and community-based engagement, may help address this disparity.

Strategies and lessons learned for smoke and Tobacco-Free policy change on community colleges with community-based support.

Objective: Community colleges face challenges to becoming smoke-free and have higher smoking prevalence rates than four-year colleges. This case study examines how Sacramento Taking Action Against Nicotine Dependence (STAND), a community-based organization's project, achieved tobacco-free policies at California's second largest community college district. Methods: Data sources describing the STAND policymaking activities (2001-2016) include evaluation reports and key informant interviews (n = 9) with community college nursing staff, former STAND staff, and other Sacramento tobacco control partners. Reports and interview transcripts were analyzed using content analysis. Results: Collecting campus data and engaging campus champions were key strategies to demonstrate internal support for stronger policies, as STAND faced resistance from the District leadership. External momentum encouraged the campuses to adopt 100% smoke, tobacco and vape-free policies. Conclusion: Community-based organizations can facilitate long-term support for smoke and tobacco-free campus policymaking efforts at community colleges, as internal and external support is demonstrated for more comprehensive policies.