Feasibility of mailed biomarker data collection among U.S. young adults: Saliva-based cotinine and self-reported nicotine use.

BACKGROUND: Nationally representative self-report studies are the standard for data on the prevalence of substance use. Newly emerging biomarker assessments can add objective measurements of exposure. However, biomarker assessment has typically depended on in-person sample collection. The current study examined whether young adults in a national sample would be willing and able to provide a saliva sample via mail, and the correspondence of cotinine in the saliva sample with self-reported vaping and smoking. METHODS: Data collection for the Monitoring the Future (MTF) Vaping Supplement was from September to November 2020. Eligible participants (N = 4358) were selected from a nationally-representative sample of US 12th-grade students in MTF in spring 2019. The MTF Vaping Supplement surveyed individuals nationally about one year after the 12th grade MTF survey (in 2020, mean age = 19.6 years; N = 1244). Survey weights accounted for design and attrition. RESULTS: Of those surveyed, 66.2% consented to provide a saliva sample and, of those, 73.8% mailed a sample. There were no significant differences in providing a saliva sample across any demographic characteristic, but those who reported nicotine use were less likely to provide a sample. Cotinine cut-off measures of > 3 ng/mL and > 10 ng/mL had good correspondence with self-reported measures. CONCLUSIONS: Results support the feasibility of collecting saliva via the mail in a national sample and the validity of data collected in this way. These findings support future research innovations to expand existing survey research protocols to include biomarker data collection in representative samples of young adults.

Increased nicotine vaping due to the COVID-19 pandemic among US young adults: Associations with nicotine dependence, vaping frequency, and reasons for use.

Previous research has not examined increased vaping because of the pandemic using a national sample of young adults (YAs), which is a critical gap because pandemic-related increases in vaping among YAs could have important implications for nicotine dependence, prolonged regular use, and using substances to cope with stress. We examined self-reported increased vaping attributed to the COVID-19 pandemic among YAs, and its associations with outcomes that have important implications for future nicotine use. Data came from the Monitoring the Future (MTF) Vaping Supplement. Participants were selected from a nationally representative sample of US 12th-graders who were surveyed at age 19 in fall 2020 (N = 1244). Cross-sectional analyses of the 2020 survey included YAs who vaped nicotine in the past year (35%; N = 440). Weighted descriptive analyses and logistic regression models examined self-reported pandemic-related increased vaping (vs. decreased vaping, or no change), and its associations with current nicotine dependence, vaping behavior, and reasons for vaping. Among YAs who vaped nicotine in the past year, 16.8% reported increased and 44.4% reported decreased vaping due to the pandemic, while 38.9% reported no change. Increased vaping (vs. decreased and/or no change) was significantly associated with nicotine dependence symptoms, current regular nicotine vaping, and vaping to relax, get high, and because of boredom. Self-reported increased vaping because of the pandemic was associated with increased risk for current nicotine dependence and frequent use. Increased vaping may have been a form of coping with pandemic-related stressors, which increases risk for future substance use problems.

Daily fluctuations in drinking intensity: Links with vaping and combustible use of nicotine and marijuana.

BACKGROUND: Whether alcohol use intensity on a given day is linked with nicotine or marijuana use that same day is not well known, nor are links of drinking intensity with different modes of nicotine and marijuana use. This study examined these within-person links across 14 days in a national sample of young adults (YAs). METHODS: Past 30-day drinkers participating in the U.S. nationally representative Monitoring the Future study of 12th graders in 2018, who also reported alcohol use during a 14-day data collection one year later in the Young Adult Daily Life Study in 2019, were included (N = 487). Weighted multilevel modeling estimated within- and between-person associations of drinking intensity with cigarette smoking, nicotine vaping, marijuana smoking, and marijuana vaping. RESULTS: Within-person fluctuations in drinking intensity on a given day were associated with cigarette smoking, nicotine vaping, and marijuana smoking, but not marijuana vaping. There were significant between-person associations of means of drinking intensity and each outcome, except for cigarette smoking. CONCLUSION: Drinking intensity on a given day was associated with multiple modes of nicotine use and marijuana smoking that day. Nicotine and marijuana use remain critical areas of concern for public health, and future research and interventions should consider the comorbidity of drinking intensity and multiple modes of nicotine and marijuana use. Focusing on the same-day use of alcohol may provide a tailored avenue for preventing and reducing nicotine and marijuana emerging trends among YAs.

Cigarette Pack Price and Its Within-Person Association With Smoking Initiation, Smoking Progression, and Disparities among Young Adults.

BACKGROUND: There is a dearth of research on within-person relationships between tobacco price and cigarette smoking initiation and progression in young adulthood. This project examines the within-person association between cigarette pack price and smoking initiation and progression between age 18 and 21/22, focusing on differences across subgroups. METHODS: Data came from the longitudinal Monitoring the Future (MTF) project. MTF examines drug use behaviors with nationally representative samples of 12th graders annually. Subsamples of 12th graders are annually selected and followed longitudinally. Among 12th graders from baseline years 2000-2014, we examined past 30-day cigarette smoking initiation among baseline never smokers (N = 15 280) and progression to daily smoking among youth who were not daily smokers at baseline (N = 26 998). We used hierarchical logistic regression and interaction terms to assess differences across sex, race/ethnicity, and parental education. RESULTS: The within-person relationship between pack price and smoking indicated that a one-dollar increase in pack price corresponded with a 72% decrease in the odds of initiation (AOR = 0.28, 95% CI = 0.18, 0.44) and 70% decrease in the odds of progression to daily smoking (AOR = 0.30, 95% CI = 0.21, 0.44). There was a linear age trend for both smoking initiation and progression. There were no statistically significant interactions between price and demographics, making it difficult to disentangle differences across subgroups. CONCLUSIONS: Exposure to increased cigarette prices during young adulthood was associated with lower odds of cigarette smoking initiation and progression. Additional policies and programs beyond cigarettes prices could help reduce tobacco-related disparities in smoking initiation and progression among young adults. IMPLICATIONS: There is a strong, within-person relationship between cigarette prices and smoking initiation and progression during the transition to young adulthood: higher prices are associated with decreased odds of both initiation and progression. Cigarette taxation can help to prevent smoking initiation and progression among youth, but it is less clear how taxes are associated with disparities in smoking experienced by certain subgroups. We could not draw definitive conclusions about the impact of cigarette prices on tobacco-related disparities. Tobacco taxes should be increased on a regular basis to ensure young adults experience within-person increases in prices, and complementary programs geared toward reducing tobacco-related disparities among young adults should be promoted.

Protective Factors for Nicotine and Marijuana Vaping Among U.S. Adolescents.

INTRODUCTION: Nicotine and marijuana vaping among U.S. adolescents are public health priorities. Research has assessed the demographic and risk factors related to vaping, but there is a dearth of research on protective factors for vaping. On the basis of the healthy youth development perspective, the developmental assets framework is used to assess cumulative protective factors and vaping in a national sample of adolescents. METHODS: Data came from the nationally representative Monitoring the Future study, consisting of 12th graders (n=6,982) from the 48 contiguous U.S. states (2017-2019). Past 30-day nicotine and marijuana vaping and developmental assets (low, medium, or high) were examined. Covariates included demographics and other substance use. Weighted descriptive statistics, logistic regression, postestimation analyses, and multiple imputation were used. RESULTS: Students with higher assets were less likely to vape nicotine and marijuana, even after adjusting for covariates. The odds of nicotine vaping were lower for students with medium assets (AOR=0.65, 95% CI=0.54, 0.78) and high assets (AOR=0.22, 95% CI=0.16, 0.29) than for students with low assets. Similarly, the odds of marijuana vaping were lower for youth with medium assets (AOR=0.54, 95% CI=0.42, 0.69) and high assets (AOR=0.09, 95% CI=0.05, 0.18) than for those with low assets. Social competence and positive peer norms were strongly protective against both forms of vaping. CONCLUSIONS: The healthy youth development perspective applies to the critical issues of nicotine and marijuana vaping among adolescents. Promoting cumulative assets may help to prevent vaping among U.S. adolescents, and increasing the specific assets of social competence and positive peer norms could be particularly fruitful.

Impact of nicotine reduction in cigarettes on smoking behavior and exposure: Are there differences by race/ethnicity, educational attainment, or gender?

BACKGROUND: Lowering nicotine in cigarettes may reduce smoking prevalences; however, it is not known whether an immediate or gradual reduction in nicotine is the optimal approach for all population groups. OBJECTIVES: We examined whether the optimal approach to nicotine reduction depended on the education, gender, or race of people who smoke and whether the optimal approach differentially benefited people who smoke based on their education, gender, or race. METHODS: Secondary analysis was conducted on a randomized clinical trial (N = 1250) comparing (1) immediate reduction from 15.5 to 0.4 mg of nicotine per gram of tobacco(mg/g);(2) gradual reduction to 0.4 mg/g;(3) control group with normal nicotine cigarettes(15.5 mg/g). Outcomes included cigarettes per day(CPD), carbon monoxide(CO), total nicotine equivalents(TNE), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol and its glucuronides(NNAL), phenanthrene tetraol(PheT), N-Acetyl-S-(2-cyanoethyl)-l-cysteine(CEMA). Data were analyzed as area under the curve(AUC). RESULTS: Results were presented by education (High school[HS] or less n = 505, more than HS n = 745), gender (males n = 701, females n = 549), and race (Black participants n = 373,White participants n = 758). Regardless of education, gender, and race, CPD, CO, TNE, NNAL, PheT, and CEMA were lower in immediate versus gradual nicotine reduction. Comparing immediate versus the control, outcomes were lower for all subgroups; however, the magnitude of the effect for TNE varied by race. Specifically, geometric mean of the AUC of TNE in immediate versus gradual was 49 % lower in Black participants and 61 % lower in White participants (p-value = 0.047). CONCLUSIONS: Immediately reducing nicotine in cigarettes has the potential to benefit people who smoke across lower and higher educational attainment, male and female gender, and Black and White race.

Tobacco Taxation and Its Prospective Impact on Disparities in Smoking Initiation and Progression Among Young Adults.

PURPOSE: Limited research exists on tobacco taxes and cigarette smoking initiation and progression, particularly across different sociodemographic groups in young adulthood. This project examines how cigarette pack price in late adolescence prospectively relates to smoking initiation and progression by 21 years of age, focusing on differences across demographics. METHODS: Data are from the longitudinal Monitoring the Future project (2001-2017). Monitoring the Future examines drug use behaviors with nationally representative samples of 12th graders annually. Subsamples of 12th graders are followed up longitudinally. We examined past 30-day cigarette smoking among baseline never smokers (N = 9,232) and daily smoking among youths who were not daily cigarette smokers at baseline (N = 15,141). Using logistic regression, we examined state-level cigarette pack price at a modal age of 18 years and smoking at follow-up ages 19-20 years; we used interaction terms to assess differences across sociodemographic groups (by gender, race/ethnicity, and parental education). RESULTS: For each dollar increase in price at baseline, the odds of initiation by age 19-20 years were reduced by 12% (adjusted odds ratio = .88; 95% confidence interval = .78, .99) and the odds of progression to daily smoking were reduced by 16% (adjusted odds ratio = .84; 95% confidence interval = .76, .92). After adjusting for multiple testing, for both outcomes there were no statistically significant interactions between price and demographics. CONCLUSIONS: Cigarette prices in late adolescence were associated with a prospective reduction in cigarette smoking initiation and progression among young adults, with limited differences across sociodemographic characteristics. Higher cigarette prices can prevent smoking initiation and progression; however, complementary interventions are needed to reduce initiation and progression among subgroups disproportionately affected by tobacco.

Patterns of Tobacco Use and Related Protective Factors Among Somali Youth in the United States.

Anti-smoking norms and educational aspirations are established tobacco prevention targets for general United States (U.S.) adolescent populations but protective factors remain poorly characterized for Somali-American youth. Here we describe patterns of past 30-day tobacco use and associated protective factors among eighth, ninth, and eleventh grade Somali adolescent respondents (n = 2009) to the 2016 Minnesota Student Survey using multivariate logistic regressions. E-cigarette (5.7%) and hookah (5.0%) use were most prevalent. Male youth reported higher levels of tobacco use across products. Adjusted odds ratios showed that internal developmental assets (e.g., e-cigarettes aOR 0.37, 95% CI 0.37, 0.79) and parental anti-smoking norms (e.g., e-cigarettes aOR 0.19, 95% CI 0.09, 0.38) protected against use of all tobacco products. E-cigarettes and hookah are prevalent among U.S. Somali youth, highlighting the need for prevention efforts that address emerging tobacco products and leverage protective factors such as internal assets and parental anti-smoking norms.

How do high school seniors get marijuana? Prevalence and sociodemographic differences.

INTRODUCTION: Efforts to understand how adolescents acquire marijuana will help to contextualize its use among youth. Little is known about ways of getting marijuana and how they differ between subgroups of adolescents. The present study sought to determine how adolescents get marijuana and if modes of access vary by sociodemographic characteristics. METHOD: Data were from the nationally representative Monitoring the Future study of 12th graders in the United States from 2012 to 2018 (N = 4262 students). Participants used marijuana in the past 12 months and were asked how they got marijuana. Multivariable logistic regression models were used to predict modes of getting marijuana based on sex, race/ethnicity, urbanicity, parental education, and survey year. Cross-tabulation analyses compared how recent frequent and non-frequent use related to ways of getting marijuana. RESULTS: The most endorsed methods of getting marijuana were given for free by friends, bought from friends, and bought from a drug dealer/stranger. Differences by sociodemographic subgroup and recent frequent use emerged, including for riskier modes of obtainment such as buying from a drug dealer/stranger (for male students, urban students, and recent frequent users). Recent frequent users were more likely to endorse getting marijuana by nearly each method, except non-frequent users were more likely to be given marijuana for free by friends. DISCUSSION: Understanding the prevalence of different modes of getting marijuana among adolescents and which subgroups are most susceptible to riskier means of getting marijuana will allow drug use prevention efforts to be tailored appropriately so as to maximize effectiveness.

Reducing Socioeconomic Disparities in Comprehensive Smoke-Free Rules among Households with Children: A Pilot Intervention Implemented through a National Cancer Program.

Most households with a smoker do not implement comprehensive smoke-free rules (smoke-free homes and cars), and secondhand smoke (SHS) exposure remains prevalent among children and low-socioeconomic status (SES) populations. This pilot project aimed to assess implementation feasibility and impact of an intervention designed to increase smoke-free rules among socioeconomically disadvantaged households with children. The pilot was implemented through Minnesota's National Breast and Cervical Cancer Early Detection Program (NBCCEDP). NBCCEDPs provide cancer prevention services to low-income individuals experiencing health disparities. We successfully utilized and adapted the Smoke-Free Homes Program (SFHP) to address comprehensive smoke-free rules among households with children. We used two recruitment methods: (a) direct mail (DM) and (b) opportunistic referral (OR) by patient navigators in the NBCCEDP call center. We used descriptive statistics to assess implementation outcomes and hierarchical logistic regression models (HLM) to assess change in smoke-free rules and SHS exposure over the study period. There was no comparison group, and HLM was used to examine within-person change. A total of 64 participants were recruited. Results showed 83% of participants were recruited through DM. OR had a high recruitment rate, and DM recruited more participants with a low response rate but higher retention rate. Among recruited participants with data (n = 47), smoke-free home rules increased by 50.4 percentage points during the study period (p < 0.001). Among recruited participants who had a vehicle (n = 38), smoke-free car rules increased by 37.6 percentage points (p < 0.01) and comprehensive smoke-free rules rose 40.9 percentage points (p < 0.01). Home SHS exposure declined, and within-person increase in smoke-free home rules was significantly related to less home SHS exposure (p < 0.05). It is feasible to adapt and implement the evidence-based SFHP intervention through a national cancer program, but the current pilot demonstrated recruitment is a challenge. DM produced a low response rate and therefore OR is the recommended recruitment route. Despite low recruitment rates, we conclude that the SFHP can successfully increase comprehensive smoke-free rules and reduce SHS exposure among socioeconomically disadvantaged households with children recruited through a NBCCEDP.

Location and duration of secondhand smoke exposure among Minnesota Nonsmokers, 2018.

In 2007 Minnesota passed into law a comprehensive ban on indoor smoking of tobacco products in public places including bars, restaurants, and workplaces. Despite reductions in smoking prevalence in the past 12 years, people are still exposed to secondhand smoke (SHS). It remains important to understand where and how long nonsmokers face exposure to SHS. The 2018 Minnesota Adult Tobacco Survey was analyzed to examine self-reported SHS exposure among nonsmoking adults. We report prevalence and 95 percent confidence intervals of SHS exposure overall, by specific locations, and by demographics. Length of exposure to SHS was summarized in median minutes. Overall, 30 percent of nonsmokers reported exposure in the past seven days. A total of 1382 participants indicated a location of exposure. The most common locations other than one's own home or car included building entrances (18.7 [16.2-21.1] percent), somewhere else outdoors (17.7 [15.1-20.3] percent), and restaurant/bar patios (12.8 [10.5-15.0] percent). Exposure was more likely to be reported by young adults (44.6 percent) and males (33.7 percent). The locations with the longest duration of SHS exposure in the prior seven days were a gambling venue (117.2 [72.2-162.2] minutes), another person's home (26.1 [15.4-36.8] minutes), and a bus stop (10.8 [4.7-16.9] minutes). Monitoring nonsmokers' self-reported exposure to SHS remains important as a way to measure the impact and compliance with smoke-free policies. Additional information on the location and duration of exposure can be used programmatically to address high levels of exposure and consider additional policies or strategies.

Parental incarceration and youth tobacco product use: Implications for prevention and the e-cigarette epidemic.

PURPOSE: Youth smokers have high rates of adverse childhood experiences, and particularly parental incarceration (PI). In Minnesota, 16% of youth have experienced PI, but 55% of daily smokers report PI. However, no research has examined how PI relates to a range of tobacco products, which is critical considering the current e-cigarette epidemic. There is also limited research on protective factors for tobacco use among youth with PI. METHODS: Data came from 2016 Minnesota Student Survey (N = 111,091); 85% of Minnesota schools participated. We assessed 30-day use of cigarettes, non-cigarette combustible products, smokeless products, e-cigarettes, and dual/poly use. Using descriptive statistics and logistic regressions, we compared use across current, previous, and no PI experience. We also tested how protective factors related to tobacco use. RESULTS: Youth with current PI experience used all products with higher frequency compared to youth with previous and no PI experience. Use prevalence among youth with current PI were 26.0% (95% CI = 24.1, 27.8) for e-cigarettes, 20.8% (95% CI = 19.1, 22.5) for dual/poly use, 17.8% (95% CI = 16.2, 19.5) for cigarettes, 17.4% (95% CI = 15.8, 19.0) for combustible non-cigarettes, and 9.9% (95% CI = 8.6, 11.2) for smokeless products. Nearly all protective factors were significantly and negatively related to use of all products, regardless of PI experience. CONCLUSIONS: Youth with PI experience are at high risk for using multiple tobacco products. These disparities were most pronounced for e-cigarettes, demonstrating the e-cigarette epidemic is disproportionately occurring among youth with current and previous PI experience. All examined protective factors buffer risks for this population of youth.

Adverse Childhood Experiences and Youth Cigarette Use in 2013 and 2016: Emerging Disparities in the Context of Declining Smoking Rates.

INTRODUCTION: Cigarette use has dropped dramatically among youth since 2013, but smoking-related disparities persist. We examine who still smokes in the context of declining smoking rates. Using the Minnesota Student Survey, we examine adverse childhood experiences (ACEs) and cigarette use in 2013 and 2016. We assess how cigarette use rates changed, how ACEs relate to cigarette use, and the degree to which youth with ACEs comprise the current smoking population. METHODS: Data came from the 2013 and 2016 Minnesota Student Survey. We assessed past 30-day any and daily cigarette use statewide and among youth with no ACEs, high cumulative ACEs, and seven separate ACEs. We used descriptive statistics and multivariate logistic regression analyses. RESULTS: Cigarette use significantly declined for all groups from 2013 to 2016. Youth with no ACEs exhibited the highest percent decrease in any and daily cigarette use. Youth with ACEs were more likely to report any and daily cigarette use in 2013 and 2016, adjusting for demographics. Among youth with any 30-day use, the rate of ACEs increased from 2013 to 2016. Youth with ACEs disproportionately accounted for youth smoking populations in 2013 and 2016. For example, although 16% of all youth experienced parental incarceration, approximately 43% and 55% of youth with any and daily cigarette use experienced parental incarceration in 2016, respectively. CONCLUSIONS: Cigarette use declined from 2013 to 2016 for all Minnesota youth, but the decline among youth with no ACEs was faster than those with ACEs. Youth with ACEs now account for an increasingly high percent of youth smokers. IMPLICATIONS: Even though cigarette use is declining among Minnesota youth, the decline among youth without ACEs is faster than the decline among youth with ACEs. Youth with ACEs disproportionately account for all youth smokers, and this disproportionality has increased since 2013. Tobacco control efforts should focus on youth with ACEs, and parental incarceration is a specific ACE that warrants attention. Rates of parental incarceration remain high in the United States and youth who experience parental incarceration now account for a near majority of current youth smokers. Future research should consider mechanisms for the ACE-smoking relationship and emerging tobacco products (eg, electronic cigarettes).

Financial incentives and proactive calling for reducing barriers to tobacco treatment among socioeconomically disadvantaged women: A factorial randomized trial.

Improved strategies and scalable interventions to engage low-socioeconomic status (SES) smokers in tobacco treatment are needed. We tested an intervention designed to connect low-SES smokers to treatment services, implemented through Minnesota's National Breast and Cervical Cancer Early Detection Program (Sage) in 2017; the trial was designed to last 3 months (July through October). Participants were female smokers who were 250% below the federal poverty level (randomized N = 3723; analyzed N = 3365). Using a factorial design, participants were randomized to six intervention groups consisting of a proactive call (no call vs call) and/or a financial incentive offered for being connected to treatment services ($0 vs $10 vs $20). Simple randomization was conducted using Stata v.13. All individuals received direct mail. Participants and staff were blinded to allocation. The outcome was connection via phone to QUITPLAN Services®, Minnesota's population-based cessation services. Groups that received $10 or $20 incentives had higher odds of treatment engagement compared to the no incentive group [respectively, OR = 1.94; 95% CI (1.19-3.14); OR = 2.18; 95% CI (1.36-3.51)]. Individuals that received proactive calls had higher odds of treatment engagement compared to individuals not called [OR = 1.59; 95% CI (1.11-2.29)]. Economic evaluation revealed that the $10 incentive, no call group had the best cost-benefit ratio compared to the no incentive, no call group. Direct mail with moderate incentives or proactive calling can successfully encourage connections to population-based tobacco treatment services among low-SES smokers. The intervention could be disseminated to similar programs serving low-SES populations. This trial is registered at ClinicalTrials.gov (NCT03760107).

Implementing Evidence-Based Strategies to Improve HPV Vaccine Delivery.

BACKGROUND: High-quality evidence indicates that intervening with health care providers improves human papillomavirus (HPV) vaccine delivery. However, scaling up evidence-based strategies in real-world clinical practice remains challenging. We sought to improve the reach and impact of strategies for HPV vaccination quality improvement (QI) through local adaptation and implementation in a large, not-for-profit health care system. METHODS: We conducted an HPV vaccination QI program using existing materials to support physician training coupled with assessment and feedback. Local physicians with high HPV vaccination rates facilitated training, which included didactic instruction and video vignettes modeling effective communication. We randomly assigned 25 clinics with 77 physicians to the QI arm or the wait-list control arm. We used hierarchical linear models to assess HPV vaccination coverage (≥1 dose) over 6 months among patients aged 12 to 14. RESULTS: Of 45 physicians in the QI arm, the program reached 43 (95%) with training plus assessment and feedback. In the overall sample, HPV vaccination coverage increased in both the QI and control arms (8.6 vs 6.4 percentage points, respectively), although the 2.2-percentage point difference did not reach statistical significance. Sensitivity analyses that excluded physicians with poor data quality indicated a statistically significant advantage of 3.3 percentage points for QI versus control (b = 0.034; SE = 0.015; P < .05). CONCLUSIONS: Our locally adapted QI program achieved excellent reach, with small improvements in HPV vaccination coverage. Future implementation research is needed to bolster program impact and support health systems in leveraging local resources to conduct these programs efficiently.

Household Implementation of Smoke-Free Rules in Homes and Cars: A Focus on Adolescent Smoking Behavior and Secondhand Smoke Exposure.

PURPOSE: This study addresses the dearth of population-based research on how comprehensive household smoke-free rules (ie, in the home and car) relate to tobacco use and secondhand smoke (SHS) exposure among adolescents. DESIGN: Analysis of 2014 Minnesota Youth Tobacco Survey. SETTING: Representative sample of Minnesota youth. PARTICIPANTS: A total of 1287 youth who lived with a smoker. MEASURES: Measures included household smoke-free rules (no rules, partial rules-home or car, but not both-and comprehensive rules), lifetime and 30-day cigarette use, 30-day cigarette and other product use, and SHS exposure in past 7 days in home and car. ANALYSIS: Weighted multivariate logistic, zero-inflated Poisson, and zero-inflated negative binomial regressions were used. RESULTS: Compared to comprehensive rules, partial and no smoke-free rules were significantly and positively related to lifetime cigarette use (respectively, adjusted odds ratio [AOR] = 1.80, 95% confidence interval [CI] = 1.24-2.61; AOR = 2.87, 95% CI = 1.93-4.25), and a similar significant pattern was found for 30-day cigarette use (respectively, AOR = 2.20, 95% CI = 1.21-4.02; AOR = 2.45, 95% CI = 1.34-4.50). No smoke-free rules significantly predicted using cigarettes and other tobacco products compared to comprehensive rules. In both descriptive and regression analyses, we found SHS exposure rates in both the home and car were significantly lower among youth whose household implemented comprehensive smoke-free rules. CONCLUSIONS: Comprehensive smoke-free rules protect youth from the harms of caregiver tobacco use. Relative to both partial and no smoke-free rules, comprehensive smoke-free rules have a marked impact on tobacco use and SHS exposure among youth who live with a smoker. Health promotion efforts should promote comprehensive smoke-free rules among all households and particularly households with children and adolescents.

The Efficacy of Direct Mail, Patient Navigation, and Incentives for Increasing Mammography and Colonoscopy in the Medicaid Population: A Randomized Controlled Trial.

Background: Despite lower cancer screening rates and survival rates in the Medicaid population compared with those with private insurance, there is a dearth of population-based, evidence-based interventions targeting Medicaid clients to address this problem.Methods: This study reports results of a population-based randomized controlled trial (RCT) among all individuals enrolled in Minnesota's Medicaid program who were overdue for breast cancer (n = 22,113) and/or colorectal cancer (n = 94,294) screening. Individuals were randomized to intervention or control groups. The intervention group received persuasive and innovative direct mail materials coupled with a $20 incentive for using their Medicaid benefit to get screened. Direct mail materials provided a phone number to a call center staffed by patient navigators who addressed barriers and scheduled appointments via three-way calls. The control group received the intervention 15 months later. Primary outcomes were completion of mammography or colonoscopy within 12 weeks of the intervention. Billing claims served as evidence of screening.Results: Multivariate logistic regression showed significant differences for both breast cancer (P < 0.001) and colorectal cancer (P < 0.01). The odds of receiving a mammogram for the treatment group were significantly higher than the control group [OR = 1.30; 95% confidence interval (95% CI) = 1.16-1.46], and the treatment group was more likely to receive a colonoscopy than the control group (OR = 1.12; 95% CI = 1.04-1.21).Conclusions: This population-based intervention increased breast cancer and colorectal cancer screening in a Medicaid population overdue for screening.Impact: These findings may have broad application for reaching individuals who generally remain outside the health care system despite having public health insurance. Cancer Epidemiol Biomarkers Prev; 27(9); 1047-56. ©2018 AACR.

Smoke-Free Rules in Homes and Cars Among Smokers and Nonsmokers in Minnesota.

We examined prevalence and predictors of comprehensive smoke-free household rules (ie, smoke-free homes and cars) among smokers and nonsmokers in Minnesota. Data came from the 2014 Minnesota Adult Tobacco Survey; weighted analyses consisted of descriptive analyses and multivariate logistic regression analyses. Most adult smokers implemented home-only smoke-free rules (43%) while most nonsmokers implemented comprehensive smoke-free rules (home and car; 85%). Comprehensive smoke-free rules were more common among people with high socioeconomic status (SES), married people, and people who did not live with a smoker; those with a child in the home were more likely to implement smoke-free homes but not smoke-free cars. Public health practitioners should focus on addressing the majority of smokers who do not implement comprehensive smoke-free household rules, such as low-SES populations, and addressing caregivers who do not implement smoke-free car rules.

Interpersonal Communication in Response to an Intervention and Its Impact on Smoking Cessation Within a Low-Income Population.

BACKGROUND: It is a priority to develop population-based strategies for reducing barriers to smoking cessation among low-income populations. Harnessing secondary transmission such as interpersonal communication (IC) has helped to reduce tobacco use, but there is a dearth of quasi-experimental research that examines IC and the full spectrum of smoking cessation behaviors, particularly in the context of population-level programs. AIMS: Using quasi-experimental methods, we examined IC in response to a population-level intervention and its impact on the full spectrum of smoking cessation outcomes among low-income smokers. METHOD: We used propensity score matching; three different propensity score matching procedures were used to estimate and approximate experimental effects. We assessed four cessation outcomes: utilization of a free tobacco quitline (QL), making a quit attempt, and being smoke-free for 7 and 30 days at follow-up. We also examined predictors of IC. RESULTS: IC was significantly related to QL utilization (effect sizes ranging from 0.135 to 0.166), making a quit attempt (effect sizes ranging from 0.115 to 0.147), being smoke-free for 7 days (effect sizes ranging from 0.080 to 0.121), and being smoke-free for 30 days at follow-up (effect sizes ranging from 0.058 to 0.082). Program-related and participant characteristics predicted IC, such as receiving emotional direct mail materials and living with a fellow smoker. DISCUSSION: IC in response to a population-based program affected the cessation process, and IC had a marked impact on sustained cessation. CONCLUSION: Population-based programs should aim to harness psychosocial dynamics such as IC to promote sustained cessation among low-income populations.