Public support for raising the age of sale for tobacco to 21 in the United States.

OBJECTIVES: The vast majority of tobacco users began before the age of 21. Raising the tobacco sales age to 21 has the potential to reduce tobacco use initiation and progression to regular smoking. Our objective was to assess the level of public support nationally for 'Tobacco 21' initiatives in the USA. METHODS: The Social Climate Survey of Tobacco Control, a cross-sectional dual-frame survey representing national probability samples of adults was administered in 2013. Respondents were asked to state their agreement level with, 'The age to buy tobacco should be raised to 21.' RESULTS: Of 3245 respondents, 70.5% support raising the age to buy tobacco to 21. The majority of adults in every demographic and smoking status category supported raising the tobacco sales age to 21. In multivariable analyses, support was highest among never smokers, females, African-Americans and older adults. CONCLUSIONS: This national study demonstrates broad public support for raising the sales age of tobacco to 21 and will help facilitate wide dissemination of initiatives to increase the legal purchase age at national, state and local levels. Increasing public awareness about the susceptibility and rapid addiction of youth to nicotine may further increase public support for raising the tobacco sale age to 21.

Electronic Cigarettes in Mississippi: Issues Facing Healthcare Providers and Policy Makers.

BACKGROUND: Electronic cigarettes (e-cigarettes) are currently unregulated nicotine delivery products, and use is increasing among youth and young adults in the U.S. Little is known about use in Mississippi. DESIGN/METHODS: Surveys assessed e-cigarette use among Mississippi adolescents and adults. UMMC provided data on reported cases of e-cigarette poisonings. RESULTS: From 2010 to 2014, current e-cigarette use increased from 0.6% to 6.7% among middle school students, from 1.2% to 10.1% among high school students, and from 0.2% to 6.8% among adults. There were no reported cases of e-cigarette poisonings in 2010, 2011, or 2013. There was one case in 2012. Cases increased to 26 in 2014, and 17 cases were reported in 2015. CONCLUSION: E-cigarette use has increased substantially. E-cigarettes expose users and bystanders to harmful chemicals and cancer-causing compounds. Regulation of e-cigarettes at the local, state, and federal levels is needed to address the clear harms to non-smokers.

Trends in Electronic Cigarette Use Among U.S. Adults: Use is Increasing in Both Smokers and Nonsmokers.

OBJECTIVES: We assessed trends in use of electronic cigarettes among U.S. adults, demographic predictors of use, and smoking status of current electronic cigarette users. METHODS: Mixed-mode surveys were used to obtain representative, cross-sectional samples of U.S. adults in each of 4 years. RESULTS: Sample sizes for 2010, 2011, 2012, and 2013 were 3,240, 3,097, 3,101, and 3,245, respectively. Ever use of electronic cigarettes increased from 1.8% (2010) to 13.0% (2013), while current use increased from 0.3% to 6.8%, p < .001. Prevalence of use increased significantly across all demographic groups. In 2013, current use among young adults 18-24 (14.2%) was higher than adults 25-44 (8.6%), 45-64 (5.5%), and 65+ (1.2%). Daily smokers (30.3%) and nondaily smokers (34.1%) were the most likely to currently use e-cigarettes, compared to former smokers (5.4%) and never-smokers (1.4%), p < .001. However, 32.5% of current electronic cigarette users are never- or former smokers. CONCLUSIONS: There has been rapid growth in ever and current electronic cigarette use over the past 4 years. Use is highest among young adults and current cigarette smokers. Although smokers are most likely to use these products, almost a third of current users are nonsmokers, suggesting that e-cigarettes contribute to primary nicotine addiction and to renormalization of tobacco use. Regulatory action is needed at the federal, state, and local levels to ensure that these products do not contribute to preventable chronic disease.

Association between clean indoor air laws and voluntary smokefree rules in homes and cars.

OBJECTIVES: This study examines the influence that smokefree workplaces, restaurants and bars have on the adoption of smokefree rules in homes and cars, and whether there is an association with adopting smokefree rules in homes and cars. METHODS: Bivariate probit models were used to jointly estimate the likelihood of living in a smokefree home and having a smokefree car as a function of law coverage and other variables. Household data were obtained from the nationally representative Social Climate Survey of Tobacco Control 2001, 2002 and 2004-2009; clean indoor air law data were from the American Nonsmokers' Rights Foundation Tobacco Control Laws Database. RESULTS: 'Full coverage' and 'partial coverage' smokefree legislation is associated with an increased likelihood of having voluntary home and car smokefree rules compared with 'no coverage'. The association between 'full coverage' and smokefree rule in homes and cars is 5% and 4%, respectively, and the association between 'partial coverage' and smokefree rules in homes and cars is 3% and 4%, respectively. There is a positive association between the adoption of smokefree rules in homes and cars. CONCLUSIONS: Clean indoor air laws provide the additional benefit of encouraging voluntary adoption of smokefree rules in homes and cars.

A dual-frame sampling methodology to address landline replacement in tobacco control research.

OBJECTIVES: We assessed the comparability of self-reported smoking prevalence estimates from a dual-frame survey with those from two large-scale, national surveys. METHODS: The Social Climate Survey of Tobacco Control (SCS-TC) obtained self-reported current smoking status via a dual-frame methodology in the fall of 2010. One frame used random digit dialling procedures and consisted of households with a landline telephone; the other frame consisted of a population-based probability-based online panel. Current smoking prevalence was compared with national estimates from the 2010 National Health Interview Survey (NHIS) and the 2009-2010 National Health and Nutrition Examination Survey (NHANES). RESULTS: 18.3% (95% CI 17.0% to 19.6%) of SCS-TC respondents reported current smoking. NHIS and NHANES estimates found 19.4% (95% CI 18.8% to 20.1%) and 20.3% (95% CI 18.7% to 22.1%), respectively, reporting current smoking. CONCLUSIONS: Prevalence estimates for cigarette smoking obtained from the dual-frame SCS-TC are comparable to those from other national surveys. A mixed-mode approach may be a useful strategy to transition cross-sectional surveys with established trend data to newer dual-frame designs to maintain compatibility with surveys from previous years and to include the growing number of households that do not have landline telephones.

Tobacco Use Trends among Mississippi Youth following the 1997 Settlement of Mississippi's Medicaid Lawsuit and Subsequent Tobacco Prevention Initiatives.

BACKGROUND: Mississippi has implemented several programs and policies to reduce youth tobacco. This study examines trends in youth tobacco use and compares current prevalence rates for cigarettes, cigars, smokeless tobacco, and e-cigarettes. DESIGN/METHODS: The Youth Tobacco Survey is a self-administered survey of a multi-stage sample of public high school students. RESULTS: Cigarette and cigar smoking decreased from 1998 to 2014. However, current use of smokeless tobacco did not change and e-cigarette use has increased. Currently, there are no significant differences in the prevalence of cigarette, cigar, smokeless tobacco, or electronic cigarette use. CONCLUSION: The state has successfully decreased cigarette and cigar smoking. However, smokeless tobacco use has not changed and e-cigarettes are becoming increasingly popular. Currently, Mississippi youth are at equal risk for cigarette, cigar, smokeless tobacco, or electronic cigarette use. Tobacco prevention efforts, clinician counseling, and policies should address each of these products rather than focus primarily on cigarettes.

Tobacco smoke incursions in multiunit housing.

OBJECTIVES: We sought to describe the prevalence of secondhand tobacco smoke incursions reported by multiunit housing (MUH) residents, pinpoint factors associated with exposure, and determine whether smoke-free building policy was associated with prevalence of reported tobacco smoke incursions. METHODS: Data are from a 2011 nationally representative dual-frame survey (random-digit-dial and Internet panels) of US adults aged 18 years and older. Individuals who lived in MUH and who reported no smoking in their homes for the past 3 months, whether or not they reported being smokers themselves, were included in this study. Incursions were defined as smelling tobacco smoke in their building or unit. RESULTS: Of 562 respondents, 29.5% reported smoke incursions in their buildings. Of these, 16% reported incursions in their own unit, 36.2% of which occurred at least weekly. Government-subsidized housing and partial smoke-free policies were associated with a higher likelihood of reporting smoke incursions. CONCLUSIONS: Many residents of multiunit housing are exposed to tobacco smoke in their units and buildings. Partial smoke-free policies do not appear to protect residents and might increase the likelihood of incursions in residents' individual units.

Assessing secondhand smoke exposure with reported measures.

Non-smokers are exposed to tobacco smoke from the burning cigarette and the exhaled smoke from smokers. In spite of decades of development of approaches to assess secondhand smoke exposure (SHSe), there are still unresolved methodological issues. This manuscript summarises the scientific evidence on the use of SHSe reported measures and their methods, objectives, strengths and limitations; and discusses best practices for assessing behaviour leading to SHSe for lifetime and immediate or current SHSe. Recommendations for advancing measurement science of SHSe are provided. Behavioural measures of SHSe commonly rely on self-reports from children and adults. Most commonly, the methodology includes self, proxy and interview-based reporting styles using retrospective recall or diary-style reporting formats. The reporting method used will vary based upon the subject of interest, assessment objectives and cultural context. Appropriately implemented, reported measures of SHSe provide an accurate, timely and cost-effective method for assessing exposure time, location and quantity in a wide variety of populations.

Tax revenue in Mississippi communities following implementation of smoke-free ordinances: an examination of tourism and economic development tax revenues.

BACKGROUND: There is no safe level of exposure to tobacco smoke. More than 60 Mississippi communities have passed smoke-free ordinances in the past six years. Opponents claim that these ordinances harm local businesses. OBJECTIVE: Mississippi law allows municipalities to place a tourism and economic development (TED) tax on local restaurants and hotels/motels. The objective of this study is to examine the impact of these ordinances on TED tax revenues. METHODS: This study applies a pre/post quasi-experimental design to compare TED tax revenue before and after implementing ordinances. RESULTS: Descriptive analyses indicated that inflation-adjusted tax revenues increased during the 12 months following implementation of smoke-free ordinances while there was no change in aggregated control communities. Multivariate fixed-effects analyses found no statistically significant effect of smoke-free ordinances on hospitality tax revenue. CONCLUSIONS: No evidence was found that smoke-free ordinances have an adverse effect on the local hospitality industry.

US attitudes about banning menthol in cigarettes: results from a nationally representative survey.

Menthol is a cigarette flavoring that makes smoking more appealing to smokers. The US Food and Drug Administration (FDA) has regulatory authority to ban mentholated cigarettes to reduce youth uptake and encourage adult cessation. Survey findings indicate that more than half of all Americans (56.1%) and of Blacks alone (68.0% in one sample and 75.8% in another) support banning menthol. Endorsement of a ban-especially by Blacks, who have the highest rates of menthol cigarette use-would support FDA action to ban menthol to protect the public's health.

Smoke-Free Ordinances and Policies Protect Youth, but Ordinances Appear to Have Little Impact on Non-Combustible Tobacco Use.

Smoke-free ordinances and policies protect youth from exposure to secondhand smoke (SHS) and cigarette use. This study investigated whether smoke-free ordinances also protect youth from the use of other tobacco products. We compared the prevalence of SHS exposure, cigarette smoking, cigar smoking, smokeless tobacco use, and e-cigarette use among high school students living in a municipality with or without a smoke-free ordinance and in homes with and without smoke-free policies. Data were analyzed using the 2017 Mississippi Youth Tobacco Survey (n = 1923). Smoke-free ordinances were found to be associated with lower prevalence of SHS exposure (41.9% vs. 51.5%), cigarette smoking (5.1% vs. 11.4%), and cigar smoking (7.2% vs. 10.9%). There were no differences in smokeless tobacco use (6.6% vs. 6.5%) or e-cigarette use (11.2% vs 12.1%). Smoke-free homes were associated with lower prevalence of SHS exposure (38.0% vs 74.6%), cigarette smoking (4.8% vs. 17.6%), cigar smoking (6.4% vs. 16.4%), smokeless tobacco use (4.9% vs. 13.2%), and e-cigarette use (9.6% vs. 19.5%), p < 0.05 for all comparisons. The results suggest that smoke-free ordinances and policies protect against exposure to tobacco smoke and use of combustible tobacco products, but smoke-free ordinances do not protect from smokeless tobacco and e-cigarette use. Tobacco-free, rather than smoke-free, ordinances might offer more protection.

E-Cigarette Use and Future Cigarette Initiation Among Never Smokers and Relapse Among Former Smokers in the PATH Study.

OBJECTIVES: Any potential harm-reduction benefit of electronic cigarettes (e-cigarettes) could be offset by nonsmokers who initiate e-cigarette use and then smoke combustible cigarettes. We examined correlates of e-cigarette use at baseline with combustible cigarette smoking at 1-year follow-up among adult distant former combustible cigarette smokers (ie, quit smoking ≥5 years ago) and never smokers. METHODS: The Population Assessment of Tobacco and Health Study, a nationally representative, longitudinal study, surveyed 26 446 US adults during 2 waves: 2013-2014 (baseline) and 2014-2015 (1-year follow-up). Participants completed an audio computer-assisted interview in English or Spanish. We compared combustible cigarette smoking at 1-year follow-up by e-cigarette use at baseline among distant former combustible cigarette smokers and never smokers. RESULTS: Distant former combustible cigarette smokers who reported e-cigarette past 30-day use (9.3%) and ever use (6.7%) were significantly more likely than those who had never used e-cigarettes (1.3%) to have relapsed to current combustible cigarette smoking at follow-up (P < .001). Never smokers who reported e-cigarette past 30-day use (25.6%) and ever use (13.9%) were significantly more likely than those who had never used e-cigarettes (2.1%) to have initiated combustible cigarette smoking (P < .001). Adults who reported past 30-day e-cigarette use (7.0%) and ever e-cigarette use (1.7%) were more likely than those who had never used e-cigarettes (0.3%) to have transitioned from never smokers to current combustible cigarette smokers (P < .001). E-cigarette use predicted combustible cigarette smoking in multivariable analyses controlling for covariates. CONCLUSIONS: Policies and counseling should consider the increased risk for nonsmokers of future combustible cigarette smoking use as a result of using e-cigarettes and any potential harm-reduction benefits e-cigarettes might bring to current combustible cigarette smokers.

Public Support for Smoke-Free Section 8 Public Housing.

The U.S. Department of Housing and Urban Development (HUD) recently issued rules requiring that federally funded authorities administering public housing must have smoke-free policies. Importantly, this requirement does not extend to Section 8 housing. Under the Section 8 program, public housing vouchers provide subsidies for private rental housing to low-income residents. This study examines support for smoke-free policy options in Section 8 housing. Using a nationally representative survey of adults, we asked 3,070 respondents to agree or disagree with two potential policies. The majority (71%) supported prohibiting indoor smoking everywhere inside buildings that have Section 8 housing units. Alternatively, respondents were less supportive (38%) of a policy to prohibit smoking only inside units with Section 8 subsidies, and allowing smoking in nonsubsidized units. Prohibiting smoking in all units in multiunit housing (MUH) buildings would help protect the health of both the 2.2 million households who receive Section 8 subsidies and their neighbors.

Assessing college students' autonomy over smoking with the Hooked On Nicotine Checklist.

OBJECTIVE, PARTICIPANTS, AND METHODS: In this study, the authors explored the psychometric properties of the Hooked on Nicotine Checklist (HONC) among 300 college students who were current smokers. The HONC is a 10-item survey instrument designed to measure diminished autonomy over smoking, a key aspect of dependence. Autonomy is diminished when symptoms present a barrier to cessation. RESULTS: Internal consistency was high (alpha = .89), as was concurrent validity. Students who began smoking earlier and heavier smokers reported more symptoms than did those who started later and smoked less. After controlling for smoking frequency, the HONC was predictive of the likelihood of a failed cessation attempt, with each additional symptom doubling that likelihood. CONCLUSIONS: College health professionals could use the HONC to help new smokers recognize their symptoms of diminished autonomy. The HONC may serve as a recruiting tool for cessation programs, which could benefit such early-phase smokers.

Adult Attitudes and Practices Regarding Smoking Restrictions and Child Tobacco Smoke Exposure: 2000 to 2015.

BACKGROUND AND OBJECTIVES: Since 2000, tobacco control efforts have greatly increased state and local protections from childhood tobacco smoke exposure. The objective of this study is to examine changes in attitudes and practices regarding smoking bans in multiple public and private settings from 2000 to 2015, as well as to examine the changes in pediatrician and family practitioner screening and counseling for tobacco smoke exposure. METHODS: Cross-sectional data from the annual Social Climate Survey of Tobacco Control were analyzed. RESULTS: The majority of adults, 69.3%, reported household smoking restrictions in 2000, and these restrictions increased to 79.5% through 2015 (P < .05). Car smoking prohibitions increased from 68.3% to 81.8% (P < .05). A growing majority of adults supports smoke-free policies in public settings, and tobacco counseling by child health care providers also increased. However, members of 1 in 5 households still permit smoking inside the home and family vehicle, and half of the US population is not protected by state or local laws prohibiting smoking inside of hospitality venues. CONCLUSIONS: Despite dramatic progress since 2000, these trend data reveal potential areas where child health care clinicians might focus effort at the family and community level to accelerate the protection of children from tobacco smoke exposure.

Adolescent Use of Different E-cigarette Products.

: media-1vid110.1542/5804914521001PEDS-VA_2018-0260Video Abstract BACKGROUND: Little is known about the characteristics of electronic cigarettes (e-cigarettes) used by adolescents. Understanding the product landscape of adolescent e-cigarette use may inform counseling and policy strategies. METHODS: Results are from 13 651 adolescents in wave 1 and 12 172 adolescents in wave 2 of the Population Assessment of Tobacco and Health Study, a nationally representative longitudinal study. Past 30-day regular e-cigarettes users were asked about the characteristics of the e-cigarette they used most of the time. RESULTS: In waves 1 and 2, 2.1% and 2.8% of adolescents were regular users in the past 30 days, respectively. These adolescents more often used rechargeable rather than disposable devices (wave 1: 76.0%; wave 2: 82.9%) and refillable rather than nonrefillable devices (wave 1: 66.6%; wave 2: 84.4%) and tended not to use cartridge systems (wave 1: 33.7%; wave 2: 30.5%). Most adolescent past 30-day users (wave 1: 87.5%; wave 2: 89.4%) reported using flavored e-cigarettes. An increased frequency of use was associated with the use of rechargeable (wave 1 adjusted odds ratio [aOR]: 2.7; wave 2 aOR: 2.7) and refillable e-cigarettes (wave 1 aOR: 2.0; wave 2 aOR: 2.7; P < .05). Most users in wave 1 did not continue regular use in wave 2 (70.2%). Among those who continued to use and had reported using closed systems (nonrechargeable and/or nonrefillable) in wave 1, most had progressed to open systems (rechargeable and refillable) in wave 2. CONCLUSIONS: Most adolescents use open-system e-cigarettes, and frequent users are even more likely to use open-system e-cigarettes. The majority of regular users use rechargeable devices that are refillable. A change in product preferences across waves suggests a starter product phenomenon, with a graduation to products that have weaker quality controls and may increase health risks.

E-Cigarette Advice to Patients From Physicians and Dentists in the United States.

PURPOSE: To report on adults' recall of discussion by physicians and dentists about e-cigarettes. DESIGN: A nationally representative cross-sectional survey (Internet and random digit dialing) in the United States. PARTICIPANTS: Adults who ever used e-cigarettes. MEASURES: Participant-reported discussion about the potential benefits and harms of e-cigarettes with their doctor, dentist, or child's doctor in the past 12 months. ANALYSIS: Fisher exact test for the analysis between benefits and harms for each type of provider and for rates of advice between provider types. RESULTS: Among the 3030 adults who completed the survey, 523 (17.2%) had ever used e-cigarettes. Of those who had seen their doctor, dentist, or child's doctor in the last year, 7.3%, 1.7%, and 10.1%, respectively, reported discussing potential harms of e-cigarettes. Conversely, 5.8%, 1.7%, and 9.3% of patients who had seen their doctor, dentist, or child's doctor in the last year reported that the clinician discussed the potential benefits of e-cigarettes. Each clinician type was as likely to discuss harms as benefits. Rates of advice were similar between doctors and child's doctors but lower for dentists. Rates were comparable when the analysis was limited to current e-cigarette users, participants with children, or those who reported using both e-cigarettes and combusted tobacco. CONCLUSIONS: Few physicians and dentists discuss either the harms or benefits of e-cigarettes with their patients. These data suggest an opportunity to educate, train, and provide resources for physicians and dentists about e-cigarettes and their use.

Assessing pediatric tobacco exposure using parent report: comparison with hair nicotine.

INTRODUCTION: The purpose of this study was to examine the relationships between screening questions for secondhand smoke (SHS) exposure and biomarker results using hair nicotine levels. Our ultimate goal was to develop sensitive and valid screening tools in pediatric clinical settings for SHS exposure. METHODS: Investigators developed a core set of questions regarding exposure. Data from two separate ongoing studies of well children and those with bronchopulmonary dysplasia (BPD) were used to assess the concordance between responses and hair nicotine levels. Sensitivity, a positive predictive value, and accuracy were examined. RESULTS: There was no single question with similar sensitivity in both populations. The question with the highest positive predictive value (90.8% well-cohort and 84.6% BPD cohort) for both the groups was whether the child had been exposed to in-home smoking in the last 7 days. The question with the highest accuracy for both groups was the number of smokers at home (0 vs ≥ 1), with an accuracy of 72.4% for well children and 79.0% for the BPD cohort. CONCLUSIONS: There was a wide variability in the performance of specific questions. These data demonstrate that a "one-size-fits-all" approach to screening for secondhand tobacco smoke exposure may not be appropriate for all pediatric populations.

Comorbidity of obesity and pain in a general population: results from the Southern Pain Prevalence Study.

UNLABELLED: This cross-sectional study examines the relation between obesity and self-reported pain (moderate or severe pain occurring at least monthly) in a general population sample of adults in the southeastern United States (N = 3637). Results of the study suggest that obese adults (body mass index [BMI] >30) are more likely to experience pain than their normal-weight and underweight counterparts. Respondents classified as class I obese (BMI of 30 to 34.9) were 1.762 times as likely as the underweight and normal weight participants to report severe pain. Class II obese respondents (BMI of 35 to 39.9) were 1.888 times as likely to experience severe pain. Those respondents categorized as class III obese were most likely to report severe pain--2.297 times as likely as the underweight and normal-weight respondents. Analyses demonstrated a similar trend for respondents reporting moderate to severe pain. Adults who are obese are also more likely to report experiencing pain in multiple locations. This study complements clinical research that links pain and obesity and extends it into a general population. Because this is a cross-sectional study, further research is needed to discern causal explanations for the relation between self-reported pain and obesity. PERSPECTIVE: This article provides a population-level depiction of the positive relation between obesity and self-reported pain, which complements clinical research on the topic. It may prompt future research to shape interventions and treatment for both pain and obesity.