Electronic nicotine delivery systems (ENDS) flavours and devices used by adults before and after the 2020 US FDA ENDS enforcement priority: findings from the 2018 and 2020 US ITC Smoking and Vaping Surveys.

BACKGROUND: In February 2020, the US Food and Drug Administration (FDA) prioritised enforcement efforts against flavoured prefilled cartridge/pod electronic nicotine delivery systems (ENDS), with the exception of tobacco and menthol. This study examined changes between prepriority enforcement (2018) and early postenforcement (February-June 2020) among adults on: ENDS flavours and devices used most often; location of last purchase of fruit/other-flavoured cartridges (covered under the enforcement priority); and smoking and vaping. METHODS: Prevalence estimates came from 1608 adult frequent (≥weekly) ENDS users (current smokers (n=1072), ex-smokers (n=536)) who participated in the 2018 and/or 2020 US ITC Smoking and Vaping Surveys. Transitions between flavours/devices and changes in smoking/vaping were assessed among baseline respondents who were followed up in 2020 (n=360). Respondents self-reported the ENDS device (disposable, cartridge/pod or tank) and the flavor that they used most often: (1) tobacco flavors (tobacco/tobacco-menthol mix) or unflavored; (2) menthol/mint; (3) fruit/other flavors. RESULTS: Compared to 2018, in the first 5 months of the 2020 enforcement priority, there were significant increases in the prevalence of fruit/other-flavoured cartridges (7.9% to 12.4%,p=0.026) and menthol/mint cartridges (7.1% to 13.0%, p<0.01) and decreases in tobacco-flavoured tanks (15.5% to 10.0%,p=0.002) and fruit/other-flavoured tanks (38.7% to 33.6%,p=0.038). Fewer than 10% of adults used disposables in 2018 and 2020. Among the cohort sample, the most pronounced transitions between flavours/devices occurred among those who used flavoured cartridges covered under the enforcement priority (54.6% switched to a flavour and/or device excluded from enforcement). There was an increase in purchasing fruit/other-flavoured cartridges online and a decrease in retail locations except for vape shops. Overall, there were few changes in smoking and vaping behaviours. CONCLUSIONS: Between 2018 and the early phase of the FDA's 2020 enforcement priority, prevalence of menthol/mint and fruit/other-flavoured cartridges increased among adults. Half of vapers using cartridge flavours covered in the enforcement switched to other flavours and/or devices that were exempt, with the exception of disposables. The extent to which more comprehensive restrictions may be problematic for adults who prefer a range of ENDS flavours remains uncertain.

A Multilevel Approach to Investigate Relationships Between Healthcare Resources and Lung Cancer.

BACKGROUND: Screening for lung cancer is an evidence-based but underutilized measure to reduce the burden of lung cancer mortality. Lack of adequate data on geographic availability of lung cancer screening inhibits the ability of healthcare providers to help patients with decision-making and impedes equity-focused implementation of screening-supportive services. OBJECTIVES: This analysis used data from the 2012-2016 Surveillance, Epidemiology, and End Results (SEER) Program, the Behavioral Risk Factor Surveillance System, and the county health ranking to examine (a) which cancer resources and county-level factors are associated with late-stage lung cancer at diagnosis and (b) associations between county rurality and lung cancer incidence/mortality rates. METHODS: Using the New York state SEER data, we identified 68,990 lung cancer patients aged 20-112 years; 48.3% had late-stage lung cancers, and the average lung cancer incidence and mortality rates were 70.7 and 46.2 per 100,000, respectively. There were 144 American College of Radiology-designated lung cancer screening centers and 376 Federally Qualified Health Centers identified in New York state. County rurality was associated with a higher proportion of late-stage lung cancers and higher lung cancer mortality rates. DISCUSSION: Visual geomapping showed the scarcity of rural counties' healthcare resources. County rurality is a significant factor in differences in lung cancer screening resources and patient outcomes. Use of publicly available data with geospatial methods provides ways to identify areas for improvement, populations at risk, and additional infrastructure needs.

Association Between Substance Use and Insufficient Sleep in U.S. High School Students.

Multidimensional causes of insufficient sleep among adolescents are not fully explored, particularly, the association between substance use and sleep duration. The 2017 Youth Risk Behavior Surveillance System (YRBSS) of high school students (N = 14,638; 51% female, 14-18 years old) was used to examine the association between substance use, namely cigarette, electronic vapor, alcohol, and marijuana use in the past 30 days, and insufficient sleep (<8 hr) using logistic regression analyses. Findings suggest that the use of alcohol (adjusted odds ratio [AOR], 1.42; 95% CI [1.22, 1.65]) and marijuana (AOR, 1.19; 95% CI [1.00, 1.41]) was significantly associated with having insufficient hours of sleep adjusting for age, sex, race, and computer use ≥3 hr per day. Moreover, interaction effects were examined for sex and age, which revealed that the association between marijuana use and having insufficient sleep was stronger for male and younger students. It highlights the potential value of sleep assessment among adolescent substance users.

Sleep Quality as a Mediator of the Relationship Between Cyber Victimization and Depression.

PURPOSE: Cyber victimization is a national mental health concern, especially among adolescents who are digital natives. The current study examined sleep quality as a mediator of the association between cyber victimization and depressive symptoms among adolescents. DESIGN AND METHOD: A prospective study design was utilized with a community sample of adolescents (N = 801; 57% female; mean age = 14.45, SD = .85) from the eastern United States. Participants completed (a) the Pittsburgh Sleep Quality Index; (b) the Cyber Victimization Scale; and (c) the Center for Epidemiologic Studies Depression Scale Revised via online surveys at baseline and 6-month follow-up. The inter-relationship between variables was analyzed by Hayes' mediation approach. FINDINGS: Cyber victimization was not directly associated with having depressive symptoms 6 months later when controlling for adolescents' poor sleep quality, sex, and age (direct effect [c'] = .012, t(676) = 1.12, p < .05, confidence interval [CI] -.008, .036). The mediation analysis indicated a significant indirect effect of poor sleep quality on the relationship between cyber victimization and depressive symptoms (ab = .005, bootstrapped standard error [SE] = .003, bootstrapped CI .001, .011; a is the effect of cyber victimization on poor sleep quality; b is the effect of poor sleep quality on depressive symptoms). Specifically, adolescents' cyber victimization led to poor sleep quality (a = .039, SE = .041, p < .05), which also led to increased depressive symptoms (b = .116, SE = .019, p < .001), after controlling for depressive symptoms at baseline, sex, and age. The indirect effect of cyber victimization on depressive symptoms was estimated through poor sleep quality (a*b = .039(.116) = .0045). CONCLUSIONS: The findings suggest that poor sleep quality may be a mechanism through which cyber bullying is related prospectively to depressive symptoms. Interventions for cyber-victimized adolescents should include assessment of sleep quality and incorporate sleep hygiene education. CLINICAL RELEVANCE: Adolescents should be screened for cyber victimization and sleep quality. Moreover, promotion of sleep hygiene among cyber-victimized adolescents may help to reduce depression.

Racial and Ethnic Differences in E-Cigarette and Cigarette Use Among Adolescents.

This study examined whether e-cigarette/cigarette use status would differ by student race/ethnicity. Using the 2017 Youth risk behavior survey (YRBS), weighted Chi-square tests with Rao-Scott adjustments and adjusted weighted multinomial logistic regression analysis were conducted to examine the relationship. Weighted Chi-square tests showed that American Indian/Alaska Native (AI/AN) students had the highest prevalence rates among dual users (16.2%) and e-cigarette only users (11.3%), while White peers had the highest prevalence rates among cigarette only users (3.5%). The results of weighted multinomial logistic regression indicated that AI/AN students had higher odds than White peers of being dual users (Relative risk ratio (RRR), 2.10, 95% CI, 1.01, 4.39), while Black, Hispanic, Asian and multi-racial groups had lower odds than White peers of being dual users. Additionally, Asian students had lower odds than White students of being e-cigarette only users, whereas Black and Asian students had lower odds than their White peers of being cigarette only users. Given that AI/AN students are most vulnerable to e-cigarette/cigarette use, there should be comprehensive tobacco prevention and intervention approaches that could narrow racial/ethnic differences among both youths and adults at population level.

School Engagement in Relation to Body Mass Index and School Achievement in a High-School Age Sample.

Purpose: Research has documented an inverse relationship between body mass index (BMI) and school achievement but has failed to empirically explain it. We tested whether this association among adolescents can be explained in part by student engagement. Methods: A self-report survey about health and school behaviors was completed by 196 high school students; BMI and achievement data were obtained from school records. Three forms of engagement were assessed: behavioral, presenteeism, and affective. Associations of engagement with BMI and achievement were examined, and mediation analyses were conducted. Results: The simple relationship between BMI and achievement was confirmed and demonstrated that BMI was negatively related to academic achievement. Higher BMI was also significantly correlated with lower classroom participation. Mediation tests showed the significant relationship between BMI and achievement was reduced after accounting for behavioral engagement but not affective engagement. Conclusions: These novel findings shed light on why heavier students often experience lower academic achievement. Intervention studies targeting barriers to classroom engagement among overweight and obese youth are needed so that their academic potential is not compromised.