Smokers' sources of e-cigarette awareness and risk information

Introduction: Few studies have explored sources of e-cigarette awareness and peoples' e-cigarette information needs, interests, or behaviors. This study contributes to both domains of e-cigarette research. Methods: Results are based on a 2014 e-cigarette focused survey of 519 current smokers from a nationally representative research panel. Results: Smokers most frequently reported seeing e-cigarettes in stores (86.4%) and used in person (83%). Many (73%) had also heard about e-cigarettes from known users, broadcast media ads (68%), other (print, online) advertisements (71.5%), and/or from the news (60.9%); sources of awareness varied by e-cigarette experience. Most smokers (59.9%) believed e-cigarettes are less harmful than regular cigarettes, a belief attributed to “common sense” (76.4%), the news (39.2%), and advertisements (37.2%). However, 79.5% felt e-cigarette safety information was important. Over one-third said they would turn to a doctor first for e-cigarette safety information, although almost a quarter said they would turn to the Internet or product packaging first. Most (59.6%) ranked doctors as the most trustworthy risk source, and 6.8% had asked a health professional about e-cigarettes. Conclusions: Future research should explore the content of e-cigarette information sources, their potential impact, and ways they might be strengthened or changed through regulatory and/or educational efforts

Toward a More Comprehensive Index of Youth Cigarette Smoking: Average Number of Cigarettes Smoked per Day among Students in the United States over Two Decades

Reliance on 30-day prevalence as the principal means of assessing trends in youth cigarette smoking may understate the magnitude of the decrease in youth smoking, because prevalence does not account for smoking frequency or intensity. We analyzed Youth Risk Behavior Survey (YRBS) data from 1997 through 2017 and estimated cigarette smoking prevalence (any smoking in the previous 30 days), frequency (number of smoking days in the previous 30 days), and intensity (cigarettes per day on smoking days). We calculated average cigarettes smoked per day (ACSD) as the product of frequency and intensity, divided by 30. We estimated ACSD among all high school students and by smoking frequency group (i.e., 1–5, 6–9, 10–19, 20–29, or 30 of the previous 30 days), sex, grade level, and race/ethnicity. Among US high school students, ACSD declined by 86.7% from 1997 to 2017, while prevalence declined by 75.8%. Within smoking frequency groups, smoking intensity remained similar over the two decades. However, changes in ACSD over time varied by race/ethnicity; ACSD increased among Hispanic and non-Hispanic Black daily smokers while it decreased among daily smokers of other race/ethnicity groups. ACSD declined more substantially than smoking prevalence over two decades but remained virtually unchanged within smoking frequency groups, indicating that changes in frequency, rather than intensity, drove this decline. Prevalence estimates alone understate the degree to which youth in the United States have rejected smoking, and racial/ethnic disparities in smoking intensity are hidden when we limit our lens to prevalence-only measures

Examining the Survey Setting Effect on Current E-Cigarette Use Estimates among High School Students in the 2021 National Youth Tobacco Survey

The 2021 National Youth Tobacco Survey (NYTS) was completed by youth online during class time, either in school or at home due to the COVID-19 pandemic. Given the role of NYTS data in tobacco regulatory science, it is vital to understand the effect of survey settings (home, school) on tobacco-use estimates. We used a series of multivariable logistic regressions to examine whether survey settings (home vs. school) predicted current e-cigarette use among high school students, controlling for other known predictors of e-cigarette use as well as the pandemic learning model that was dominant in students’ counties (e.g., nearly all at-home, majority in school). We observed a significant survey setting effect. Those who completed the survey in school had higher odds of current e-cigarette use than those who completed the same survey at home (AOR = 1.74); this effect was attenuated when we controlled for the pandemic learning model (AOR = 1.38). Moreover, e-cigarette use was independently associated with students’ learning model; students whose schools were nearly entirely in-person had the highest odds of e-cigarette use compared to students whose learning model was nearly all at-home (AOR = 1.65). Survey setting is a methodological artifact in the 2021 NYTS. Perceived privacy and peer effects can potentially explain this artifact

Examining the Impact of Question Construction on Reporting of Sexual Identity: Survey Experiment Among Young Adults

BackgroundCompared with heterosexuals, sexual minorities in the United States experience a higher incidence of negative physical and mental health outcomes. However, a variety of measurement challenges limit researchers’ ability to conduct meaningful survey research to understand these disparities. Despite the prevalence of additional identities, many national health surveys only offer respondents 3 substantive options for reporting their sexual identities (straight/heterosexual, gay or lesbian, and bisexual), which could lead to measurement error via misreporting and item nonresponse. ObjectiveThis study compared the traditional 3-option approach to measuring sexual identity with an expanded approach that offered respondents 5 additional options. MethodsAn online survey experiment conducted among New Jersey residents between March and June 2021 randomly assigned 1254 young adults (ages 18-21) to answer either the 3-response measure of sexual identity or the expanded item. Response distributions for each measure were compared as were the odds of item nonresponse. ResultsThe expanded version of the question appeared to result in more accurate reporting among some subgroups and induced less item nonresponse; 12% (77/642) of respondents in the expanded version selected a response that was not available in the shorter version. Females answering the expanded item were less likely to identify as gay or lesbian (2.1% [10/467] vs. 6.6% [30/457]). Females and Non-Hispanic Whites were slightly more likely to skip the shorter version than the longer version (1.1% [5/457 for females and 3/264 for Non-Hispanic Whites] vs. 0% [0/467 for females and 0/277 for Non-Hispanic Whites]). About 5% (32/642) of respondents answering the longer item were unsure of their sexual identity (a similar option was not available in the shorter version). Compared with respondents answering the longer version of the question, those answering the shorter version had substantially greater odds of skipping the question altogether (odds ratio 9.57, 95% CI 1.21-75.74; P=.03). ConclusionsResults favor the use of a longer, more detailed approach to measuring sexual identity in epidemiological research. Such a measure will likely allow researchers to produce more accurate estimates of health behaviors and outcomes among sexual minorities

Persistent Misperceptions about Nicotine among US Physicians: Results from a Randomized Survey Experiment

We conducted a survey experiment among US physicians to evaluate whether question wording impacted perceptions about the health effects of nicotine. 926 physicians were randomized to receive one of two versions of a question matrix that asked about the “extent to which they agree or disagree that ‘nicotine’ (Version 1) or ‘nicotine, on its own,’ (Version 2) directly contributes to” birth defects, cardiovascular disease (CVD), cancer, depression, and chronic obstructive pulmonary disease (COPD). We evaluated whether question condition predicted strong agreement and/or agreement with each statement, and assessed demographic correlates of each outcome while adjusting for question version. Physicians who received Version 2 were less likely to “strongly agree” that nicotine directly caused birth defects (Prevalence Ratio (PR) 0.84, 95% CI 0.72–0.98), CVD (PR 0.89, 95% CI 0.84–0.95), cancer (PR 0.81, 95% CI 0.75–0.87), and COPD (PR 0.78, 95% CI 0.72–0.84). Females were more likely to “strongly agree” that nicotine directly contributes to birth defects and cancer, and family physicians were most likely to “strongly agree” that nicotine directly contributes to CVD, cancer, and COPD. Question wording is important when measuring physicians’ beliefs about nicotine; however, even after accounting for question version, misperceptions about the direct health effects of nicotine were common and varied by sex and specialty

Examining market trends in the United States smokeless tobacco use: 2005–2011

BackgroundWhile cigarette consumption in the USA continues to decline, promotion for and consumption of smokeless tobacco (SLT) is growing. However, little research has explored what product features are driving SLT growth, despite awareness that product-level factors may be important in SLT use. This study analyses national sales data to better understand the impact of product features on SLT sales.MethodsData on sales of SLT in US convenience stores from 2005 to 2011 were obtained from Nielsen Research Company. Each listed product was coded for attributes such as type, brand, flavouring and form to calculate their respective total sales, market share and contribution to overall SLT growth.ResultsSales of moist snuff products (including snus) increased by 65.6% between 2005 and 2011. Sales of pouched and flavoured forms of moist snuff increased by 333.8% and 72.1%, respectively, and contributed to 28% and 59.4% of the total growth in the moist snuff category, respectively. Value/discount brands accounted for 42% of moist snuff sales in 2011 among the top 10 selling brands, largely driven by Grizzly. After 2 years on the national market, Camel Snus was also one of the top 10 selling moist snuff brands.ConclusionsSales of moist snuff, both overall and for particular styles, are increasing. Growing pouch use may be attributed to new SLT users, which may include cigarette smokers using them as starter SLT products. Increased sales of flavoured and discounted snuff raise concerns about use and appeal to youth. Continued surveillance of SLT sales trends is warranted

Fever in the ICU: A Predictor of Mortality in Mechanically Ventilated COVID-19 Patients.

PURPOSE: While fever may be a presenting symptom of COVID-19, fever at hospital admission has not been identified as a predictor of mortality. However, hyperthermia during critical illness among ventilated COVID-19 patients in the ICU has not yet been studied. We sought to determine mortality predictors among ventilated COVID-19 ICU patients and we hypothesized that fever in the ICU is predictive of mortality. MATERIALS AND METHODS: We conducted a retrospective cohort study of 103 ventilated COVID-19 patients admitted to the ICU between March 14 and May 27, 2020. Final follow-up was June 5, 2020. Patients discharged from the ICU or who died were included. Patients still admitted to the ICU at final follow-up were excluded. RESULTS: 103 patients were included, 40 survived and 63(61.1%) died. Deceased patients were older {66 years[IQR18] vs 62.5[IQR10], ( CONCLUSIONS: This is one of the first studies to identify ICU hyperthermia as predictive of mortality in ventilated COVID-19 patients. Additional predictors included male sex, age, and acidosis. With COVID-19 cases increasing, identification of ICU mortality predictors is crucial to improve risk stratification, resource management, and patient outcomes