scholarly journals Frequency of Youth E-Cigarette, Tobacco, and Poly-Use in the United States, 2015: Update to Villanti et al., “Frequency of Youth E-Cigarette and Tobacco Use Patterns in the United States: Measurement Precision Is Critical to Inform Public Health”

2017 ◽  
Vol 19 (10) ◽  
pp. 1253-1254 ◽  
Author(s):  
Lauren K Collins ◽  
Andrea C Villanti ◽  
Jennifer L Pearson ◽  
Allison M Glasser ◽  
Amanda L Johnson ◽  
...  
2020 ◽  
Vol 21 (1_suppl) ◽  
pp. 110S-117S
Author(s):  
Kristen E. Ortega ◽  
Holly Mata

Tobacco use remains the single most preventable cause of disease, disability, and death in the United States. Almost 500,000 people die every year in the United States because of tobacco use; approximately one in eight of those deaths are attributable to secondhand smoke exposure. Significant disparities exist in terms of which groups bear the greatest burden of tobacco-related illness and mortality. Reducing tobacco use and exposure in groups most affected and most at risk is a national public health priority. Tobacco control advocates can promote health equity by prioritizing policies that are likely to decrease tobacco use and secondhand smoke exposure and improve access to tobacco cessation resources among populations most at risk for tobacco-related disparities, including people who live in subsidized multiunit housing. In this article, we share the context, process, key milestones, and lessons learned as stakeholders in El Paso, Texas explored and implemented smoke-free policy in subsidized public housing. Partners including the local housing authority, a nonprofit health foundation, the local public health department, and a local university facilitated a thoughtful and community-engaged process that acknowledged the right of residents to breathe clean air in their own homes, potential challenges residents who choose to smoke may face in adapting to smoke-free policy, and the need for support for those who choose to quit. We conclude with five key lessons learned and share resources for other communities, health professionals, and coalitions advocating for and supporting smoke-free housing policy in their communities.


Addiction ◽  
2016 ◽  
Vol 111 (5) ◽  
pp. 937-938 ◽  
Author(s):  
J. E. Sidani ◽  
A. Shensa ◽  
S. Shiffman ◽  
G. E. Switzer ◽  
B. A. Primack

Author(s):  
Allison M Glasser ◽  
Amanda L Johnson ◽  
Raymond S Niaura ◽  
David B Abrams ◽  
Jennifer L Pearson

Abstract Introduction According to the National Youth Tobacco Survey (NYTS), youth e-cigarette use (vaping) rose between 2017 and 2018. Frequency of vaping and concurrent past 30-day (p30d) use of e-cigarettes and tobacco products have not been reported. Methods We analyzed the 2018 NYTS (N = 20 189) for vaping among all students (middle and high school; 6–12th grades; 9–19 years old) by frequency of vaping, exclusive vaping, p30d poly-product use (vaping and use of one or more tobacco product), and any past tobacco product use. Results In 2018, 81.4% of students had not used any tobacco or vapor product in the p30d, and 86.2% had not vaped in the p30d. Among all students, of the 13.8% vaped in the p30d, just over half vaped on ≤5 days (7.0%), and roughly a quarter each vaped on 6–19 days (3.2%) and on 20+ days (3.6%). Almost three quarters of p30d vapers (9.9%) reported past or concurrent tobacco use and the remainder (3.9%) were tobacco naïve. 2.8% of students were tobacco naïve and vaped on ≤5 days; 0.7% were tobacco-naïve and vaped on 6–19 days, and 0.4% were tobacco-naïve and vaped on 20+ days. Conclusions Vaping increased among US youth in 2018 over 2017. The increases are characterized by patterns of low p30d vaping frequency and high poly-product use, and a low prevalence of vaping among more frequent but tobacco naïve vapers. Implications Results underscore the importance of including the full context of use patterns. The majority of vapers (60.0%–88.9% by use frequency) were concurrent p30d or ever tobacco users. About 4% of students were tobacco naïve and vaped in the p30d, but few (0.4%) vaped regularly on 20 or more days. Reporting youth vaping data with frequency and tobacco product co-use will give public health decision-makers the best possible information to protect public health.


2018 ◽  
Vol 68 (4) ◽  
pp. 240-245 ◽  
Author(s):  
Clifford E. Douglas ◽  
Rosie Henson ◽  
Jeffrey Drope ◽  
Richard C. Wender

2016 ◽  
pp. ntw388 ◽  
Author(s):  
Andrea C. Villanti ◽  
Jennifer L. Pearson ◽  
Allison M. Glasser ◽  
Amanda L. Johnson ◽  
Lauren K Collins ◽  
...  

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.


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