Temporal Trends in E-Cigarette and Cigarette Use Among US Adults by US State: Behavioral Risk Factor Surveillance System, 2016 to 2018

2020 ◽  
Author(s):  
Mahmoud Al Rifai ◽  
Anwar T. Merchant ◽  
Vijay Nambi ◽  
Xiaoming Jia ◽  
Martha Gulati ◽  
...  
Keyword(s):  
Risk Factor ◽  
Surveillance System ◽  
Temporal Trends ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Temporal Trends in E-Cigarette Use Among U.S. Adults: Behavioral Risk Factor Surveillance System, 2016 to 2018

2020 ◽  
Vol 133 (9) ◽  
pp. e508-e511 ◽  
Author(s):  
Mahmoud Al Rifai ◽  
Anwar T. Merchant ◽  
Vijay Nambi ◽  
Xiaoming Jia ◽  
Martha Gulati ◽  
...  
Keyword(s):  
Risk Factor ◽  
Surveillance System ◽  
Temporal Trends ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

scholarly journals Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017

2019 ◽  
Vol 2 (12) ◽  
pp. e1916800 ◽  
Author(s):  
Olufunmilayo H. Obisesan ◽  
Mohammadhassan Mirbolouk ◽  
Albert D. Osei ◽  
Olusola A. Orimoloye ◽  
S. M. Iftekhar Uddin ◽  
...  
Keyword(s):  
Risk Factor ◽  
Surveillance System ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Prevalence and Distribution of E-Cigarette Use Among U.S. Adults: Behavioral Risk Factor Surveillance System, 2016

2018 ◽  
Vol 169 (7) ◽  
pp. 429 ◽  
Author(s):  
Mohammadhassan Mirbolouk ◽  
Paniz Charkhchi ◽  
Sina Kianoush ◽  
S.M. Iftekhar Uddin ◽  
Olusola A. Orimoloye ◽  
...  
Keyword(s):  
Risk Factor ◽  
Surveillance System ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

E-Cigarette Use Without a History of Combustible Cigarette Smoking Among U.S. Adults: Behavioral Risk Factor Surveillance System, 2016

2018 ◽  
Vol 170 (1) ◽  
pp. 76 ◽  
Author(s):  
Mohammadhassan Mirbolouk ◽  
Paniz Charkhchi ◽  
Olusola A. Orimoloye ◽  
S.M. Iftekhar Uddin ◽  
Sina Kianoush ◽  
...  
Keyword(s):  
Risk Factor ◽  
Cigarette Smoking ◽  
Surveillance System ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
History Of

Examining Adult E-cigarette Use in Kentucky and Its Appalachian Region Using the Behavioral Risk Factor Surveillance System, 2016-2017

2021 ◽  
pp. 003335492110299
Author(s):  
W. Jay Christian ◽  
Nimish R. Valvi ◽  
Courtney J. Walker
Keyword(s):  
United States ◽  
Risk Factor ◽  
Surveillance System ◽  
The United States ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Appalachian Region ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Objectives Electronic cigarette (e-cigarette) use has increased steadily in the United States, but little research has examined its prevalence in states comprising Appalachia, a rural region known for high rates of tobacco use. This study assessed lifetime and current e-cigarette use among adults by sociodemographic characteristics, geographic region, and cigarette smoking in Kentucky, with a focus on the Appalachian region. Methods We used data from the 2016-2017 Behavioral Risk Factor Surveillance System (BRFSS) surveys to calculate the prevalence of lifetime and current e-cigarette use, and we used weighted multivariable logistic regression analyses to examine the relative influence of other factors. Results Among adults in Kentucky, 5.8% (95% CI, 5.2%-6.4%) were current e-cigarette users and 27.0% (95% CI, 25.9%-28.0%) were lifetime users, compared with state medians of 4.6% (95% CI, 4.0%-5.1%) and 21.4% (95% CI, 19.4%-23.5%) for the United States. Multivariable regression models showed similar patterns for all regions: higher prevalence odds of current e-cigarette use among adults aged 18-24, current conventional smokers, and adults unable to work. Generally, Appalachian residents of Kentucky did not have significantly higher rates of lifetime or current e-cigarette use as compared with other non-Appalachian residents of Kentucky. Hispanic residents of Appalachian Kentucky, however, had higher rates of e-cigarette use than Hispanic residents of other regions of Kentucky. Conclusions Rates of e-cigarette use were higher in Kentucky than in the United States but were not further elevated in Kentucky’s Appalachian region. High rates of e-cigarette use among Hispanic residents of Appalachia indicate a need to focus future interventions in the region.

scholarly journals E-cigarette Use and Risk Behaviors among Lesbian, Gay, Bisexual, and Transgender Adults: The Behavioral Risk Factor Surveillance System (BRFSS) Survey

2020 ◽  
Vol 13 ◽  
pp. 318-321
Author(s):  
Mahmoud Al Rifai ◽  
Mohammadhassan Mirbolouk ◽  
Xiaoming Jia ◽  
Khurram Nasir ◽  
June Pickett ◽  
...  
Keyword(s):  
Risk Factor ◽  
Risk Behaviors ◽  
Surveillance System ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Behavioral Risk Factor ◽  
High Risk Behavior ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Bisexual And Transgender

Introduction: We studied prevalence of e-cigarette use among lesbian, gay, bisexual, and transgender (LGBT) individuals and its association with risk behaviors. Methods: Using data from the Behavioral Risk Factor Surveillance System (BRFSS) survey, we assessed self-reported sexual orientation, e-cigarette use, cigarettes, marijuana, smokeless tobacco, and high-risk behavior (using non-prescribed drugs, treatment for sexually transmitted disease, or receiving monetary or drug compensation in exchange for sex in the previous year). We used multivariable-adjusted logistic regression models to study the association between LGBT and risk behaviors. Results: Prevalence of e-cigarette use among LGBT adults was 13%, nearly twice that of heterosexual adults. LGBT were more likely [Odds Ratio (95% Confidence Interval)] to report current use of e-cigarettes 1.84 (1.64,2.06), cigarettes 1.61 (1.49,1.73), marijuana 2.37 (1.99,2.82), and high-risk behavior 3.69 (3.40,4.01) compared to heterosexual adults. Results for smokeless tobacco were not significant. Conclusion: There are disparities in e-cigarette and other risk behaviors among LGBT adults, which may increase risk of adverse health effects in this vulnerable population.

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