TY - JOUR
T1 - Temporal Trends in E-Cigarette Use Among U.S. Adults
T2 - Behavioral Risk Factor Surveillance System, 2016 to 2018
AU - Al Rifai, Mahmoud
AU - Merchant, Anwar T.
AU - Nambi, Vijay
AU - Jia, Xiaoming
AU - Gulati, Martha
AU - Valero-Elizondo, Javier
AU - Nasir, Khurram
AU - Ballantyne, Christie M.
AU - Virani, Salim S.
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/9
Y1 - 2020/9
N2 - Background: It is important to study the trends of e-cigarette use among various subgroups to understand which populations may be more susceptible to increased use and, therefore, are at risk for potential long-term health effects. Methods: We used cross-sectional data from the 2016-2017 Behavioral Risk Factor Surveillance System, a nationally representative U.S. telephone-based survey of adults aged 18 years or older. The 2017 dataset also includes data from participant interviews that had been conducted in the year 2018. Current e-cigarette use was defined as use of e-cigarettes every day or on some days. We analyzed data using survey weights to ensure representativeness of the data to the US population. Results: The study population consisted of 936,319 individuals, of whom 28,917 were current e-cigarette users, and corresponded to 10.8 million U.S. adults. Thirty percent were aged between 18 and 34 years. Forty-nine percent were men; 63% were white, 12% black, and 17% Hispanic. The overall prevalence of current e-cigarette use increased from 4.3% in 2016 to 4.8% in 2018. E-cigarette use significantly increased among middle-aged adults (from 3.9% to 5.2%; P = .004), women (from 3.3% to 4.3%; P <.001), and former smokers (from 5.2% to 7.9%; P = .02), but decreased among current smokers (from 14.5% to 13.8%; P = .02). Conclusions: In a nationally representative sample, we found important trends in e-cigarette use in a relatively short time frame. A significantly increasing prevalence of e-cigarette use was noted among middle-age adults, women, and former smokers. Our study provides important information about e-cigarette trends that can be used by clinicians when counselling patients and by regulatory agencies to develop public policies.
AB - Background: It is important to study the trends of e-cigarette use among various subgroups to understand which populations may be more susceptible to increased use and, therefore, are at risk for potential long-term health effects. Methods: We used cross-sectional data from the 2016-2017 Behavioral Risk Factor Surveillance System, a nationally representative U.S. telephone-based survey of adults aged 18 years or older. The 2017 dataset also includes data from participant interviews that had been conducted in the year 2018. Current e-cigarette use was defined as use of e-cigarettes every day or on some days. We analyzed data using survey weights to ensure representativeness of the data to the US population. Results: The study population consisted of 936,319 individuals, of whom 28,917 were current e-cigarette users, and corresponded to 10.8 million U.S. adults. Thirty percent were aged between 18 and 34 years. Forty-nine percent were men; 63% were white, 12% black, and 17% Hispanic. The overall prevalence of current e-cigarette use increased from 4.3% in 2016 to 4.8% in 2018. E-cigarette use significantly increased among middle-aged adults (from 3.9% to 5.2%; P = .004), women (from 3.3% to 4.3%; P <.001), and former smokers (from 5.2% to 7.9%; P = .02), but decreased among current smokers (from 14.5% to 13.8%; P = .02). Conclusions: In a nationally representative sample, we found important trends in e-cigarette use in a relatively short time frame. A significantly increasing prevalence of e-cigarette use was noted among middle-age adults, women, and former smokers. Our study provides important information about e-cigarette trends that can be used by clinicians when counselling patients and by regulatory agencies to develop public policies.
KW - Electronic cigarettes
KW - Temporal trends
UR - http://www.scopus.com/inward/record.url?scp=85089885217&partnerID=8YFLogxK
U2 - 10.1016/j.amjmed.2019.12.020
DO - 10.1016/j.amjmed.2019.12.020
M3 - Article
C2 - 32222250
AN - SCOPUS:85089885217
SN - 0002-9343
VL - 133
SP - e508-e511
JO - American Journal of Medicine
JF - American Journal of Medicine
IS - 9
ER -