The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Prevalence and Distribution of E-Cigarette Use Among U.S. Adults: Behavioral Risk Factor Surveillance System, 2016
Open accessAbstract
Background: Contemporary data on the prevalence of e-cigarette use in the United States are limited. Objective: To report the prevalence and distribution of current e-cigarette use among U.S. adults in 2016. Design: Cross-sectional. Setting: Behavioral Risk Factor Surveillance System, 2016. Participants: Adults aged 18 years and older. Measurements: Prevalence of current e-cigarette use by sociodemographic groups, comorbid medical conditions, and states of residence. Results: Of participants with information on e-cigarette use (n = 466 842), 15 240 were current e-cigarette users, representing a prevalence of 4.5%, which corresponds to 10.8 million adult e-cigarette users in the United States. Of the e-cigarette users, 15% were never-cigarette smokers. The prevalence of current e-cigarette use was highest among persons aged 18 to 24 years (9.2% [95% CI, 8.6% to 9.8%]), translating to approximately 2.8 million users in this age range. More than half the current e-cigarette users (51.2%) were younger than 35 years. In addition, the age-standardized prevalence of e-cigarette use was high among men; lesbian, gay, bisexual, and transgender (LGBT) persons; current combustible cigarette smokers; and those with chronic health conditions. The prevalence of e-cigarette use varied widely among states, with estimates ranging from 3.1% (CI, 2.3% to 4.1%) in South Dakota to 7.0% (CI, 6.0% to 8.2%) in Oklahoma. Limitation: Data were self-reported, and no biochemical confirmation of tobacco use was available. Conclusion: E-cigarette use is common, especially in younger adults, LGBT persons, current cigarette smokers, and persons with comorbid conditions. The prevalence of use differs across states. These contemporary estimates may inform researchers, health care policymakers, and tobacco regulators about demographic and geographic distributions of e-cigarette use. Primary Funding Source: American Heart Association Tobacco Regulation and Addiction Center, which is funded by the U.S. Food and Drug Administration and National Heart, Lung, and Blood Institute.
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Kalkhoran, S., & Glantz, S. A. (2016) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(15)00521-4 · Cited by 895
Muller, C. J., & MacLehose, R. F. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu029 · Cited by 775
Tobacco-product use by adults and youths in the United States in 2013 and 2014
Kasza, K. A., Ambrose, B. K., Conway, K. P., Borek, N., Taylor, K., Goniewicz, M. L., Cummings, K. M., Sharma, E., Pearson, J. L., Green, V. R., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmsa1607538 · Cited by 609
Shahab, L., Goniewicz, M. L., Blount, B. C., Brown, J., McNeill, A., Alwis, K. U., Feng, J., Wang, L., & West, R. (2017) · Annals of Internal Medicine · doi:10.7326/m16-1107 · Cited by 538
Overview of Electronic Nicotine Delivery Systems: A Systematic Review
Glasser, A. M., Collins, L., Pearson, J. L., Abudayyeh, H., Niaura, R. S., Abrams, D. B., & Villanti, A. C. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.10.036 · Cited by 473
E-Cigarette Use Among Youth and Young Adults: A Major Public Health Concern
Murthy, V. H. (2017) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2016.4662 · Cited by 405
Electronic Cigarettes: A Policy Statement From the American Heart Association
Bhatnagar, A., Whitsel, L. P., Ribisl, K. M., Bullen, C., Chaloupka, F., Piano, M. R., Robertson, R. M., McAuley, T., Goff, D., & Benowitz, N. (2014) · Circulation · doi:10.1161/cir.0000000000000107 · Cited by 392
Self-citationElectronic Cigarette Use Among Adults: United States, 2014.
Schoenborn, C. A., & Gindi, R. M. (2015) · PubMed · Cited by 371
Zhu, S.-H., Zhuang, Y.-L., Wong, S., Cummins, S. E., & Tedeschi, G. J. (2017) · BMJ · doi:10.1136/bmj.j3262 · Cited by 353
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Self-citationMartin, S. S., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Barone Gibbs, B., Beaton, A. Z., Boehme, A. K., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001209 · Cited by 2,800
Metadata
- Authors
- Mirbolouk, M., Charkhchi, P., Kianoush, S., Uddin, S. M. I., Orimoloye, O. A., Jaber, R., Bhatnagar, A., Benjamin, E. J., Hall, M. E., DeFilippis, A. P., Maziak, W., Nasir, K., & Blaha, M. J.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2018-10-02
- Volume
- 169
- Issue
- 7
- Pages
- 429-438
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2889528655
- Cited by
- 331
- References
- 19
- FWCI
- 31.92
- Type
- journal article
- Language
- en
- Open access
- green
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- Mirbolouk, M., Charkhchi, P., Kianoush, S., Uddin, S. M. I., Orimoloye, O. A., Jaber, R., Bhatnagar, A., Benjamin, E. J., Hall, M. E., DeFilippis, A. P., Maziak, W., Nasir, K., & Blaha, M. J. (2018). Prevalence and Distribution of E-Cigarette Use Among U.S. Adults: Behavioral Risk Factor Surveillance System, 2016. Annals of Internal Medicine. https://doi.org/10.7326/m17-3440
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
