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Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017
IMPORTANCE: The prevalence of the use of electronic cigarettes (e-cigarettes) in the United States has grown rapidly since their introduction to the market more than a decade ago. While several studies have demonstrated an association between combustible cigarette smoking and depression, the associa...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902792/ https://www.ncbi.nlm.nih.gov/pubmed/31800073 http://dx.doi.org/10.1001/jamanetworkopen.2019.16800 |
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author | Obisesan, Olufunmilayo H. Mirbolouk, Mohammadhassan Osei, Albert D. Orimoloye, Olusola A. Uddin, S. M. Iftekhar Dzaye, Omar El Shahawy, Omar Al Rifai, Mahmoud Bhatnagar, Aruni Stokes, Andrew Benjamin, Emelia J. DeFilippis, Andrew P. Blaha, Michael J. |
author_facet | Obisesan, Olufunmilayo H. Mirbolouk, Mohammadhassan Osei, Albert D. Orimoloye, Olusola A. Uddin, S. M. Iftekhar Dzaye, Omar El Shahawy, Omar Al Rifai, Mahmoud Bhatnagar, Aruni Stokes, Andrew Benjamin, Emelia J. DeFilippis, Andrew P. Blaha, Michael J. |
author_sort | Obisesan, Olufunmilayo H. |
collection | PubMed |
description | IMPORTANCE: The prevalence of the use of electronic cigarettes (e-cigarettes) in the United States has grown rapidly since their introduction to the market more than a decade ago. While several studies have demonstrated an association between combustible cigarette smoking and depression, the association between e-cigarette use and depression has not been thoroughly studied. OBJECTIVE: To examine the association between e-cigarette use and depression in a nationally representative sample of the adult population in the United States. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional study of the Behavioral Risk Factor Surveillance System database, 2016 to 2017. The Behavioral Risk Factor Surveillance System is the largest national telephone-based survey of randomly sampled adults in the United States. A total of 892 394 participants with information on e-cigarette use and depression were included. Data analysis was conducted in May 2019. EXPOSURES: Electronic cigarette use status defined by self-report as never, former, or current use. MAIN OUTCOMES AND MEASURES: Self-reported history of a clinical diagnosis of depression. RESULTS: Of the 892 394 participants (414 326 [29.0%] aged ≥60 years; 502 448 [51.3%] women), there were 28 736 (4.4%) current e-cigarette users, of whom 13 071 (62.1%) were aged between 18 and 39 years. Compared with never e-cigarette users, current e-cigarette users were more likely to be single, male, younger than 40 years, and current combustible cigarette smokers (single, 120 797 [24.3%] vs 10 517 [48.4%]; men, 318 970 [46.6%] vs 14 962 [60.1%]; aged 18-39 years, 129 085 [32.2%] vs 13 071 [62.1%]; current combustible cigarette use, 217 895 [7.9%] vs 8823 [51.8%]). In multivariable adjusted models, former e-cigarette users had 1.60-fold (95% CI, 1.54-1.67) higher odds of reporting a history of clinical diagnosis of depression than never users, whereas current e-cigarette users had 2.10 (95% CI, 1.98-2.23) times higher odds. Additionally, higher odds of reporting depression were observed with increased frequency of use among current e-cigarette users compared with never users (daily use: odds ratio, 2.39; 95% CI, 2.19-2.61; occasional use: odds ratio, 1.96; 95% CI, 1.82-2.10). Similar results were seen in subgroup analyses by sex, race/ethnicity, smoking status, and student status. CONCLUSIONS AND RELEVANCE: This study found a significant cross-sectional association between e-cigarette use and depression, which highlights the need for prospective studies analyzing the longitudinal risk of depression with e-cigarette use. If confirmed by other study designs, the potential mental health consequences may have regulatory implications for novel tobacco products. |
format | Online Article Text |
id | pubmed-6902792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-69027922019-12-24 Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017 Obisesan, Olufunmilayo H. Mirbolouk, Mohammadhassan Osei, Albert D. Orimoloye, Olusola A. Uddin, S. M. Iftekhar Dzaye, Omar El Shahawy, Omar Al Rifai, Mahmoud Bhatnagar, Aruni Stokes, Andrew Benjamin, Emelia J. DeFilippis, Andrew P. Blaha, Michael J. JAMA Netw Open Original Investigation IMPORTANCE: The prevalence of the use of electronic cigarettes (e-cigarettes) in the United States has grown rapidly since their introduction to the market more than a decade ago. While several studies have demonstrated an association between combustible cigarette smoking and depression, the association between e-cigarette use and depression has not been thoroughly studied. OBJECTIVE: To examine the association between e-cigarette use and depression in a nationally representative sample of the adult population in the United States. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional study of the Behavioral Risk Factor Surveillance System database, 2016 to 2017. The Behavioral Risk Factor Surveillance System is the largest national telephone-based survey of randomly sampled adults in the United States. A total of 892 394 participants with information on e-cigarette use and depression were included. Data analysis was conducted in May 2019. EXPOSURES: Electronic cigarette use status defined by self-report as never, former, or current use. MAIN OUTCOMES AND MEASURES: Self-reported history of a clinical diagnosis of depression. RESULTS: Of the 892 394 participants (414 326 [29.0%] aged ≥60 years; 502 448 [51.3%] women), there were 28 736 (4.4%) current e-cigarette users, of whom 13 071 (62.1%) were aged between 18 and 39 years. Compared with never e-cigarette users, current e-cigarette users were more likely to be single, male, younger than 40 years, and current combustible cigarette smokers (single, 120 797 [24.3%] vs 10 517 [48.4%]; men, 318 970 [46.6%] vs 14 962 [60.1%]; aged 18-39 years, 129 085 [32.2%] vs 13 071 [62.1%]; current combustible cigarette use, 217 895 [7.9%] vs 8823 [51.8%]). In multivariable adjusted models, former e-cigarette users had 1.60-fold (95% CI, 1.54-1.67) higher odds of reporting a history of clinical diagnosis of depression than never users, whereas current e-cigarette users had 2.10 (95% CI, 1.98-2.23) times higher odds. Additionally, higher odds of reporting depression were observed with increased frequency of use among current e-cigarette users compared with never users (daily use: odds ratio, 2.39; 95% CI, 2.19-2.61; occasional use: odds ratio, 1.96; 95% CI, 1.82-2.10). Similar results were seen in subgroup analyses by sex, race/ethnicity, smoking status, and student status. CONCLUSIONS AND RELEVANCE: This study found a significant cross-sectional association between e-cigarette use and depression, which highlights the need for prospective studies analyzing the longitudinal risk of depression with e-cigarette use. If confirmed by other study designs, the potential mental health consequences may have regulatory implications for novel tobacco products. American Medical Association 2019-12-04 /pmc/articles/PMC6902792/ /pubmed/31800073 http://dx.doi.org/10.1001/jamanetworkopen.2019.16800 Text en Copyright 2019 Obisesan OH et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Obisesan, Olufunmilayo H. Mirbolouk, Mohammadhassan Osei, Albert D. Orimoloye, Olusola A. Uddin, S. M. Iftekhar Dzaye, Omar El Shahawy, Omar Al Rifai, Mahmoud Bhatnagar, Aruni Stokes, Andrew Benjamin, Emelia J. DeFilippis, Andrew P. Blaha, Michael J. Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017 |
title | Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017 |
title_full | Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017 |
title_fullStr | Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017 |
title_full_unstemmed | Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017 |
title_short | Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017 |
title_sort | association between e-cigarette use and depression in the behavioral risk factor surveillance system, 2016-2017 |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902792/ https://www.ncbi.nlm.nih.gov/pubmed/31800073 http://dx.doi.org/10.1001/jamanetworkopen.2019.16800 |
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