Relationship Between Electronic Cigarettes and Alcohol Use Behaviors: A Systematic Review and Meta-Analysis.

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Title: Relationship Between Electronic Cigarettes and Alcohol Use Behaviors: A Systematic Review and Meta-Analysis.
Authors: Pratima, Pandey (AUTHOR), Sinha, Anit Kumar (AUTHOR), Tiwari, Pramil (AUTHOR)
Source: Substance Use & Misuse. 2026, Vol. 61 Issue 10, p1680-1692. 13p.
Subjects: Alcoholism risk factors, Substance abuse, Risk assessment, Medical information storage & retrieval systems, Risk-taking behavior, Prediction models, Electronic cigarettes, Smoking, Nicotine, Binge drinking, Meta-analysis, Descriptive statistics, Systematic reviews, MEDLINE, Odds ratio, Alcohol drinking, Online information services, Confidence intervals, Data analysis software, Disease complications
Geographic Terms: Canada, United States
Abstract: Background: Nicotine and alcohol are among the most commonly co-used substances. The rise in e-cigarette use, particularly among younger populations, has introduced new dynamics in substance use behaviors, potentially altering traditional consumption patterns and raising concerns about the relationship between e-cigarette use and alcohol consumption. This systematic review and meta-analysis aimed to synthesize existing data to elucidate the relationship between e-cigarette use and alcohol consumption behaviors. Methods: A literature search was conducted across PubMed, Embase, and Web of Science up to July 15, 2024. Studies reporting measures of association between alcohol behaviors and e-cigarette use were included. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using random-effects models, with heterogeneity assessed via the I2 statistic and prediction intervals. The Newcastle-Ottawa Scale was used for quality assessment. All statistical analyses were performed in R software version 4.4. Results: Among the 4,771 records screened, 34 studies were included. The meta-analysis revealed a significant association between alcohol use and e-cigarette use (pooled OR = 1.796, 95% CI: 1.412 to 2.285). Additionally, binge drinking was strongly associated with e-cigarette use (pooled OR = 3.078, 95% CI: 2.364 to 4.007). E-cigarette users were also more likely to engage in alcohol consumption (pooled OR = 3.731, 95% CI: 2.137 to 6.514) and binge drinking (pooled OR = 4.071, 95% CI: 3.209 to 5.166). Conclusion: The findings indicate a possible relationship between e-cigarette use and alcohol consumption and binge drinking. Integrated prevention strategies addressing the co-use of these substances, particularly among youth and young adults, are needed. [ABSTRACT FROM AUTHOR]
Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Relationship Between Electronic Cigarettes and Alcohol Use Behaviors: A Systematic Review and Meta-Analysis.
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  Data: <searchLink fieldCode="AR" term="%22Pratima%2C+Pandey%22">Pratima, Pandey</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sinha%2C+Anit+Kumar%22">Sinha, Anit Kumar</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tiwari%2C+Pramil%22">Tiwari, Pramil</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Substance+Use+%26+Misuse%22">Substance Use & Misuse</searchLink>. 2026, Vol. 61 Issue 10, p1680-1692. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Alcoholism+risk+factors%22">Alcoholism risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Substance+abuse%22">Substance abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Risk-taking+behavior%22">Risk-taking behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+cigarettes%22">Electronic cigarettes</searchLink><br /><searchLink fieldCode="DE" term="%22Smoking%22">Smoking</searchLink><br /><searchLink fieldCode="DE" term="%22Nicotine%22">Nicotine</searchLink><br /><searchLink fieldCode="DE" term="%22Binge+drinking%22">Binge drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Meta-analysis%22">Meta-analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22MEDLINE%22">MEDLINE</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol+drinking%22">Alcohol drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Canada%22">Canada</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Nicotine and alcohol are among the most commonly co-used substances. The rise in e-cigarette use, particularly among younger populations, has introduced new dynamics in substance use behaviors, potentially altering traditional consumption patterns and raising concerns about the relationship between e-cigarette use and alcohol consumption. This systematic review and meta-analysis aimed to synthesize existing data to elucidate the relationship between e-cigarette use and alcohol consumption behaviors. Methods: A literature search was conducted across PubMed, Embase, and Web of Science up to July 15, 2024. Studies reporting measures of association between alcohol behaviors and e-cigarette use were included. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using random-effects models, with heterogeneity assessed via the I2 statistic and prediction intervals. The Newcastle-Ottawa Scale was used for quality assessment. All statistical analyses were performed in R software version 4.4. Results: Among the 4,771 records screened, 34 studies were included. The meta-analysis revealed a significant association between alcohol use and e-cigarette use (pooled OR = 1.796, 95% CI: 1.412 to 2.285). Additionally, binge drinking was strongly associated with e-cigarette use (pooled OR = 3.078, 95% CI: 2.364 to 4.007). E-cigarette users were also more likely to engage in alcohol consumption (pooled OR = 3.731, 95% CI: 2.137 to 6.514) and binge drinking (pooled OR = 4.071, 95% CI: 3.209 to 5.166). Conclusion: The findings indicate a possible relationship between e-cigarette use and alcohol consumption and binge drinking. Integrated prevention strategies addressing the co-use of these substances, particularly among youth and young adults, are needed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10826084.2026.2619020
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1680
    Subjects:
      – SubjectFull: Alcoholism risk factors
        Type: general
      – SubjectFull: Substance abuse
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Medical information storage & retrieval systems
        Type: general
      – SubjectFull: Risk-taking behavior
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Electronic cigarettes
        Type: general
      – SubjectFull: Smoking
        Type: general
      – SubjectFull: Nicotine
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      – SubjectFull: Binge drinking
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      – SubjectFull: Meta-analysis
        Type: general
      – SubjectFull: Descriptive statistics
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      – SubjectFull: Systematic reviews
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      – SubjectFull: Odds ratio
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      – SubjectFull: Alcohol drinking
        Type: general
      – SubjectFull: Online information services
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Disease complications
        Type: general
      – SubjectFull: Canada
        Type: general
      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: Relationship Between Electronic Cigarettes and Alcohol Use Behaviors: A Systematic Review and Meta-Analysis.
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            NameFull: Pratima, Pandey
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            NameFull: Sinha, Anit Kumar
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              M: 08
              Text: 2026
              Type: published
              Y: 2026
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