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Objective <p>This study examined the association of e-cigarette use status and history of depression among American Indian (AI) adults who smoke.</p> Method <p>We conducted a secondary data analysis using survey data from 375 AI adult smokers collected in 2016 at a tribally operated healthcare facility in northeast Oklahoma. Multivariable logistic regression was used to estimate the association between e-cigarette use and self-reported history of depression while adjusting for potential confounders.</p> Results <p>In the adjusted analyses, compared to never users, current and former e-cigarette users had higher estimated odds of depression history (adj. OR 2.66; 95% CI 1.25–5.72 and adj. OR 2.38; 95% CI 1.36–4.26, respectively). Additional factors independently associated with a history of depression included having strong cravings to smoke (adj. OR 2.28; 95% CI 1.13–4.88) and having a history of chronic disease (adj. OR 2.09; 95% CI 1.20–3.70) after controlling for confounding variables.</p> Conclusions <p>E-cigarette use among AI adult smokers was independently associated with a history of depression. Whether e-cigarette use among people who smoke results from depression or whether depression results from the combined use of e-cigarettes and cigarettes requires future research using a prospective cohort design.</p>

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E-Cigarette Use and Depression Among American Indian Adults Who Smoke

  • 期刊论文

  • 发表日期：

    2025年1月24日

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  • Brady A. Garrett,
  • Ashley L. Comiford,
  • Justin D. Dvorak,
  • Kai Ding,
  • Dorothy A. Rhoades,
  • Theodore Wagener,
  • Ashley B. Cole,
  • Paul G. Spicer,
  • Mark P. Doescher

摘要

Objective

This study examined the association of e-cigarette use status and history of depression among American Indian (AI) adults who smoke.

Method

We conducted a secondary data analysis using survey data from 375 AI adult smokers collected in 2016 at a tribally operated healthcare facility in northeast Oklahoma. Multivariable logistic regression was used to estimate the association between e-cigarette use and self-reported history of depression while adjusting for potential confounders.

Results

In the adjusted analyses, compared to never users, current and former e-cigarette users had higher estimated odds of depression history (adj. OR 2.66; 95% CI 1.25–5.72 and adj. OR 2.38; 95% CI 1.36–4.26, respectively). Additional factors independently associated with a history of depression included having strong cravings to smoke (adj. OR 2.28; 95% CI 1.13–4.88) and having a history of chronic disease (adj. OR 2.09; 95% CI 1.20–3.70) after controlling for confounding variables.

Conclusions

E-cigarette use among AI adult smokers was independently associated with a history of depression. Whether e-cigarette use among people who smoke results from depression or whether depression results from the combined use of e-cigarettes and cigarettes requires future research using a prospective cohort design.