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美国印第安成年吸烟者中电子烟的使用与抑郁症

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

作者信息

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

机构信息

Department of Public Health, Cherokee Nation, 1325 East Boone Street, Tahlequah, OK, 74464, USA.

Cherokee Nation Health Services, Tahlequah, OK, 74464, USA.

出版信息

J Racial Ethn Health Disparities. 2025 Jan 24. doi: 10.1007/s40615-025-02294-z.

Abstract

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.

摘要

目的

本研究调查了美国印第安(AI)成年吸烟者中电子烟使用状况与抑郁症病史之间的关联。

方法

我们使用2016年在俄克拉荷马州东北部一家部落运营的医疗机构收集的375名AI成年吸烟者的调查数据进行了二次数据分析。多变量逻辑回归用于估计电子烟使用与自我报告的抑郁症病史之间的关联,同时对潜在的混杂因素进行调整。

结果

在调整分析中,与从不使用电子烟的人相比,当前和曾经使用电子烟的人有抑郁症病史的估计几率更高(调整后的比值比分别为2.66;95%置信区间1.25 - 5.72和调整后的比值比2.38;95%置信区间1.36 - 4.26)。在控制混杂变量后,与抑郁症病史独立相关的其他因素包括有强烈的吸烟渴望(调整后的比值比2.28;95%置信区间1.13 - 4.88)和有慢性病病史(调整后的比值比2.09;95%置信区间1.20 - 3.70)。

结论

AI成年吸烟者中使用电子烟与抑郁症病史独立相关。吸烟者使用电子烟是由抑郁症导致,还是抑郁症是由电子烟和香烟的联合使用导致,这需要未来采用前瞻性队列设计进行研究。

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