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抑郁症状可预测德克萨斯州大学生当前使用电子烟的情况。

Depressive Symptoms Predict Current E-Cigarette Use Among College Students in Texas.

作者信息

Bandiera Frank C, Loukas Alexandra, Li Xiaoyin, Wilkinson Anna V, Perry Cheryl L

机构信息

University of Texas School of Public Health, Houston, TX.

University of Texas Southwestern Medical Center Simmons Comprehensive Cancer Center, Dallas, TX.

出版信息

Nicotine Tob Res. 2017 Sep 1;19(9):1102-1106. doi: 10.1093/ntr/ntx014.

Abstract

INTRODUCTION

No studies have examined the longitudinal relationship between e-cigarette use and elevated depressive symptoms among young adults. The main objective of the current study was to establish a potential bi-directional relationship between e-cigarette use and elevated depressive symptoms among college students in Texas, across a 1 year period of time.

METHODS

A survey of 5445 college students in Texas was conducted with 6-month and 1-year follow-ups. A longitudinal cross-lagged model was used to simultaneously examine the bi-directional relationships between current, or past 30-day, e-cigarette use and elevated depressive symptoms across the three study waves. Depressive symptoms were measured using a 10-item Center for Epidemiologic Studies Depression Scale (CES-D) with a cutpoint of ≥ 10 to measure elevated depressive symptoms. Covariates included baseline age, gender, college type (2- or 4-year), and other alternative tobacco products used.

RESULTS

E-cigarette use did not predict elevated depressive symptoms at 6-month and 1-year follow-ups. However, depressive symptoms predicted e-cigarette use at both 6-month and 1-year follow-ups.

CONCLUSIONS

The current study indicates that depressive symptoms predict subsequent e-cigarette use and not vice versa. Future studies are needed to replicate current findings and also further establish the mechanisms for causality, which could inform Food and Drug Administration regulatory planning.

IMPLICATIONS

There has been recent evidence for cross-sectional associations between e-cigarette use and elevated depressive symptoms and mental health problems. There have been no studies examining these associations using longitudinal designs. This study established a temporal relationship, such that elevated depressive symptoms predicted e-cigarette use 6 months later among college students. Future research is needed to establish the mechanisms of association as well as causality.

摘要

引言

尚无研究探讨电子烟使用与年轻成年人抑郁症状加重之间的纵向关系。本研究的主要目的是在一年时间内,确定德克萨斯州大学生中电子烟使用与抑郁症状加重之间潜在的双向关系。

方法

对德克萨斯州的5445名大学生进行了一项调查,并进行了6个月和1年的随访。采用纵向交叉滞后模型,同时检验在三个研究阶段中当前或过去30天的电子烟使用与抑郁症状加重之间的双向关系。抑郁症状采用10项流行病学研究中心抑郁量表(CES-D)进行测量,以≥10分为切点来衡量抑郁症状加重情况。协变量包括基线年龄、性别、大学类型(两年制或四年制)以及使用的其他替代烟草产品。

结果

在6个月和1年的随访中,电子烟使用并未预测出抑郁症状加重。然而,抑郁症状在6个月和1年的随访中均预测了电子烟的使用。

结论

本研究表明,抑郁症状可预测随后的电子烟使用,反之则不然。未来需要进行研究以重复当前的发现,并进一步确定因果关系机制,这可为美国食品药品监督管理局的监管规划提供参考。

启示

最近有证据表明电子烟使用与抑郁症状加重及心理健康问题之间存在横断面关联。尚无研究采用纵向设计来检验这些关联。本研究建立了一种时间关系,即抑郁症状加重可预测6个月后大学生的电子烟使用情况。未来需要进行研究以确定关联机制以及因果关系。

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