Depressive Symptoms Predict Current E-Cigarette Use Among College Students in Texas
Depressive Symptoms Predict Current E-Cigarette Use Among College Students in Texas
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DOI：
10.1093/ntr/ntx014
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发表时间：
2017-09-01
影响因子：
4.7
通讯作者：
Perry, Cheryl L.
中科院分区：
文献类型：
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作者：
Bandiera, Frank C.;Loukas, Alexandra;Perry, Cheryl L.
简介：尚无研究探讨电子烟使用与年轻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的时间内建立德克萨斯州大学生电子烟使用与抑郁症状升高之间潜在的双向关系。方法：对德克萨斯州 5445 名大学生进行了调查，并进行了 6 个月和 1 年的随访。使用纵向交叉滞后模型同时检查三个研究波中当前或过去 30 天的电子烟使用与抑郁症状升高之间的双向关系。使用包含 10 项的流行病学研究中心抑郁量表 (CES-D) 测量抑郁症状，以 >= 10 为切点来测量升高的抑郁症状。协变量包括基线年龄、性别、大学类型（2 年或 4 年）以及使用的其他替代烟草产品。结果：电子烟的使用并不能预测 6 个月和 1 年随访中抑郁症状的加重。然而，抑郁症状在 6 个月和 1 年的随访中预测了电子烟的使用。结论：当前的研究表明，抑郁症状可以预测随后的电子烟的使用，反之则不然。未来的研究需要复制当前的研究结果，并进一步建立因果关系机制，这可以为食品和药物管理局的监管规划提供信息。启示：最近有证据表明电子烟的使用与抑郁症状和心理健康问题加剧之间存在横断面关联。目前还没有研究使用纵向设计来检验这些关联。这项研究建立了一种时间关系，即抑郁症状的升高预示着大学生 6 个月后会使用电子烟。未来的研究需要建立关联和因果关系的机制。
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.