Cannabis abuse as a risk factor for depressive symptoms
Cannabis abuse as a risk factor for depressive symptoms
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DOI：
10.1176/appi.ajp.158.12.2033
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发表时间：
2001-12-01
影响因子：
17.7
通讯作者：
Bovasso, GB
中科院分区：
文献类型：
--
作者：
Bovasso, GB
目的：本研究旨在估计大麻滥用在多大程度上是抑郁症状的危险因素，而不是自我治疗抑郁症的努力。方法：1980 年巴尔的摩流行病学聚集区 (ECA) 研究的参与者 (N=1,920) 提供了数据，这些参与者在 1994 年至 1995 年间进行了重新评估，作为后续研究的一部分。该分析主要针对两个群体：基线时没有报告抑郁症状的人 (N=849) 和基线时未诊断出大麻滥用的人 (N=1,837)。通过诊断访谈时间表评估抑郁症、大麻滥用和其他精神疾病的症状。结果：在调整年龄、性别、反社会症状和其他基线协变量后，在没有基线抑郁症状的参与者中，基线时被诊断为大麻滥用的参与者在后续评估中出现抑郁症状的可能性是那些没有大麻滥用诊断的参与者的四倍。特别是，这些参与者在随访期间更有可能经历自杀意念和快感缺失。在基线时没有诊断出大麻滥用的参与者中，基线时的抑郁症状未能显着预测后续评估时的大麻滥用。结论：需要进一步研究来确定滥用大麻的个体导致其抑郁风险较高的特征，以估计其抑郁造成的损害程度。
Objective: This study sought to estimate the degree to which cannabis abuse is a risk factor for depressive symptoms rather than an effort to self-medicate depression.Method: Participants (N=1,920) in the 1980 Baltimore Epidemiologic Catchment Area (ECA) study who were reassessed between 1994 and 1995 as part of a followup study provided the data. The analysis focused on two cohorts: those who reported no depressive symptoms at baseline (N=849) and those with no diagnosis of cannabis abuse at baseline (N=1,837). Symptoms of depression, cannabis abuse, and other psychiatric disorders were assessed with the Diagnostic Interview Schedule.Results: In participants with no baseline depressive symptoms, those with a diagnosis of cannabis abuse at baseline were four times more likely than those with no cannabis abuse diagnosis to have depressive symptoms at the follow-up assessment, after adjusting for age, gender, antisocial symptoms, and other baseline covariates. In particular, these participants were more likely to have experienced suicidal ideation and anhedonia during the follow-up period, Among the participants who had no diagnosis of cannabis abuse at baseline, depressive symptoms at baseline failed to significantly predict cannabis abuse at the follow-up assessment.Conclusions: Further research is needed to identify characteristics of individuals who abuse cannabis that account for their higher risk of depression to estimate the degree of impairment resulting from their depression.