经常使用大麻的人群的人口统计学特征、大麻使用情况及与大麻使用后果相关的抑郁因素。
Demographic, Cannabis Use, and Depressive Correlates of Cannabis Use Consequences in Regular Cannabis Users.
机构信息
Department of Psychology, Wayne State University, Detroit, Michigan.
Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan.
出版信息
Am J Addict. 2019 Jul;28(4):295-302. doi: 10.1111/ajad.12889. Epub 2019 Apr 23.
BACKGROUND AND OBJECTIVES
Regular cannabis users experience cannabis-related consequences across many domains of functioning. The present study examined demographic, cannabis use, and depressive correlates of cannabis consequences. We hypothesized that (1) earlier onset of use would predict greater psychological and functional consequences; and (2) women would endorse more psychological and withdrawal consequences.
METHODS
Data were collected from an urban sample of 184 adults who reported regular cannabis use. Seventeen items from a cannabis consequence checklist were grouped into three domains: Psychological Consequences, Cannabis Withdrawal, and Functional Consequences. Three multiple regressions were performed to explore demographic and cannabis use correlates of each domain. Correlations between domains and depressive symptoms were assessed using Pearson's r.
RESULTS
Greater endorsement on the Psychological Consequence subgroup was predicted by female sex, lower educational attainment, and treatment-seeking history for cannabis abuse/dependence. Individuals with greater number of quit attempts or treatment-seeking history endorsed more items in the Cannabis Withdrawal domain. Although the model failed to reach significance for Functional Consequences, age at onset of regular and daily cannabis use were negatively associated with this domain. Correlational analyses demonstrated higher Beck Depression Inventory-Second Edition scores were related to greater endorsement of Psychological Consequence and Cannabis Withdrawal items.
DISCUSSION AND CONCLUSIONS
Regular cannabis users report consequences of use, which can be grouped into content-specific subgroups. Individual characteristics are differentially associated with these subgroups.
SCIENTIFIC SIGNIFICANCE
Understanding which individual characteristics are related to cannabis use sequelae could help identify those at risk for greater consequences, thus leading to improved assessment and treatment interventions. (Am J Addict 2019;28:295-302).
背景与目的
经常使用大麻的人会在许多功能领域经历与大麻相关的后果。本研究考察了人口统计学、大麻使用和抑郁与大麻后果的相关性。我们假设：（1）较早的使用开始时间会预测更大的心理和功能后果；（2）女性会认可更多的心理和戒断后果。
方法
本研究数据来自一个城市成年人样本，他们报告了经常使用大麻。大麻后果检查表中的 17 项被分为三个领域：心理后果、大麻戒断和功能后果。进行了三次多元回归分析，以探讨每个领域的人口统计学和大麻使用相关性。使用 Pearson's r 评估各领域与抑郁症状之间的相关性。
结果
女性、较低的教育程度和寻求大麻滥用/依赖治疗的历史，预测了心理后果亚组的更大认可。有更多戒烟尝试或寻求治疗历史的个体，在大麻戒断领域中认可更多的项目。尽管功能后果模型未达到显著水平，但规律使用大麻和每日使用大麻的起始年龄与该领域呈负相关。相关分析表明，贝克抑郁量表第二版的较高分数与心理后果和大麻戒断项目的更大认可相关。
讨论与结论
经常使用大麻的人报告了使用的后果，可以将这些后果分为特定内容的亚组。个体特征与这些亚组存在差异相关。
科学意义
了解哪些个体特征与大麻使用的后果相关，可能有助于识别那些有更大后果风险的人，从而导致更好的评估和治疗干预。
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