Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States; Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.
Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States; Quantitative Biomedical Sciences Program, Dartmouth College, Hanover, NH, United States.
Psychiatry Res. 2024 Sep;339:116110. doi: 10.1016/j.psychres.2024.116110. Epub 2024 Jul 27.
Anhedonia and depressed mood are two cardinal symptoms of major depressive disorder (MDD). Prior work has demonstrated that cannabis consumers often endorse anhedonia and depressed mood, which may contribute to greater cannabis use (CU) over time. However, it is unclear (1) how the unique influence of anhedonia and depressed mood affect CU and (2) how these symptoms predict CU over more proximal periods of time, including the next day or week (rather than proceeding weeks or months). The current study used data collected from ecological momentary assessment (EMA) in a sample with MDD (N = 55) and employed mixed effects models to detect and predict weekly and daily CU from anhedonia and depressed mood over 90 days. Results indicated that anhedonia and depressed mood were significantly associated with CU, yet varied at daily and weekly scales. Moreover, these associations varied in both strength and directionality. In weekly models, less anhedonia and greater depressed mood were associated with greater CU, and directionality of associations were reversed in the models looking at any CU (compared to none). Findings provide evidence that anhedonia and depressed mood demonstrate complex associations with CU and emphasize leveraging EMA-based studies to understand these associations with more fine-grained detail.
快感缺失和抑郁情绪是重度抑郁症(MDD)的两个主要症状。先前的研究表明,大麻使用者经常出现快感缺失和抑郁情绪,这可能导致他们随着时间的推移而增加大麻使用量(CU)。然而,目前尚不清楚(1)快感缺失和抑郁情绪的独特影响如何影响 CU,以及(2)这些症状如何预测更接近的 CU 时间段,包括第二天或一周(而不是数周或数月)。本研究使用从 MDD 患者的生态瞬时评估(EMA)中收集的数据(N=55),并采用混合效应模型来检测和预测 90 天内快感缺失和抑郁情绪对每周和每日 CU 的影响。结果表明,快感缺失和抑郁情绪与 CU 显著相关,但在每日和每周的范围内存在差异。此外,这些关联在强度和方向上都有所不同。在每周的模型中,快感缺失程度降低和抑郁情绪程度增加与 CU 增加相关,而在研究任何 CU(而非没有 CU)的模型中,关联的方向则相反。这些发现为快感缺失和抑郁情绪与 CU 之间存在复杂的关联提供了证据,并强调利用基于 EMA 的研究来更详细地了解这些关联。