Addiction Development and Psychopathology (ADAPT)-lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Center for Substance Use and Addiction Research. (CESAR), Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Addiction. 2023 Oct;118(10):1908-1919. doi: 10.1111/add.16231. Epub 2023 May 25.
Models of alcohol use risk suggest that drinking motives represent the most proximal risk factors on which more distal factors converge. However, little is known about how distinct risk factors influence each other and alcohol use on different temporal scales (within a given moment versus over time). We aimed to estimate the dynamic associations of distal (personality and life stressors) and proximal (drinking motives) risk factors, and their relationship to alcohol use in adolescence and early adulthood using a novel graphical vector autoregressive (GVAR) panel network approach.
DESIGN, SETTING AND CASES: We estimated panel networks on data from the IMAGEN study, a longitudinal European cohort study following adolescents across three waves (aged 16, 19 and 22 years). Our sample consisted of 1829 adolescents (51% females) who reported alcohol use on at least one assessment wave.
Risk factors included personality traits (NEO-FFI: neuroticism, extraversion, openness, agreeableness and conscientiousness; SURPS: impulsivity and sensation-seeking), stressful life events (LEQ: sum scores of stressful life events), and drinking motives [drinking motives questionnaire (DMQ): social, enhancement, conformity, coping anxiety and coping depression]. We assessed alcohol use [alcohol use disorders identification test (AUDIT): quantity and frequency] and alcohol-related problems (AUDIT: related problems).
Within a given moment, social [partial correlation (pcor) = 0.17] and enhancement motives (pcor = 0.15) co-occurred most strongly with drinking quantity and frequency, while coping depression motives (pcor = 0.13), openness (pcor = 0.05) and impulsivity (pcor = 0.09) were related to alcohol-related problems. The temporal network showed no predictive associations between distal risk factors and drinking motives. Social motives (beta = 0.21), previous alcohol use (beta = 0.11) and openness (beta = 0.10) predicted alcohol-related problems over time (all P < 0.01).
Heavy and frequent alcohol use, along with social drinking motives, appear to be key targets for preventing the development of alcohol-related problems throughout late adolescence. We found no evidence for personality traits and life stressors predisposing towards distinct drinking motives over time.
酒精使用风险模型表明,饮酒动机代表了最接近的风险因素,而更遥远的因素则集中在这些因素上。然而,对于不同时间尺度(特定时刻与随时间推移)上不同的风险因素如何相互影响以及与饮酒之间的关系,我们知之甚少。我们旨在使用新颖的图形向量自回归(GVAR)面板网络方法来估计远端(人格和生活压力源)和近端(饮酒动机)风险因素的动态关联,以及它们与青少年和早期成年期饮酒之间的关系。
设计、设置和案例:我们根据 IMAGEN 研究的数据估计了面板网络,这是一项针对青少年的欧洲纵向队列研究,共进行了三波(16、19 和 22 岁)。我们的样本包括 1829 名青少年(51%为女性),他们在至少一次评估波次中报告了饮酒情况。
风险因素包括人格特质(NEO-FFI:神经质、外向性、开放性、宜人性和尽责性;SURPS:冲动性和寻求刺激)、生活压力事件(LEQ:生活压力事件的总分)和饮酒动机[饮酒动机问卷(DMQ):社交、增强、从众、应对焦虑和应对抑郁]。我们评估了饮酒情况[酒精使用障碍识别测试(AUDIT):饮酒量和饮酒频率]和与饮酒相关的问题(AUDIT:相关问题)。
在特定时刻,社交(部分相关系数(pcor)= 0.17)和增强动机(pcor = 0.15)与饮酒量和频率最密切相关,而应对抑郁动机(pcor = 0.13)、开放性(pcor = 0.05)和冲动性(pcor = 0.09)与与饮酒相关的问题有关。时间网络显示远端风险因素与饮酒动机之间没有预测性关联。社交动机(β= 0.21)、先前的饮酒行为(β= 0.11)和开放性(β= 0.10)随着时间的推移预测与饮酒相关的问题(均 P < 0.01)。
大量和频繁的饮酒以及社交饮酒动机似乎是预防青少年晚期饮酒相关问题发展的关键目标。我们没有发现人格特质和生活压力源随着时间的推移而导致特定饮酒动机的证据。