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The Many Faces of Affect: A Multilevel Model of Drinking Frequency/Quantity and Alcohol Dependence Symptoms Among Young Adults

机译:多方面的影响:年轻人饮酒频率/数量和酒精依赖症状的多层次模型

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摘要

This research tested a multilevel structural equation model of associations between 3 aspects of affective functioning (state affect, trait affect, and affective lability) and 3 alcohol outcomes (likelihood of drinking, quantity on drinking days, and dependence symptoms) in a sample of 263 college students. Participants provided 49 days of experience sampling data over 1.3 years in a longitudinal burst design. Within-person results: At the daily level, positive affect was directly associated with greater likelihood and quantity of alcohol consumption. Daily negative affect was directly associated with higher consumption on drinking days and with higher dependence symptoms. Between-person direct effects: Affect lability was associated with higher trait negative, but not positive, affect. Trait positive affect was inversely associated with the proportion of drinking days, whereas negative affectivity predicted a greater proportion of drinking days. Affect lability exhibited a direct association with dependence symptoms. Between-person indirect effects: Trait positive affect was associated with fewer dependence symptoms via proportion of drinking days. Trait negative affect was associated with greater dependence symptoms via proportion of drinking days. The results distinguish relations of positive and negative affect to likelihood versus amount of drinking and state versus trait drinking outcomes, and highlight the importance of affect variability for predicting alcohol dependence symptoms.
机译:这项研究在263个样本中测试了情感功能的3个方面(状态影响,特质影响和情感不稳定性)与3种饮酒结果(饮酒的可能性,饮酒天数和依赖性症状)之间的关联的多级结构方程模型。大学生。参与者在纵向爆破设计中提供了1.3年中49天的采样经验。人际交往的结果:在日常水平上,积极的影响与更大的饮酒可能性和饮酒量直接相关。每天的负面影响与饮酒日的高消耗量和较高的依赖性症状直接相关。人际直接影响:情感不稳定性与较高的性状负面影响相关,而非正面影响。特质积极影响与饮酒天数成反比,而消极情感影响饮酒天数所占比例更大。情感不稳定性与依赖症状直接相关。人与人之间的间接影响:特质的积极影响与依赖饮酒天数的依赖性症状减少有关。饮酒天数所导致的特质负面影响与更大的依赖症状相关。结果区分了正面影响和负面影响与可能性,饮酒量和状态与特征饮酒结果之间的关系,并突出了影响变异性对预测酒精依赖症状的重要性。

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