The many faces of affect: a multilevel model of drinking frequency/quantity and alcohol dependence symptoms among young adults.
The many faces of affect: a multilevel model of drinking frequency/quantity and alcohol dependence symptoms among young adults.
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DOI：
10.1037/a0036926
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发表时间：
2014-08
影响因子：
4.6
通讯作者：
Neal DJ
中科院分区：
文献类型：
--
作者：
Simons JS;Wills TA;Neal DJ
本研究以263名大学生为研究对象，采用多层次结构方程模型，对情感功能的3个方面（状态情感、特质情感和情感不稳定性）与饮酒的3个结果（饮酒可能性、饮酒天数和依赖症状）之间的关系进行了研究。参与者提供了纵向爆破设计中1.3年内49天的经验采样数据。在日常水平上，积极影响与饮酒的可能性和数量直接相关。每日负面情绪与饮酒日的高消费和高依赖症状直接相关。人与人之间的直接影响：情感不稳定性与更高的特质负相关，但不是积极的，影响。特质积极影响与饮酒天数比例呈负相关，而消极情感预测饮酒天数比例更大。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：特质积极影响与较少的依赖症状通过饮酒天数的比例。特质负面影响与更大的依赖症状，通过饮酒天数的比例。结果区分积极和消极的影响可能性与饮酒量和状态与特质饮酒结果的关系，并强调了影响变异性预测酒精依赖症状的重要性。
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.