青春期后期最大饮酒量时的神经认知标记是日后饮酒行为变化的预测因子

Nafisa Ferdous PhD, María Luisa Zúñiga PhD, Kelly E. Courtney PhD
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摘要

有关饮酒对日后神经认知功能影响的研究很多,但很少有研究调查青春期开始饮酒后的神经认知是否能预测日后饮酒的变化。本研究旨在调查青春期晚期最大饮酒量时的神经认知任务表现,以预测 3-7 年后的饮酒行为。研究对青少年(12-13 岁)的纵向数据集(n = 105)进行了分析,并对这些青少年进行了长达 16 年的跟踪调查。时间 1(T1)被定义为个人在前 10 个研究年度内的最高饮酒年份,时间 2(T2)为时间 1 后 3-7 年的首次可用数据输入。对预测后续饮酒情况的四个分层线性回归模型进行了估算:饮酒天数、每饮酒天的平均饮酒量、高峰饮酒量和狂欢次数。所有模型都包括抑制/认知灵活性、视觉空间能力、言语记忆、工作记忆及其与性别的交互作用,同时与T1时的年龄、随访时间和T1时的饮酒量进行协整。T1时较好的视觉空间能力预示着T2时酗酒次数的减少(β = -0.19,p = 0.048,部分r2 = 0.039)。而T1时较好的抑制/认知灵活性则预示着T2时每饮酒日后续饮酒量的增加(β = 0.18,p = 0.016,部分r2 = 0.057)。研究结果表明,青春期晚期最大饮酒量时的特定神经认知能力可预测日后每次饮酒量的变化,并有可能为针对该年龄组的干预研究提供参考。
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Neurocognitive markers during maximum alcohol use in late adolescence as predictors of change in later drinking behaviors

The influence of alcohol use on later neurocognitive functioning is well researched, yet few studies have investigated whether neurocognition post-drinking initiation in adolescence predicts changes in later alcohol use. The objective of this study was to investigate neurocognitive task performance during maximum alcohol use in late adolescence as predictors of drinking behaviors 3–7 years later. Analyses (n = 105) were conducted on a longitudinal data set involving adolescents (12–13 years old) who were followed for 16 years. Time 1 (T1) was defined as the individuals' maximum drinking year within the first 10 study years and Time 2 (T2) was the first available data entry 3–7 years after T1. Four hierarchical linear regression models predicting follow-up alcohol use were estimated: drinking days, average drinks per drinking day, peak drinks, and binge episodes. All models included inhibition/cognitive flexibility, visuospatial ability, verbal memory, working memory, and their interactions with sex, while covarying for age at T1, follow-up duration, and controlling for T1 drinking. Better visuospatial ability at T1 predicted decreases in later binge episodes at T2 (β = −0.19, p = 0.048, partial r2 = 0.039). While better inhibition/cognitive flexibility at T1 predicted increases in follow-up drinks per drinking day at T2 (β = 0.18, p = 0.016, partial r2 = 0.057). Findings suggest specific neurocognitive abilities during maximum drinking in late adolescence are useful as predictors of change in later drinking quantity per occasion and could potentially inform intervention research targeting this age group.

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