Ferdous Nafisa, Zúñiga María Luisa, Courtney Kelly E
JDP in Interdisciplinary Research on Substance Use, Division of Global Public Health, UC San Diego, and School of Social Work, San Diego State University, San Diego, CA, USA.
School of Social Work, San Diego State University, San Diego, CA, USA.
Mental Health Sci. 2024 Sep;2(3). doi: 10.1002/mhs2.63. Epub 2024 Apr 23.
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.
Investigate neurocognitive task performance during maximum alcohol use in late adolescence as predictors of drinking behaviors 3-7 years later.
Analyses () were conducted on a longitudinal dataset 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= -.19, = .048, partial r = .039). While better inhibition/cognitive flexibility at T1 predicted increases in follow-up drinks per drinking day at T2 (β= .18, = .016, partial r= .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.
饮酒对后期神经认知功能的影响已得到充分研究,但很少有研究调查青少年开始饮酒后的神经认知是否能预测后期饮酒行为的变化。
调查青少年晚期饮酒量最大时的神经认知任务表现,作为3至7年后饮酒行为的预测指标。
对一个纵向数据集进行分析,该数据集涉及12至13岁的青少年,随访16年。时间1(T1)定义为个体在研究的前10年中的最大饮酒年份,时间2(T2)是T1后3至7年的首个可用数据录入时间。估计了四个预测随访期饮酒情况的分层线性回归模型:饮酒天数、每次饮酒日的平均饮酒量、饮酒峰值和暴饮次数。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,以及它们与性别的相互作用,同时对T1时的年龄、随访持续时间进行协变量分析,并控制T1时的饮酒情况。
T1时更好的视觉空间能力预测了T2时后期暴饮次数的减少(β = -0.19,p = 0.048,偏相关系数r = 0.039)。而T1时更好的抑制/认知灵活性预测了T2时随访期每次饮酒日饮酒量的增加(β = 0.18,p = 0.016,偏相关系数r = 0.057)。
研究结果表明,青少年晚期饮酒量最大时的特定神经认知能力可作为后期每次饮酒量变化的预测指标,并可能为针对该年龄组的干预研究提供参考。