首页> 外文期刊>Alcohol and alcoholism: international journal of the Medical Council on Alcoholism >Measures of learning, memory and processing speed accurately predict smoking status in short-term abstinent treatment-seeking alcohol-dependent individuals.
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Measures of learning, memory and processing speed accurately predict smoking status in short-term abstinent treatment-seeking alcohol-dependent individuals.

机译:学习,记忆和处理速度的测量可准确预测短期戒酒,寻求酒精依赖的人的吸烟状况。

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AIM: Chronic cigarette smoking appears to adversely affect several domains of neurocognition in those with alcohol use disorders (AUDs). The primary goal of this study was to identify which measures commonly used to assess neurocognition in AUDs accurately predict smoking status of individuals seeking treatment of alcohol dependence. METHODS: Treatment-seeking alcohol-dependent participants (ALC; n = 92) completed a comprehensive neuropsychological battery after 33 +/- 9 days of abstinence. Measures significantly different between smoking and non-smoking ALC were entered as predictors in binary logistic regression and discriminant analysis models, with smoking status as the dependent variable. RESULTS: Smoking ALC performed significantly worse than non-smoking ALC on measures assessing processing speed, auditory-verbal and visuospatial learning and memory. Using these measures as predictors, a logistic regression model accurately classified 91% of smokers and non-smokers into their respective groups overall and accounted for 68% of the variance in smoking status. The discriminant analysis confirmed the findings from the logistic regression. In smoking ALC, smoking chronicity was inversely related to performance on multiple measures after controlling for lifetime alcohol consumption. CONCLUSIONS: Measures of processing speed, learning and memory robustly predicted the smoking status of ALC with high sensitivity and specificity during early abstinence. The results identified specific measures within a comprehensive neurocognitive battery that discriminated smoking and non-smoking alcohol-dependent individuals with a high sensitivity and specificity. The association of greater smoking chronicity and poorer performance on multiple measures after control for alcohol consumption suggests that chronic smoking adds an additional burden to neurocognitive function in those with alcohol dependence.
机译:目的:慢性吸烟似乎会对酒精滥用障碍(AUDs)患者的神经认知功能产生不利影响。这项研究的主要目标是确定通常用于评估AUD的神经认知的哪些措施可以准确预测寻求酒精依赖治疗的个体的吸烟状况。方法:戒酒33 +/- 9天后,寻求酒精依赖的参与者(ALC; n = 92)完成了一次全面的神经心理学研究。在二元逻辑回归和判别分析模型中,以吸烟状态为因变量,将吸烟和不吸烟ALC之间显着不同的量度作为预测指标。结果:在评估加工速度,听觉语言和视觉空间学习与记忆的措施上,吸烟ALC的表现明显比不吸烟ALC差。使用这些度量作为预测指标,逻辑回归模型将91%的吸烟者和非吸烟者准确地分类到各自的总体组中,占吸烟状况差异的68%。判别分析证实了逻辑回归的发现。在控制生活中的饮酒量后,吸烟慢性与多项指标的表现呈负相关。结论:处理速度,学习和记忆力的测量强有力地预测了早期禁酒期间ALC的吸烟状态,具有很高的敏感性和特异性。结果确定了一个全面的神经认知电池中的特定措施,该电池以高度的敏感性和特异性来区分吸烟和非吸烟酒精依赖者。在控制了饮酒后,吸烟的慢性程度较高和多项措施的表现较差有关,这表明长期吸烟对酒精依赖者增加了神经认知功能的负担。

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