One drink to a lifetime of drinking: Temporal structures of drinking patterns
One drink to a lifetime of drinking: Temporal structures of drinking patterns
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DOI：
10.1111/j.1530-0277.2002.tb02622.x
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发表时间：
2002-06-01
影响因子：
3.2
通讯作者：
Nochajski, TH
中科院分区：
文献类型：
--
作者：
Gruenewald, PJ;Russell, M;Nochajski, TH
本文介绍了在加拿大蒙特利尔举行的2001年酒精中毒研究会会议上的一个专题讨论会的会议记录。共同主席是Paul J. Gruenewald和Marcia Russell。研讨会的重点是数学，方法和统计方法，以评估从短期（每日和每月）到很长一段时间（生命过程）的饮酒模式。研讨会上提出的研究认为，（1）基于模型的饮酒模式分析方法可以为评估饮酒风险提供全面的基础，（2）长期跟踪日常饮酒的数据采集技术可以阐明与滥用和依赖相关的饮酒的独特特征，和（3）回顾性数据可用于评估与慢性问题结果相关的饮酒的生命过程轨迹。每一个演讲都指向一个综合的方法来理解与酒精使用有关的急性和慢性风险。演讲内容包括：（1）Paul J. Gruenewald和Fred约翰逊的当前饮酒的数学模型;（2）John Light和Rob Lipton的饮酒问题的数学模型;（3）John Searles的从24个月的每日数据中确定的饮酒模式;和（4）认知一生饮酒史和饮酒的自然史，作者：Marcia Russell，Paul J. Gruenewald，Fred约翰逊，Maurizio Trevisan，Jo Freudenheim，保拉Muti，Ann玛丽Carosella和托马斯H.诺查斯基
This article presents the proceedings of a symposium at the 2001 Research Society on Alcoholism Meeting in Montreal, Canada. The cochairs were Paul J. Gruenewald and Marcia Russell. The focus of the symposium was on mathematical, methodological, and statistical approaches to the assessment of drinking patterns from short (daily and monthly) to very long periods (the life course) of time. The research presented in the symposium argues that (1) model-based approaches to analyzing drinking patterns can provide comprehensive bases for assessing drinking risks, (2) data acquisition technologies that track daily drinking over long periods of time can illuminate unique features of drinking associated with abuse and dependence, and (3) retrospective data can be used to assess life-course trajectories of drinking associated with chronic problem outcomes. Each of the presentations points toward an integrated approach to understanding acute and chronic risks related to alcohol use. The presentations were (1) Mathematical models of current drinking, by Paul J. Gruenewald and Fred Johnson; (2) Mathematical models of drinking problems, by John Light and Rob Lipton; (3) Patterns of drinking ascertained from daily data aggregated across 24 months, by John Searles; and (4) Cognitive lifetime drinking histories and natural histories of drinking, by Marcia Russell, Paul J. Gruenewald, Fred Johnson, Maurizio Trevisan, Jo Freudenheim, Paola Muti, Ann Marie Carosella, and Thomas H. Nochajski.