Substance abuse as a dynamical disease: Evidence and clinical implications of nonlinearity in a time series of daily alcohol consumption

被引:30
作者
Warren, K
Hawkins, RC
Sprott, JC
机构
[1] Ohio State Univ, Coll Social Work, Columbus, OH 43210 USA
[2] Univ Texas, Dept Psychol, Austin, TX 78712 USA
[3] Univ Wisconsin, Dept Phys, Madison, WI 53706 USA
关键词
alcohol abuse; alcohol drinking patterns; chaos theory; dynamics; time series;
D O I
10.1016/S0306-4603(01)00234-9
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Several authors have suggested that chaos theory, the study of nonlinear dynamics and the application of the knowledge gained to natural and social phenomena, might yield insight into substance-related disorders. In this article, we examine the dynamics of substance abuse by fitting a nonlinear model to a time series of the amount of alcohol, which an adult male with a diagnosis of substance abuse consumed on a daily basis. The nonlinear model shows a statistically superior fit when compared to a linear model. We then use the model to explore a question that. is pertinent to the treatment of substance abuse, whether controlled drinking or abstinence is a preferred strategy for maintaining sobriety. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:369 / 374
页数:6
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