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WISDM 主要和次要依赖动机:与两所大学样本中自我监测吸烟动机的关联。

WISDM primary and secondary dependence motives: associations with self-monitored motives for smoking in two college samples.

机构信息

Department of Psychological Sciences, University of Missouri, USA.

出版信息

Drug Alcohol Depend. 2011 Apr 1;114(2-3):207-16. doi: 10.1016/j.drugalcdep.2010.10.005. Epub 2010 Nov 24.

Abstract

The Wisconsin Inventory of Smoking Dependence Motives (WISDM) assesses 13 domains of smoking motivation emphasized by diverse theoretical perspectives. Emerging findings support a distinction between four primary dependence motives (PDM) indexing core features of tobacco dependence and nine secondary dependence motives (SDM) indexing accessory features. The current study explored the validity of this distinction using data from two samples (Ns=50 and 88) of college smokers who self-monitored their reasons for smoking with electronic diaries. PDM scores were associated with diary endorsement of habitual or automatic motives for smoking individual cigarettes, which are conceptually consistent with the content of the PDM subscales. SDM did not clearly predict conceptually related self-monitored motives when tested alone. However, when these two correlated scale composites were co-entered, PDM predicted being a daily vs. nondaily smoker, being higher in nicotine dependence, and smoking individual cigarettes because of habit or automaticity. Conversely, after PDM-SDM co-entry, the unique variance in the SDM composite predicted the tendency to report smoking individual cigarettes for situational or instrumental motives (e.g., to control negative affect). The results suggest that the PDM composite may reflect core motivational features of nicotine dependence in these young smokers. The relative prominence of primary motives in advanced or dependent use may be even clearer when motives for smoking are assessed in real time rather than reported via questionnaire.

摘要

威斯康星州吸烟依赖动机量表(WISDM)评估了 13 个不同理论观点强调的吸烟动机领域。新出现的研究结果支持将四个主要依赖动机(PDM)与九个次要依赖动机(SDM)区分开来,前者索引烟草依赖的核心特征,后者索引辅助特征。本研究使用来自两个样本(n=50 和 88)的大学生吸烟者的数据,这些吸烟者使用电子日记自我监测吸烟的原因,探索了这种区分的有效性。PDM 得分与日记中对吸烟个人香烟的习惯性或自动动机的认可有关,这与 PDM 分量表的内容在概念上是一致的。当单独测试时,SDM 并没有清楚地预测概念上相关的自我监测动机。然而,当这两个相关的量表组合被共同纳入时,PDM 预测了每天与非每天吸烟者的区别、尼古丁依赖程度更高,以及因为习惯或自动性而吸烟个人香烟。相反,在 PDM-SDM 共同纳入后,SDM 组合的独特方差预测了报告因情境或工具性动机(例如,控制负面情绪)而吸烟个人香烟的倾向。研究结果表明,在这些年轻吸烟者中,PDM 组合可能反映了尼古丁依赖的核心动机特征。当以实时而不是通过问卷报告的方式评估吸烟动机时,主要动机在高级或依赖使用中的相对突出性可能更加明显。

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