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大学生吸烟者抑郁水平与吸烟动机的关系。

The relationship between depression level and smoking motives in college smokers.

机构信息

Department of Psychology, Louisiana State University, USA.

出版信息

Psychol Addict Behav. 2012 Mar;26(1):162-5. doi: 10.1037/a0023772. Epub 2011 May 9.

Abstract

While the link between cigarette smoking and depression symptomatology has been well established, more research is needed to determine how smoking motives are related to depression levels in smokers. Specifically, smoking motives related to the friendship-like attachment to smoking (i.e., affiliative attachment) may play an important role in individuals reporting depressive symptomatology. The present study examined the relationship between three smoking motives and depression levels in a sample of 79 mildly nicotine-dependent, college student cigarette smokers. A hierarchical multiple regression analysis was conducted with depression as the dependent variable and gender and cigarettes per day as the independent variables (Step 1), positive and negative reinforcement motives (Step 2), and affiliative attachment motives (Step 3). Results of regression analyses indicated that affiliative attachment motives explained significant variance in participant depression level above and beyond that explained by positive and negative reinforcement motives. These findings suggest that smokers with elevated depression should be assessed for social functioning and affiliative attachment smoking motives, and future research should be conducted to determine if individuals with high levels of affiliative attachment may benefit from smoking cessation treatment programs with an enhanced social support component.

摘要

虽然吸烟与抑郁症状之间的联系已经得到充分证实,但仍需要更多的研究来确定吸烟动机与吸烟者的抑郁水平之间的关系。具体来说,与吸烟的友谊般依恋(即亲和依恋)有关的吸烟动机可能在报告抑郁症状的个体中发挥重要作用。本研究在 79 名轻度尼古丁依赖的大学生吸烟者样本中,考察了三种吸烟动机与抑郁水平之间的关系。以抑郁为因变量,以性别和每天吸烟量为自变量(第 1 步),以正性和负性强化动机(第 2 步)和亲和依恋动机(第 3 步)进行分层多元回归分析。回归分析的结果表明,亲和依恋动机在参与者的抑郁水平上解释了显著的方差,超过了正性和负性强化动机所解释的方差。这些发现表明,抑郁程度较高的吸烟者应该评估其社交功能和亲和依恋吸烟动机,未来的研究应确定是否具有高水平亲和依恋的个体可能受益于具有增强社会支持成分的戒烟治疗计划。

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