The impact of self-control indices on peer smoking and adolescent smoking progression

The impact of self-control indices on peer smoking and adolescent smoking progression
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DOI:
10.1093/jpepsy/jsi079
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发表时间:
2006-03-01
影响因子:
3.6
通讯作者:
Moss, HB
Moss, HB
中科院分区:
心理学3区
文献类型:
--
作者:
Audrain-McGovern, J;Rodriguez, D;Moss, HB

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目的确定自我控制变量对基线吸烟和吸烟进展的直接影响,并确定自我控制是否通过对同伴吸烟的影响对吸烟行为产生间接影响。方法研究对象为918名青少年,从9年级到12年级,完成同伴吸烟、自我控制和吸烟的自我报告。探索性因素分析(EFA)进行评估的因素结构的41个项目的自我控制措施。探索性因素分析结果表明,被试的行为结构由冲动控制、计划、敌意责备、注意力失调、恶意和身体攻击性六个因素组成。结果潜在增长模型的结果表明,(OR = 0.81,CI = 0.73-0.90),敌意责备(OR = 0.89,CI = 0.81-0.99),身体攻击(OR = 1.16,CI = 1.06-1.27)对基线吸烟有直接影响,而计划(OR = 0.90,CI = 0.82-0.99)和冲动控制(OR = 1.15,CI = 1.02-1.28)通过基线同伴吸烟间接影响青少年基线吸烟。有没有显着的直接或间接影响的自我控制指数吸烟的进展。同伴吸烟进展(吸烟的同伴数量)对青少年吸烟进展有直接影响,随着时间的推移,吸烟的同伴数量的增加会增加青少年发展到更高吸烟水平的几率。结论青少年吸烟预防和干预计划的结果可能会通过解决自我控制行为,因为他们似乎有直接影响吸烟和间接影响,通过吸烟的同龄人。
Objective To determine the direct impact of self-control variables on baseline smoking and smoking progression and determine whether self-control had indirect effects on smoking practices through effects on peer smoking. Methods Study participants were 918 adolescents who were followed from 9th through the 12th grade and completed self-report measures of peer smoking, self-control, and cigarette smoking. An exploratory factor analysis ( EFA) was conducted to assess the factor structure of a 41-item self-control measure. The EFA indicated a six-factor structure comprising of impulsive control, planning, hostile blaming, attentional disregulation, conscientiousness, and physical aggression. Results The results of a latent growth model indicated that conscientiousness ( OR = 0.81, CI = 0.73-0.90), hostile blaming ( OR = 0.89, CI = 0.81-0.99), and physical aggression ( OR = 1.16, CI = 1.06-1.27) had direct effects on baseline smoking, whereas planning ( OR = 0.90, CI = 0.82-0.99) and impulse control ( OR = 1.15, CI = 1.02-1.28) had indirect effects on adolescent smoking at baseline through baseline peer smoking. There were no significant direct or indirect effects of the self-control indices on smoking progression. There was a direct effect of peer smoking progression ( number of peers who smoked) on adolescent smoking progression, such that increases in the number of peers who smoked across time increased the odds that an adolescent would progress to a higher level of smoking. Conclusions Youth smoking prevention and intervention program outcomes may potentially improve by addressing self-control behaviors as they appear to have direct effects on smoking and indirect effects through peers who smoke.