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Perceived Harm of Tobacco Products and Individual Schemas of a Smoker in Relation to Change in Tobacco Product Use Over One Year Among Young Adults

机译:年轻人一年内对烟草制品的感知危害和吸烟者的个人形态与烟草制品使用变化的关系

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Introduction: Given increases in nondaily smoking and alternative tobacco use among young adults, we examined the nature of change of various tobacco product use among college students over a year and predictors of use at one-year follow-up. Methods: An online survey was administered to students at six Southeast colleges and universities (N = 4,840; response rate = 20.1%) in Fall 2010, with attempts to follow up in Fall 2011 with a random subsample of 2,000 participants (N = 718; response rate = 35.9%). Data were analyzed from 698 participants with complete data regarding tobacco, marijuana, and alcohol use over a one-year period, perceived harm of tobacco use, and schemas of a "smoker" (as per the Classifying a Smoker Scale). Results: Baseline predictors of current smoking at follow-up included being White (p = .001), frequency of smoking (p < .001), alternative tobacco use (p < .001), and perceived harm of smoking (p = .02); marginally significant predictors included marijuana use (p = .06) and lower scores on the Classifying a Smoker Scale (p = .07). Baseline predictors of current smoking at follow-up among baseline nondaily smokers included more frequent smoking (p = .008); lower Classifying a Smoker Scale score was a marginally significant predictor (p = .06). Baseline predictors of alternative tobacco use at follow-up included being male (p = .007), frequency of smoking (p = .04), alternative tobacco use (p < .001), and frequency of alcohol use (p = .003); marginally significant predictors included marijuana use (p = .07) and lower perceived harm of smokeless tobacco (p = .06) and cigar products (p = .08). Conclusions: Tobacco control campaigns and interventions might target schemas of a smoker and perceived risks of using various tobacco products, even at low levels.
机译:简介:鉴于年轻人每天不吸烟和替代烟草使用的增加,我们研究了大学生一年中各种烟草产品使用变化的性质以及在一年的随访中使用烟草的预测因素。方法:于2010年秋季对东南六所大学和大学的学生进行了在线调查(N = 4,840;回应率= 20.1%),并试图在2011年秋季进行随访,随机抽取了2,000名参与者(N = 718;回应率= 35.9%)。对来自698名参与者的数据进行了分析,这些数据涉及以下方面的完整数据:一年期间的烟草,大麻和酒精使用,感知的烟草使用危害以及“吸烟者”的模式(根据吸烟者量表的分类)。结果:随访时当前吸烟的基线预测指标包括白人(p = .001),吸烟频率(p <.001),替代吸烟(p <.001)和感知到的吸烟危害(p =。 02);边缘显着的预测变量包括大麻使用(p = .06)和吸烟者量表分类的较低分数(p = .07)。基线非每日吸烟者中随访时当前吸烟的基线预测因素包括更频繁吸烟(p = .008);吸烟者量表评分较低的分类是一个显着的预测指标(p = .06)。随访时替代烟草使用的基线预测指标包括男性(p = .007),吸烟频率(p = .04),替代烟草使用(p <.001)和饮酒频率(p = .003) );略有重要的预测因素包括大麻使用(p = .07)和较低的无烟烟草危害(p = .06)和雪茄产品危害(p = .08)。结论:烟草控制运动和干预措施可能针对吸烟者的模式和使用各种烟草产品的风险,甚至是低烟度。

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