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
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
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DOI：
10.3109/10826084.2014.958858
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发表时间：
2015-01-01
影响因子：
2
通讯作者：
Pulvers, Kim
中科院分区：
文献类型：
--
作者：
Berg, Carla J.;Romero, Devan R.;Pulvers, Kim
导言：考虑到年轻人中非日常吸烟和替代烟草使用的增加，我们检查了一年来大学生中各种烟草产品使用变化的性质，以及一年随访中使用的预测因素。方法：于2010年秋季对东南地区6所高校的学生(N=4840，应答率=20.1%)进行在线调查，并于2011年秋季随机抽样2000人(N=718，应答率=35.9%)进行追踪调查。分析了698名参与者的数据，这些参与者拥有一年内烟草、大麻和酒精使用的完整数据，烟草使用的感知危害，以及“吸烟者”的模式(根据吸烟者分类标准)。结果：随访时当前吸烟的基线预测因素包括白人(p=.001)、吸烟频率(p<；.001)、替代烟草使用(p<；.001)和吸烟的危害(p=.02)；轻微显著的预测因素包括大麻使用(p=.06)和吸烟者分类评分较低(p=.07)。在基线非每日吸烟者的随访中，当前吸烟的基线预测因素包括更频繁的吸烟(p=.008)；吸烟者量表得分较低是一个略微显著的预测因素(p=.06)。随访时替代烟草使用的基线预测因素包括男性(p=.007)、吸烟频率(p=.04)、替代烟草使用(p<；.001)和饮酒频率(p=.003)；轻微显著的预测因素包括大麻使用(p=.07)以及对无烟烟草(p=.06)和雪茄制品(p=.08)危害的较低感知。结论：控烟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感知风险，即使是在低水平。
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.