School of Health Sciences, University of Canterbury, New Zealand.
College of Education, Health and Human Development, University of Canterbury, New Zealand.
N Z Med J. 2021 Oct 8;134(1543):90-102.
To estimate prevalence and patterns of smoking and vaping, and associations between smoking and vaping, among university students in New Zealand when access to nicotine-containing e-cigarettes was restricted (ie, time point 1 or T1) and 12-months after restrictions were relaxed (ie, time point 2 or T2).
Cross-sectional surveys of university students across all eight universities: T1, March 2018 (n=1,932), and T2, March 2019 (n=2,004). Chi-squared tests compared responses between T1 and T2 and logistic regression examined associations between smoking and vaping with student characteristics.
The patterns of smoking (T1 vs T2): current (10.6% vs 12.1%, p=0.716), daily (5.0% vs 4.6%, p=0.121), and cigarettes/day, time to first cigarette, and avoidance of smoking in smoke-free spaces were not significantly different. In contrast, vaping: current (6.8% vs 13.5%, p<0.001), daily (2.7% vs 5.4%, p<0.001), and possibly vaping in smoke-free spaces, were significantly higher at T2. At both periods, males had higher odds of smoking, vaping and dual use; students aged 25-34 and long-term residents had higher odds of vaping. Asian and Other students had lower odds of smoking at T1, and Other students had higher odds of vaping at T2.
Vaping was significantly more prevalent at T2 than T1, without their being a corresponding decrease in smoking. Age, sex, student type and ethnicity predicted smoking and vaping.
当新西兰大学生获得含尼古丁电子烟的途径受到限制时(即时间点 1 或 T1),估计大学生吸烟和吸电子烟的流行率和模式,以及吸烟和吸电子烟之间的关联,并在限制放宽 12 个月后(即时间点 2 或 T2)进行评估。
对新西兰八所大学的所有大学生进行横断面调查:T1 为 2018 年 3 月(n=1932),T2 为 2019 年 3 月(n=2004)。卡方检验比较了 T1 和 T2 之间的反应,逻辑回归检验了吸烟和吸电子烟与学生特征之间的关联。
吸烟模式(T1 与 T2):当前吸烟率(10.6%与 12.1%,p=0.716)、每日吸烟率(5.0%与 4.6%,p=0.121)以及每日吸烟量、首次吸烟时间和避免在无烟区吸烟均无显著差异。相比之下,T2 时吸电子烟的情况:当前吸电子烟率(6.8%与 13.5%,p<0.001)、每日吸电子烟率(2.7%与 5.4%,p<0.001)和可能在无烟区吸电子烟的比例显著升高。在两个时期,男性吸烟、吸电子烟和双重吸烟的几率都更高;25-34 岁的学生和长期居民吸电子烟的几率更高。亚洲和其他族裔学生在 T1 时吸烟的几率较低,而其他族裔学生在 T2 时吸电子烟的几率较高。
T2 时吸电子烟的比例明显高于 T1,而吸烟的比例没有相应下降。年龄、性别、学生类型和族裔预测了吸烟和吸电子烟的情况。