电子烟在新兴和年轻西印度成年人中的使用

Rayshell Dhandoolal, Shivanni De Gannes, Andrew Dhanoolal, Matthew Desaine, Dania Dukhoo, Stephen Duncombe, Dylan Dupraj, Tai Dorsett, I. Dialsingh, S. Sakhamuri, L. P. Pinto Pereira
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引用次数: 1

摘要

目前,没有关于西印度群岛使用电子烟的证据。在电子烟被引入特立尼达6年后,本研究调查了特立尼达年轻人使用电子烟的流行程度和相关因素。2016年5月至6月对18至40岁的年轻人进行了调查。根据调查结果,使用描述性统计和逻辑回归模型来确定电子烟使用的相关性。使用电子烟的患病率为24.6%,其中41.9%的人既使用电子烟又使用烟草香烟。在从未使用过卷烟的人群中,使用电子烟的比例很高(16.95%)。男性使用电子烟的可能性是女性的两倍(优势比[OR]: 2.60;95%可信区间[CI]: 1.85-3.68), 18-25岁的参与者比36-40岁的参与者更有可能使用电子烟(OR: 0.37;95% ci: 0.14-0.81)。单变量分析评估的电子烟使用的预测因子为当前吸烟(OR: 9.34;95% ci: 6.14-14.39;p<0.001),认为电子烟对健康有害(OR: 0.61;95% ci: 0.44-0.85;p = 0.004)。多因素logistic回归(校正OR)评估的预测因子为种族(p=0.043)、教育(p=0.012)和年龄组(p=0.007)。戒烟者使用电子烟的可能性是戒烟者的7.98倍(95% CI: 4.21-15.45),而那些知道电子烟含有尼古丁的人使用电子烟的可能性是戒烟者的2.70倍(95% CI: 1.53-4.86;p < 0.001)。构建了两个总结性量表来测量知识和感知。感知量表,而不是知识量表(Cronbach 's alpha=0.736),是电子烟使用的显著预测因子。特立尼达年轻人(24.6%)和从未吸烟的人(16.95%)使用电子烟的人数很高。当前吸烟者以及已经戒烟的人使用电子烟的风险增加。这项研究表明,年轻人对电子烟的了解程度很低,应该对他们进行电子烟使用方面的教育。有必要进一步研究使用电子烟的原因和易感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electronic Cigarette Use Among Emerging and Young West Indian Adults
Currently, evidence concerning electronic cigarette (e-cigarette) use in the West Indies is unavailable. This study examines the prevalence and associated factors of e-cigarette use in young Trinidadian adults, 6 years after e-cigarettes were introduced in Trinidad. Young adults between the ages of 18 and 40 years were surveyed from May–June 2016. Based on the survey results, descriptive statistics and logistic regression models were used to identify correlations in e-cigarette use. The prevalence of those who had used e-cigarettes was 24.6%, and 41.9% of these people had used both e-cigarettes and tobacco cigarettes. A high proportion (16.95%) of those who had never used tobacco cigarettes had used e-cigarettes. Males were twice as likely as females to have used e-cigarettes (odds ratio [OR]: 2.60; 95% confidence interval [CI]: 1.85–3.68), and participants aged 18–25 years were more likely than those aged 36–40 years to use e-cigarettes (OR: 0.37; 95% CI: 0.14–0.81). The predictors of e-cigarette use as assessed by univariate analysis were current tobacco cigarette smoking (OR: 9.34; 95% CI: 6.14–14.39; p<0.001) and the belief that e-cigarettes are dangerous to health (OR: 0.61; 95% CI: 0.44–0.85; p=0.004). The predictors as assessed by multivariate logistic regression (adjusted OR) were ethnicity (p=0.043), education (p=0.012), and age group (p=0.007). Those who quit using tobacco cigarettes were 7.98 times more likely to use e-cigarettes (95% CI: 4.21–15.45), and those who knew that e-cigarettes contain nicotine were 2.70 times more likely to use them (95% CI: 1.53–4.86; p<0.001). Two summative scales were constructed that measured knowledge and perception. The perception scale, but not the knowledge scale (Cronbach’s alpha=0.736), was a significant predictor of e-cigarette use. The number of e-cigarette users is high (24.6%) in young adults in Trinidad and in those who have never smoked tobacco (16.95%). Current smokers, as well as those who have quit smoking, are at an increased risk of e-cigarette use. This study established that young adults have a low level of knowledge regarding e-cigarettes and shows that they should be educated on e-cigarette use. Further research to examine the reasons for, and susceptibility to, e-cigarette use is necessary.
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