不经常吸烟者、经常吸烟者和经常吸烟者:他们的特点和其他烟草使用模式

Yingning Wang, H. Sung, Tingting Yao, J. Lightwood, W. Max
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引用次数: 14

摘要

不每天吸烟的吸烟者的比例随着时间的推移而增加,但非每天吸烟者是一个异质群体。我们比较了不经常非日常吸烟者、频繁非日常吸烟者和日常美国成年吸烟者的特征和其他烟草制品的使用。方法分析1998年、2000年、2005年和2010年全国健康访谈调查的数据。当前吸烟者分为每日吸烟者、不频繁非每日吸烟者(过去30天内吸烟1-12天)和频繁非每日吸烟者(过去30天内吸烟13-29天)。采用多项logistic回归分析分析不经常、经常和每日吸烟的相关性。结果在现有吸烟者中,8.3%为不常吸烟者,8.1%为常吸烟者,83.6%为常吸烟者。随着时间的推移,不经常吸烟和每天吸烟的流行程度有所增加,非西班牙裔黑人的增加幅度小于非西班牙裔白人。不经常吸烟和经常吸烟与每日吸烟的调整后的几率因年龄、种族/民族、教育、贫困状况、婚姻状况、地区、过去12个月的戒烟尝试和酗酒而异。鼻烟使用者(与非鼻烟使用者相比)不经常吸烟的可能性是每日吸烟者的2.4倍。在种族/民族、教育、婚姻状况、地区、戒烟尝试和鼻烟使用方面,不经常吸烟者和经常吸烟者之间也存在差异。结论不频繁吸烟者与频繁吸烟者和日常吸烟者在社会人口统计学、戒烟尝试和鼻烟使用方面存在差异。在制定有针对性的烟草控制和戒烟计划时,应考虑非日常吸烟者的异质性。不经常吸烟者和不经常吸烟者在年龄、种族/民族、教育程度、贫困状况、婚姻状况、地区、戒烟尝试等方面与日常吸烟者存在差异,在种族/民族、教育程度、婚姻状况、地区、戒烟尝试等方面存在差异。酗酒者更可能是不经常吸烟和经常吸烟的人,而不是每天吸烟的人。研究发现,当前鼻烟使用者不经常吸烟的几率高于每天吸烟和经常吸烟的几率。这些结果强调了在制定有针对性的烟草控制和戒烟计划时,承认非日常吸烟者吸烟频率差异的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Infrequent and Frequent Nondaily Smokers and Daily Smokers: Their Characteristics and Other Tobacco Use Patterns
Introduction The proportion of smokers who do not smoke daily has increased over time, but nondaily smokers are a heterogeneous group. We compare characteristics and other tobacco product use of infrequent nondaily, frequent nondaily, and daily US adult smokers. Methods We analyzed data from the 1998, 2000, 2005, and 2010 National Health Interview Surveys. Current smokers were categorized as daily, infrequent nondaily (smoked 1-12 days in the past 30 days), and frequent nondaily (smoked 13-29 days in the past 30 days) smokers. Multinomial logistic regression analysis was used to analyze the correlates of infrequent nondaily, frequent nondaily, and daily smoking. Results Among current smokers, 8.3% were infrequent nondaily, 8.1% were frequent nondaily, and 83.6% were daily smokers. The prevalence of infrequent versus daily smoking increased over time, with a smaller increase among non-Hispanic Blacks than non-Hispanic Whites. The adjusted odds of both infrequent and frequent smoking versus daily smoking differed by age, race/ethnicity, education, poverty status, marital status, region, quit attempts in the past 12 months, and binge drinking. Snuff users (vs. non-snuff users) were 2.4 times as likely to be infrequent than daily smokers. There were also differences in race/ethnicity, education, marital status, region, quit attempts, and snuff use between infrequent versus frequent smokers. Conclusion Infrequent smokers differ from both frequent and daily smokers in socio-demographics, quit attempts, and snuff use. The heterogeneity of nondaily smokers should be considered in developing targeted tobacco control and smoking cessation programs. Implications Infrequent and frequent nondaily smokers were found to differ from daily smokers in age, race/ethnicity, education, poverty status, marital status, region, and quit attempts and they were different from each other in race/ethnicity, education, marital status, region, and quit attempts. Binge drinkers were more likely to be infrequent smokers and frequent smokers versus daily smokers. Current snuff users were found to have increased odds of infrequent smoking versus daily smoking and versus frequent smoking. These results highlight the importance of acknowledging the differences among nondaily smokers in smoking frequency in developing targeted tobacco control and smoking cessation programs.
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