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Does a failed quit attempt reduce cigarette consumption following resumption of smoking? The effects of time and quit attempts on the longitudinal analysis of self-reported cigarette smoking intensity

机译:戒烟失败尝试是否会减少吸烟后的吸烟量?时间和戒烟尝试对自我报告的吸烟强度纵向分析的影响

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摘要

California Tobacco Survey respondents were asked the intensity of their cigarette smoking 1 year previously and at the time of the survey. Respondents reported a generally lower smoking intensity at survey time compared with 1 year previously. Multivariable statistical models on the change in smoking intensity in the past year were fitted to assess the effects of low-tar cigarette use, a quit attempt in the past year, smoking intensity 1 year previously, and demographic variables (age, education, income, and race). The most important predictor of change in intensity was the intensity 1 year previously. The next most important predictor was whether a quit attempt had been made in the previous year. The demographic variables also were found to have a significant effect, although their effects were of smaller magnitude. Low-tar cigarette use was not a significant predictor of change in intensity in multivariable analysis. The effect of a quit attempt on the reduction in intensity of smoking suggests that periods of cessation may reduce the intensity of smoking and the level of addiction for several months following relapse. Consequently, it may be important to control for cessation activity in studies comparing exposures from conventional tobacco products to exposures from new products that purport to offer lower harm.
机译:加利福尼亚烟草调查的受访者被问及一年前和调查时吸烟的强度。受访者报告在调查时的吸烟强度与一年前相比普遍较低。拟合了过去一年吸烟强度变化的多变量统计模型,以评估低焦油量香烟使用,过去一年的戒烟尝试,一年前的吸烟强度以及人口统计学变量(年龄,教育程度,收入,和种族)。强度变化最重要的预测指标是一年前的强度。下一个最重要的预测因素是前一年是否曾尝试过戒烟。尽管人口统计学变量的影响程度较小,但也发现它们具有显着影响。在多变量分析中,低焦油量香烟使用不是强度变化的重要预测指标。戒烟尝试对减少吸烟强度的影响表明,戒烟一段时间可能会在复发后的几个月内降低吸烟强度和成瘾水平。因此,在比较传统烟草产品的暴露量与声称危害较小的新产品的暴露量的研究中,控制戒烟活动可能很重要。

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