首页> 外文期刊>Social Biology >Demographic and Socioeconomic Links to Cigarette Smoking
【24h】

Demographic and Socioeconomic Links to Cigarette Smoking

机译:吸烟的人口和社会经济联系

获取原文
获取原文并翻译 | 示例
       

摘要

This paper illuminates the demographic and socioeconomic factors associated with smoking statuses. It employs the 1990 National Health Interview Survey's Health Promotion and Disease Prevention Supplement and logistic regression to examine the covariates of smoking status among the U.S. adult population. Polychotomous logistic regression, which provides an alternate way to examine smoking practices, simultaneously considers multiple variables and their interactions, controls for other important covariates, produces predicted values and patterns, and allows multiple comparisons. By examining interactions, we have found that age displays distinct, often curvilinear, patterns with smoking; that compared to females, males have higher rates of cigarette consumption except at the youngest ages; that Anglos, especially Anglo males, exhibit high probabilities of cigarette consumption but also high probabilities of being former smokers; that Black males exhibit high probabilities of light smoking, but only at the older ages, and that they also exhibit high probabilities of being former light smokers; and that Mexican-American females are the least likely to currently smoke or to have ever smoked. By clearly elucidating the demographic and socioeconomic variations in smoking, arguably the most salient marker of health behavior, we can better target programs and policies geared toward the reduction of smoking-related diseases and deaths.
机译:本文阐明了与吸烟状况有关的人口和社会经济因素。它采用了1990年美国国民健康访问调查的《健康促进和疾病预防补编》和logistic回归分析了美国成年人口吸烟状况的协变量。多分类逻辑回归分析提供了另一种方法来检查吸烟行为,同时考虑了多个变量及其相互作用,控制了其他重要的协变量,产生了预测值和模式,并允许进行多次比较。通过检查相互作用,我们发现年龄表现出明显的,通常是曲线的吸烟模式。与女性相比,除了最年轻的年龄段,男性的香烟消费率更高;盎格鲁人,尤其是盎格鲁人,显示出高的卷烟消费能力,但也有过吸烟的可能性;黑人男性有较高的抽烟可能性,但仅在较老的年龄才有,而且他们也有过成为轻度吸烟者的可能性;墨西哥裔女性目前吸烟或曾经吸烟的可能性最小。通过清楚地阐明吸烟(可能是健康行为的最重要标志)的人口统计学和社会经济差异,我们可以更好地针对旨在减少与吸烟有关的疾病和死亡的计划和政策。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号