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A count data analysis of the determinants of cigarette consumption evidence from the city of Sulaimanyah in 2015

机译:2015年苏莱曼尼亚市卷烟消费证据决定因素的计数数据分析

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Problem statement: The literature of smoking cigarettes well documented the harmful consequences of smoking on health statues. Exposure to smoking cigarette is associated with precocious death, economic losses to society, and a substantial burden on the health-care system. Significance of the study: The importance of the study comes from determining the influential factor of smoking decisions, thus, such studies might help anti-smoking policies to be more efficient in reducing the prevalence of smoking. Objective: this paper attempts to identify factors determining the participation decisions to smoke at the individual level in the City of Sulamnyah. Approach: Random samples of 650 individuals and employees have been selected to participate in survey questionnaires to study their participations of smoking. Hypothesis: It is assumed that age, education level, marital status, income, living with others or being alone, the influence of friends, having children, and health status are determine the number of smoking cigarette per day. Methodology: This paper will use Poisson regression model and negative binomial (NB) regression model to acquire the Hypothesis. Results: It is evident from the results that the elder, educated and married persons smoke less than younger, single, and less educated individuals. Moreover, friends have no influences in the participation to smoke. The results also identify that, income is not relevant in smoking determinations.
机译:问题陈述:吸烟文献充分记录了吸烟对健康状况的有害影响。吸烟与过早死亡,给社会造成经济损失以及给卫生保健系统造成沉重负担有关。研究的意义:该研究的重要性来自确定吸烟决定的影响因素,因此,此类研究可能有助于反吸烟政策更有效地降低吸烟率。目的:本文试图确定决定苏拉尼亚市个人吸烟参与决策的因素。方法:随机抽取650名个人和员工样本参加调查问卷,以研究他们的吸烟情况。假设:假设每天的吸烟次数是由年龄,受教育程度,婚姻状况,收入,与他人共同生活或独自一人,朋友的影响,有孩子以及健康状况决定的。方法:本文将使用Poisson回归模型和负二项式(NB)回归模型来获取假设。结果:从结果可以明显看出,老年人,受过教育和已婚的人比年轻,单身和受教育程度低的人少吸烟。而且,朋友对参加吸烟没有影响。结果还表明,收入与吸烟的确定无关。

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