Assessing Public Awareness about the Health Effects of Nicotine and Cigarettes Using Negative Binomial Regression
Science Journal of Applied Mathematics and Statistics
Volume 2, Issue 3, June 2014, Pages: 60-65
Received: May 19, 2014; Accepted: Jun. 9, 2014; Published: Jun. 20, 2014
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Awoke Seyoum Tegegne, Statistics department, College of Science, Bahir Dar University, Ethiopia
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Both the public and private sectors have acted responsibly to help decrease smoking-related deaths by putting health warnings on all cigarette packages. This study investigated the social or demographic factors associated with public awareness of health warnings on the harmful effects of environmental tobacco smoke based on baseline data collected by the health bureau of Amhara Region (in Ethiopia). Respondents in the survey were asked to recall the number of anti-smoking messages which appeared as warning messages on cigarette advertisements. The number of anti-smoking messages recalled ranged from 0 to 7 with a mean of 2.90 (variance of 3.11) and a median of 3.00. Because the variance (3.11) was different from mean (2.9), the negative binomial regression model provided an improved fit to the data and accounted better for over dispersion than the Poisson regression model, which assumed that the mean and variance are the same. The level of education was found to be the most significant factors. Moreover, the lower income socio-economic class nonsmokers’ anti-smoking messages recalling rate was 2.5 times that of the lower socio-economic class smokers. Unlike men, women’s anti-smoking message response rate increased with income.
Environmental Tobacco Smoke, Negative Binomial Regression, Over Dispersion, Poisson Regression, Rate Ratios, Smoking
To cite this article
Awoke Seyoum Tegegne, Assessing Public Awareness about the Health Effects of Nicotine and Cigarettes Using Negative Binomial Regression, Science Journal of Applied Mathematics and Statistics. Vol. 2, No. 3, 2014, pp. 60-65. doi: 10.11648/j.sjams.20140203.11
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