Agrawal Mamta, Jain Shikha, Maitin Nitin, Gupta Tulika, Maitin Shipra
Reader, Department of OMFS, Purvanchal Institute of Dental Sciences, GIDA, Gorakhpur 273001, Uttar Pradesh, India.
Reader, Department of Orthodontics, People's College of Dental Sciences and Research Centre, Bhopal 462010, India.
J Oral Biol Craniofac Res. 2015 Jan-Apr;5(1):16-20. doi: 10.1016/j.jobcr.2013.05.005. Epub 2013 Jun 24.
The present study was undertaken to determine the prevalence and demographic correlates of tobacco use in the adult population.
The sample selection was based on stratified random sampling technique selecting a total of 1635 persons from different parts of Gorakhpur district of Uttar Pradesh, India. The demographic details of participants along with prevalence of tobacco use were recorded.
The prevalence of tobacco use among the subpopulation studied was 31.1% for males and 6.1 for females. Both smoking and chewing tobacco were found to be associated with various demographic parameters. The rural population showed a higher prevalence of tobacco use among both males and females; the male smoking prevalence was higher in the urban population (23.0%) than its rural counterpart (18.1%). Also the prevalence of tobacco use was directly proportionate to age increasing upto the age of approximately 60 years, then declined. Stepwise Regression analysis showed gender as the strongest predictor for smoking followed by area of residence, education and age. Whereas education was the most significant predictors for chewing tobacco, followed by gender and age.
The results of this study clearly indicate an association between tobacco prevalence and various demographic factors. To reduce the cancer burden, intervention measures to control tobacco use should specifically target those socio-demographic predictors of the subpopulation which are more susceptible to tobacco consumption.
本研究旨在确定成年人群中烟草使用的患病率及其人口统计学相关因素。
样本选择基于分层随机抽样技术，从印度北方邦戈勒克布尔区不同地区共选取1635人。记录参与者的人口统计学细节以及烟草使用患病率。
在所研究的亚人群中，男性烟草使用率为31.1%，女性为6.1%。吸烟和嚼烟均与各种人口统计学参数相关。农村人口中男性和女性的烟草使用率均较高；城市男性吸烟率（23.0%）高于农村男性（18.1%）。此外，烟草使用率与年龄成正比，直至约60岁，之后下降。逐步回归分析表明，性别是吸烟的最强预测因素，其次是居住地区、教育程度和年龄。而教育程度是嚼烟的最重要预测因素，其次是性别和年龄。
本研究结果清楚地表明烟草患病率与各种人口统计学因素之间存在关联。为减轻癌症负担，控制烟草使用的干预措施应特别针对更易吸烟的亚人群的那些社会人口学预测因素。
