影响孟加拉国无烟烟草使用行为的社会经济和人口因素:横断面多水平分析

M. Begum, P. Sultana
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引用次数: 2

摘要

背景:无烟烟草也很容易上瘾,除了许多口腔疾病外,还会导致头颈癌、食道癌和胰腺癌。孟加拉国是世界上无烟烟草消费最普遍的国家之一。本文旨在利用多层次分析,研究影响孟加拉国15岁及以上成年人无烟烟草消费的社会经济和人口因素。材料和方法:采用多阶段分层整群抽样方法,对来自孟加拉国全球成人烟草调查(2010年)的具有全国代表性的横截面样本进行了分析,该样本涵盖9629名15岁及以上的个人。每天使用无烟烟草被认为是结果变量。多水平逻辑回归分析已用于嵌套在集群中的个体。计算了关联度量(比值比)和方差度量(类内相关性(ICC)),并通过计算ROC曲线下面积(AUC)计算了判别精度。并通过对单层模型和多层模型的比较,探讨了多层效应的必要性。结果:根据多水平logistic回归模型,女性使用无烟烟草的比例高于男性(优势比(OR): 1.72, 95% CI: 1.39, 2.07)。按年龄划分的无烟烟草使用情况,老年组(0 ~ 46岁)高于年轻组(≤24岁)(OR: 16.04, 95% CI: 12.60, 20.53)。与受教育程度最高(完成大专或以上)的受访者相比,受教育程度最低(未接受正规教育)的受访者无烟烟草使用率最高(OR=4.93, 95% CI: 3.28, 7.41)。与最富有的财富指数的受访者相比,最贫穷财富指数的受访者更有可能消费无烟烟草(OR 1.67, 95%CI: 1.33, 2.09)。结论:迫切需要遏制女性、受教育程度较低、年龄较大和财富指数最低人群的无烟烟草使用。孟加拉国的烟草控制政策应采取有针对性的、以人口为基础的方法,考虑到社会经济和人口因素,控制和减少烟草消费,使其在该国取得成功。引用本文:Begum M, Sultana P(2018)社会经济和人口因素对孟加拉国无烟烟草使用行为的影响:横断面多层次分析。[J]中国生物医学工程学报,9(2):416。doi: 10.4172 / 2155 - 6180.1000411
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socioeconomic and Demographic Factors Patterning Smokeless Tobacco Use Behavior in Bangladesh: A Cross-Sectional Multilevel Analysis
Background: Smokeless tobacco is also highly addictive and causes cancer of the head and neck, esophagus and pancreas, besides many oral diseases. Bangladesh is one of the most prevalent smokeless tobacco consumption countries in the world. This paper aimed to examine the socioeconomic and demographic factors patterning smokeless tobacco consumption among adults aged 15 years and above in Bangladesh using multilevel analysis. Materials and methods: A cross sectional, nationally representative sample of individuals from the Global Adult Tobacco Survey in Bangladesh (2010), which covered 9629 individuals aged 15 years and above using multi-stage stratified cluster sampling has been analyzed. Smokeless tobacco use daily was considered as outcome variable. Multilevel logistic regression analysis has been used with individuals nested within clusters. Measures of association (odds ratio) and measures of variance (intra-class correlation (ICC)) have been calculated, as well as the discriminatory accuracy by calculating the area under the ROC curve (AUC). Also the comparison between single and multilevel model has been done to investigate the necessity of multilevel effects. Results: According to the multilevel logistic regression model female use smokeless tobacco more than male (odds ratio (OR): 1.72, 95% CI: 1.39, 2.07). The use of smokeless tobacco by age was highest among older group (>46 years) than youngest group (≤24 years) (OR: 16.04, 95% CI: 12.60, 20.53). The smokeless tobacco use was highest among the least educated (no formal education) (OR=4.93, 95% CI: 3.28, 7.41) compared to highest educated (college/university completed or above) respondent. Respondents from the poorest wealth index were significantly more likely to consume smokeless tobacco (OR 1.67, 95%CI: 1.33, 2.09) compared to respondents of richest wealth index. Conclusions: There is an urgent need to curb the use of smokeless tobacco among female, less educated, older and of lowest wealth index. Tobacco control policies in Bangladesh should adopt a targeted, population-based approach to control and reduce tobacco consumption considering of socioeconomic and demographic factors to make it successful in the country. Citation: Begum M, Sultana P (2018) Socioeconomic and Demographic Factors Patterning Smokeless Tobacco Use Behavior in Bangladesh: A Cross-Sectional Multilevel Analysis. J Biom Biostat 9: 411. doi: 10.4172/2155-6180.1000411
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