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印度男女性烟草使用的地区流行病学、热点和社会人口学决定因素:国家家庭健康调查-4(2015-16)分析。

District-level epidemiology, hot spots and sociodemographic determinants of tobacco use in Indian men and women: analysis of national family health survey-4 (2015-16).

机构信息

Department of Geography, Central University of Tamil Nadu, Tiruvarur, 610005, India.

Department of Epidemiology and Public Health, Central University of Tamil Nadu, Tiruvarur, 610005, India.

出版信息

Public Health. 2021 May;194:127-134. doi: 10.1016/j.puhe.2021.03.001. Epub 2021 Apr 20.

DOI:10.1016/j.puhe.2021.03.001
PMID:33887600
Abstract

OBJECTIVES

To map district-level tobacco hot spots and understand the Sociodemographic Indices (SDI) influencing tobacco consumption in Indian men and women.

STUDY DESIGN

Cross-sectional study.

METHODS

Tobacco use data from 640 districts of India were extracted from National Family Health Survey-4, carried out from 2015 to 2016 with a sample size of 103,411 men and 699,686 women. Geographic Information System was used to map the tobacco prevalence, and hot spots were identified by spatial statistics (Getis-OrdGi∗). SDI were studied by bivariate analyses and binary logistic regression.

RESULTS

India has two major tobacco hot spots; one comprising the districts of North-Eastern states, excluding Sikkim, and the second cluster is formed by the districts of Central-Eastern states. These hot spots coincide well with demographic determinants: North-East (adjusted odds ratio [aOR] men, 5.74; aOR women, 13.54) and Central India (aOR men, 4.5; aOR women, 3.5) have higher odds of Tobacco consumption. In men, respondents with no education (aOR 2.52; 95% confidence interval [CI]: 2.26-2.81) and Muslims (aOR 3.53; 95% CI: 2.93-4.26) have higher odds of tobacco consumption. The poorest (men aOR, 2.06; 95% CI: 1.87-2.27; women aOR, 3.36: 95% CI: 2.69-4.19) and ST women (aOR 1.89; 95% CI: 1.68-2.13) have higher odds of tobacco consumption.

CONCLUSIONS

We have identified tobacco hot spots and detailed the SDI affecting tobacco use separately in men and women to guide public health policies for targeted intervention of tobacco consumption.

摘要

目的

绘制地区烟草热点图,并了解影响印度男性和女性烟草消费的社会人口学指数(SDI)。

研究设计

横断面研究。

方法

从 2015 年至 2016 年进行的全国家庭健康调查-4 中提取了印度 640 个地区的烟草使用数据,该调查的样本量为 103411 名男性和 699686 名女性。使用地理信息系统绘制烟草流行图,并通过空间统计(Getis-OrdGi∗)确定热点。通过双变量分析和二元逻辑回归研究 SDI。

结果

印度有两个主要的烟草热点;一个是东北部各州(不包括锡金邦)的地区,另一个是中东部各州的地区。这些热点与人口统计学决定因素吻合较好:东北部(男性调整后的优势比[aOR],5.74;女性 aOR,13.54)和中央印度(男性 aOR,4.5;女性 aOR,3.5)有更高的烟草消费几率。在男性中,没有受过教育的受访者(aOR 2.52;95%置信区间[CI]:2.26-2.81)和穆斯林(aOR 3.53;95% CI:2.93-4.26)有更高的烟草消费几率。最贫穷的人(男性 aOR,2.06;95% CI:1.87-2.27;女性 aOR,3.36:95% CI:2.69-4.19)和 ST 女性(aOR 1.89;95% CI:1.68-2.13)有更高的烟草消费几率。

结论

我们已经确定了烟草热点,并详细说明了分别影响男性和女性烟草使用的 SDI,以指导有针对性地干预烟草消费的公共卫生政策。

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