Quantifying the Spatial Inequality and Temporal Trends in Maternal Smoking Rates in Glasgow.

Quantifying the Spatial Inequality and Temporal Trends in Maternal Smoking Rates in Glasgow.
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DOI:
10.1214/16-aoas941
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发表时间:
2016-09-28
期刊:
The annals of applied statistics
影响因子:
--
通讯作者:
Lawson A
Lawson A
中科院分区:
其他
文献类型:
--
作者:
Lee D;Lawson A

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众所周知,母亲吸烟会对出生结果产生不利影响,苏格兰格拉斯哥市的母亲吸烟率存在相当大的空间差异。这种空间差异是贫富社区之间健康不平等的部分驱动因素,确定这些不平等随时间变化的程度是有意义的。因此,在本文中,我们开发了一个贝叶斯分层模型,用于估计2000年至2013年期间格拉斯哥吸烟发病率的时空模式,该模型可以确定表现出孕产妇吸烟发病率升高的区域群的地理范围的变化,这些区域群部分地推动了健康不平等。此外,我们通过R包CARBayesST提供免费软件,以允许其他人实现我们开发的模型。研究期间包括2006年在公共场所实施禁烟令,结果显示,在研究期间,母亲吸烟率平均下降约11%。
Maternal smoking is well known to adversely affect birth outcomes, and there is considerable spatial variation in the rates of maternal smoking in the city of Glasgow, Scotland. This spatial variation is a partial driver of health inequalities between rich and poor communities, and it is of interest to determine the extent to which these inequalities have changed over time. Therefore in this paper we develop a Bayesian hierarchical model for estimating the spatio-temporal pattern in smoking incidence across Glasgow between 2000 and 2013, which can identify the changing geographical extent of clusters of areas exhibiting elevated maternal smoking incidences that partially drive health inequalities. Additionally, we provide freely available software via the R package CARBayesST to allow others to implement the model we have developed. The study period includes the introduction of a ban on smoking in public places in 2006, and the results show an average decline of around 11% in maternal smoking rates over the study period.