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1996年至2013年斯洛伐克共和国脑血管疾病标准化死亡率与收入不平等情况及其国际比较

Standardised mortality rate for cerebrovascular diseases in the Slovak Republic from 1996 to 2013 in the context of income inequalities and its international comparison.

作者信息

Gavurová Beáta, Kováč Viliam, Vagašová Tatiana

机构信息

, Němcovej 32, Košice, Slovakia.

出版信息

Health Econ Rev. 2017 Dec;7(1):7. doi: 10.1186/s13561-016-0140-4. Epub 2017 Feb 2.

DOI:10.1186/s13561-016-0140-4
PMID:28150127
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5289125/
Abstract

Non-communicable diseases represent one of the greatest challenges for health policymakers. The main objective of this study is to analyse the development of standardised mortality rates for cerebrovascular disease, which is one of the most common causes of deaths, in relation to income inequality in individual regions of the Slovak Republic. Direct standardisation was applied using data from the Slovak mortality database, covering the time period from 1996 to 2013. The standardised mortality rate declined by 4.23% in the Slovak Republic. However, since 1996, the rate has been higher by almost 33% in men than in women. Standardised mortality rates were lower in the northern part of the Slovak Republic than in the southern part. The regression models demonstrated an impact of the observed income-related dimensions on these rates. The income quintile ratio and Gini coefficient appeared to be the most influencing variables. The results of the analysis highlight valuable baseline information for creating new support programmes aimed at eliminating health inequalities in relation to health and social policy.

摘要

非传染性疾病是卫生政策制定者面临的最大挑战之一。本研究的主要目的是分析斯洛伐克共和国各地区与收入不平等相关的脑血管疾病标准化死亡率的发展情况,脑血管疾病是最常见的死亡原因之一。使用斯洛伐克死亡率数据库的数据进行直接标准化,数据涵盖1996年至2013年期间。斯洛伐克共和国的标准化死亡率下降了4.23%。然而,自1996年以来,男性的死亡率比女性高近33%。斯洛伐克共和国北部的标准化死亡率低于南部。回归模型表明,观察到的与收入相关的维度对这些死亡率有影响。收入五分位数比率和基尼系数似乎是最具影响力的变量。分析结果突出了有价值的基线信息,有助于制定新的支持计划,以消除与卫生和社会政策相关的健康不平等现象。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/5922fc900ecd/13561_2016_140_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/86567209855a/13561_2016_140_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/26769cb4c9e1/13561_2016_140_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/ac05fccda14c/13561_2016_140_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/b19af5e8db23/13561_2016_140_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/5922fc900ecd/13561_2016_140_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/86567209855a/13561_2016_140_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/26769cb4c9e1/13561_2016_140_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/ac05fccda14c/13561_2016_140_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/b19af5e8db23/13561_2016_140_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f691/5289125/5922fc900ecd/13561_2016_140_Fig5_HTML.jpg

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