根据区域一级的总死亡率和生活方式因素确定危险区

Викторовна Бобкова, Н. В. Ефимова
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摘要

介绍。人口死亡率取决于人为的、社会的和自然的行为因素。根据人口损失的价值对俄罗斯联邦大型组成实体内的领土进行分类,可以确定最重要的可控因素。这项工作的目的是根据伊尔库茨克地区各市人口的总死亡率水平以及该指数与生活方式因素的关系确定危险区域。材料和方法。利用线性回归分析对2011年至2021年期间包括伊尔库茨克地区各市在内的42个对象的动态数据进行了分析。采用聚类分析识别风险区域:分层ward法和k-means法。使用Spearman秩相关分析来评价所研究属性之间的关系。2011 ~ 2019年死亡率下降,2020 ~ 2021年死亡率上升,平均为13.34 CI(13.22 ~ 14.81)‰。鉴定出死亡率不同的5个聚类:最低为V - 11.7 CI(10.72 - 12.68)‰;IV - 18.5CI(17.91 - 19.09)‰。在这些集群中,吸毒、吸烟和酗酒的流行程度在统计上有显著差异。根据这一分类,确定了危险地区(工作年龄以上人口比例最高,家庭中毒发生率高)和"边缘地区"(死亡率增加的群集)。为了确定风险领域和优先因素,仍然需要改进信息库,增加不同统计方法的使用,以确定区域一级影响总死亡率的关键因素。死亡率不仅与人口老龄化有关,而且还与家庭习惯性中毒的流行和成年人口体力活动不足有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of risk zones according to the rate of total mortality and lifestyle factors at the regional level
Introduction. Population mortality depends on a complex of man-made, social, and natural behavioral factors. Clustering of territories within large constituent entities of the Russian Federation according to the value of population losses makes it possible to determine the most significant of the controllable factors.The aim of the work was to identify the risk zones according to the level of total mortality rates of the population of municipalities of the Irkutsk region and the relationship of the index with lifestyle factors.Materials and methods. The data on 42 objects, including municipalities and cities of the Irkutsk region, in the dynamics from 2011 to 2021 were analyzed using linear regression analysis. Cluster analysis was used to identify the risk territories: the hierarchical Wards method and k-means method. The relationships between the studied attributes were evaluated using Spearman rank correlation analysis.Results. The mortality rate decreased in 2011−2019 and increased in 2020−2021, averaging 13.34 CI(13.22−14.81) ‰. Five clusters differing in mortality rate were identified: minimum in V − 11.7 CI(10.72−12.68)‰; maximum in IV − 18.5CI(17.91−19.09)‰. In these clusters the prevalence of drug addiction, tobacco smoking and alcoholism are statistically significantly different. Based on this classification, risk areas (with the highest proportion of the population above working age and a high prevalence of household intoxication) and “borderline areas” (clusters with an increased mortality rate) have been identified. Discussion In order to identify risk areas and priority factors, there remains a need to improve the information base, increasing the use of different statistical methods to identify the key factors influencing overall mortality at the regional level.Conclusion. The mortality rate is associated not only with an ageing population, but also with the prevalence of habitual domestic intoxications and low physical activity of the adult population.
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