Alcohol consumption as health risk factor for the population in the RF regions in the ‘before crisis’ and ‘after crisis’ periods (2017–2022)

Q3 Medicine Health Risk Analysis Pub Date : 2023-06-01 DOI:10.21668/health.risk/2023.2.02
N. Lebedeva-Nesevria, S. S. Gordeeva
{"title":"Alcohol consumption as health risk factor for the population in the RF regions in the ‘before crisis’ and ‘after crisis’ periods (2017–2022)","authors":"N. Lebedeva-Nesevria, S. S. Gordeeva","doi":"10.21668/health.risk/2023.2.02","DOIUrl":null,"url":null,"abstract":"In this study, we have estimated alcohol consumption and alcohol-associated incidence in the RF regions in the ‘before crisis’ (2017–2019) and ‘crisis’ (2020–2022) periods. We identified types of the RF regions using hierarchical cluster analysis (Ward’s method) and relying on indirect indicators of alcohol consumption. As a result, we established considerable differences between the macro-regions (the Federal Districts) and RF regions as per alcohol consumption and severity of its outcomes. Poles in this differentiation are represented by ‘favorable’ regions in the Southern Russia where alcohol sales, alcohol-associated crime and incidence are low and ‘unfavorable’ regions located in the Far East and southern Siberia where alcohol-associated crime and incidence are high. We have shown in this study that retail alcohol sales cannot be considered a sufficient indicator to describe alcohol use in a given region. Thus, considerable volumes of alcohol sales involve severe socially significant outcomes in some regions (for example, the Khabarovsk region and Primorye) whereas such outcomes do not occur in other regions with similarly high alcohol sales (Moscow, Saint Petersburg, the Moscow region and the Leningrad region). The level of socioeconomic welfare on a given territory is confirmed as a significant determinant of alcohol consumption. We have also analyzed a correlation between economic vulnerability of RF regions during the ‘pandemic’ and ‘sanction’ crises and levels of alcohol consumption. The analysis revealed that large industrial regions, though expected to be vulnerable, turned out to be quite stable (it is probable due to delayed macroeconomic effects). We have not been able to identify any resources of improving a tense situation with alcohol consumption in economically unfavorable but less vulnerable subsidized agricultural regions. In general, the crisis period of 2020–2022 can be considered a source of additional health risks for the population in the RF regions where the situation with alcohol consumption was rather unfavorable in the ‘before crisis’ period.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Risk Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21668/health.risk/2023.2.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, we have estimated alcohol consumption and alcohol-associated incidence in the RF regions in the ‘before crisis’ (2017–2019) and ‘crisis’ (2020–2022) periods. We identified types of the RF regions using hierarchical cluster analysis (Ward’s method) and relying on indirect indicators of alcohol consumption. As a result, we established considerable differences between the macro-regions (the Federal Districts) and RF regions as per alcohol consumption and severity of its outcomes. Poles in this differentiation are represented by ‘favorable’ regions in the Southern Russia where alcohol sales, alcohol-associated crime and incidence are low and ‘unfavorable’ regions located in the Far East and southern Siberia where alcohol-associated crime and incidence are high. We have shown in this study that retail alcohol sales cannot be considered a sufficient indicator to describe alcohol use in a given region. Thus, considerable volumes of alcohol sales involve severe socially significant outcomes in some regions (for example, the Khabarovsk region and Primorye) whereas such outcomes do not occur in other regions with similarly high alcohol sales (Moscow, Saint Petersburg, the Moscow region and the Leningrad region). The level of socioeconomic welfare on a given territory is confirmed as a significant determinant of alcohol consumption. We have also analyzed a correlation between economic vulnerability of RF regions during the ‘pandemic’ and ‘sanction’ crises and levels of alcohol consumption. The analysis revealed that large industrial regions, though expected to be vulnerable, turned out to be quite stable (it is probable due to delayed macroeconomic effects). We have not been able to identify any resources of improving a tense situation with alcohol consumption in economically unfavorable but less vulnerable subsidized agricultural regions. In general, the crisis period of 2020–2022 can be considered a source of additional health risks for the population in the RF regions where the situation with alcohol consumption was rather unfavorable in the ‘before crisis’ period.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在“危机前”和“危机后”时期(2017-2022),饮酒是RF地区人群的健康风险因素
在这项研究中,我们估计了RF地区在“危机前”(2017-2019年)和“危机”(2020-2022年)期间的酒精消费量和酒精相关发病率。我们使用分层聚类分析(Ward的方法)并依靠酒精消费的间接指标来确定RF区域的类型。因此,我们确定了宏观区域(联邦区)和RF区域在酒精消费及其后果严重程度方面存在相当大的差异。这种差异中的两极是俄罗斯南部的“有利”地区,那里的酒精销售、与酒精有关的犯罪和发病率低,而位于远东和西伯利亚南部的“不利”地区,那里与酒精有关的犯罪和发病率高。我们已经在这项研究中表明,零售酒精销售不能被认为是一个充分的指标来描述酒精使用在一个给定的地区。因此,在一些地区(例如哈巴罗夫斯克地区和滨海地区),大量的酒类销售会产生严重的社会影响,而在其他酒类销售同样高的地区(莫斯科、圣彼得堡、莫斯科地区和列宁格勒地区)则不会产生这种影响。一个特定地区的社会经济福利水平被证实是酒精消费的一个重要决定因素。我们还分析了RF地区在“大流行”和“制裁”危机期间的经济脆弱性与酒精消费水平之间的相关性。分析结果显示,大型工业地区虽然被认为是脆弱的,但结果却相当稳定(这可能是由于延迟的宏观经济效应)。在经济不利但不太容易受到补贴的农业地区,我们未能找到任何资源来改善酒精消费的紧张局势。总的来说,2020-2022年的危机时期可被认为是RF地区人口健康风险的一个额外来源,因为这些地区在“危机前”时期的酒精消费情况相当不利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Health Risk Analysis
Health Risk Analysis Medicine-Health Policy
CiteScore
1.30
自引率
0.00%
发文量
38
审稿时长
20 weeks
期刊最新文献
Analysis of reference doses of chemicals introduced with drinking water Extract of european spruce strobiles as a promising tool to minimize the risks of inflammation On possible practical applications of the gut microbiome research in the prevention, diagnosis, assessment of, and treatment modification for multiple sclerosis in patients from risk groups Risk of perinatal mortality among the offspring of workers employed at production with radiation hazards Some proposals on regulation of highly hazardous chemicals in articles
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1