1994 - 2016年格鲁吉亚人均收入、未参保率和心血管死亡率之间的关系

M. Bethel, Mark A. Thompson, A. Berman
{"title":"1994 - 2016年格鲁吉亚人均收入、未参保率和心血管死亡率之间的关系","authors":"M. Bethel, Mark A. Thompson, A. Berman","doi":"10.20429/jgpha.2019.070210","DOIUrl":null,"url":null,"abstract":"Background : The association between cardiovascular mortality, per capita income and uninsured rates in Georgia have not been well described. Methods : Cardiovascular mortality rates, per capita income and uninsured rates were obtained for the years 1994-2016, and their relationships were analyzed using univariate and multivariate statistical techniques. Results : In bivariate analysis, a strong inverse relationship between cardiovascular mortality and per capita income (r = -0.917, p < 0.0001) was detected, while bivariate analysis detected no relationship between cardiovascular mortality and uninsured rates. Both per capita income and uninsured rates were negative predictors of cardiovascular mortality in multivariate analysis. Conclusions : Per capita income increases in Georgia were strongly correlated with reductions in cardiovascular mortality. While there was not a linear correlation of healthcare coverage status and cardiovascular mortality, it demonstrated a protective effect in multivariate analysis.","PeriodicalId":73981,"journal":{"name":"Journal of the Georgia Public Health Association","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Relationship Between Per Capita Income, Uninsured Rates, and Cardiovascular Mortality in Georgia Between 1994 – 2016\",\"authors\":\"M. Bethel, Mark A. Thompson, A. Berman\",\"doi\":\"10.20429/jgpha.2019.070210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background : The association between cardiovascular mortality, per capita income and uninsured rates in Georgia have not been well described. Methods : Cardiovascular mortality rates, per capita income and uninsured rates were obtained for the years 1994-2016, and their relationships were analyzed using univariate and multivariate statistical techniques. Results : In bivariate analysis, a strong inverse relationship between cardiovascular mortality and per capita income (r = -0.917, p < 0.0001) was detected, while bivariate analysis detected no relationship between cardiovascular mortality and uninsured rates. Both per capita income and uninsured rates were negative predictors of cardiovascular mortality in multivariate analysis. Conclusions : Per capita income increases in Georgia were strongly correlated with reductions in cardiovascular mortality. While there was not a linear correlation of healthcare coverage status and cardiovascular mortality, it demonstrated a protective effect in multivariate analysis.\",\"PeriodicalId\":73981,\"journal\":{\"name\":\"Journal of the Georgia Public Health Association\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Georgia Public Health Association\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20429/jgpha.2019.070210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Georgia Public Health Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20429/jgpha.2019.070210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:格鲁吉亚的心血管死亡率、人均收入和未参保率之间的关系尚未得到很好的描述。方法:获得1994-2016年的心血管死亡率、人均收入和未参保率,并使用单变量和多变量统计技术分析它们之间的关系。结果:在双变量分析中,心血管死亡率与人均收入之间存在强烈的负相关关系(r=-0.917,p<0.01),而双变量分析未发现心血管死亡率与未参保率之间存在任何关系。在多变量分析中,人均收入和未参保率都是心血管死亡率的负预测因素。结论:格鲁吉亚人均收入的增加与心血管死亡率的降低密切相关。虽然医疗保险覆盖率与心血管死亡率之间没有线性相关性,但在多变量分析中证明了其保护作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
The Relationship Between Per Capita Income, Uninsured Rates, and Cardiovascular Mortality in Georgia Between 1994 – 2016
Background : The association between cardiovascular mortality, per capita income and uninsured rates in Georgia have not been well described. Methods : Cardiovascular mortality rates, per capita income and uninsured rates were obtained for the years 1994-2016, and their relationships were analyzed using univariate and multivariate statistical techniques. Results : In bivariate analysis, a strong inverse relationship between cardiovascular mortality and per capita income (r = -0.917, p < 0.0001) was detected, while bivariate analysis detected no relationship between cardiovascular mortality and uninsured rates. Both per capita income and uninsured rates were negative predictors of cardiovascular mortality in multivariate analysis. Conclusions : Per capita income increases in Georgia were strongly correlated with reductions in cardiovascular mortality. While there was not a linear correlation of healthcare coverage status and cardiovascular mortality, it demonstrated a protective effect in multivariate analysis.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
Health Communications Trial with a Resistant Population to Increase Public Health Compliance during a Pandemic An analysis of Georgia mothers who gave birth in 2015 and 2016 without receiving prenatal care Role of Community-level Health Behaviors and Social Determinants of Health in Preventable Hospitalizations Elderly Educated Blacks and the influence of exercise identity, self-determination, and social determinants of health on physical activity Perception of Health Care Access in Rural Georgia: Findings From a Community Health Needs Assessment Survey
×
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