{"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}
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.