{"title":"[Correlation-regression analysis of infant mortality].","authors":"G V Tarasova","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Correlations between neonatal mortality coefficient and a group of socioeconomic and ecological parameters are analyzed for some economic regions and districts of Russia. At the level of regions, the strongest correlations were observed between birth rates, maternal mortality, subsistence minimum, level of education, incidence of narcomania and toxicomania (including that among adolescents), release of hard harmful substances in the atmosphere and of chlorine and sulfates in surface water bodies (r = 0.4-0.8). Multifactorial model was derived by the step regression method. This model can be used for predicting the level of neonatal mortality in the nearest 5.6 years on the basis of the negative or positive shifts in the socioeconomic status of Russia. In addition, several unifactorial exponential models at a district level were obtained, reflecting the relationship between neonatal mortality and birth rates, unemployment and incidence of narcomania and toxicomania.</p>","PeriodicalId":79528,"journal":{"name":"Problemy sotsial'noi gigieny i istoriia meditsiny","volume":" 3","pages":"24-7"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Problemy sotsial'noi gigieny i istoriia meditsiny","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Correlations between neonatal mortality coefficient and a group of socioeconomic and ecological parameters are analyzed for some economic regions and districts of Russia. At the level of regions, the strongest correlations were observed between birth rates, maternal mortality, subsistence minimum, level of education, incidence of narcomania and toxicomania (including that among adolescents), release of hard harmful substances in the atmosphere and of chlorine and sulfates in surface water bodies (r = 0.4-0.8). Multifactorial model was derived by the step regression method. This model can be used for predicting the level of neonatal mortality in the nearest 5.6 years on the basis of the negative or positive shifts in the socioeconomic status of Russia. In addition, several unifactorial exponential models at a district level were obtained, reflecting the relationship between neonatal mortality and birth rates, unemployment and incidence of narcomania and toxicomania.