title: [Analysis of associations between mortality and biological and social-economic individual determinants].
abstract: Health impact assessment is an internationally recognized tool for informed decision-making. The authors participated in building statistical models for assessing the health effects of decisions made inside and outside the health sector. They used logistic regression to investigate the role of individual factors like gender, age, education and economic activity determining the all-cause mortality and diseases of circulatory system and neoplasm as well. The results of statistical modelling proved that gender, education and economic activity modify the effect of age on mortality in multiple interactions. Since several factors have impact simultaneously on mortality, modifying the others' effects, analyzing these associations only by use of multivariate statistical methods is an adequate approach. Models presented in this article can be starting points for investigations exploring the effects of multiple health-determinants and researches in which also social-economic determinants are included in health impact assessment.
authors.affiliation: Országos Szakfelügyeleti Módszertani Központ Budapest Gyáli út 2-6. 1097. bakacsm@fibermail.hu
authors.forename: Márta
authors.initials: M
authors.lastname: Bakacs
authors.forename: József
authors.initials: J
authors.lastname: Vitrai
authors.forename: Zoltán
authors.initials: Z
authors.lastname: Várhalmi
authors.forename: Csilla
authors.initials: C
authors.lastname: Kaposvári
authors.forename: Dóra
authors.initials: D
authors.lastname: Hermann
authors.forename: Sándor
authors.initials: S
authors.lastname: Kabos
authors.forename: András
authors.initials: A
authors.lastname: Löv
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D004522:Educational Status; D005260:Female; D006801:Humans; D006814:Hungary / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009026:Mortality / Q000639:trends; D015999:Multivariate Analysis; D018570:Risk Assessment; D012307:Risk Factors; D017678:Sex Distribution; D012923:Social Class; D012959:Socioeconomic Factors; D055815:Young Adult