Regional socioeconomic indicators and ethnicity as predictors of regional infant mortality rate in Slovakia
| Autor: | Jitse P. van Dijk, Johan W. Groothoff, Andrea Madarasova Geckova, Martin Rosic, Katarina Rosicova, Jana Kollarova |
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| Přispěvatelé: | Science in Healthy Ageing & healthcaRE (SHARE), Public Health Research (PHR) |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Male
COUNTRIES Slovakia medicine.medical_specialty Health (social science) Population Roma population Ethnic group UNITED-STATES Health literacy Population health PERINATAL-MORTALITY DETERMINANTS Infant mortality Social class Health(social science) HUNGARY DISPARITIES Ethnicity medicine Humans Regional differences education Socioeconomic status education.field_of_study ROMA business.industry Public health POPULATION HEALTH Infant Newborn Public Health Environmental and Occupational Health Infant Social Class Unemployment Socioeconomic indicators DISCRIMINATION Income Educational Status Original Article Female business INEQUALITY Demography |
| Zdroj: | International Journal of Public Health, 56(5), 523-531. SPRINGER BASEL AG International Journal of Public Health |
| ISSN: | 1661-8556 |
| Popis: | Objective Exploring the associations of regional differences in infant mortality with selected socioeconomic indicators and ethnicity could offer important clues for designing public health policy measures.Methods Data included perinatal and infant mortality in the 79 districts of the Slovak population in 2004. Linear regression was used to analyse the contribution of education, unemployment, income and proportion of Roma population on regional differences in perinatal and infant mortality rates.Results All the explored socioeconomic indicators and ethnicity individually contributed significantly to both perinatal and infant mortality, with the exception of income. In the model exploring the influence of all these variables together on perinatal and infant mortality, only the effect of the proportion of Roma population remained significant. This model explained 34.9% of the variance for perinatal and 36.4% of the variance for infant mortality.Conclusions Living in Roma settlements indicates an accumulation of socioeconomic disadvantage. Health literacy, health-related behaviour and many other factors might contribute to the explanation of the differences in infant mortality, and a better understanding of these processes might help us to design tailored interventions. |
| Databáze: | OpenAIRE |
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