Kosice Self-Governing Region, Department of Regional Development and Land-Use Planning, Kosice, Slovakia.
Int J Public Health. 2011 Oct;56(5):523-31. doi: 10.1007/s00038-010-0199-3. Epub 2010 Oct 26.
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.
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.
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.
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.
探讨婴儿死亡率的地区差异与选定的社会经济指标和种族之间的关联，可为制定公共卫生政策措施提供重要线索。
数据包括 2004 年斯洛伐克人口 79 个区的围产期和婴儿死亡率。线性回归用于分析教育、失业、收入和罗姆人人口比例对围产期和婴儿死亡率地区差异的贡献。
除收入外，所有探索的社会经济指标和种族个体对围产期和婴儿死亡率都有显著影响。在探索所有这些变量共同对围产期和婴儿死亡率影响的模型中，只有罗姆人人口比例的影响仍然显著。该模型解释了围产期死亡率 34.9%的方差和婴儿死亡率 36.4%的方差。
居住在罗姆人定居点表明社会经济劣势的积累。健康素养、与健康相关的行为和许多其他因素可能有助于解释婴儿死亡率的差异，更好地理解这些过程可能有助于我们设计有针对性的干预措施。
