Relevance of socio-economic data for the establishment of solution models based on international statistical material.

Abstract

Using the official data of WHO statistics, the impact of some social, biological and medical factors on infant mortality rates (IMR) was compared for countries with very high, high, moderate and low IMR: Factors reflecting a low quality of life (illiteracy, low level of women's education, low urbanization, malnutrition etc.) showed a highly significant statistic correlation with increased IMR. The lack of a nationwide family planning program and a low level of medical care (prenatal care, presence of medical personnel during delivery, availability of contraceptives etc.) act in the same direction. In developing countries the GNP per capita did not markedly influence the IMR nor the rate of infants of low birth weight (UGR). One of the main reasons of this phenomenon is probably the wide gap of the income between different social groups in these countries. In contrast to this the GNP in economically developed countries (Europe, Australia, North America) correlates very closely with IMR and UGR. The impact of family planning differs between countries with legally artificial abortion and those with a more restrictive legislation. The nutritional status (i. e. in these countries hyperalimentation) shows a positive correlation with UGR but no impact on IMR. Some countries (in Europe Greece, Spain, Ireland/Yugoslavia, Romania) show a significant deviation (positive/negative) from the mean calculated according to the WHO data. These deviations can be (and should be) analysed for detecting and evaluating factors which could be influenced by strategies of social or/and medical interventions in order of further improvement of IMR.