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https://www.selleckchem.com/GSK-3.html istory of abortion (AOR = 0.56, 95% CI 0.39-0.80), and living in the pastoralist community (AOR = 0.22, 95% CI 0.14-0.35) reduced the odds of LACs utilization in Ethiopia CONCLUSIONS Significant geographic variation of LACs utilization was observed in Ethiopia. Spots with Low LACs utilization were found in the eastern, north eastern and western part of the country. Socio-demographic and pregnancy related factors were significant determinants of LACs utilization. Designing intervention programs targeting the identified hot spot clusters, and variables that can hinder the utilization of LACs is very important to increase the utilization. Since the Global Burden of Disease study (GBD) has become more comprehensive, data for hundreds of causes of disease burden, measured using Disability Adjusted Life Years (DALYs), have become increasingly available for almost every part of the world. However, undergoing any systematic comparative analysis of the trends can be challenging given the quantity of data that must be presented. We use the GBD data to describe trends in cause-specific DALY rates for eight regions. We quantify the extent to which the importance of 'major' DALY causes changes relative to 'minor' DALY causes over time by decomposing changes in the Gini coefficient into 'proportionality' and 'reranking' indices. The fall in regional DALY rates since 1990 has been accompanied by generally positive proportionality indices and reranking indices of negligible magnitude. However, the rate at which DALY rates have been falling has slowed and, at the same time, proportionality indices have tended towards zero. These findings are clearest where the focus is exclusively upon non-communicable diseases. Notably, large and positive proportionality indices are recorded for sub-Saharan Africa over the last decade. The positive proportionality indices show that disease burden has become less concentrated around the leading causes over time

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