Statistical Methods For The Analysis Of Trends In Coronary Heart Disease
Funder
National Health and Medical Research Council
Funding Amount
$112,747.00
Summary
Coronary heart disease is a leading cause of mortality, morbidity and medical costs in Australia. During the 1950's and 1960's, rates of coronary disease increased rapidly, then in the late 1960's they started to decline. This decrease has continued steadily for 30 years. While some other westernised countries have had this same experience, in Eastern Europe and in many developing countries coronary disease is increasing. There is a huge amount of evidence from experimental studies in animal and ....Coronary heart disease is a leading cause of mortality, morbidity and medical costs in Australia. During the 1950's and 1960's, rates of coronary disease increased rapidly, then in the late 1960's they started to decline. This decrease has continued steadily for 30 years. While some other westernised countries have had this same experience, in Eastern Europe and in many developing countries coronary disease is increasing. There is a huge amount of evidence from experimental studies in animal and human subjects and population studies in many countries that the major determinants of coronary disease are high blood pressure, cigarette smoking and high cholesterol (and other lipids) as well as dietary factors, obesity and physical inactivity. Recently several large multicentre studies have found unexpectedly weaker associations between heart risk factors and disease rates. It is hypothesised that this is due to inappropriate analyses in which data from populations at different stages of the coronary epidemic have been combined. The aim of this study is to develop improved statistical methodology to help understand recent findings from large scale studies, such as the World Health Organization's MONICA Project, the US ARIC study and the Seven Countries study. It will provide new theoretical results and statistical software for their implementation. From a public health perspective the most important outcome will be clarification of recent apparently anomalous findings about the importance of established risk factors and effective treatments in reducing coronary disease at the population level.Read moreRead less
Genetic Associations Of Early Retinal Pathologic Phenotypes: Data Pooling And Meta-analyses Of Multiple Populations
Funder
National Health and Medical Research Council
Funding Amount
$736,481.00
Summary
We aim to use data already collected from multiple population-based studies to investigate the likely pathogeneses of early retinal phenotypes that are either markers for cardiovascular risk or precursors of a blinding condition. Understanding if there are genetic susceptibilities for these phenotypes, and if so, how they together with environmental exposures jointly influence the occurrence of the diseases may be key to reduce the burden from cardiovascular disease and blindness.
From Maps To Efficient Multi-parasite Control In The Philippines
Funder
National Health and Medical Research Council
Funding Amount
$358,121.00
Summary
Schistosomiasis and soil-transmitted helminths are major parasitic infections in Asia, causing anaemia, poor growth and poor school performance and death in some chronic schistosomiasis cases. We will use maps to demonstrate the geographic distribution of these parasites in the Philippines. We will estimate the impact and costs and benefits of parasite control programmes. This research will help plan more efficient parasite control and reduce the impact of these infections in the Philippines.
A Population-based Family Study Of Filaggrin Mutations And Allergic Disease Risk In Australia
Funder
National Health and Medical Research Council
Funding Amount
$308,584.00
Summary
It is biologically plausible that the association of known environmental risk factors for asthma may be different for genetically susceptible individuals. Few studies have examined the interaction between genetic and environmental factors. that have not considered genetic susceptibility are estimating an average risk of asthma across all genotypes in the population which may not be relevant for a particular sub-group.