Abstract
There are two aims in this study. The first is to estimate Healthy life expectancy in Sudan (HLE) using cross-sectional data (2008-2010). The second is to identify the most important risk factors affecting health status of population in the country.
Healthy life expectancies are calculated using models that incorporate measures of mortality and morbidity. Age-specific death rates account for the mortality component. Age-specific rates of population morbidity, disability, or some other aspect of health account for the morbidity component. These two components are combined using a mathematical function that transforms the two sets of partial measures into a single composite measure using a life table methodology.
National mortality data were obtained from two sources, the National Health Statistics (NHS, 2009) of Federal Ministry of Health (FMOH) and fifth population census (CBS, 2008). Health data come from National Health Statistics (2009) of FMOH and the Sudan Household Health Survey (SHHS, 2010).
The life table techniques as well as the binary logistic regression models were used to estimate the (HLE) and to identify the risk factors of health status.
It is expected that a significant difference will be between life expectancy and healthy life expectancy due to the poor health status of population in Sudan.
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Event ID
17
Paper presenter
52 296
Type of Submissions
Regular session presentation, if not selected I agree to present my paper as a poster
Language of Presentation
English
Weight in Programme
1 000
Status in Programme
1
Submitted by Mohamed.Eldigire on