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This indicated the gap of life expectancy between the two counties increased over time.
As aforementioned there was a measureable difference in the age structure and life expectancy between the two cohorts.
We then calculated YLL as the difference in the discounted life expectancies between the two groups, whereas YLD were calculated as the difference in disability weighted life expectancy between the two groups.
Deprivation was found to account for over 90%% of the difference in life expectancy between the two populations, although sensitivity analysis using the 'city specific' deciles (see Additional files 5 and 6 for comparison) suggested less of this difference was accounted for by deprivation (around 70%%).
Since there have been no major changes with regard to treating cervical cancer during the last two decades, it is perhaps not surprising that we found no major changes in the estimates of life expectancy between the two cohorts (19.77 years in Chu's study versus 19.85 years in this work).
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Life expectancy in New Zealand, for instance, is almost identical to the United Kingdom, but patterns of disability-free life expectancy differ between the two countries.
The widening gap in life expectancy between these two adjacent Florida counties reflects perhaps the starkest outcome of the nation's growing economic inequality: Even as the nation's life expectancy has marched steadily upward... a growing body of research shows that those gains are going mostly to those at the upper end of the income ladder.
(Combined agnecy spend about $1M from birth to 18 yrs and we do not move the child even an inch fron the original position of deprivation). I work across two towns, only 17 miles apart and yet the life expectancy gap between the two is 14 years.
No significant difference was observed in the outcome expectancies score between the two groups (H = 0.58, p = 0.45).
We used Arriaga's (1984) discrete decomposition method to estimate how much of the total difference in life expectancy at birth between the two populations was contributed by difference in mortality in a specific age group [ 24, 35].
Again, the gap of life expectancy for male residents between the two counties increased over time.
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