PYLLPotential Years of Life Lost (medical/insurance)
PYLLPremature Years of Life Lost (health statistic)
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We calculated PYLL between zero and 80 years assuming the total absence of deaths (null mortality) between both ages.
This increase corresponds with a reduction in the number of PYLL among both men and women.
Dating back to Petty's Political Arithmetic (1687) and Dublin and Lotka's The Money Value of a Man, (3) the concept of PYLL was first applied in the health sector in the 1940s to rank different causes of death in the US.
With its simplicity of calculation and ease of comprehension, PYLL was advocated at that time as an evaluation tool to support the implementation of national, provincial and regional health promotion and chronic disease prevention policies.
In 1990, alcohol-attributable cancer caused 243,000 deaths worldwide (70,700 deaths among women and 172,300 deaths among men) and 6,405,700 PYLL (1,762,200 PYLL among women and 4,643,500 PYLL among men).
In 2010, alcohol-attributable liver cirrhosis was responsible for 493,300 deaths worldwide (156,900 deaths among women and 336,400 deaths among men) and 14,327,800 PYLL (4,011,100 PYLL among women and 10,316,800 PYLL among men).
To calculate the number of deaths, Potential Years of Life Lost (PYLL), Years of Life lost to Disability (YLD), and Disability Adjusted Years of Life lost (DALYs) attributable to alcohol consumption we: (1) calculated the country-, age-, and sex-specific AAFs, and then (2) applied these AAFs to the corresponding mortality, PYLL, YLD and DALYs data.
Step 2: Application of the AAFs to region-specific mortality, PYLL, YLD and DAL Ys data
The ABSMs were then compared with the sex- and age-adjusted rates for the health measures (PMR, PYLL and self-rated health).
76 for PYLL and material deprivation), indicating that most measures of ABSM and health are highly related, the exceptions being social deprivation and, to some degree, self-rated health.
The PYLL rate for deaths due to illegal drug use was 288 per 100,000 men and 129 per 100,000 women aged 0 to 80+ (Table 3).