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In terms of attributable risks, education is by far the most important determinant, explaining 57% of the risk of early disability.
Need was measured in terms of attributable years of life lost (YLL) as related to causes that are considered to require assistance of health professionals associated to rehabilitation.
However, based on recent discoveries, the effect of any newly confirmed genetic association is likely to be small in terms of attributable risk, attaining an odds ratio of little more than 1.
We conclude that there is at least one as yet unidentified factor that is causally related to lung cancer risk and of considerable importance in terms of attributable risk in this population.
Exposure to ambient air pollution is ubiquitous, and even if increased risks of adverse reproductive outcomes due to such exposures are relatively small, they can have a big impact measured in terms of attributable cases at the population level.
However, given that breast cancer is the most common cancer in women and about 16% of the female workers in the United Kingdom are engaged in shift work, with a large proportion of them involved in night work (Steel, 2010), the public health impact in terms of attributable numbers of cases would be substantial as is confirmed by the analysis presented in this supplement.
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Breast density is the most important known risk factor for breast cancer in terms of population attributable risk.
One example is mammographic density, which in terms of population attributable risk, accounts for more breast cancers than family history.
In terms of population attributable risk, 19.6% of all post-menopausal breast cancer patients and 27.1% of those in women above age 70 years were attributable to overweight and obesity in this population.
In more quantitative assessments, the results are generally expressed in terms of the attributable change in morbidity or mortality, usually (unlike CRA) for each endpoint separately – aggregation is thus left to the user.
In terms of population attributable risk fractions the predictors of mortality with the strongest aetiologic force were, in descending order, male sex, mid upper arm circumference, age, disability, and cognitive impairment/dementia.
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