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The attribution of disability to diseases depends on the disease prevalence and the disability rate of each disease.
By ignoring the interaction of diseases, it is possible that both under and overestimation of the attribution of disability to diseases occurred, similar to what has been shown in the mortality analysis [ 44, 45].
The attribution method also allows the attribution of disability to more than one disease by including interaction terms between diseases as the X di variable in the model [ 4].
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In this study, the contribution of specific chronic diseases to the prevalence of disability in Belgium using the attribution method [ 10] is presented.
Conclusions: In this sample of older adults, estimates of disability were underestimated by questions that included specific attribution to health conditions.
Recent reports have proposed that the attribution of nonspecific symptoms such as intellectual disability, attention deficit disorders, and fatigue to MCCD is questionable and may be caused by genetic variation outside of MCCC1 and MCCC2.
Results: A higher prevalence of disability was reported in the nonattributed compared with the health attribution (t=5.76, P<.001; 95% CI, 3.8 7.8).
Similarly, studies of symbolic presentations of disability mostly interpret representations (either fictional or biographical) of individuals whose characterization is inflected by attribution of one or another impairment.
Definitions of disability vary considerably.
Recommendations are given to reduce risk of disability.
What degree of disability?
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com