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Therefore, a sport class does not necessarily comprise one impairment type alone, but can include athletes with different impairments.
As is evident from the results, these changes were produced irrespective of the impairment type.
The final two demonstrations were geared toward subgroups of beneficiaries based on impairment type (psychiatric disabilities) and age (young adults).
Prior research has shown that the employment and earnings of beneficiaries vary greatly by impairment type (Mann et al. 2015).
This result suggests that the PC-PART may be sensitive to impairment type, however this premise requires testing in a specifically designed study.
These risk factors were age, previous psychiatric conditions, cerebrovascular disease, pre-existing cognitive impairment, type of surgery, perioperative administration of risperidone, blood product transfusion, postoperative oxygen saturation, mechanical ventilation time, atrial fibrillation and renal insufficiency.
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The fast-paced sport has grown to include athletes with all biomechanical impairment types as defined by IPC: impaired muscle strength, impaired passive range of motion, limb deficiency, leg length difference, short stature, hypertonia, ataxia and athetosis [2,5].
Competing athletes have ataxia, hypertonia or athetosis, three impairment types that are most commonly associated with cerebral palsy.
Furthermore, populations of athletes with all trunk impairment types should be included.
For impairment types other than trunk muscle strength (range and coordination), no information was found.
The proposed NR metric based on image classification showed consistently good performance for different impairment types.
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