2016
DOI: 10.1093/arclin/acw090
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Normative Data for a Comprehensive Neuropsychological Test Battery used in the Assessment of Sports-Related Concussion

Abstract: In the absence of baseline testing, the normative data presented here can be used clinically to assess athletes' cognitive functioning post-concussion.

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Cited by 18 publications
(16 citation statements)
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“…In contrast, a study of 324 Mandarin speaking adults in China found that gender was associated with SDMT performance among the oldest age group (mean age of 69 years), but not in the younger age groups (mean age of 36 and 53 years). It may also be that the effects of gender are smaller than those of other demographic factors [64,65], and thus only observed in studies that are sufficiently large [29,53,60]. Indeed, in this study the effect size for gender was considerably smaller than that for education level.…”
Section: Discussionmentioning
confidence: 50%
See 1 more Smart Citation
“…In contrast, a study of 324 Mandarin speaking adults in China found that gender was associated with SDMT performance among the oldest age group (mean age of 69 years), but not in the younger age groups (mean age of 36 and 53 years). It may also be that the effects of gender are smaller than those of other demographic factors [64,65], and thus only observed in studies that are sufficiently large [29,53,60]. Indeed, in this study the effect size for gender was considerably smaller than that for education level.…”
Section: Discussionmentioning
confidence: 50%
“…However much of the data has been generated from small studies, commonly involving 200 individuals or less [11,26,[31][32][33][52][53][54][55][56], and this has prohibited the generation of demographic-specific norms. Furthermore, the studies that are available have generally focused on specific patient samples (e.g., multiple sclerosis [57][58][59]), or younger adults [26,52,56,60,61]. There has been a lack of large scale normative SDMT data for older individuals, and particularly that which has considered variation according to key demographic characteristics that are known to influence cognitive performance [33].…”
Section: Discussionmentioning
confidence: 99%
“…The use of normative data is a cornerstone of neuropsychological assessment (37). An extensive normative database for the ANAM exists with over a hundred thousand data points, which stratifies the performance of healthy, non-concussed SMs according to age and gender; these data were collected as part of SMs pre-deployment baseline assessments (35).…”
Section: Methodsmentioning
confidence: 99%
“…Data transformations of the neurocognitive variables were carried out using procedures described previously (Merritt et al, 2017;Rabinowitz & Arnett, 2013). Briefly, 18 neurocognitive variables were selected from the above measures (see Table 2) and converted from raw scores to standard scores (M = 100, SD = 15) using sex-specific means and standard deviations from a large normative sample of college athletes at baseline (Merritt et al, 2017). All standard scores were calculated so that higher values reflect better performance.…”
Section: Neuropsychological Data Transformationsmentioning
confidence: 99%
“…Neuropsychological compromise is perhaps the most well-known sequela of SRC. The broader neuropsychological literature has reported premorbid sex differences in cognition (Lezak, Howieson, Bigler, & Tranel, 2012), and sex differences have also specifically been identified in athletes undergoing baseline neuropsychological testing (Merritt et al, 2017). Given these premorbid differences in cognition, it is imperative to consider the extent to which biological sex influences post-concussion cognitive functioning.…”
Section: Introductionmentioning
confidence: 99%