Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/833
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dc.contributor.advisorBedard, Michel-
dc.contributor.authorCampbell, Stephanie-
dc.date.accessioned2017-05-16T18:19:26Z-
dc.date.available2017-05-16T18:19:26Z-
dc.date.issued2016-
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/833-
dc.description.abstractThe current study involved an evaluation of the Attention Network Test (ANT) as a neurocognitive tool for assessing fitness to drive in the senior population. The ANT measures three distinct functions of attention: alerting, orienting and executive control. This test has been successfully utilized in a variety of clinical and research settings. Few studies have applied the ANT to driving research and none have examined the psychometric properties of the ANT over multiple time points. The participants in this study were senior drivers from the Candrive study. Overall, the ANT was found to have strong psychometric properties. Specifically, the ANT has good test-retest reliability demonstrated high convergent and divergent validity with other commonly used measures (i.e., MoCA, MMSE, Trails A and B, MVPT-3 and SIMARD-MD). In our sample, only Trails A, the SIMARD-MD and alerting scores showed significant change over time. Although the ANT was not more sensitive to cognitive decline as predicted, the cognitive changes were not redundant with other neurocognitive assessment tools. This high functioning sample of seniors coupled with only three annual measurement points may have limited our ability to detect drastic cognitive decline. Nonetheless, the current study provided valuable insight into the utility of a test of attentional processes, the Attention Network Test.en_US
dc.language.isoen_USen_US
dc.subjectAssessing fitness to drive in senior populationen_US
dc.subjectAttention Network Testen_US
dc.subjectDriving researchen_US
dc.subjectCognitive declineen_US
dc.titleEvaluating the attention network test and its ability to detect cognitive declineen_US
dc.typeThesis-
etd.degree.nameMaster of Artsen_US
etd.degree.levelMasteren_US
etd.degree.grantorLakehead Universityen_US
Appears in Collections:Electronic Theses and Dissertations from 2009

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