Catherine M Calvin1, Tim Wilkinson2, John M Starr3, Cathie Sudlow4, Saskia P Hagenaars5, Sarah E Harris6, Christian Schnier7, Gail Davies8, Chloe Fawns-Ritchie8, Catharine R Gale8, John Gallacher9, Ian J Deary8. 1. Dementias Platform UK, Department of Psychiatry, University of Oxford Warneford Hospital, Oxford, UK; Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), Department of Psychology, University of Edinburgh, Edinburgh, UK. Electronic address: catherine.calvin@psych.ox.ac.uk. 2. Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. 3. Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), Department of Psychology, University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK. 4. Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Biobank, Cheadle, Stockport, UK. 5. Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), Department of Psychology, University of Edinburgh, Edinburgh, UK; Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, Denmark Hill, London, UK; NIHR Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK. 6. Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), Department of Psychology, University of Edinburgh, Edinburgh, UK; University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK. 7. Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK. 8. Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), Department of Psychology, University of Edinburgh, Edinburgh, UK. 9. Dementias Platform UK, Department of Psychiatry, University of Oxford Warneford Hospital, Oxford, UK.
Abstract
INTRODUCTION: Prospective studies reporting associations between cognitive performance and subsequent incident dementia have been subject to attrition bias. Furthermore, the extent to which established risk factors account for such associations requires further elucidation. METHODS: We used UK Biobank baseline cognitive data (n ≤ 488,130) and electronically linked hospital inpatient and death records during three- to eight-year follow-up, to estimate risk of total dementia (n = 1051), Alzheimer's disease (n = 352), and vascular dementia (n = 169) according to four brief cognitive tasks, with/without adjustment for constitutional and modifiable risk factors. RESULTS: We found associations of cognitive task performance with all-cause and cause-specific dementia (P < .01); these were not accounted for by established risk factors. Cognitive data added up to 5% to the discriminative accuracy of receiver operating characteristic curve models; areas under the curve ranged from 82% to 86%. DISCUSSION: This study offers robust evidence that brief cognitive testing could be a valuable addition to dementia prediction models. Crown
INTRODUCTION: Prospective studies reporting associations between cognitive performance and subsequent incident dementia have been subject to attrition bias. Furthermore, the extent to which established risk factors account for such associations requires further elucidation. METHODS: We used UK Biobank baseline cognitive data (n ≤ 488,130) and electronically linked hospital inpatient and death records during three- to eight-year follow-up, to estimate risk of total dementia (n = 1051), Alzheimer's disease (n = 352), and vascular dementia (n = 169) according to four brief cognitive tasks, with/without adjustment for constitutional and modifiable risk factors. RESULTS: We found associations of cognitive task performance with all-cause and cause-specific dementia (P < .01); these were not accounted for by established risk factors. Cognitive data added up to 5% to the discriminative accuracy of receiver operating characteristic curve models; areas under the curve ranged from 82% to 86%. DISCUSSION: This study offers robust evidence that brief cognitive testing could be a valuable addition to dementia prediction models. Crown
Authors: Kimberly L Parra; Gene E Alexander; David A Raichlen; Yann C Klimentidis; Melissa A Furlong Journal: Environ Res Date: 2022-02-08 Impact factor: 6.498
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