Literature DB >> 24556849

Emergence of mild cognitive impairment in late middle-aged adults in the wisconsin registry for Alzheimer's prevention.

Rebecca L Koscik1, Asenath La Rue, Erin M Jonaitis, Ozioma C Okonkwo, Sterling C Johnson, Barbara B Bendlin, Bruce P Hermann, Mark A Sager.   

Abstract

AIM: It is difficult to reliably detect the earliest signs of Alzheimer's disease (AD)-associated cognitive impairment. Our aim was to compare 3 psychometric methods of identifying amnestic mild cognitive impairment (aMCI) in a middle-aged longitudinal cohort enriched for AD risk.
METHODS: Wisconsin Registry for Alzheimer's Prevention (WRAP) participants with 3 waves of cognitive assessment over approximately 6 years were coded as meeting each of 3 psychometric aMCI definitions: (a) 'aMCI standard-baseline' used published norms to establish cutoffs for baseline performance; (b) 'aMCI robust-baseline' applied WRAP-specific robust norms to baseline, and (c) 'aMCI robust-multiwave' applied these robust norms across 3 waves of assessment. Each group was compared to a cognitively healthy subset.
RESULTS: Half the aMCI standard-baseline and one third of the aMCI robust-baseline group reverted to normal ranges at follow-up. Only the aMCI robust-multiwave method had an aMCI × age interaction showing significantly worse age-related memory declines in the aMCI group compared to the cognitively healthy group over 6 years of follow-up.
CONCLUSION: Both cross-sectional methods showed instability over time, with many reverting to normal performance after baseline. The multiwave approach identified a group who showed progressive memory declines over 3 visits. Being able to detect progressive decline in late middle age is a critical step in improving prevention efforts.

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Mesh:

Year:  2014        PMID: 24556849      PMCID: PMC4104157          DOI: 10.1159/000355682

Source DB:  PubMed          Journal:  Dement Geriatr Cogn Disord        ISSN: 1420-8008            Impact factor:   2.959


  47 in total

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Journal:  Dement Geriatr Cogn Disord       Date:  2012-03-09       Impact factor: 2.959

5.  Prevalence and natural course of aging-associated cognitive decline in a population-based sample of young-old subjects.

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8.  Machine learning amplifies the effect of parental family history of Alzheimer's disease on list learning strategy.

Authors:  Timothy S Chang; Michael H Coen; Asenath La Rue; Erin Jonaitis; Rebecca L Koscik; Bruce Hermann; Mark A Sager
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  54 in total

1.  Connected Language in Late Middle-Aged Adults at Risk for Alzheimer's Disease.

Authors:  Kimberly Diggle Mueller; Rebecca L Koscik; Lyn S Turkstra; Sarah K Riedeman; Asenath LaRue; Lindsay R Clark; Bruce Hermann; Mark A Sager; Sterling C Johnson
Journal:  J Alzheimers Dis       Date:  2016-10-18       Impact factor: 4.472

2.  Heritability of cognitive traits among siblings with a parental history of Alzheimer's disease.

Authors:  Burcu F Darst; Rebecca L Koscik; Bruce P Hermann; Asenath La Rue; Mark A Sager; Sterling C Johnson; Corinne D Engelman
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3.  Occupational Complexity and Cognitive Reserve in a Middle-Aged Cohort at Risk for Alzheimer's Disease.

Authors:  Elizabeth A Boots; Stephanie A Schultz; Rodrigo P Almeida; Jennifer M Oh; Rebecca L Koscik; Maritza N Dowling; Catherine L Gallagher; Cynthia M Carlsson; Howard A Rowley; Barbara B Bendlin; Sanjay Asthana; Mark A Sager; Bruce P Hermann; Sterling C Johnson; Ozioma C Okonkwo
Journal:  Arch Clin Neuropsychol       Date:  2015-07-08       Impact factor: 2.813

4.  Temporal Order of Alzheimer's Disease-Related Cognitive Marker Changes in BLSA and WRAP Longitudinal Studies.

Authors:  Murat Bilgel; Rebecca L Koscik; Yang An; Jerry L Prince; Susan M Resnick; Sterling C Johnson; Bruno M Jedynak
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5.  Multiple chronic conditions: Implications for cognition - Findings from the Wisconsin Registry for Alzheimer's Prevention (WRAP).

Authors:  Lisa C Bratzke; Beverly A Carlson; Chooza Moon; Roger L Brown; Rebecca L Koscik; Sterling C Johnson
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6.  Cardiorespiratory fitness is associated with brain structure, cognition, and mood in a middle-aged cohort at risk for Alzheimer's disease.

Authors:  Elizabeth A Boots; Stephanie A Schultz; Jennifer M Oh; Jordan Larson; Dorothy Edwards; Dane Cook; Rebecca L Koscik; Maritza N Dowling; Catherine L Gallagher; Cynthia M Carlsson; Howard A Rowley; Barbara B Bendlin; Asenath LaRue; Sanjay Asthana; Bruce P Hermann; Mark A Sager; Sterling C Johnson; Ozioma C Okonkwo
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7.  Associations between Performance on an Abbreviated CogState Battery, Other Measures of Cognitive Function, and Biomarkers in People at Risk for Alzheimer's Disease.

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8.  Biomarker clusters are differentially associated with longitudinal cognitive decline in late midlife.

Authors:  Annie M Racine; Rebecca L Koscik; Sara E Berman; Christopher R Nicholas; Lindsay R Clark; Ozioma C Okonkwo; Howard A Rowley; Sanjay Asthana; Barbara B Bendlin; Kaj Blennow; Henrik Zetterberg; Carey E Gleason; Cynthia M Carlsson; Sterling C Johnson
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9.  Proper names from story recall are associated with beta-amyloid in cognitively unimpaired adults at risk for Alzheimer's disease.

Authors:  Kimberly D Mueller; Rebecca L Koscik; Lianlian Du; Davide Bruno; Erin M Jonaitis; Audra Z Koscik; Bradley T Christian; Tobey J Betthauser; Nathaniel A Chin; Bruce P Hermann; Sterling C Johnson
Journal:  Cortex       Date:  2020-07-31       Impact factor: 4.027

10.  Mild Cognitive Impairment in Late Middle Age in the Wisconsin Registry for Alzheimer's Prevention Study: Prevalence and Characteristics Using Robust and Standard Neuropsychological Normative Data.

Authors:  Lindsay R Clark; Rebecca L Koscik; Christopher R Nicholas; Ozioma C Okonkwo; Corinne D Engelman; Lisa C Bratzke; Kirk J Hogan; Kimberly D Mueller; Barbara B Bendlin; Cynthia M Carlsson; Sanjay Asthana; Mark A Sager; Bruce P Hermann; Sterling C Johnson
Journal:  Arch Clin Neuropsychol       Date:  2016-11-22       Impact factor: 2.813

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