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P4‐085: MEMENTO: A NATIONAL COHORT ON DETERMINANTS AND BIOMARKERS OF ALZHEIMER'S DISEASE AND ASSOCIATED DISORDERS
Author(s) -
Chene Genevieve,
Ousset PierreJean,
Pasquier Florence,
Dartigues JeanFrancois,
Gabelle Audrey,
Hugon Jacques,
Blanc Frederic,
KrolakSalmon Pierre,
Ceccaldi Mathieu Pierre,
Barrellon MarieOdile,
Beauchet Olivier,
Belin Catherine,
Benetos Athanase,
Dubois Bruno,
Gentric Armelle,
Godefroy Olivier,
Hannequin Didier,
Ha Olivier,
Harston Sandrine,
Hommet Caroline,
Jalenques Isabelle,
Moreaud Olivier,
Paccalin Marc,
Pariente Jeremie,
David Renaud,
Rouaud Olivier,
Sellal Francois,
Vandel Pierre,
Vercelletto Martine,
Marcy Olivier,
Dufouil Carole
Publication year - 2014
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2014.05.1600
Subject(s) - biobank , cohort , medicine , prospective cohort study , neuropsychology , dementia , disease , cognitive decline , cognition , gerontology , family medicine , psychiatry , pathology , bioinformatics , biology
sequence (n1⁄423), were evaluated on the Saykin scale modified for severity (Saykin-mod-sev), (Saykin, Reisberg modification, 2013), and an Emotional Severity Scale (ESS), (Guillo BenArous, 2013). We compared the scales with respect to scores on a battery of psychological tests and demographic variables, specifically, age, gender, and education. Results: We found a significant relationship between the Saykin ADNI Self Report Index and the Trail Making Test B (P1⁄40.009) (see figure). We also found a significant relationship between the Visual Analogue Scale and the Paired Associates Delayed Recall measure (p1⁄40.028). For the demographic variables a significant relationship was found with selected tests (see Figure). Conclusions: These findings could be of relevance for future prevention trials. Ultimately, we need to determine the sensitivity of temporally based scales in comparison with severity based scales and identify optimal predictors of eventual MCI and AD.