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Erschienen in: Metabolic Brain Disease 2/2019

16.01.2019 | Original Article

Increases in total cholesterol and low density lipoprotein associated with decreased cognitive performance in healthy elderly adults

verfasst von: Con Stough, Andrew Pipingas, David Camfield, Karen Nolidin, Karen Savage, Saurenne Deleuil, Andrew Scholey

Erschienen in: Metabolic Brain Disease | Ausgabe 2/2019

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Abstract

The current study examined associations between blood lipid profiles and cognitive functioning using a healthy non-demented elderly sample. The sample comprised 196 healthy volunteers (male; 86: female 110) aged 60–75 years from the Australian Research Council Longevity Intervention (ARCLI) study cohort. Serum total cholesterol (T-C), low density lipoprotein cholesterol (LDL-c), high density lipoprotein cholesterol (HDL-c) and triglycerides (TGL) were collected, and participants completed the Swinburne University Computerized Cognitive Assessment Battery (SUCCAB). In line with prediction, higher levels of T-C and LDL-c were found to be associated with impaired speeds of response in tasks assessing recognition memory, working memory and inhibitory processing. However, contrary to prediction both TGL and HDL-c were found to be unrelated to cognitive functioning in the current sample. It is suggested that frontal lobe function may be differentially sensitive to the effects of T-C and LDL-c accumulation during the aging process. Future data collection as part of the larger ARCLI intervention study will provide important follow-up data regarding the ability of the baseline blood lipid data to predict subsequent cognitive change.
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Metadaten
Titel
Increases in total cholesterol and low density lipoprotein associated with decreased cognitive performance in healthy elderly adults
verfasst von
Con Stough
Andrew Pipingas
David Camfield
Karen Nolidin
Karen Savage
Saurenne Deleuil
Andrew Scholey
Publikationsdatum
16.01.2019
Verlag
Springer US
Erschienen in
Metabolic Brain Disease / Ausgabe 2/2019
Print ISSN: 0885-7490
Elektronische ISSN: 1573-7365
DOI
https://doi.org/10.1007/s11011-018-0373-5

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