Cognition and brain health among older adults in Iceland: the AGES-Reykjavik study.
Vaka ValsdóttirBrynja Björk MagnúsdóttirMilan ChangSigurdur SigurdssonVilmundur G GudnasonLenore J LaunerMaría K JónsdóttirPublished in: GeroScience (2022)
The paper aimed to compare how factors previously identified as predictive factors for cognitive decline and dementia related to cognitive performance on the one hand and brain health on the other. To that aim, multiple linear regression was applied to the AGES-Reykjavik study epidemiological data. Additionally, a regression analysis was performed for change in cognition over 5 years, using the same exposure factors. The study ran from 2002 to 2011, and the sample analyzed included 1707 participants between the ages of 66 and 90. The data contains MR imaging, cognitive testing, background data, and physiological measurements. Overall, we conclude that risk factors linked to dementia relate differently to cognition and brain health. Mobility, physical strength, alcohol consumption, coronary artery disease, and hypertension were associated with cognition and brain volume. Smoking, depression, diabetes, and body fat percentage were only associated with brain volume, not cognitive performance. Modifiable factors previously linked to cognitive reserve, such as educational attainment, participation in leisure activities, multilingualism and good self-reported health, were associated with cognitive function but did not relate to brain volume. These findings show that, within the same participant pool, cognitive reserve proxy variables have a relationship with cognitive performance but have no association with relative brain volume measured simultaneously.
Keyphrases
- white matter
- mild cognitive impairment
- resting state
- cognitive decline
- healthcare
- public health
- coronary artery disease
- mental health
- functional connectivity
- physical activity
- alcohol consumption
- type diabetes
- blood pressure
- cerebral ischemia
- heart failure
- depressive symptoms
- health information
- big data
- magnetic resonance imaging
- climate change
- risk assessment
- machine learning
- cognitive impairment
- skeletal muscle
- computed tomography
- acute coronary syndrome
- percutaneous coronary intervention
- metabolic syndrome
- left ventricular
- human health
- contrast enhanced
- insulin resistance
- subarachnoid hemorrhage