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Birth Rate as a Determinant of Dementia Incidence: A Comprehensive Global Analysis.

Am J Alzheimers Dis Other Demen

January 2025

Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.

Background: The role of parity in predicting dementia risk in women is debated. This study examines how birth rate affects global dementia incidence.

Methods: Country-specific data on birth rate and dementia incidence rate were analyzed using bivariate analysis, partial correlation, and multiple linear regression.

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Apolipoprotein () genotype and nitric oxide (NO) deficiency are risk factors for age-associated cognitive decline. The oral microbiome plays a critical role in maintaining NO bioavailability during aging. The aim of this study was to assess interactions between the oral microbiome, NO biomarkers, and cognitive function in 60 participants with mild cognitive impairment (MCI) and 60 healthy controls using weighted gene co-occurrence network analysis and to compare the oral microbiomes between carriers and noncarriers in a subgroup of 35 MCI participants.

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Unlabelled: Metaphyseal comminution in distal radius fracture (DRF) cases might indicate severe osteoporosis. The patients with DRFs and metaphyseal comminution showed 5.2-fold increased secondary fractures compared with those receiving combination osteoporosis therapy.

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Background: RING finger protein 213 () p.R4810K is an established risk factor for moyamoya disease and intracranial artery stenosis in East Asian people. Recent evidence suggests its potential association with extracranial cardiovascular diseases, including pulmonary hypertension.

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Background: Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures - however, how these population-level risks relate to individual risk remains elusive. To address this, we assess over 450 potential risk factors in one deeply clinically and demographically phenotyped cohort using random forest classifiers to determine predictive markers of poor cognitive function. This study aims to understand early risk factors for dementia by identifying predictors of poor cognitive performance amongst a comprehensive battery of imaging, blood, atmospheric pollutant and socio-economic measures.

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