Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia
| Autor: | Roger A. Dixon, Kirstie L. McDermott, G. Peggy McFall |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Male Aging Memory Episodic Context (language use) Neuropsychological Tests Risk Assessment Healthy Aging 03 medical and health sciences Grip strength 0302 clinical medicine Memory Risk Factors protective factors Medicine Dementia Humans Episodic memory Aged 2. Zero hunger Aged 80 and over memory trajectories business.industry General Neuroscience dementia prevention Brain Cognition General Medicine Middle Aged medicine.disease SMA Gait Psychiatry and Mental health Clinical Psychology 030104 developmental biology Victoria Longitudinal Study Female Geriatrics and Gerontology business Body mass index 030217 neurology & neurosurgery Biomarkers Demography Research Article |
| Zdroj: | Journal of Alzheimer's Disease |
| ISSN: | 1875-8908 1387-2877 |
| Popis: | Background Non-demented cognitive aging trajectories are characterized by vast level and slope differences and a spectrum of outcomes, including dementia. Objective The goal of AD risk management (and its corollary, promoting healthy brain aging) is aided by two converging objectives: 1) classifying dynamic distributions of non-demented cognitive trajectories, and 2) identifying modifiable risk-elevating and risk-reducing factors that discriminate stable or normal trajectory patterns from declining or pre-impairment patterns. Method Using latent class growth analysis we classified three episodic memory aging trajectories for n = 882 older adults (baseline Mage=71.6, SD=8.9, range = 53-95, female=66%): Stable (SMA; above average level, sustained slope), Normal (NMA; average level, moderately declining slope), and Declining (DMA; below average level, substantially declining slope). Using random forest analyses, we simultaneously assessed 17 risk/protective factors from non-modifiable demographic, functional, psychological, and lifestyle domains. Within two age strata (Young-Old, Old-Old), three pairwise prediction analyses identified important discriminating factors. Results Prediction analyses revealed that different modifiable risk predictors, both shared and unique across age strata, discriminated SMA (i.e., education, depressive symptoms, living status, body mass index, heart rate, social activity) and DMA (i.e., lifestyle activities [cognitive, self-maintenance, social], grip strength, heart rate, gait) groups. Conclusion Memory trajectory analyses produced empirical classes varying in level and slope. Prediction analyses revealed different predictors of SMA and DMA that also varied by age strata. Precision approaches for promoting healthier memory aging-and delaying memory impairment-may identify modifiable factors that constitute specific targets for intervention in the differential context of age and non-demented trajectory patterns. |
| Databáze: | OpenAIRE |
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