Chad 787 adult sex

Posted by / 12-Jul-2017 08:26

Biological aging models posit upstream causal factors such as lifestyle variables and genetics interacting with inflammatory status and vascular health to affect downstream factors such as neurodegeneration and cognitive function (De Carlo et al., 2014). Within such a model, the cause of age-related cognitive slowing is likely a complex cascade of processes. Moreover, CPS is a uniquely strong predictor of age-related cognitive declines among older adults, including those needing help with activities of daily living (Salthouse and Ferrer-Caja, 2003; Wahl et al., 2010).

Results: Resilient-agers had larger baseline CC volumes than sub-agers (p Cognitive processing speed (CPS) reaches its zenith during early adulthood (Salthouse, 1996) and declines from midlife onward (Salthouse, 2009), with age-related cognitive slowing widely reported (Cerella and Hale, 1994; Jenkins et al., 2000). Circulating interleukin-6 concentration and cognitive decline in old age: the PROSPER study. This was an exploratory observational study conducted over two time points. C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. We started with a convenience sample of 165 neurologically and functionally intact older adults (aged 60 years and older) from existing research cohorts at the UCSF Memory and Aging Center based on the availability of composite CPS data. Participants were followed with composite measures of CPS, calculated based on norms for 20–30 year-olds. doi: 10.1111/joim.12052 Pub Med Abstract | Cross Ref Full Text | Google Scholar Nouchi, R., Taki, Y., Takeuchi, H., Sekiguchi, A., Hashizume, H., Nozawa, T., et al. Four weeks of combination exercise training improved executive functions, episodic memory, and processing speed in healthy elderly people: evidence from a randomized controlled trial. doi: 10.1007/s11357-013-9588-x Pub Med Abstract | Cross Ref Full Text | Google Scholar Palta, P., Xue, Q. Variables of interest were AD risk genes (APOE, CR1), markers of inflammation (interleukin 6) and cardiovascular health (BMI, LDL, HDL, mean arterial pressure, fasting insulin), self-reported physical activity, and corpus callosum (CC) volumes.

Chad 787 adult sex-41Chad 787 adult sex-69Chad 787 adult sex-54

Objective: To examine the impact of genetic, inflammatory, cardiovascular, lifestyle, and neuroanatomical factors on cognitive processing speed (CPS) change over time in functionally intact older adults.