2 items tagged with 'risk factors'.
Abstract (Expand)
Obesity is a complex neurobehavioral disorder that has been linked to changes in brain structure and function. However, the impact of obesity on functional connectivity and cognition in aging humans … is largely unknown. Therefore, the association of body mass index (BMI), resting-state network connectivity, and cognitive performance in 712 healthy, well-characterized older adults of the Leipzig Research Center for Civilization Diseases (LIFE) cohort (60-80 years old, mean BMI 27.6 kg/m(2) +/- 4.2 SD, main sample: n = 521, replication sample: n = 191) was determined. Statistical analyses included a multivariate model selection approach followed by univariate analyses to adjust for possible confounders. Results showed that a higher BMI was significantly associated with lower default mode functional connectivity in the posterior cingulate cortex and precuneus. The effect remained stable after controlling for age, sex, head motion, registration quality, cardiovascular, and genetic factors as well as in replication analyses. Lower functional connectivity in BMI-associated areas correlated with worse executive function. In addition, higher BMI correlated with stronger head motion. Using 3T neuroimaging in a large cohort of healthy older adults, independent negative associations of obesity and functional connectivity in the posterior default mode network were observed. In addition, a subtle link between lower resting-state connectivity in BMI-associated regions and cognitive function was found. The findings might indicate that obesity is associated with patterns of decreased default mode connectivity similar to those seen in populations at risk for Alzheimer's disease. Hum Brain Mapp 38:3502-3515, 2017. (c) 2017 Wiley Periodicals, Inc.
Authors: F. Beyer, S. Kharabian Masouleh, J. M. Huntenburg, L. Lampe, T. Luck, S. G. Riedel-Heller, M. Loeffler, M. L. Schroeter, M. Stumvoll, A. Villringer, A. V. Witte
PubMed ID: 28397392
Citation: Hum Brain Mapp. 2017 Jul;38(7):3502-3515. doi: 10.1002/hbm.23605. Epub 2017 Apr 11.
Created: 13th May 2019 at 09:43, Last updated: 7th Dec 2021 at 17:58
Abstract (Expand)
INTRODUCTION: Previous studies have demonstrated that an overall high level of mental work demands decreased dementia risk. In our study, we investigated whether this effect is driven by specific mental … work demands and whether it is exposure dependent. METHODS: Patients aged 75+ years were recruited from general practitioners and participated in up to seven assessment waves (every 1.5 years) of the longitudinal AgeCoDe study. Analyses of the impact of specific mental work demands on dementia risk were carried out via multivariate regression modeling (n = 2315). RESULTS: We observed a significantly lower dementia risk in individuals with a higher level of "information processing" (HR, 0.888), "pattern detection" (HR, 0.878), "mathematics" (HR, 0.878), and "creativity" (HR, 0.878). Yet, exposure-dependent effects were only significant for "information processing" and "pattern detection." DISCUSSION: Our longitudinal observations suggest that dementia risk may be reduced by some but not all types of mental work demands.
Authors: F. S. Then, T. Luck, K. Heser, A. Ernst, T. Posselt, B. Wiese, S. Mamone, C. Brettschneider, H. H. Konig, S. Weyerer, J. Werle, E. Mosch, H. Bickel, A. Fuchs, M. Pentzek, W. Maier, M. Scherer, M. Wagner, S. G. Riedel-Heller
PubMed ID: 27693184
Citation: Alzheimers Dement. 2017 Apr;13(4):431-440. doi: 10.1016/j.jalz.2016.08.008. Epub 2016 Sep 28.
Created: 13th May 2019 at 09:18, Last updated: 7th Dec 2021 at 17:58