P3-474: OBJECTIVE CARDIOMETABOLIC DEMENTIA-RELATED RISK FACTORS ASSOCIATED WITH FUNCTIONAL BRAIN ACTIVITY IN OLDER ADULTS: AN EVENT-RELATED POTENTIAL STUDY

2019 ◽  
Vol 15 ◽  
pp. P1149-P1149
Author(s):  
Hannah Keage ◽  
Daniel Feuerriegel ◽  
Danielle Greaves ◽  
Emma Tregoweth ◽  
Scott Coussens ◽  
...  

2011 ◽  
Author(s):  
M. Sobanska ◽  
I. Szumska ◽  
D. Warakomski ◽  
P. Jaskowski


Hand ◽  
2020 ◽  
pp. 155894471989881 ◽  
Author(s):  
Taylor M. Pong ◽  
Wouter F. van Leeuwen ◽  
Kamil Oflazoglu ◽  
Philip E. Blazar ◽  
Neal Chen

Background: Total wrist arthroplasty (TWA) is a treatment option for many debilitating wrist conditions. With recent improvements in implant design, indications for TWA have broadened. However, despite these improvements, there are still complications associated with TWA, such as unplanned reoperation and eventual implant removal. The goal of this study was to identify risk factors for an unplanned reoperation or implant revision after a TWA at 2 academic medical centers between 2002 and 2015. Methods: In this retrospective study, 24 consecutive TWAs were identified using CPT codes. Medical records were manually reviewed to identify demographic, patient- or disease-related, and surgery-related risk factors for reoperation and implant removal after a primary TWA. Results: Forty-six percent of wrists (11 of 24 TWAs performed) had a reoperation after a median of 3.4 years, while 29% (7 of 24) underwent implant revision after a median of 5 years. Two patients had wrist surgery prior to their TWA, both eventually had their implant removed ( P = .08). There were no risk factors associated with reoperation or implant removal. Conclusion: Unplanned reoperation and implant removal after a primary TWA are common. Approximately 1 in 3 wrists are likely to undergo revision surgery. We found no factors associated with reoperation or implant removal; however, prior wrist surgery showed a trend toward risk of implant removal after TWA.





Nutrition ◽  
2019 ◽  
Vol 66 ◽  
pp. 142-146 ◽  
Author(s):  
C. Bolado Jiménez ◽  
H. Fernádez Ovalle ◽  
MF Muñoz Moreno ◽  
R. Aller de la Fuente ◽  
DA de Luis Román


2020 ◽  
Author(s):  
Nikhil Goyal ◽  
Dustin Moraczewski ◽  
Peter Bandettini ◽  
Emily S. Finn ◽  
Adam Thomas

AbstractUnderstanding brain functionality and predicting human behavior based on functional brain activity is a major goal of neuroscience. Numerous studies have been conducted to investigate the relationship between functional brain activity and attention, subject characteristics, autism, psychiatric disorders, and more. By modeling brain activity data as networks, researchers can leverage the mathematical tools of graph and network theory to probe these relationships. In their landmark study, Smith et al. (2015) analyzed the relationship of young adult connectomes and subject measures, using data from the Human Connectome Project (HCP). Using canonical correlation analysis (CCA), Smith et al. found that there was a single prominent CCA mode which explained a statistically significant percentage of the observed variance in connectomes and subject measures. They also found a strong positive correlation of 0.87 between the primary CCA mode connectome and subject measure weights. In this study, we computationally replicate the findings of the original study in both the HCP 500 and HCP 1200 subject releases. The exact computational replication in the HCP 500 dataset was a success, validating our analysis pipeline for extension studies. The extended replication in the larger HCP 1200 dataset was partially successful and demonstrated a dominant primary mode.



2020 ◽  
Vol 19 ◽  
pp. 1-13
Author(s):  
Luis David Berrones Sanz ◽  
María Guadalupe de Dios Bravo ◽  
Exiquio Cesar González Peña ◽  
Victoria Alejandra Muro Báez

From the perspective of social reproduction, the focus of this study is placed on the collective practice of diet in bike taxi drivers (or rickshaws) of Mexico City’s historic downtown, analyzed as key element in a characteristic pathologic profile observed in health/disease conditions, particularly as the cause for overweight, obesity, dyslipidemias, and factors associated to metabolic syndrome. A descriptive, cross-sectional study was conducted with 110 (90.2%) drivers. A survey was used to collect data on diet habits, working conditions and lifestyle. Anthropometric measurements and blood samples were taken to analyze biochemical parameters in order to assess the subjects’ health status and establish obesity-related risk factors. The results reveal that average daily soda consumption is 1.6 liters (54 fl. oz.), an equivalent of 629 kilocalories per day. Vegetables are consumed 3.1 times per week and 65.7 kilograms (145 pounds) of corn tortillas are consumed per year. Obesity is associated to the number of years a person has been driving a bike taxi [χ2(2, N = 99) = 6.747, p = 0.034]. 69.1% is overweight or obese, 63.3% has hypertriglyceridemia and 49.1% meet three or more criteria to be diagnosed with metabolic syndrome according to the Adult Treatment Panel III (ATP III). Drivers’ intake of sugary drinks and junk food is high, while recommended food intake like vegetables, fruits, legumes and white meat is low. Ongoing campaigns are recommended to promote healthy food intake, avoid sugary drinks intake and facilitate water consumption.



2005 ◽  
Vol 26 (2) ◽  
pp. 134-148 ◽  
Author(s):  
HONGMEI YANG ◽  
XIAOMING LI ◽  
BONITA STANTON ◽  
XINGUANG CHEN ◽  
HONGJIE LIU ◽  
...  


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