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Articles 31 - 39 of 39
Full-Text Articles in Clinical Epidemiology
Bout Vs. Non-Bout Physical Activity Minutes As Predictors Of Waist Circumference In College Students, Valerie Olijar, Matt Scott, Brooke Ferraro, Elizabeth Edwards, Trent Hargens
Bout Vs. Non-Bout Physical Activity Minutes As Predictors Of Waist Circumference In College Students, Valerie Olijar, Matt Scott, Brooke Ferraro, Elizabeth Edwards, Trent Hargens
Showcase of Graduate Student Scholarship and Creative Activities
Physical activity recommendations to reduce all cause mortality consist of 10 minute bouts of a moderate-vigorous intensity, for a total of 150 min/week. This study investigates if those 10 minute bouts really matter. We found that step count was the best predictor of waist circumference. This finding supports many new technological devices that use step counts as a form of measuring activity. It provides support that the more steps you take, the likelier you will have a small waist.
An Application Of The Modifiable Areal Unit Problem: Optimizing Cluster Method Parameters To Produce Predictive Data For Hiv Outbreaks, Connor J. Chato, Art Fy Poon
An Application Of The Modifiable Areal Unit Problem: Optimizing Cluster Method Parameters To Produce Predictive Data For Hiv Outbreaks, Connor J. Chato, Art Fy Poon
Western Research Forum
Background
A popular approach to study HIV outbreaks is to cluster cases based on genetic similarity. However, there is no widely-used statistical criterion which optimizes the parameters for sequence-based clustering methods. The relationship between a cluster-defining similarity threshold and it’s associated set of clusters can be analogized to the aggregation level in the Modifiable Areal Unit Problem (MAUP).
Hypothesis
Based on the selection of aggregation level for study partitions in MAUP, we present a statistical framework to optimize the similarity threshold for pairwise distance algorithm TN93 (http://github.com/veg/tn93). We hypothesize that defining this threshold includes case connections such that …
Quantifying The Invisible: A Literature Review And History Of Research On The Health Effects Of Wildfire Smoke, Lily A. Cook Ma
Quantifying The Invisible: A Literature Review And History Of Research On The Health Effects Of Wildfire Smoke, Lily A. Cook Ma
OHSU-PSU School of Public Health Annual Conference
The objective of this scoping review is to provide an overview of issues affecting the results of studies on the health effects of non-occupational wildfire exposure. Although it is well established that wildfire smoke is harmful to people with chronic respiratory conditions, research on other health impacts have often found inconsistent results or small effect sizes. These results are often misinterpreted to mean that wildfire smoke has a negligible effect on non-respiratory outcomes such as cardiovascular health or mortality. However, what these results actually reflect is the complexity of determining public exposure to wildfire smoke, as well as variations in …
Association Between Smoking And Functional Outcome In Acute Ischemic Stroke Population Treated With Tissue Plasminogen Activator, Iretioluwa Ajani, Oluyemi R. Rotimi, Olubunmi Kuku, Ndukwe Kalu, Olakunle Oni, Christian Nwabueze, Thomas Nathaniel, Shimin Zheng
Association Between Smoking And Functional Outcome In Acute Ischemic Stroke Population Treated With Tissue Plasminogen Activator, Iretioluwa Ajani, Oluyemi R. Rotimi, Olubunmi Kuku, Ndukwe Kalu, Olakunle Oni, Christian Nwabueze, Thomas Nathaniel, Shimin Zheng
Appalachian Student Research Forum
Association between Smoking and Functional Outcome in Acute Ischemic Stroke Population Treated with Tissue Plasminogen Activator
Iretioluwa Ajani1, Oluyemi Rotimi1, Olubunmi Kuku1, Ndukwe Kalu1, Olakunle Oni1, Nwabueze Christian1,Thomas Nathaniel2, Shimin Zheng1*
1Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614
2Department of Neurology, Department of Pharmacology, Physiology & Neuroscience, University of South Carolina School of Medicine, Columbia, SC 29208
*Sponsoring faculty
Background
The effect of smoking on outcome in acute ischemic stroke patients treated with …
Shigellosis And Giardiasis Among People Living With Hiv In Washington, Dc, 2012-2016, Kimesha Linton, Kerri Dorsey, Sasha Mcgee, Preetha Iyengar, Garret Lum, Rupali Doshi
Shigellosis And Giardiasis Among People Living With Hiv In Washington, Dc, 2012-2016, Kimesha Linton, Kerri Dorsey, Sasha Mcgee, Preetha Iyengar, Garret Lum, Rupali Doshi
GW Research Days 2016 - 2020
Background: Shigellosis and giardiasis are transmitted via food, water, and fecal-oral contact. CDC has recently reported increased shigellosis among men who have sex with men (MSM) and among people living with HIV (PLWH), particularly stage 3. Our goal was to characterize the incidence and risk factors associated with shigellosis and giardiasis among PLWH in Washington, DC, in an era of robust availability of antiretroviral treatment.
Methods: We conducted a retrospective analysis of HIV, shigellosis and giardiasis cases reported to the District of Columbia Department of Health from 2012 to 2016. We used LinkPlus to probabilistically match individuals with reported …
(Video) Characterizing The Exposome: Critical Analysis Of Exposome-Wide Association Studies, Marlee Nelson, Matias Attene Ramos
(Video) Characterizing The Exposome: Critical Analysis Of Exposome-Wide Association Studies, Marlee Nelson, Matias Attene Ramos
GW Research Days 2016 - 2020
Purpose: The exposome is a conceptual framework of all exposures encountered by an individual in his or her lifetime. Studying the exposome is thereby a monumental feat that may require extensive research, conceptualization, and proof-of-concept analyses. Researchers have begun studying the exposome by developing exposome- and environment-wide association studies (EWAS). Since EWAS is such a novel technique, this critical analysis of existing EWAS in the literature sought to determine whether the studies utilized common research methods, how the data were analyzed, and whether the analyses were similar. The analysis also sought to explore ways in which these studies could inform …
Predictive Value Of The Functional Movement Screen As It Relates To Anterior Cruciate Ligament Injury, Daniel A. Herring, Kyle D. Cherry, Hannah L. Stedge
Predictive Value Of The Functional Movement Screen As It Relates To Anterior Cruciate Ligament Injury, Daniel A. Herring, Kyle D. Cherry, Hannah L. Stedge
The Research and Scholarship Symposium (2013-2019)
Introduction: Anterior cruciate ligament injuries occur over 200,000 times annually in the United States alone (Brophy, et al. 2009). This injury strains the healthcare system and affects the players, teams, parents, and the organization they are a part of. There have been, however, clinically researched risk factors that predispose athletes to ACL injury (Gignac, et al. 2015; Laible, et al. 2014). As a result, there is a clinical need for an effective screening tool to identify those athletes at risk for ACL injury. The Functional Movement Screen has been shown to be an effective screening tool for detecting athletes who …
A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross
A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross
Yale Day of Data
Post-market surveillance is a collection of processes and activities used by product manufacturers and regulators, such as the U.S. Food and Drug Administration (FDA) to monitor the safety and effectiveness of medical devices once they are available for use “on the market”. These activities are designed to generate information to identify poorly performing devices and other safety problems, accurately characterize real-world device performance and clinical outcomes, and facilitate the development of new devices, or new uses for existing devices. Typically, a device is monitored by comparing adverse events in the exposed population to a matched unexposed population. This research considers …
Using Graph Visualization To Look At The Trajectories Of Events That Lead To Readmission, Abbas Shojaee, Isuru Ranasinghe, Sudhakar Nuti, Shu-Xia Li, Harlan Krumholz
Using Graph Visualization To Look At The Trajectories Of Events That Lead To Readmission, Abbas Shojaee, Isuru Ranasinghe, Sudhakar Nuti, Shu-Xia Li, Harlan Krumholz
Yale Day of Data
Information on specific sequence of healthcare utilization events in heart failure patients may be useful for identifying distinct subpopulations of patients with HF. Knowledge of patient trajectories may help to improve prediction of future readmission which can be used to tailor management to the individual needs of the patient.
This research introduces a new approach to mining administrative and clinical datasets by incorporating graph networks to identify & visualize the trajectories of sequences of events.