Kinesiology Commons^™

The Joint Effects Of Cognitive Function And Sedentary Time On Mortality Risk In Older Adults: 2011-2014 Nhanes, Sarah A. Wilson

UNF Graduate Theses and Dissertations

Background: Examining the joint effects of cognitive function (CF) and sedentary time (ST) may provide insight into the complex mechanisms underlying mortality risk within older adults. This study examines the joint effects of CF and ST on mortality risk in older adults.

Methods: Sample included 2,230 older adults (≥ 60 years of age) participants in the 2011-2014 National Health and Nutrition Examination Survey. The Digit Symbol Substitution Test (DSST), Consortium to Establish a Registry for Alzheimer's Disease (CERAD) subtests, and Animal Fluency (AF) were used to assess CF. Average daily sitting and television time represented ST. Quartiles of CF and …

Examining Potential Causal Associations Of Sedentary Time And Physical Activity With Heart Failure Using Subjective And Objective Measures: A Mendelian Randomization Analysis, Jessica Geller

UNF Graduate Theses and Dissertations

Purpose: The objective of this study was to assess the causal relationship between both subjectively and objectively measured sedentary time (ST) and physical activity (PA) with heart failure (HF) risk, utilizing Mendelian Randomization (MR) approach.

Methods: The present MR used genetic instruments identified for self-reported ST and PA extracted from 51 genome wide association studies (GWAS), encompassing data from 703,901 individuals. The GWAS identified 89 independent single nucleotide polymorphisms (SNPs) associated with leisure screen time. Eleven loci were reported to be associated with moderate to vigorous physical activity (MVPA). From another GWAS examining accelerometer-based activities, three loci were found to …

A Holistic Approach To Performance Prediction In Collegiate Athletics: Player, Team, And Conference Perspectives, Christopher Taber, S. Sharma, Mehul S. Raval, Samah Senbel, Allison Keefe, Jui Shah, Emma Patterson, Julie K. Nolan, N.S. Artan, Tolga Kaya

Exercise Science Faculty Publications

Predictive sports data analytics can be revolutionary for sports performance. Existing literature discusses players' or teams' performance, independently or in tandem. Using Machine Learning (ML), this paper aims to holistically evaluate player-, team-, and conference (season)-level performances in Division-1 Women's basketball. The players were monitored and tested through a full competitive year. The performance was quantified at the player level using the reactive strength index modified (RSImod), at the team level by the game score (GS) metric, and finally at the conference level through Player Efficiency Rating (PER). The data includes parameters from training, subjective stress, sleep, and recovery (WHOOP …

Mechanics Of The Foot And Ankle Joints During Running Using A Multi-Segment Foot Model Compared With A Single-Segment Model, Justin C. Wager, John H. Challis

Exercise Science Faculty Publications

The primary purpose of this study was to compare the ankle joint mechanics, during the stance phase of running, computed with a multi-segment foot model (MULTI; three segments) with a traditional single segment foot model (SINGLE). Traditional ankle joint models define all bones between the ankle and metatarsophalangeal joints as a single rigid segment (SINGLE). However, this contrasts with the more complex structure and mobility of the human foot, recent studies of walking using more multiple-segment models of the human foot have highlighted the errors arising in ankle kinematics and kinetics by using an oversimplified model of the foot. This …

The Effect Of Static Versus Progressive Volume Increases On Skeletal Muscle Hypertrophy, Aleksey Nikonchuk

EWU Masters Thesis Collection

No abstract provided.