The relationship between hourly energy balance and fat mass in female collegiate soccer players

Introduction: Soccer athletes have better performance if they maintain low fat mass (FM) relative to fat-free mass. Recent evidence suggests that maintenance of energy balance (EB) is associated with lower FM in athletes. Prior studies have used daily EB rather than hourly, but this approach does not consider duration of time athletes spend in EB versus surplus or deficit. Objective: Test the hypotheses that (1) time spent in EB is inversely associated with FM, and (2) athletes with mean hourly EB in the deficit range have lower FM than those in balance or surplus. Methods: Collegiate female soccer players (n=20) were enrolled in this cross-sectional study. A 3-day diet/activity record was obtained and analysed to estimate EB in hourly increments. Hourly EB was categorized as: Surplus, >400 kcal EB; Balance, between ±400 kcal EB; Deficit, <-400 kcal EB. Total hours spent in each category and mean EB (kcals) was calculated from the 3-day period. Bioelectrical Impedance Analysis was used to derive indices of FM (total FM in kg, % fat, fat mass index). Pearson correlations evaluated associations between FM measures and time spent in each EB category. One-way ANOVA with Tukey post-hoc testing was used to assess differences in FM among athletes stratified into surplus, balance, or deficit based on mean hourly EB. Results: Hourly energy deficit was associated with higher FM compared to energy surplus or balance. Conclusion: Female collegiate soccer players who sustain EB during the day, and limit time spent in energy deficit, had lower FM measures.CEB is supported by Grant Number (T32HL105349) from The National Heart, Lung, and Blood Institute. Additional support was provided by Award Number (P30DK056336) from The National Institute of Diabetes and Digestive and Kidney Diseases

VACET: Proposed SciDAC2 Visualization and Analytics Center forEnabling Technologies

This paper accompanies a poster that is being presented atthe SciDAC 2006 meeting in Denver, CO. This project focuses on leveragingscientific visualization and analytics software technology as an enablingtechnology for increasing scientific productivity and insight. Advancesincomputational technology have resultedin an "information big bang,"which in turn has createda significant data understanding challenge. Thischallenge is widely acknowledged to be one of the primary bottlenecks incontemporary science. The vision for our Center is to respond directly tothat challenge by adapting, extending, creating when necessary anddeploying visualization and data understanding technologies for ourscience stakeholders. Using an organizational model as a Visualizationand Analytics Center for Enabling Technologies (VACET), we are wellpositioned to be responsive to the needs of a diverse set of scientificstakeholders in a coordinated fashion using a range of visualization,mathematics, statistics, computer and computational science and datamanagement technologies

Tissue integration in oral,orthopedic & Maxillofacial reconstruction

394 hlm

May-Thurner Syndrome Presenting with Pelvic Hemorrhage in the Setting of Blunt Trauma

May-Thurner Syndrome is a vascular condition in which chronic compression of the left common iliac vein by the overlying right common iliac artery causes impaired venous return from the left lower extremity as well as possible development of pelvic varicosities. The condition typically presents with acute left lower extremity deep vein thrombosis or with signs and symptoms of pelvic or lower extremity venous insufficiency. In our patient, however, the presenting symptom was hemorrhage of pelvic varicosities in the setting of extensive pelvic fractures sustained during a motor vehicle collision. Acute hemorrhage in the setting of pelvic fractures is typically associated with the need for arterial angiography and possible embolization. This patient was instead treated with venography and stenting of her May-Thurner lesion which resulted in the resolution of her bleeding pelvic varicosities and improvement in her pre-existing pelvic and lower extremity venous symptoms

Maladaptive behavior: an introduction to abnormal psychology/ laney

668 hal: ill; 26 cm

Maladaptive behavior: an introduction to abnormal psychology/ laney

668 hal: ill; 26 cm

VACET: Proposed SciDAC2 Visualization and Analytics Center for Enabling Technologies

Abstract. This project focuses on leveraging scientific visualization and analytics software technology as an enabling technology for increasing scientific productivity and insight. Advances in computational technology have resulted in an “information big bang, ” which in turn has created a significant data understanding challenge. This challenge is widely acknowledged to be one of the primary bottlenecks in contemporary science. The vision for our Center is to respond directly to that challenge by adapting, extending, creating when necessary and deploying visualization and data understanding technologies for our science stakeholders. Using an organizational model as a Visualization and Analytics Center for Enabling Technologies (VACET), we are well positioned to be responsive to the needs of a diverse set of scientific stakeholders in a coordinated fashion using a range of visualization, mathematics, statistics, computer and computational science and data management technologies. 1. Scientific Data Understanding Requirements To engineer our activities to be directly responsive to the needs of the scientific community, we draw upon a number of information sources. In 2002, computational scientists at NERS

VACET: Proposed SciDAC2 Visualization and Analytics Center for Enabling Technologies

This paper accompanies a poster that is being presented at the SciDAC 2006 meeting in Denver, CO. This project focuses on leveraging scientific visualization and analytics software technology as an enabling technology for increasing scientific productivity and insight. Advances incomputational technology have resulted in an "information big bang," which in turn has createda significant data understanding challenge. This challenge is widely acknowledged to be one of the primary bottlenecks in contemporary science. The vision for our Center is to respond directly to that challenge by adapting, extending, creating when necessary and deploying visualization and data understanding technologies for our science stakeholders. Using an organizational model as a Visualization and Analytics Center for Enabling Technologies (VACET), we are well positioned to be responsive to the needs of a diverse set of scientific stakeholders in a coordinated fashion using a range of visualization, mathematics, statistics, computer and computational science and data management technologies

Meet the Proposed Visualization and Analytics Center for Enabling Technologies

The Visualization and Analytics Center for Enabling Technologies (VACET) focuses on leveraging scientific visualization and analytics software technology as an enabling technology for increasing scientific productivity and insight. Advances in computational technology have resulted in an "information big bang," which in turn has created a significant data understanding challenge. This challenge is widely acknowledged to be one of the primary bottlenecks in contemporary science. The vision for our Center is to respond directly to that challenge by adapting, extending, creating when necessary and deploying visualization and data understanding technologies for our science stakeholders. Using an organizational model as a SciDAC Center, we are well positioned to be responsive to the needs of a diverse set of scientific stakeholders in a coordinated fashion using a range of visualization, mathematics, statistics, computer and computational science and data management technologies