Playing Her Shots

After failing to earn her LPGA Tour card, former All-American golfer Cindy Davis figured she was out of the game for good. Now she\u27s head of Nike Golf

Actical Accelerometry Cut-points for Quantifying Levels of Exertion: Comparing Normal and Overweight Adults

Int J Exerc Sci 5(2) : 170-182, 2012. Weight, body fatness and ambulatory pattern all have the potential to affect accelerometer output and cause differences in output between overweight and normal-weight adults. The purpose of this study was to determine if Actical (Philips Respironics, Bend, OR) activity count cut-points for moderate and vigorous intensity exercise are different for overweight adults compared to normal-weight adults. Overweight adults with BMI \u3e25 kg/m² (n=29) and Normal-Weight adults (n=25) walked at 3.2 and 4.8 km∙h-1 and ran at 6.4 km∙h-1 on a treadmill while simultaneously wearing an Actical accelerometer and obtaining measurements of oxygen uptake. Counts per minute (counts∙min-1) were determined at 3 METS (moderate) and 6 METS (vigorous) using ROC curves. The counts∙min-1 at 3 METs was 1726 and 1923 counts∙min-1 for Overweight and Normal-Weight groups, respectively. The cut-points at 6 METs were 4117 and 4032 counts∙min-1 for Overweight and Normal-Weight groups, respectively. The differences between groups were not statistically significant (p\u3e0.73 for both). Correlations between BMI and counts∙min-1 were not significant (p\u3e0.05) at any speed for the Normal-Weight group but were significant at 3.2 and 4.8 km∙h-1 for the Overweight group. Although there appears to be some relationship between activity counts∙min-1 and BMI, the results suggest that similar cut-points may be used for normal weight and overweight adults. However, the greater variability in counts at each speed and lower ROC curve areas for overweight adults suggest that it is harder to classify the activity intensity of overweight subjects compared to normal weight subjects

Professional Development for Educational Leaders in the Era of Performance Evaluation Reform

The word “accountability” has become a mantra in public education. Arguably, this one word, and the movement it has produced, has shaped the direction of our field in the past decade more than any other (Harris, 2011). This movement has led to many positive changes including an examination of gaps in student achievement, the types of assessments used in schools, and the strength of the performance evaluation systems for principals and teachers. Many large urban school districts, as well as entire states, have revamped the way public school principals and teachers are evaluated. In fact many, including the State of Tennessee, Dallas Independent School District, Milwaukee Public Schools, Houston Independent School District, and the State of Illinois, have started or will start using some sort of student achievement metric as part of teacher and/or principal performance evaluations. The ideas surrounding using student growth seem simple enough: If student test scores improve, it means the teacher or principal is doing his or her job well and therefore should be rewarded. This seemingly simple idea is in fact quite complex. Many school administrators may not have the background or training to implement growth models as part of performance evaluations (Mitgang, 2012), which could lead to potentially unethical and incorrect implementation of newer forms of accountability such as growth modeling. Such problems have already arisen in a number of districts across the nation (Harris, 2011)

Clinical benefits of low serum digoxin concentrations in heart failure

OBJECTIVES: We sought to determine whether there was a relationship between serum digoxin concentration (SDC), including SDCs typically regarded as low, and clinical efficacy related to digoxin in patients with symptomatic left ventricular dysfunction. BACKGROUND: Digitalis glycosides have been used for 200 years in the treatment of heart failure (HF), but the SDC required for optimal clinical efficacy and acceptable toxicity remains controversial. METHODS: This relationship was investigated by utilizing data from two randomized, double-blinded, placebo-controlled, digoxin-withdrawal trials: the Prospective Randomized study Of Ventricular failure and Efficacy of Digoxin (PROVED) and the Randomized Assessment of Digoxin on Inhibitors of Angiotensin-Converting Enzyme (RADIANCE). Major end points were worsening HF, change in left ventricular ejection fraction and treadmill time after randomization. The primary analysis investigated the relationship between SDC at randomization and these end points. A secondary categorical analysis compared these end points in patients who discontinued digoxin versus patients who continued digoxin and had low (0.5 to 0.9 ng/ml), moderate (0.9 to 1.2 ng/ml) or high (>1.2 ng/ml) SDCs at randomization. RESULTS: Multiple regression analysis failed to find a relationship between randomization SDC, considered as a continuous variable, and any study end point (all p > 0.236). Multivariable Cox analysis found that the risk of worsening HF was significantly less (all p < 0.02) for patients in any category of SDC who continued digoxin, as compared with patients withdrawn from digoxin. Specifically, patients in the low SDC category were significantly less likely than placebo patients to experience worsening HF during follow-up (p = 0.018). CONCLUSIONS: The beneficial effects of digoxin on common clinical end points in patients with HF were similar, regardless of SDC

AUTOMATED MULTI-FEATURE SEGMENTATION OF TREADMILL RUNNING

The definition of gait events and phases have been well established in the literature through the use of qualitative movement descriptors. The repeatable, objective definitions of gait events and phases is the cornersone of sucess when performin a multi-center trial. A correlation-based multi-feature automated segmentation algorithm was developed and applied to treadmill running data. The features used were soley from 3D kinematic marker trajectory data, including generated features such as vectors between kinematic markers. The algorithm was compared against a trained tester who used visual inspection and threshold limits of the vGRF to segment stance. The automated segmentation approach was shown to consistently identify the same gait events as the trained tester, representing a significant time savings for the signal processing of large volume treadmill running data

A Cluster Randomized Trial of Tailored Breastfeeding Support for Women with Gestational Diabetes

Background: Women with gestational diabetes mellitus (GDM) and their infants are at increased risk of developing metabolic disease; however, longer breastfeeding is associated with a reduction in these risks. We tested an intervention to increase breastfeeding duration among women with GDM

Comparison of transcranial electric motor and somatosensory evoked potential monitoring during cervical spine surgery.

BACKGROUND: There has been little enthusiasm for somatosensory evoked potential monitoring in cervical spine surgery as a result, in part, of the increased risk of motor tract injury at this level, to which somatosensory monitoring may be insensitive. Transcranial electric motor evoked potential monitoring allows assessment of the motor tracts; therefore, we compared transcranial electric motor evoked potential and somatosensory evoked potential monitoring during cervical spine surgery to determine the temporal relationship between the changes in the potentials demonstrated by each type of monitoring and neurological sequelae and to identify patient-related and surgical factors associated with intraoperative neurophysiological changes. METHODS: Somatosensory evoked potential and transcranial electric motor evoked potential data recorded for 427 patients undergoing anterior or posterior cervical spine surgery between January 1999 and March 2001 were analyzed. All patients who showed substantial (at least 60%) or complete unilateral or bilateral amplitude loss, for at least ten minutes, during the transcranial electric motor evoked potential and/or somatosensory evoked potential monitoring were identified. RESULTS: Twelve of the 427 patients demonstrated substantial or complete loss of amplitude of the transcranial electric motor evoked potentials. Ten of those patients had complete reversal of the loss following prompt intraoperative intervention, whereas two awoke with a new motor deficit. Somatosensory evoked potential monitoring failed to identify any change in one of the two patients, and the change in the somatosensory evoked potentials lagged behind the change in the transcranial electric motor evoked potentials by thirty-three minutes in the other. No patient showed loss of amplitude of the somatosensory evoked potentials in the absence of changes in the transcranial electric motor evoked potentials. Transcranial electric motor evoked potential monitoring was 100% sensitive and 100% specific, whereas somatosensory evoked potential monitoring was only 25% sensitive; it was, however, 100% specific. CONCLUSIONS: Transcranial electric motor evoked potential monitoring appears to be superior to conventional somatosensory evoked potential monitoring for identifying evolving motor tract injury during cervical spine surgery. Surgeons should strongly consider using this modality when operating on patients with cervical spondylotic myelopathy in general and on those with ossification of the posterior longitudinal ligament in particular