2,037 research outputs found

    Preseason Jump and Hop Measures in Male Collegiate Basketball Players: An Epidemiologic Report

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    Background: Injuries are inherent in basketball with lower extremity (LE) injury rates reported as high as 11.6 per 1000 athletic exposures (AEs); many of these injuries result in time loss from sport participation. A recent trend in sports medicine research has been the attempt to identify athletes who may be at risk for injury based on measures of preseason fitness. Hypothesis/Purpose: The purpose of this prospective cohort study was to determine if the standing long jump (SLJ) and/or the single-leg hop (SLH) for distance functional performance tests (FPT) are associated with non-contact time loss lower quadrant (LQ, defined as lower extremities or low back) injury in collegiate male basketball players. It was hypothesized that basketball players with shorter SLJ or SLH measures would be at an increased risk for LQ injury. Methods: Seventy-one male collegiate basketball players from five teams completed a demographic questionnaire and performed three SLJ and six SLH (three per lower extremity) tests. Team athletic trainers tracked non-contact LQ time loss injuries during the season. Study Design: Prospective cohort Results: Mean SLJ distance (normalized to height) was 0.99 (± 0.11) and mean SLH distances for the right and left were 0.85 ± 0.11 and 0.87 ± 0.10, respectively. A total of 29 (18 initial, 11 subsequent) non-contact time loss LQ injuries occurred during the study. At risk athletes (e.g., those with shorter SLJ and/or SLH) were no more likely to experience a non-contact time loss injury than their counterparts [OR associated with each FPT below cut scores = 0.9 (95% CI: 0.2, 4.9)]. The results from this study indicate that preseason performance of the SLJ and the SLH were not associated with future risk of LQ injury in this population. Conclusions: Preseason SLJ and SLH measures were not associated with non-contact time loss injuries in male collegiate basketball players. However, the descriptive data presented in this study can help sports medicine professionals evaluate athletic readiness prior to discharging an athlete back to sport after a LQ injury

    Injury in D III Volleyball Players is Associated with Preseason Jump and Hop Measures

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    Collegiate volleyball (VB) players are at risk for sports injuries. Reported time-loss injury rates for female Division III (D III) collegiate VB players range from 4.0 to 5.4 injuries per 1000 athletic exposures (AEs). Identifying risk factors in this population may help coaches to reduce injury rates via targeted training programs. The purpose of this prospective cohort study was to determine the ability of 2 functional performance tests (FPTs) [the standing long jump (SLJ) and/or the single-leg hop (SLH) for distance] to identify female D III VB players who may be at an increased risk for a non-contact time-loss lower quadrant (LQ = low back and lower extremities) injury

    Electronic Structure of Nearly Ferromagnetic compound HfZn2_{2}

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    The electronic structure of HfZn2_{2} has been studied based on the density functional theory within the local-density approximation. The calculation indicates that HfZn2_{2} shows ferromagnetic instability. Large enhancement of the static susceptibility over its non-interacting value is found due to a peak in the density of states at the Fermi level

    Preseason Functional Test Scores are Associated with Future Sports Injury in Female Collegiate Athletes

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    Brumitt, J, Heiderscheit, B, Manske, R, Niemuth, PE, Mattocks, A, and Rauh, MJ. Preseason functional test scores are associated with future sports injury in female collegiate athletes. J Strength Cond Res 32(6): 1692–1701, 2018—Recent prospective cohort studies have reported preseason functional performance test (FPT) measures and associations with future risk of injury; however, the findings associated with these studies have been equivocal. The purpose of this study was to determine the ability of a battery of FPTs as a preseason screening tool to identify female Division III (D III) collegiate athletes who may be at risk for a noncontact time-loss injury to the lower quadrant (LQ = low back and lower extremities). One hundred six female D III athletes were recruited for this study. Athletes performed 3 FPTs: standing long jump (SLJ), single-leg hop (SLH) for distance, and the lower extremity functional test (LEFT). Time-loss sport-related injuries were tracked during the season. Thirty-two (24 initial and 8 subsequent) time-loss LQ injuries were sustained during the study. Ten of the 24 initial injuries occurred at the thigh and knee. At-risk athletes with suboptimal FPT measures (SLJ #79% ht; (B) SLH #64% ht; LEFT $118 seconds) had significantly greater rates of initial (7.2 per 1,000 athletic exposures [AEs]) and total (7.6 per 1,000 AEs) time-loss thigh or knee injuries than the referent group (0.9 per 1,000 AEs; 1.0 per 1,000 AEs, respectively). At-risk athletes were 9 times more likely to experience a thigh or knee injury (odds ratio [OR] = 9.7, confidence interval [CI]: 2.3–39.9; p = 0.002) than athletes in the referent group. At-risk athletes with a history of LQ sports injury and lower off-season training habits had an 18-fold increased risk of a time-loss thigh or knee injury during the season (adjusted OR = 18.7, CI: 3.0–118.1; p = 0.002). This battery of FPTs appears useful as a tool for identifying female D III athletes at risk of an LQ injury, especially to the thigh or knee region

    Predicting the Storm Surge Threat of Hurricane Sandy with the National Weather Service SLOSH Model

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    Numerical simulations of the storm tide that flooded the US Atlantic coastline during Hurricane Sandy (2012) are carried out using the National Weather Service (NWS) Sea Lakes and Overland Surges from Hurricanes (SLOSH) storm surge prediction model to quantify its ability to replicate the height, timing, evolution and extent of the water that was driven ashore by this large, destructive storm. Recent upgrades to the numerical model, including the incorporation of astronomical tides, are described and simulations with and without these upgrades are contrasted to assess their contributions to the increase in forecast accuracy. It is shown, through comprehensive verifications of SLOSH simulation results against peak water surface elevations measured at the National Oceanic and Atmospheric Administration (NOAA) tide gauge stations, by storm surge sensors deployed and hundreds of high water marks collected by the U.S. Geological Survey (USGS), that the SLOSH-simulated water levels at 71% (89%) of the data measurement locations have less than 20% (30%) relative error. The RMS error between observed and modeled peak water levels is 0.47 m. In addition, the model’s extreme computational efficiency enables it to run large, automated ensembles of predictions in real-time to account for the high variability that can occur in tropical cyclone forecasts, thus furnishing a range of values for the predicted storm surge and inundation threat

    Developing Age-Friendly Cities: An evidence-based evaluation tool

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    Recent years have seen a proliferation of initiatives aimed at enhancing the age-friendliness of urban settings. The World Health Organization's (WHO) global Age-Friendly Cities (AFC) programme has been central to these. Cities seeking to become more age-friendly need reliable ways of assessing their efforts. This article describes an evidence-based evaluation tool for age-friendly initiatives whose development was informed by fieldwork in Liverpool/UK. The tool complements existing assessment frameworks, including those provided by WHO, by paying particular attention to the structures and processes underlying age-friendly initiatives. It reflects the complexity of age-friendliness by reconciling a focus on breadth with detail and depth, and it allows for a highly accessible visual presentation of findings. Using selected examples from Liverpool, the article illustrates how the evaluation tool can be applied to guide policy and practice with an age-friendly focus in different urban contexts. Pilot testing in further settings is underway to refine the tool as a practical method for evaluation and for supporting city-level decision making. Key words: Age-Friendly City; evaluation tool; ageing; urbanisation; complex intervention

    An evaluation tool for Age-Friendly and Dementia Friendly Communities.

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    PURPOSE: The purpose of this paper is to report how an evaluation tool originally developed for Age-Friendly Cities was pilot-tested in the context of the Dementia Friendly Community (DFC) initiative of the city of Sheffield/UK. It presents finding and outputs on which other communities with dementia friendly agendas can draw. DESIGN/METHODOLOGY/APPROACH: The original evaluation tool was adapted to a focus on dementia friendliness. Data collection involved scoping conversations, documentary analysis, interviews and group discussions. Following evidence appraisal, Sheffield's approach to dementia friendliness was assessed. A local steering group was central to the study. FINDINGS: The evidence indicates areas of strength in Sheffield's approach to dementia friendliness: involvement of older people; service provision; collaboration; monitoring and evaluation. Scope for improvement was identified around resource allocation, and use of existing guidance on dementia friendliness. Recommendations for policy and practice include enhancing pooling of resources, more detailed recording of resources allocated to dementia-related activity, and collection of evidence on how people affected by dementia have shaped the city's DFC initiative. Key research outputs are an adaptable logic model and an emerging evaluation framework for DFCs. RESEARCH LIMITATIONS/IMPLICATIONS: The study was a short pilot with limited resources. Its findings and outputs must be considered preliminary. ORIGINALITY/VALUE: The findings and outputs provide a basis for further research. The study has suggested key components of an evaluation framework for DFCs. It is informing ongoing work to develop such a framework.Funded by the National Institute for Health Research (NIHR) School for Public Health Research (SPHR) in the UK as part of the Ageing Well Programme, 2012-2017

    The Lower-Extremity Functional Test and Lower-Quadrant Injury in NCAA Division III Athletes: A Descriptive and Epidemiologic Report

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    Context: The Lower-Extremity Functional Test (LEFT) has been used to assess readiness to return to sport after a lower extremity injury. Current recommendations suggest that women should complete the LEFT in 135 s (average; range 120-150 s) and men should complete the test in 100 s (average; range 90-125 s). However, these estimates are based on limited data and may not be reflective of college athletes. Thus, additional assessment, including normative data, of the LEFT in sport populations is warranted. Objective: To examine LEFT times based on descriptive information and off-season training habits in NCAA Division III (Dill) athletes. In addition, this study prospectively examined the LEFT’S ability to discriminate sport-related injury occurrence. Design: Descriptive epidemiology. Setting: Dill university. Subjects: 189 Dill college athletes (106 women, 83 men) from 15 teams. Main Outcome Measures: LEFT times, preseason questionnaire, and time-loss injuries during the sport season. Results: Men completed the LEFT (105 ± 9 s) significantly faster than their female counterparts (117 ± 10 s) (P \u3c .0001). Female athletes who reported \u3e3-5 h/wk of plyometric training during the off-season had significantly slower LEFT scores than those who performed \u3c3 h/wk of plyometric training (P - -03). The overall incidence of a lower-quadrant (LQ) time-loss injury for female athletes was 4.5/1000 athletic exposures (AEs) and 3.7/1000 AEs for male athletes. Female athletes with slower LEFT scores (\u3e118 s) experienced a higher rate of LQ time-loss injuries than those with faster LEFT scores (\u3c117 s) (P = .03). Conclusion: Only off-season plyometric training practices seem to affect LEFT score times among female athletes. Women with slower LEFT scores are more likely to be injured than those with faster LEFT scores. Injury rates in men were not influenced by performance on the LEFT
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