1,293 research outputs found
MI1 HANDLING MISSING DATA IN STOCHASTIC COST-EFFECTIVENESS ANALYSIS: THE IMPACT OF IMPUTATION METHODS ON ESTIMATES OF THE PHYSICAL QUANTITIES OF MEDICAL CARE RESOURCE USE
The Relationship Between Mindfulness and Life Stress in Student-Athletes : The Mediating Role of Coping Effectiveness and Decision Rumination
The role of dispositional mindfulness on stress in student-athletes and factors that mediate this relationship has yet to be examined. Accordingly, the purpose of this study was to investigate the relationships between the facets of mindfulness and life stress in student-athletes and whether these relationships are mediated through coping effectiveness and decision rumination. Participants were 202 student-athletes who completed validated measures of dispositional mindfulness, student-athlete life stress, decision rumination and coping effectiveness in sport. Results indicated that the acting with awareness and non-judging facets of mindfulness were negative predictors of life stress, whereas the observe facet was a positive predictor of life stress. Mediation analyses revealed that these relationships were mediated through coping effectiveness and decision rumination. Findings provide new insight into the role dispositional mindfulness plays on student-athlete perceptions of life stress and implications for practitioners are discussed
Sports nutritionistsâ perspectives on enablers and barriers to nutritional adherence in high performance sport: a qualitative analysis informed by the COM-B model and theoretical domains framework
Study on Doping Prevention: A map of Legal, Regulatory and Prevention Practice Provisions in EU 28
Historically, anti-doping efforts have focused on the detection and deterrence of doping in elite and competitive sport. There is, however, a growing concern that doping is occurring outside the organised sporting system; giving rise to the belief that the misuse of doping agents in recreational sport has become a societal problem and a public health issue that must be addressed. The EU Commission awarded a contract (EAC/2013/0617) to a Consortium to undertake this Study with the aim of developing the evidence-base for policies designed to combat doping in recreational sport. Fourteen internationally recognised experts shaped the Study which comprised (i) the collection of primary data through a structured survey, and (ii) secondary data through literature searches and website analysis. All 28 Member States participated in the information-gathering process. Specifically, this involved a systematic study of the ethical considerations, legal position, prevention research landscape, and current practise in relation to the prevention of doping in recreational sport. The Study provides a comprehensive overview of current practice and legislation as it applies to the prevention of doping and promotes and supports the sharing of best practices in the EU regarding the fight against doping in recreational sport. It concludes with seven recommendations for future action that focus on the need for a coordinated response in relation to the problems arising from doping in recreational sport
Contributions of Caregiver Management Styles to the Discrepancy Between Reported and Observed Task Performance in People with Dementia
Background: The identification and understanding of the discrepancy between caregiversâ reports of people with dementiaâs (PwD) performance of activities of daily living (ADLs) and observed performance, could clarify what kind of support a PwD effectively needs when completing tasks. Strategies used by caregivers have not been included in the investigation of this discrepancy.
Objectives: To (1) investigate if caregiversâ report of PwDâs ADL performance are consistent with PwDâs observed performance; (2) explore if caregiver management styles, depression, and anxiety, contribute to this discrepancy.
Methods: PwD (n=64) were assessed with standardised performance-based (AMPS) and informant-based (DAD) ADL assessments. Caregivers completed depression (PHQ-9), anxiety (GAD-7), and dementia management style (DMSS: criticism, active-management, and encouragement) questionnaires.
Cohenâs kappa determined agreement/disagreement in ADL performance. To investigate the potential discrepancy between the DAD and AMPS, a continuous variable was generated: comparative ADL score. Multiple linear regression analysis explored whether caregiversâ management styles, depression or anxiety could explain the ADL discrepancy.
Results: Poor level of agreement between observed and reported ADL performance [k= -0.025 (95%CI -0.123 â 0.073)] was identified, with most caregivers underestimating ADL performance.
The combined model explained 18% (R2=0.18, F(5, 55)=2.52,p=<0.05) of the variance of the comparative ADL score. Active-management (β=-0.037,t(60)=-3.363, p=0.001) and encouragement (β=0.025,t(60)=2.018, p=0.05) styles made the largest and statistically significant contribution to the model.
Conclusions: Encouragement style could be advised for caregivers who underestimate ADL performance, while active management style for those who overestimate it. Findings have scope to increase caregiversâ abilities to support PwD activity engagement in daily life
Yallalie: a Buried Structure of Possible Impact Origin in the Perth Basin, Western Australia
An enigmatic buried structure, located in Mesozoic sedimentary rocks in the Perth Basin, Western Australia, was discovered in 1990 by Ampol Exploration. The basin-like Yallalie structure (centred on 30 26' 40.3'' S, 115 46' 16.4'' E) is circular in plan view and about 12 km in diameter. High resolution,seismic-reflection profiles across the structure show a basin-shaped area of chaotic reflections that extend to a depth of approximately 2 km below the surface. The structure has sharp boundaries with surrounding faulted, but otherwise relatively undisturbed, rocks. In the centre of the structure there is an uplifted area approximately 3?4 km across, similar to those described from complex meteorite impact structures. The seismically defined structure coincides with a circular topographic depression, and image processing of digital elevation data has allowed recognition of concentric and radial structures extending as far as 40 km from the centre of the depression. Gravity surveys show the structure to be associated with a positive gravity anomaly of about 30 gu. Aeromagnetic surveys have defined annular anomalies associated with the central uplifted section, and possibly margins, of the structure. A search for siderophile element enrichments (by neutron activation analysis) in the rocks of the structure, which would indicate the presence of a meteorite component, proved negative. Quartz grains in cores that penetrate the structure show the development of prismatic cleavage fractures and irregular, slightly curved planes formed by brittle fracture. An allochthonous breccia of Late Cretaceous rocks occurs a few kilometres west of the western margin of the structure. Quartz grains from a thin veneer of Tertiary sediments that drape the structure are essentially undeformed. However, multiple sets of closely spaced planar deformation features in quartz, characteristic of highly shocked rocks, have yet to be observed in the rocks of the Yallalie structure and the allochthonous breccia. The morphology of the Yallalie structure determined from topographic and geophysical data suggests strongly that it is of impact origin. Geological and geochemical evidence is equivocal, but is not inconsistent with this interpretation
Cutting out continuations
In the field of program transformation, one often transforms programs into continuation-passing style to make their flow of control explicit, and then immediately removes the resulting continuations using defunctionalisation to make the programs first-order. In this article, we show how these two transformations can be fused together into a single transformation step that cuts out the need to first introduce and then eliminate continuations. Our approach is calculational, uses standard equational reasoning techniques, and is widely applicable
An economic evaluation of Nabumetone/Relifex compared with Ibuprofen and a weighted NSAID combination
Capturing accelerometer outputs in healthy volunteers under normal and simulated-pathological conditions using ML classifiers
Wearable devices offer a possible solution for acquiring objective measurements of physical activity. Most current algorithms are derived using data from healthy volunteers. It is unclear whether such algorithms are suitable in specific clinical scenarios, such as when an individual has altered gait. We hypothesized that algorithms trained on healthy population will result in less accurate results when tested in individuals with altered gait. We further hypothesized that algorithms trained on simulated-pathological gait would prove better at classifying abnormal activity.We studied healthy volunteers to assess whether activity classification accuracy differed for those with healthy and simulated-pathological conditions. Healthy participants (n=30) were recruited from the University of Leeds to perform nine predefined activities under healthy and simulated-pathological conditions. Activities were captured using a wrist-worn MOX accelerometer (Maastricht Instruments, NL). Data were analyzed based on the Activity-Recognition-Chain process. We trained a Neural-Network, Random-Forests, k-Nearest-Neighbors (k-NN), Support-Vector-Machines (SVM) and Naive Bayes models to classify activity. Algorithms were trained four times; once with 'healthy' data, and once with 'simulated-pathological data' for each of activity-type and activity-task classification. In activity-type instances, the SVM provided the best results; the accuracy was 98.4% when the algorithm was trained and then tested with unseen data from the same group of healthy individuals. Accuracy dropped to 52.8% when tested on simulated-pathological data. When the model was retrained with simulated-pathological data, prediction accuracy for the corresponding test set was 96.7%. Algorithms developed on healthy data are less accurate for pathological conditions. When evaluating pathological conditions, classifier algorithms developed using data from a target sub-population can restore accuracy to above 95%.Clinical Relevance - This method remotely establishes health-related data of objective outcome measures of activities of daily living
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