65 research outputs found

    Fat intake and injury in female runners

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    <p>Abstract</p> <p>Background</p> <p>Our purpose was to determine the relationship between energy intake, energy availability, dietary fat and lower extremity injury in adult female runners. We hypothesized that runners who develop overuse running-related injuries have lower energy intakes, lower energy availability and lower fat intake compared to non-injured runners.</p> <p>Methods</p> <p>Eighty-six female subjects, running a minimum of 20 miles/week, completed a food frequency questionnaire and informed us about injury incidence over the next year.</p> <p>Results</p> <p>Injured runners had significantly lower intakes of total fat (63 ± 20 vs. 80 ± 50 g/d) and percentage of kilocalories from fat (27 ± 5 vs. 30 ± 8 %) compared with non-injured runners. A logistic regression analysis found that fat intake was the best dietary predictor, correctly identifying 64% of future injuries. Lower energy intake and lower energy availability approached, but did not reach, a significant association with overuse injury in this study.</p> <p>Conclusion</p> <p>Fat intake is likely associated with injury risk in female runners. By documenting these associations, better strategies can be developed to reduce running injuries in women.</p

    In silico approaches to study mass and energy flows in microbial consortia: a syntrophic case study

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    <p>Abstract</p> <p>Background</p> <p>Three methods were developed for the application of stoichiometry-based network analysis approaches including elementary mode analysis to the study of mass and energy flows in microbial communities. Each has distinct advantages and disadvantages suitable for analyzing systems with different degrees of complexity and <it>a priori </it>knowledge. These approaches were tested and compared using data from the thermophilic, phototrophic mat communities from Octopus and Mushroom Springs in Yellowstone National Park (USA). The models were based on three distinct microbial guilds: oxygenic phototrophs, filamentous anoxygenic phototrophs, and sulfate-reducing bacteria. Two phases, day and night, were modeled to account for differences in the sources of mass and energy and the routes available for their exchange.</p> <p>Results</p> <p>The <it>in silico </it>models were used to explore fundamental questions in ecology including the prediction of and explanation for measured relative abundances of primary producers in the mat, theoretical tradeoffs between overall productivity and the generation of toxic by-products, and the relative robustness of various guild interactions.</p> <p>Conclusion</p> <p>The three modeling approaches represent a flexible toolbox for creating cellular metabolic networks to study microbial communities on scales ranging from cells to ecosystems. A comparison of the three methods highlights considerations for selecting the one most appropriate for a given microbial system. For instance, communities represented only by metagenomic data can be modeled using the pooled method which analyzes a community's total metabolic potential without attempting to partition enzymes to different organisms. Systems with extensive <it>a priori </it>information on microbial guilds can be represented using the compartmentalized technique, employing distinct control volumes to separate guild-appropriate enzymes and metabolites. If the complexity of a compartmentalized network creates an unacceptable computational burden, the nested analysis approach permits greater scalability at the cost of more user intervention through multiple rounds of pathway analysis.</p

    The Policy Choices and Reaction Functions of Bank of England MPC Members

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    The results of an econometric exercise are presented, showing that Monetary Policy Committee (MPC) members appointed from outside the ranks of Bank of England staff (outsiders) react differently to forecasts of inflation and output than those appointed from within the Bank (insiders). All results are reinforced by the well-established findings that, compared with outsiders, insiders choose higher interest rates, are more likely to vote as a bloc, and feature on the winning side of policy decisions more frequently. On the basis of these results, it is argued that the current MPC framework is biased toward the policy choices of insiders
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