848 resultados para Back -- Muscles
Resumo:
OBJECTIVE: To examine the influence of beliefs about low back pain (LBP) on reduced productivity at work ("presenteeism") caused by LBP. METHODS: Two thousand five hundred seven individuals completed the Back Beliefs Questionnaire, the Fear Avoidance Beliefs questionnaire (FABQ), and questions about LBP-related work-absence, reduced work-productivity, pain, comorbidity, and demographics. RESULTS: Six hundred seventy (25%) individuals were of working age, employed and reported current LBP. Univariate models showed beliefs were more "negative" in individuals with work-absence and reduced productivity (P = 0.0001). In multivariable analysis, controlling for confounders, "FABQwork" was a unique predictor of both absenteeism and presenteeism (each, P = 0.0001), though with small effect sizes. CONCLUSIONS: Negative beliefs about LBP are associated with both work absence and reduced work-productivity. Further investigations should examine their potential as a target for educational interventions when considering initiatives to reduce the socioeconomic costs of LBP.
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OBJECTIVES: This study examined the course of low-back pain over 52 weeks following current pain at baseline. Initial beliefs about the inevitability of the pain's negative consequences and fear avoidance beliefs were examined as potential risk factors for persistent low-back pain. METHODS: On a weekly basis over a period of one year, 264 participants reported both the intensity and frequency of their low-back pain and the degree to which it impaired their work performance. In a multilevel regression analysis, predictor variables included initial low-back pain intensity, age, gender, body mass index, anxiety/depression, participation in sport, heavy workload, time (1-52 weeks), and scores on the "back beliefs" and "fear-avoidance beliefs" questionnaires. RESULTS: The group mean values for both the intensity and frequency of weekly low-back pain, and the impairment of work performance due to such pain showed a recovery within the first 12 weeks. In a multilevel regression of 9497 weekly measurements, greater weekly low-back pain and impairment were predicted by higher levels of work-related fear avoidance beliefs. A significant interaction between time and the scores on both the work-related fear-avoidance and back beliefs questionnaires indicated faster recovery and pain relief over time in those who reported less fear-avoidance and fewer negative beliefs. CONCLUSIONS: Negative beliefs about the inevitability of adverse consequences of low-back pain and work-related, fear-avoidance beliefs are independent risk factors for poor recovery from low-back pain.
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In this study the distribution of intramyocellular lipids (IMCL) in human calf muscles was determined by 1H-MR spectroscopic imaging (MRSI) measurements. An obstacle for MRSI measurements in the calf, including different muscles, is the inevitable inclusion of regions with high concentrations of extramyocellular lipids (EMCL). This can lead to signal bleeding and consequently to unpredictable overlaps of IMCL resonances with EMCL in voxels of interest. The results of this study show that signal bleeding from EMCL can be substantially reduced in voxels from calf muscles by the application of a lipid extrapolation (LE) procedure (Haupt et al., Magn Reson Med 1996;35:678). The spectra of all voxels located within muscle tissue were fitted, and the metabolite values were assigned to one of 10 different muscles based on image segmentation. Significant IMCL differences between some muscles were obtained, with high values in m. soleus and two to three times lower values in the tibialis anterior, tibialis posterior, and gastrocnemius muscles. In addition to gross differences between muscles, significant intersubject differences were observed in both IMCL content and distribution over different muscles. A significant correlation between fiber orientation (obtained from orientation-dependent dipolar coupling of creatine and taurine resonances) and IMCL content was found, indicating that IMCL content is directly correlated to biomechanical properties.
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Diagnostic pitfalls about a specific case of low back pain Low back pain is classified into two principle categories: specific and non specific. This difference is important in terms of screening, medical care and treatment. Specific low back pain has various etiologies that imply specific treatment. This report describes one case of rare specific low back pain. The purpose of this article is to highlight the pitfalls that can represent such a common pathology, to show that obtaining an early diagnosis can be challenging, and finally to prevent care providers from stereotypes related to low back pain management.
Resumo:
OBJECTIVE: To compare costs of function- and pain-centred inpatient treatment in patients with chronic low back pain over 3 years of follow-up. DESIGN: Cost analysis of a randomized controlled trial. PATIENTS: A total of 174 patients with chronic low back pain were randomized to function- or pain-centred inpatient treatment. METHODS: Data on direct and indirect costs were gathered by questionnaires sent to patients, health insurance providers, employers, and the Swiss Disability Insurance Company. RESULTS: There was a non-significant difference in total medical costs after 3 years' follow-up. Total costs were 77,305 Euros in the function-centred inpatient treatment group and 83,085 Euros in the pain-centred inpatient treatment group. Likewise, indirect costs after 3 years from lost work days were non-significantly lower in the function-centred in-patient treatment group (6354 Euros; 95% confidence interval -20,892, 8392) and direct medical costs were non-significantly higher in the function-centred inpatient treatment group (574 Euros; 95% confidence interval -862, 2011). CONCLUSION: The total costs of function-centred and pain-centred inpatient treatment were similar over the whole 3-year follow-up.
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Back-in-time debuggers are extremely useful tools for identifying the causes of bugs, as they allow us to inspect the past states of objects no longer present in the current execution stack. Unfortunately the "omniscient" approaches that try to remember all previous states are impractical because they either consume too much space or they are far too slow. Several approaches rely on heuristics to limit these penalties, but they ultimately end up throwing out too much relevant information. In this paper we propose a practical approach to back-in-time debugging that attempts to keep track of only the relevant past data. In contrast to other approaches, we keep object history information together with the regular objects in the application memory. Although seemingly counter-intuitive, this approach has the effect that past data that is not reachable from current application objects (and hence, no longer relevant) is automatically garbage collected. In this paper we describe the technical details of our approach, and we present benchmarks that demonstrate that memory consumption stays within practical bounds. Furthermore since our approach works at the virtual machine level, the performance penalty is significantly better than with other approaches.
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We report on our experiences with the Spy project, including implementation details and benchmark results. Spy is a re-implementation of the Squeak (i.e., Smalltalk-80) VM using the PyPy toolchain. The PyPy project allows code written in RPython, a subset of Python, to be translated to a multitude of different backends and architectures. During the translation, many aspects of the implementation can be independently tuned, such as the garbage collection algorithm or threading implementation. In this way, a whole host of interpreters can be derived from one abstract interpreter definition. Spy aims to bring these benefits to Squeak, allowing for greater portability and, eventually, improved performance. The current Spy codebase is able to run a small set of benchmarks that demonstrate performance superior to many similar Smalltalk VMs, but which still run slower than in Squeak itself. Spy was built from scratch over the course of a week during a joint Squeak-PyPy Sprint in Bern last autumn.
Resumo:
Conventional debugging tools present developers with means to explore the run-time context in which an error has occurred. In many cases this is enough to help the developer discover the faulty source code and correct it. However, rather often errors occur due to code that has executed in the past, leaving certain objects in an inconsistent state. The actual run-time error only occurs when these inconsistent objects are used later in the program. So-called back-in-time debuggers help developers step back through earlier states of the program and explore execution contexts not available to conventional debuggers. Nevertheless, even back-in-time debuggers do not help answer the question, ``Where did this object come from?'' The Object-Flow Virtual Machine, which we have proposed in previous work, tracks the flow of objects to answer precisely such questions, but this VM does not provide dedicated debugging support to explore faulty programs. In this paper we present a novel debugger, called Compass, to navigate between conventional run-time stack-oriented control flow views and object flows. Compass enables a developer to effectively navigate from an object contributing to an error back-in-time through all the code that has touched the object. We present the design and implementation of Compass, and we demonstrate how flow-centric, back-in-time debugging can be used to effectively locate the source of hard-to-find bugs.
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There is a plethora of criminological explanations why criminal violence increased during the three decades between the early 1960s and the early 1990s. This paper argues that most available interpretations are lacking in three respects: they lack a historical perspective that anchors the three critical decades in a wider understanding of long-term trends; they take the nation-state as their unit of analysis and disregard important commonalities across the Western world; and they pay insufficient attention to different trends in broad categories of physical violence.This paper therefore takes a macro-level and long-term perspective on violent crime, focussing on European homicide during the past 160 years. It demonstrates that the period of increase was preceded by a long-term decline and convergence of homicide rates from the 1840s to the 1950s. Also, it shows that both the decline and the increase primarily resulted from temporal variation in the likelihood of physical aggression between men in public space. It argues that explanations of these common trends need to take into account broad long-term cultural change common to Western societies. In particular, the paper suggests that shifts in culturally transmitted and institutionally embedded ideals of the conduct of life may provide an explanation for long-term change in levels of interpersonal violence.