991 resultados para Intelligence levels
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Regular physical activity has substantial health benefits, yet only a minority (approximately 21%) of the population in England achieve the minimum levels as recommended by the four home countries’ Chief Medical Officers, in their Start Active, Stay Active report HIPI has been developed to estimate how many cases of certain diseases could be prevented in each local authority in England, if the population aged 40-79 were to engage in recommended amounts of physical activity. This first release (March 2013) includes the following health impacts: preventable cases of diabetes (only shown for Counties and Unitary Authorities) preventable emergency admissions to hospital with a coronary heart disease preventable new cases of breast and colon cancer total number of preventable deaths (all causes). Users can select geographical areas from a map or list. The data is also provided in a downloadable excel spreadsheet. HIPI uses estimates of local levels of physical activity from the Sport England Active People survey. It models the potential benefit from increased levels of physical activity for each local authority. This is pre-calculated to show the health impacts if 100%, 75%, 50% or 25% of the local population undertake the UK Chief Medical Officers’ recommended levels of physical activity. Other assumptions and sources of data are described in the technical document.
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The aim of this survey was to provide a snap shot of the salt content of soup from a range of catering outlets on the island.
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Tuberculosis (TB) is a disease caused by Mycobacterium tuberculosis whose interaction with the host may lead to a cell-mediated protective immune response. The presence of interferon-g (IFN-gamma) is related to this response. With the purpose of understanding the immunological mechanisms involved in this protection, the lymphoproliferative response, IFN-g and other cytokines like interleukin (IL-5, IL-10), and tumor necrosis factor alpha (TNF-a) were evaluated before and after the use of anti-TB drugs on 30 patients with active TB disease, 24 healthy household contacts of active TB patients, with positive purified protein derivative (PPD) skin tests (induration > 10 mm), and 34 asymptomatic individuals with negative PPD skin test results (induration < 5 mm). The positive lymphoproliferative response among peripheral blood mononuclear cells of patients showed high levels of IFN-g, TNF-a, and IL-10. No significant levels of IL-5 were detected. After treatment with rifampicina, isoniazida, and pirazinamida, only the levels of IFN-g increased significantly (p < 0.01). These results highlight the need for further evaluation of IFN-g production as a healing prognostic of patients treated.
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This study focuses on methylamphetamine (MA) seizures made by the Australian Federal Police (AFP) to investigate the use of chemical profiling in an intelligence perspective. Correlation coefficients were used to obtain a similarity degree between a population of linked samples and a population of unlinked samples. Although it was demonstrated that a general framework can be followed for the use of any forensic case data in an intelligence-led perspective, threshold values have to be re-evaluated for each type of illicit drug investigated. Unlike the results obtained in a previous study on 3,4-methylenedioxymethylamphetamine (MDMA) seizures, chemical profiles of MA samples coming from the same seizure showed relative inhomogeneity, limiting their ability to link seizures. Different hypotheses were investigated to obtain a better understanding of this inhomogeneity although no trend was observed. These findings raise an interesting discussion in regards to the homogeneity and representativeness of illicit drug seizures (for intelligence purposes). Further, it also provides some grounds to discuss the initial hypotheses and assumptions that most forensic science studies are based on.
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BACKGROUND AND OBJECTIVES: Population-based data on urinary calcium excretion are scarce. The association of serum calcium and circulating levels of vitamin D [25(OH)D2 or D3] with urinary calcium excretion in men and women from a population-based study was explored. DESIGN, SETTINGS, PARTICIPANTS, & MEASUREMENTS: Multivariable linear regression was used to explore factors associated with square root-transformed 24-hour urinary calcium excretion (milligrams per 24 hours) taken as the dependent variable with a focus on month-specific vitamin D tertiles and serum calcium in the Swiss Survey on Salt Study. RESULTS: In total, 624 men and 669 women were studied with mean ages of 49.2 and 47.0 years, respectively (age range=15-95 years). Mean urinary calcium excretion was higher in men than in women (183.05 versus 144.60 mg/24 h; P<0.001). In adjusted models, the association (95% confidence interval) of square root urinary calcium excretion with protein-corrected serum calcium was 1.78 (95% confidence interval, 1.21 to 2.34) mg/24 h per milligram per deciliter in women and 0.59 (95% confidence interval, -0.11 to 1.29) mg/24 h per milligram per deciliter in men. Men in the third 25(OH)D3 tertile had higher square root urinary calcium excretion than men in the first tertile (0.99; 95% confidence interval, 0.36 to 1.63 mg/24 h per nanogram per milliliter), and the corresponding association was 0.32 (95% confidence interval, -0.22 to 0.85) mg/24 h per nanogram per milliliter in women. These sex differences were more marked under conditions of high urinary sodium or urea excretions. CONCLUSIONS: There was a positive association of serum calcium with urinary calcium excretion in women but not men. Vitamin 25(OH)D3 was associated with urinary calcium excretion in men but not women. These results suggest important sex differences in the hormonal and dietary control of urinary calcium excretion.
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Background: The imatinib trough plasma concentration (C(min)) correlates with clinical response in cancer patients. Therapeutic drug monitoring (TDM) of plasma C(min) is therefore suggested. In practice, however, blood sampling for TDM is often not performed at trough. The corresponding measurement is thus only remotely informative about C(min) exposure. Objectives: The objectives of this study were to improve the interpretation of randomly measured concentrations by using a Bayesian approach for the prediction of C(min), incorporating correlation between pharmacokinetic parameters, and to compare the predictive performance of this method with alternative approaches, by comparing predictions with actual measured trough levels, and with predictions obtained by a reference method, respectively. Methods: A Bayesian maximum a posteriori (MAP) estimation method accounting for correlation (MAP-ρ) between pharmacokinetic parameters was developed on the basis of a population pharmacokinetic model, which was validated on external data. Thirty-one paired random and trough levels, observed in gastrointestinal stromal tumour patients, were then used for the evaluation of the Bayesian MAP-ρ method: individual C(min) predictions, derived from single random observations, were compared with actual measured trough levels for assessment of predictive performance (accuracy and precision). The method was also compared with alternative approaches: classical Bayesian MAP estimation assuming uncorrelated pharmacokinetic parameters, linear extrapolation along the typical elimination constant of imatinib, and non-linear mixed-effects modelling (NONMEM) first-order conditional estimation (FOCE) with interaction. Predictions of all methods were finally compared with 'best-possible' predictions obtained by a reference method (NONMEM FOCE, using both random and trough observations for individual C(min) prediction). Results: The developed Bayesian MAP-ρ method accounting for correlation between pharmacokinetic parameters allowed non-biased prediction of imatinib C(min) with a precision of ±30.7%. This predictive performance was similar for the alternative methods that were applied. The range of relative prediction errors was, however, smallest for the Bayesian MAP-ρ method and largest for the linear extrapolation method. When compared with the reference method, predictive performance was comparable for all methods. The time interval between random and trough sampling did not influence the precision of Bayesian MAP-ρ predictions. Conclusion: Clinical interpretation of randomly measured imatinib plasma concentrations can be assisted by Bayesian TDM. Classical Bayesian MAP estimation can be applied even without consideration of the correlation between pharmacokinetic parameters. Individual C(min) predictions are expected to vary less through Bayesian TDM than linear extrapolation. Bayesian TDM could be developed in the future for other targeted anticancer drugs and for the prediction of other pharmacokinetic parameters that have been correlated with clinical outcomes.
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This guidance is aimed at those responsible for helping people to change their behaviour to improve their health. This includes policy makers and those working in local authorities and the community and voluntary sectors. It gives advice on how to plan and run relevant initiatives. The recommendations include the following advice: base interventions on a proper assessment of the target group, where they are located and the behaviour which is to be changed: careful planning is the cornerstone of success work with other organisations and the community itself to decide on and develop initiatives build on the skills and knowledge that already exists in the community, for example, by encouraging networks of people who can support each other take account of and resolve problems that prevent people changing their behaviour (for example, the costs involved in taking part in exercise programmes or buying fresh fruit and vegetables, or lack of knowledge about how to make changes) base all interventions on evidence of what works train staff to help people change their behaviour evaluate all interventions.This resource was contributed by The National Documentation Centre on Drug Use.
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Background/Introduction: ln Switzerland, most trends in overweight and obesity levels have been assessed using reported data, a methodology which is prone to reporting bias. ln this study, we aimed at assessing trends in overweight and obesity levels using objectively measured data. Methods: We used independent cross-sectional data collected between 2005 and 2011 by the Bus Santé study on representative samples of the Geneva population. Trends were assessed overall and according to different characteristics of the participants. Overweight and obesity were defined as a body mass index (BMI) between 25 and 29.9 kg/m2 and >=30 kg/m2, respectively. Results: Data from 4093 participants (2012 men) was assessed. Mean BMI was 25.2 ± 4.3 kg/m2 (mean ±standard deviation) in 2005 and 25.4 ± 4.3 in 2011 (p for trend using linear regression=0.98). For men, mean BMI was 26.3 ± 3.8 kg/m2 in 2005 and 26.1 ± 3.7 in 2011 (p for trend=0.37); for women, the corresponding values were 24.3 ± 4.6 and 24.7 ± 4.7 kg/m2 (p for trend=0.42). Overall prevalence of overweight and obesity was 32.2% and 13.3%, respectively, in 2005 and 33.6% and 13.7% in 2011 (p for trend using polytomous logistic regression adjusting for gender, age and smoking=0.49 and 0.94 for overweight and obesity, respectively). For men, prevalence of overweight and obesity was 45.9% and 12.2% in 2005 and 42.1 % and 14.6% in 2011 (P for trend=0.03 for overweight and 0.81 for obesity); for women, the corresponding values were 20.4% and 14.2% in 2005 and 25.4% and 12.9% in 2011 (p for trend=0.13 for overweight and 0.99 for obesity). Conclusion: Overweight and obesity levels appear to have levelled in Geneva, with a possible decrease in overweight levels in men. These favorable findings should be replicated in other geographical locations.
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Presentation from Jon Cox (Norfolk PCT) at the May 2007 Public Health Information and Intelligence forum
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One of the commitments given in the Choosing Health white paper was to develop and implement a comprehensive public health information and intelligence strategy. This work was led by a specially constituted Task Force and informed by extensive public and professional consultation conducted in 2006. The resulting strategy sets out an approach that will strengthen health information and intelligence resources across England.This document reports on the results of consultation on the strategy.
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Type I diabetes mellitus (insulin-dependent DM = IDDM) is a chronic disease characterized by specific destruction of pancreatic beta cells, resulting in an absolute lack of insulin. Immune mechanisms, genetic susceptibility, and environmental factors are all implicated in the pathogenesis of Type 1 diabetes. This study was aimed at determining the efficiency of cytokines, natural killer (NK) cells in the pathophysiology of IDDM. Therefore, we evaluated the plasma levels of cytokines by specific enzyme-linked immunosorbent assay (ELISA) and the cytotoxicity activity of NK cells by anti-candididal index in rats with type I diabetes. We found that the cytotoxicity activity of NK cells in IDDM groups significantly decreased compared to the control groups. The levels of interferon-g (IFN-g) in IDDM groups were slightly higher than in healthy controls. These results indicate that the changes of T H1 type cytokines such as IFN-g and NK cell activity can play a role in the etiology of IDDM. The data may provide new strategies for the treatment of IDDM.
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Chronic disorders, such as obesity, diabetes, inflammation, non-alcoholic fatty liver disease and atherosclerosis, are related to alterations in lipid and glucose metabolism, in which peroxisome proliferator-activated receptors (PPAR)α, PPARβ/δ and PPARγ are involved. These receptors form a subgroup of ligand-activated transcription factors that belong to the nuclear hormone receptor family. This review discusses a selection of novel PPAR functions identified during the last few years. The PPARs regulate processes that are essential for the maintenance of pregnancy and embryonic development. Newly found hepatic functions of PPARα are the mediation of female-specific gene repression and the protection of the liver from oestrogen induced toxicity. PPARα also controls lipid catabolism and is the target of hypolipidaemic drugs, whereas PPARγ controls adipocyte differentiation and regulates lipid storage; it is the target for the insulin sensitising thiazolidinediones used to treat type 2 diabetes. Activation of PPARβ/δ increases lipid catabolism in skeletal muscle, the heart and adipose tissue. In addition, PPARβ/δ ligands prevent weight gain and suppress macrophage derived inflammation. In fact, therapeutic benefits of PPAR ligands have been confirmed in inflammatory and autoimmune diseases, such as encephalomyelitis and inflammatory bowel disease. Furthermore, PPARs promote skin wound repair. PPARα favours skin healing during the inflammatory phase that follows injury, whilst PPARβ/δ enhances keratinocyte survival and migration. Due to their collective functions in skin, PPARs represent a major research target for our understanding of many skin diseases. Taken altogether, these functions suggest that PPARs serve as physiological sensors in different stress situations and remain valuable targets for innovative therapies.