299 resultados para Trimmed likelihood
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BACKGROUND: No previous studies have explored how closely women follow their psychotropic drug regimens during pregnancy. This study aimed to explore patterns of and factors associated with low adherence to psychotropic medication during pregnancy. METHODS: Multinational web-based study was performed in 18 countries in Europe, North America, and Australia. Uniform data collection was ensured via an electronic questionnaire. Pregnant women were eligible to participate. Adherence was measured via the 8-item Morisky Medication Adherence Scale (MMAS-8). The Beliefs about Prescribed Medicines Questionnaire (BMQ-specific), the Edinburgh Postnatal Depression Scale (EPDS), and a numeric rating scale were utilized to measure women's beliefs, depressive symptoms, and antidepressant risk perception, respectively. Participants reporting use of psychotropic medication during pregnancy (n = 160) were included in the analysis. RESULTS: On the basis of the MMAS-8, 78 of 160 women (48.8%, 95% CI: 41.1-56.4%) demonstrated low adherence during pregnancy. The rates of low adherence were 51.3% for medication for anxiety, 47.2% for depression, and 42.9% for other psychiatric disorders. Smoking during pregnancy, elevated antidepressant risk perception (risk≥6), and depressive symptoms were associated with a significant 3.9-, 2.3-, and 2.5-fold increased likelihood of low medication adherence, respectively. Women on psychotropic polytherapy were less likely to demonstrate low adherence. The belief that the benefit of pharmacotherapy outweighed the risks positively correlated (r = .282) with higher medication adherence. CONCLUSIONS: Approximately one of two pregnant women using psychotropic medication demonstrated low adherence in pregnancy. Life-style factors, risk perception, depressive symptoms, and individual beliefs are important factors related to adherence to psychotropic medication in pregnancy.
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BACKGROUND: Pneumonia is the biggest cause of deaths in young children in developing countries, but early diagnosis and intervention can effectively reduce mortality. We aimed to assess the diagnostic value of clinical signs and symptoms to identify radiological pneumonia in children younger than 5 years and to review the accuracy of WHO criteria for diagnosis of clinical pneumonia. METHODS: We searched Medline (PubMed), Embase (Ovid), the Cochrane Database of Systematic Reviews, and reference lists of relevant studies, without date restrictions, to identify articles assessing clinical predictors of radiological pneumonia in children. Selection was based on: design (diagnostic accuracy studies), target disease (pneumonia), participants (children aged <5 years), setting (ambulatory or hospital care), index test (clinical features), and reference standard (chest radiography). Quality assessment was based on the 2011 Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) criteria. For each index test, we calculated sensitivity and specificity and, when the tests were assessed in four or more studies, calculated pooled estimates with use of bivariate model and hierarchical summary receiver operation characteristics plots for meta-analysis. FINDINGS: We included 18 articles in our analysis. WHO-approved signs age-related fast breathing (six studies; pooled sensitivity 0·62, 95% CI 0·26-0·89; specificity 0·59, 0·29-0·84) and lower chest wall indrawing (four studies; 0·48, 0·16-0·82; 0·72, 0·47-0·89) showed poor diagnostic performance in the meta-analysis. Features with the highest pooled positive likelihood ratios were respiratory rate higher than 50 breaths per min (1·90, 1·45-2·48), grunting (1·78, 1·10-2·88), chest indrawing (1·76, 0·86-3·58), and nasal flaring (1·75, 1·20-2·56). Features with the lowest pooled negative likelihood ratio were cough (0·30, 0·09-0·96), history of fever (0·53, 0·41-0·69), and respiratory rate higher than 40 breaths per min (0·43, 0·23-0·83). INTERPRETATION: Not one clinical feature was sufficient to diagnose pneumonia definitively. Combination of clinical features in a decision tree might improve diagnostic performance, but the addition of new point-of-care tests for diagnosis of bacterial pneumonia would help to attain an acceptable level of accuracy. FUNDING: Swiss National Science Foundation.
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Given the cost constraints of the European health-care systems, criteria are needed to decide which genetic services to fund from the public budgets, if not all can be covered. To ensure that high-priority services are available equitably within and across the European countries, a shared set of prioritization criteria would be desirable. A decision process following the accountability for reasonableness framework was undertaken, including a multidisciplinary EuroGentest/PPPC-ESHG workshop to develop shared prioritization criteria. Resources are currently too limited to fund all the beneficial genetic testing services available in the next decade. Ethically and economically reflected prioritization criteria are needed. Prioritization should be based on considerations of medical benefit, health need and costs. Medical benefit includes evidence of benefit in terms of clinical benefit, benefit of information for important life decisions, benefit for other people apart from the person tested and the patient-specific likelihood of being affected by the condition tested for. It may be subject to a finite time window. Health need includes the severity of the condition tested for and its progression at the time of testing. Further discussion and better evidence is needed before clearly defined recommendations can be made or a prioritization algorithm proposed. To our knowledge, this is the first time a clinical society has initiated a decision process about health-care prioritization on a European level, following the principles of accountability for reasonableness. We provide points to consider to stimulate this debate across the EU and to serve as a reference for improving patient management.
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This thesis is composed of three main parts. The first consists of a state of the art of the different notions that are significant to understand the elements surrounding art authentication in general, and of signatures in particular, and that the author deemed them necessary to fully grasp the microcosm that makes up this particular market. Individuals with a solid knowledge of the art and expertise area, and that are particularly interested in the present study are advised to advance directly to the fourth Chapter. The expertise of the signature, it's reliability, and the factors impacting the expert's conclusions are brought forward. The final aim of the state of the art is to offer a general list of recommendations based on an exhaustive review of the current literature and given in light of all of the exposed issues. These guidelines are specifically formulated for the expertise of signatures on paintings, but can also be applied to wider themes in the area of signature examination. The second part of this thesis covers the experimental stages of the research. It consists of the method developed to authenticate painted signatures on works of art. This method is articulated around several main objectives: defining measurable features on painted signatures and defining their relevance in order to establish the separation capacities between groups of authentic and simulated signatures. For the first time, numerical analyses of painted signatures have been obtained and are used to attribute their authorship to given artists. An in-depth discussion of the developed method constitutes the third and final part of this study. It evaluates the opportunities and constraints when applied by signature and handwriting experts in forensic science. A brief summary covering each chapter allows a rapid overview of the study and summarizes the aims and main themes of each chapter. These outlines presented below summarize the aims and main themes addressed in each chapter. Part I - Theory Chapter 1 exposes legal aspects surrounding the authentication of works of art by art experts. The definition of what is legally authentic, the quality and types of the experts that can express an opinion concerning the authorship of a specific painting, and standard deontological rules are addressed. The practices applied in Switzerland will be specifically dealt with. Chapter 2 presents an overview of the different scientific analyses that can be carried out on paintings (from the canvas to the top coat). Scientific examinations of works of art have become more common, as more and more museums equip themselves with laboratories, thus an understanding of their role in the art authentication process is vital. The added value that a signature expertise can have in comparison to other scientific techniques is also addressed. Chapter 3 provides a historical overview of the signature on paintings throughout the ages, in order to offer the reader an understanding of the origin of the signature on works of art and its evolution through time. An explanation is given on the transitions that the signature went through from the 15th century on and how it progressively took on its widely known modern form. Both this chapter and chapter 2 are presented to show the reader the rich sources of information that can be provided to describe a painting, and how the signature is one of these sources. Chapter 4 focuses on the different hypotheses the FHE must keep in mind when examining a painted signature, since a number of scenarios can be encountered when dealing with signatures on works of art. The different forms of signatures, as well as the variables that may have an influence on the painted signatures, are also presented. Finally, the current state of knowledge of the examination procedure of signatures in forensic science in general, and in particular for painted signatures, is exposed. The state of the art of the assessment of the authorship of signatures on paintings is established and discussed in light of the theoretical facets mentioned previously. Chapter 5 considers key elements that can have an impact on the FHE during his or her2 examinations. This includes a discussion on elements such as the skill, confidence and competence of an expert, as well as the potential bias effects he might encounter. A better understanding of elements surrounding handwriting examinations, to, in turn, better communicate results and conclusions to an audience, is also undertaken. Chapter 6 reviews the judicial acceptance of signature analysis in Courts and closes the state of the art section of this thesis. This chapter brings forward the current issues pertaining to the appreciation of this expertise by the non- forensic community, and will discuss the increasing number of claims of the unscientific nature of signature authentication. The necessity to aim for more scientific, comprehensive and transparent authentication methods will be discussed. The theoretical part of this thesis is concluded by a series of general recommendations for forensic handwriting examiners in forensic science, specifically for the expertise of signatures on paintings. These recommendations stem from the exhaustive review of the literature and the issues exposed from this review and can also be applied to the traditional examination of signatures (on paper). Part II - Experimental part Chapter 7 describes and defines the sampling, extraction and analysis phases of the research. The sampling stage of artists' signatures and their respective simulations are presented, followed by the steps that were undertaken to extract and determine sets of characteristics, specific to each artist, that describe their signatures. The method is based on a study of five artists and a group of individuals acting as forgers for the sake of this study. Finally, the analysis procedure of these characteristics to assess of the strength of evidence, and based on a Bayesian reasoning process, is presented. Chapter 8 outlines the results concerning both the artist and simulation corpuses after their optical observation, followed by the results of the analysis phase of the research. The feature selection process and the likelihood ratio evaluation are the main themes that are addressed. The discrimination power between both corpuses is illustrated through multivariate analysis. Part III - Discussion Chapter 9 discusses the materials, the methods, and the obtained results of the research. The opportunities, but also constraints and limits, of the developed method are exposed. Future works that can be carried out subsequent to the results of the study are also presented. Chapter 10, the last chapter of this thesis, proposes a strategy to incorporate the model developed in the last chapters into the traditional signature expertise procedures. Thus, the strength of this expertise is discussed in conjunction with the traditional conclusions reached by forensic handwriting examiners in forensic science. Finally, this chapter summarizes and advocates a list of formal recommendations for good practices for handwriting examiners. In conclusion, the research highlights the interdisciplinary aspect of signature examination of signatures on paintings. The current state of knowledge of the judicial quality of art experts, along with the scientific and historical analysis of paintings and signatures, are overviewed to give the reader a feel of the different factors that have an impact on this particular subject. The temperamental acceptance of forensic signature analysis in court, also presented in the state of the art, explicitly demonstrates the necessity of a better recognition of signature expertise by courts of law. This general acceptance, however, can only be achieved by producing high quality results through a well-defined examination process. This research offers an original approach to attribute a painted signature to a certain artist: for the first time, a probabilistic model used to measure the discriminative potential between authentic and simulated painted signatures is studied. The opportunities and limits that lie within this method of scientifically establishing the authorship of signatures on works of art are thus presented. In addition, the second key contribution of this work proposes a procedure to combine the developed method into that used traditionally signature experts in forensic science. Such an implementation into the holistic traditional signature examination casework is a large step providing the forensic, judicial and art communities with a solid-based reasoning framework for the examination of signatures on paintings. The framework and preliminary results associated with this research have been published (Montani, 2009a) and presented at international forensic science conferences (Montani, 2009b; Montani, 2012).
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Probabilistic inversion methods based on Markov chain Monte Carlo (MCMC) simulation are well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet, application of such methods to CPU-intensive forward models can be a daunting task, particularly if the parameter space is high dimensional. Here, we present a 2-D pixel-based MCMC inversion of plane-wave electromagnetic (EM) data. Using synthetic data, we investigate how model parameter uncertainty depends on model structure constraints using different norms of the likelihood function and the model constraints, and study the added benefits of joint inversion of EM and electrical resistivity tomography (ERT) data. Our results demonstrate that model structure constraints are necessary to stabilize the MCMC inversion results of a highly discretized model. These constraints decrease model parameter uncertainty and facilitate model interpretation. A drawback is that these constraints may lead to posterior distributions that do not fully include the true underlying model, because some of its features exhibit a low sensitivity to the EM data, and hence are difficult to resolve. This problem can be partly mitigated if the plane-wave EM data is augmented with ERT observations. The hierarchical Bayesian inverse formulation introduced and used herein is able to successfully recover the probabilistic properties of the measurement data errors and a model regularization weight. Application of the proposed inversion methodology to field data from an aquifer demonstrates that the posterior mean model realization is very similar to that derived from a deterministic inversion with similar model constraints.
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Engineered nanomaterials (ENMs) exhibit special physicochemical properties and thus are finding their way into an increasing number of industries, enabling products with improved properties. Their increased use brings a greater likelihood of exposure to the nanoparticles (NPs) that could be released during the life cycle of nano-abled products. The field of nanotoxicology has emerged as a consequence of the development of these novel materials, and it has gained ever more attention due to the urgent need to gather information on exposure to them and to understand the potential hazards they engender. However, current studies on nanotoxicity tend to focus on pristine ENMs, and they use these toxicity results to generalize risk assessments on human exposure to NPs. ENMs released into the environment can interact with their surroundings, change characteristics and exhibit toxicity effects distinct from those of pristine ENMs. Furthermore, NPs' large surface areas provide extra-large potential interfaces, thus promoting more significant interactions between NPs and other co-existing species. In such processes, other species can attach to a NP's surface and modify its surface functionality, in addition to the toxicity in normally exhibits. One particular occupational health scenario involves NPs and low-volatile organic compounds (LVOC), a common type of pollutant existing around many potential sources of NPs. LVOC can coat a NP's surface and then dominate its toxicity. One important mechanism in nanotoxicology is the creation of reactive oxygen species (ROS) on a NP's surface; LVOC can modify the production of these ROS. In summary, nanotoxicity research should not be limited to the toxicity of pristine NPs, nor use their toxicity to evaluate the health effects of exposure to environmental NPs. Instead, the interactions which NPs have with other environmental species should also be considered and researched. The potential health effects of exposure to NPs should be derived from these real world NPs with characteristics modified by the environment and their distinct toxicity. Failure to suitably address toxicity results could lead to an inappropriate treatment of nano- release, affect the environment and public health and put a blemish on the development of sustainable nanotechnologies as a whole. The main objective of this thesis is to demonstrate a process for coating NP surfaces with LVOC using a well-controlled laboratory design and, with regard to these NPs' capacity to generate ROS, explore the consequences of changing particle toxicity. The dynamic coating system developed yielded stable and replicable coating performance, simulating an important realistic scenario. Clear changes in the size distribution of airborne NPs were observed using a scanning mobility particle sizer, were confirmed using both liquid nanotracking analyses and transmission electron microscopy (TEM) imaging, and were verified thanks to the LVOC coating. Coating thicknesses corresponded to the amount of coating material used and were controlled using the parameters of the LVOC generator. The capacity of pristine silver NPs (Ag NPs) to generate ROS was reduced when they were given a passive coating of inert paraffin: this coating blocked the reactive zones on the particle surfaces. In contrast, a coating of active reduced-anthraquinone contributed to redox reactions and generated ROS itself, despite the fact that ROS generation due to oxidation by Ag NPs themselves was quenched. Further objectives of this thesis included development of ROS methodology and the analysis of ROS case studies. Since the capacity of NPs to create ROS is an important effect in nanotoxicity, we attempted to refine and standardize the use of 2'7-dichlorodihydrofluorescin (DCFH) as a chemical tailored for the characterization of NPs' capacity for ROS generation. Previous studies had reported a wide variety of results, which were due to a number of insufficiently well controlled factors. We therefore cross-compared chemicals and concentrations, explored ways of dispersing NP samples in liquid solutions, identified sources of contradictions in the literature and investigated ways of reducing artificial results. The most robust results were obtained by sonicating an optimal sample of NPs in a DCFH-HRP solution made of 5,M DCFH and 0.5 unit/ml horseradish peroxidase (HRP). Our findings explained how the major reasons for previously conflicting results were the different experimental approaches used and the potential artifacts appearing when using high sample concentrations. Applying our advanced DCFH protocol with other physicochemical characterizations and biological analyses, we conducted several case studies, characterizing aerosols and NP samples. Exposure to aged brake wear dust engenders a risk of potential deleterious health effects in occupational scenarios. We performed microscopy and elemental analyses, as well as ROS measurements, with acellular and cellular DCFH assays. TEM images revealed samples to be heterogeneous mixtures with few particles in the nano-scale. Metallic and non-metallic elements were identified, primarily iron, carbon and oxygen. Moderate amounts of ROS were detected in the cell-free fluorescent tests; however, exposed cells were not dramatically activated. In addition to their highly aged state due to oxidation, the reason aged brake wear samples caused less oxidative stress than fresh brake wear samples may be because of their larger size and thus smaller relative reactive surface area. Other case studies involving welding fumes and differently charged NPs confirmed the performance of our DCFH assay and found ROS generation linked to varying characteristics, especially the surface functionality of the samples. Les nanomatériaux manufacturés (ENM) présentent des propriétés physico-chimiques particulières et ont donc trouvés des applications dans un nombre croissant de secteurs, permettant de réaliser des produits ayant des propriétés améliorées. Leur utilisation accrue engendre un plus grand risque pour les êtres humains d'être exposés à des nanoparticules (NP) qui sont libérées au long de leur cycle de vie. En conséquence, la nanotoxicologie a émergé et gagné de plus en plus d'attention dû à la nécessité de recueillir les renseignements nécessaires sur l'exposition et les risques associés à ces nouveaux matériaux. Cependant, les études actuelles sur la nanotoxicité ont tendance à se concentrer sur les ENM et utiliser ces résultats toxicologiques pour généraliser l'évaluation des risques sur l'exposition humaine aux NP. Les ENM libérés dans l'environnement peuvent interagir avec l'environnement, changeant leurs caractéristiques, et montrer des effets de toxicité distincts par rapport aux ENM originaux. Par ailleurs, la grande surface des NP fournit une grande interface avec l'extérieur, favorisant les interactions entre les NP et les autres espèces présentes. Dans ce processus, d'autres espèces peuvent s'attacher à la surface des NP et modifier leur fonctionnalité de surface ainsi que leur toxicité. Un scénario d'exposition professionnel particulier implique à la fois des NP et des composés organiques peu volatils (LVOC), un type commun de polluant associé à de nombreuses sources de NP. Les LVOC peuvent se déposer sur la surface des NP et donc dominer la toxicité globale de la particule. Un mécanisme important en nanotoxicologie est la création d'espèces réactives d'oxygène (ROS) sur la surface des particules, et les LVOC peuvent modifier cette production de ROS. En résumé, la recherche en nanotoxicité ne devrait pas être limitée à la toxicité des ENM originaux, ni utiliser leur toxicité pour évaluer les effets sur la santé de l'exposition aux NP de l'environnement; mais les interactions que les NP ont avec d'autres espèces environnementales doivent être envisagées et étudiées. Les effets possibles sur la santé de l'exposition aux NP devraient être dérivés de ces NP aux caractéristiques modifiées et à la toxicité distincte. L'utilisation de résultats de toxicité inappropriés peut conduire à une mauvaise prise en charge de l'exposition aux NP, de détériorer l'environnement et la santé publique et d'entraver le développement durable des industries de la nanotechnologie dans leur ensemble. L'objectif principal de cette thèse est de démontrer le processus de déposition des LVOC sur la surface des NP en utilisant un environnement de laboratoire bien contrôlé et d'explorer les conséquences du changement de toxicité des particules sur leur capacité à générer des ROS. Le système de déposition dynamique développé a abouti à des performances de revêtement stables et reproductibles, en simulant des scénarios réalistes importants. Des changements clairs dans la distribution de taille des NP en suspension ont été observés par spectrométrie de mobilité électrique des particules, confirmé à la fois par la méthode dite liquid nanotracking analysis et par microscopie électronique à transmission (MET), et a été vérifié comme provenant du revêtement par LVOC. La correspondance entre l'épaisseur de revêtement et la quantité de matériau de revêtement disponible a été démontré et a pu être contrôlé par les paramètres du générateur de LVOC. La génération de ROS dû aux NP d'argent (Ag NP) a été diminuée par un revêtement passif de paraffine inerte bloquant les zones réactives à la surface des particules. Au contraire, le revêtement actif d'anthraquinone réduit a contribué aux réactions redox et a généré des ROS, même lorsque la production de ROS par oxydation des Ag NP avec l'oxygène a été désactivé. Les objectifs associés comprennent le développement de la méthodologie et des études de cas spécifique aux ROS. Etant donné que la capacité des NP à générer des ROS contribue grandement à la nanotoxicité, nous avons tenté de définir un standard pour l'utilisation de 27- dichlorodihydrofluorescine (DCFH) adapté pour caractériser la génération de ROS par les NP. Des etudes antérieures ont rapporté une grande variété de résultats différents, ce qui était dû à un contrôle insuffisant des plusieurs facteurs. Nous avons donc comparé les produits chimiques et les concentrations utilisés, exploré les moyens de dispersion des échantillons HP en solution liquide, investigué les sources de conflits identifiées dans les littératures et étudié les moyens de réduire les résultats artificiels. De très bon résultats ont été obtenus par sonication d'une quantité optimale d'échantillons de NP en solution dans du DCFH-HRP, fait de 5 nM de DCFH et de 0,5 unité/ml de Peroxydase de raifort (HRP). Notre étude a démontré que les principales raisons causant les conflits entre les études précédemment conduites dans la littérature étaient dues aux différentes approches expérimentales et à des artefacts potentiels dus à des concentrations élevées de NP dans les échantillons. Utilisant notre protocole DCFH avancé avec d'autres caractérisations physico-chimiques et analyses biologiques, nous avons mené plusieurs études de cas, caractérisant les échantillons d'aérosols et les NP. La vielle poussière de frein en particulier présente un risque élevé d'exposition dans les scénarios professionnels, avec des effets potentiels néfastes sur la santé. Nous avons effectué des analyses d'éléments et de microscopie ainsi que la mesure de ROS avec DCFH cellulaire et acellulaire. Les résultats de MET ont révélé que les échantillons se présentent sous la forme de mélanges de particules hétérogènes, desquels une faible proportion se trouve dans l'échelle nano. Des éléments métalliques et non métalliques ont été identifiés, principalement du fer, du carbone et de l'oxygène. Une quantité modérée de ROS a été détectée dans le test fluorescent acellulaire; cependant les cellules exposées n'ont pas été très fortement activées. La raison pour laquelle les échantillons de vielle poussière de frein causent un stress oxydatif inférieur par rapport à la poussière de frein nouvelle peut-être à cause de leur plus grande taille engendrant une surface réactive proportionnellement plus petite, ainsi que leur état d'oxydation avancé diminuant la réactivité. D'autres études de cas sur les fumées de soudage et sur des NP différemment chargées ont confirmé la performance de notre test DCFH et ont trouvé que la génération de ROS est liée à certaines caractéristiques, notamment la fonctionnalité de surface des échantillons.
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Magical ideation and belief in the paranormal is considered to represent a trait-like character; people either believe in it or not. Yet, anecdotes indicate that exposure to an anomalous event can turn skeptics into believers. This transformation is likely to be accompanied by altered cognitive functioning such as impaired judgments of event likelihood. Here, we investigated whether the exposure to an anomalous event changes individuals' explicit traditional (religious) and non-traditional (e.g., paranormal) beliefs as well as cognitive biases that have previously been associated with non-traditional beliefs, e.g., repetition avoidance when producing random numbers in a mental dice task. In a classroom, 91 students saw a magic demonstration after their psychology lecture. Before the demonstration, half of the students were told that the performance was done respectively by a conjuror (magician group) or a psychic (psychic group). The instruction influenced participants' explanations of the anomalous event. Participants in the magician, as compared to the psychic group, were more likely to explain the event through conjuring abilities while the reverse was true for psychic abilities. Moreover, these explanations correlated positively with their prior traditional and non-traditional beliefs. Finally, we observed that the psychic group showed more repetition avoidance than the magician group, and this effect remained the same regardless of whether assessed before or after the magic demonstration. We conclude that pre-existing beliefs and contextual suggestions both influence people's interpretations of anomalous events and associated cognitive biases. Beliefs and associated cognitive biases are likely flexible well into adulthood and change with actual life events.
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We consider robust parametric procedures for univariate discrete distributions, focusing on the negative binomial model. The procedures are based on three steps: ?First, a very robust, but possibly inefficient, estimate of the model parameters is computed. ?Second, this initial model is used to identify outliers, which are then removed from the sample. ?Third, a corrected maximum likelihood estimator is computed with the remaining observations. The final estimate inherits the breakdown point (bdp) of the initial one and its efficiency can be significantly higher. Analogous procedures were proposed in [1], [2], [5] for the continuous case. A comparison of the asymptotic bias of various estimates under point contamination points out the minimum Neyman's chi-squared disparity estimate as a good choice for the initial step. Various minimum disparity estimators were explored by Lindsay [4], who showed that the minimum Neyman's chi-squared estimate has a 50% bdp under point contamination; in addition, it is asymptotically fully efficient at the model. However, the finite sample efficiency of this estimate under the uncontaminated negative binomial model is usually much lower than 100% and the bias can be strong. We show that its performance can then be greatly improved using the three step procedure outlined above. In addition, we compare the final estimate with the procedure described in
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We empirically contribute to the debate on business education in building on a decision frame perspective of decision making in corporate responsibility settings. Business schools have been accused to teach amoral theories, leading their students to behave less morally and engendering corporate responsibility scandals. Research has also pointed toward self-selection: business students would differ from non-business students before entering business school. We examine the role of socioeconomic status, core self-evaluations in this regard. Further, we investigate the belief in a free market as a distal influence triggering a business frame, and moral intensity as a proximal influence triggering a moral frame on responsible decision making by business and non-business students. Cross-sectional data obtained from 566 students on two decision making scenarios mostly supported our hypotheses. Socioeconomic status but not core self-evaluations explain the belief in a free market, and had indirect effects on the likelihood to make a less responsible decision. Importantly, the relationship between business studies and the belief in a free market remained significant after accounting for these variables. Our study thus contributes to the socialization and self-selection arguments. We discuss theoretical and practical implications for research on decision frames and for business education, respectively.
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Given the climatic changes around the world and the growing outdoor sports participation, existing guidelines and recommendations for exercising in naturally challenging environments such as heat, cold or altitude, exhibit potential shortcomings. Continuous efforts from sport sciences and exercise physiology communities aim at minimizing the risks of environmental-related illnesses during outdoor sports practices. Despite this, the use of simple weather indices does not permit an accurate estimation of the likelihood of facing thermal illnesses. This provides a critical foundation to modify available human comfort modeling and to integrate bio-meteorological data in order to improve the current guidelines. Although it requires further refinement, there is no doubt that standardizing the recently developed Universal Thermal Climate Index approach and its application in the field of sport sciences and exercise physiology may help to improve the appropriateness of the current guidelines for outdoor, recreational and competitive sports participation. This review first summarizes the main environmental-related risk factors that are susceptible to increase with recent climate changes when exercising outside and offers recommendations to combat them appropriately. Secondly, we briefly address the recent development of thermal stress models to assess the thermal comfort and physiological responses when practicing outdoor activities in challenging environments.
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BACKGROUND: Low vitamin D status has been associated with an increased risk of developing type 2 diabetes and insulin resistance (IR), although this has been recently questioned. OBJECTIVE: We examined the association between serum vitamin D metabolites and incident IR. METHODS: This was a prospective, population-based study derived from the CoLaus (Cohorte Lausannoise) study including 3856 participants (aged 51.2 ± 10.4 y; 2217 women) free from diabetes or IR at baseline. IR was defined as a homeostasis model assessment (HOMA) index >2.6. Fasting plasma insulin and glucose were measured at baseline and at follow-up to calculate the HOMA index. The association of vitamin D metabolites with incident IR was analyzed by logistic regression, and the results were expressed for each independent variable as ORs and 95% CIs. RESULTS: During the 5.5-y follow-up, 649 (16.9%) incident cases of IR were identified. Participants who developed IR had lower baseline serum concentrations of 25-hydroxyvitamin D3 [25(OH)D3 (25-hydroxycholecalciferol); 45.9 ± 22.8 vs. 49.9 ± 22.6 nmol/L; P < 0.001], total 25(OH)D3 (25(OH)D3 + epi-25-hydroxyvitamin D3 [3-epi-25(OH)D3]; 49.1 ± 24.3 vs. 53.3 ± 24.1 nmol/L; P < 0.001), and 3-epi-25(OH)D3 (4.2 ± 2.9 vs. 4.3 ± 2.5 nmol/L; P = 0.01) but a higher 3-epi- to total 25(OH)D3 ratio (0.09 ± 0.05 vs. 0.08 ± 0.04; P = 0.007). Multivariable analysis adjusting for month of sampling, age, and sex showed an inverse association between 25(OH)D3 and the likelihood of developing IR [ORs (95% CIs): 0.86 (0.68, 1.09), 0.60 (0.46, 0.78), and 0.57 (0.43, 0.75) for the second, third, and fourth quartiles compared with the first 25(OH)D3 quartile; P-trend < 0.001]. Similar associations were found between total 25(OH)D3 and incident IR. There was no significant association between 3-epi-25(OH)D3 and IR, yet a positive association was observed between the 3-epi- to total 25(OH)D3 ratio and incident IR. Further adjustment for body mass index, sedentary status, and smoking attenuated the association between 25(OH)D3, total 25(OH)D3, and the 3-epi- to total 25(OH)D3 ratio and the likelihood of developing IR. CONCLUSION: In the CoLaus study in healthy adults, the risk of incident IR is not associated with serum concentrations of 25(OH)D3 and total 25(OH)D3.
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BACKGROUND: Blood pressure (BP) is known to aggregate in families. Yet, heritability estimates are population-specific and no Swiss data have been published so far. We estimated the heritability of ambulatory and office BP in a Swiss population-based sample. METHODS: The Swiss Kidney Project on Genes in Hypertension is a population-based family study focusing on BP genetics. Office and ambulatory BP were measured in 1009 individuals from 271 nuclear families. Heritability was estimated for SBP, DBP, and pulse pressure using a maximum likelihood method implanted in the Statistical Analysis in Genetic Epidemiology software. RESULTS: The 518 women and 491 men included in this analysis had a mean (±SD) age of 48.3 (±17.4) and 47.3 (±17.7) years, and a mean BMI of 23.8 (±4.2) and 25.9 (±4.1) kg/m, respectively. Narrow-sense heritability estimates (±standard error) for ambulatory SBP, DBP, and pulse pressure were 0.37 ± 0.07, 0.26 ± 0.07, and 0.29 ± 0.07 for 24-h BP; 0.39 ± 0.07, 0.28 ± 0.07, and 0.27 ± 0.07 for day BP; and 0.25 ± 0.07, 0.20 ± 0.07, and 0.30 ± 0.07 for night BP, respectively (all P < 0.001). Heritability estimates for office SBP, DBP, and pulse pressure were 0.21 ± 0.08, 0.25 ± 0.08, and 0.18 ± 0.07 (all P < 0.01). CONCLUSIONS: We found significant heritability estimates for both ambulatory and office BP in this Swiss population-based study. Our findings justify the ongoing search for the genetic determinants of BP.
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BACKGROUND: Diagnosing pediatric pneumonia is challenging in low-resource settings. The World Health Organization (WHO) has defined primary end-point radiological pneumonia for use in epidemiological and vaccine studies. However, radiography requires expertise and is often inaccessible. We hypothesized that plasma biomarkers of inflammation and endothelial activation may be useful surrogates for end-point pneumonia, and may provide insight into its biological significance. METHODS: We studied children with WHO-defined clinical pneumonia (n = 155) within a prospective cohort of 1,005 consecutive febrile children presenting to Tanzanian outpatient clinics. Based on x-ray findings, participants were categorized as primary end-point pneumonia (n = 30), other infiltrates (n = 31), or normal chest x-ray (n = 94). Plasma levels of 7 host response biomarkers at presentation were measured by ELISA. Associations between biomarker levels and radiological findings were assessed by Kruskal-Wallis test and multivariable logistic regression. Biomarker ability to predict radiological findings was evaluated using receiver operating characteristic curve analysis and Classification and Regression Tree analysis. RESULTS: Compared to children with normal x-ray, children with end-point pneumonia had significantly higher C-reactive protein, procalcitonin and Chitinase 3-like-1, while those with other infiltrates had elevated procalcitonin and von Willebrand Factor and decreased soluble Tie-2 and endoglin. Clinical variables were not predictive of radiological findings. Classification and Regression Tree analysis generated multi-marker models with improved performance over single markers for discriminating between groups. A model based on C-reactive protein and Chitinase 3-like-1 discriminated between end-point pneumonia and non-end-point pneumonia with 93.3% sensitivity (95% confidence interval 76.5-98.8), 80.8% specificity (72.6-87.1), positive likelihood ratio 4.9 (3.4-7.1), negative likelihood ratio 0.083 (0.022-0.32), and misclassification rate 0.20 (standard error 0.038). CONCLUSIONS: In Tanzanian children with WHO-defined clinical pneumonia, combinations of host biomarkers distinguished between end-point pneumonia, other infiltrates, and normal chest x-ray, whereas clinical variables did not. These findings generate pathophysiological hypotheses and may have potential research and clinical utility.
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PURPOSE: Congenital hypogonadotropic hypogonadism (CHH) and split hand/foot malformation (SHFM) are two rare genetic conditions. Here we report a clinical entity comprising the two. METHODS: We identified patients with CHH and SHFM through international collaboration. Probands and available family members underwent phenotyping and screening for FGFR1 mutations. The impact of identified mutations was assessed by sequence- and structure-based predictions and/or functional assays. RESULTS: We identified eight probands with CHH with (n = 3; Kallmann syndrome) or without anosmia (n = 5) and SHFM, seven of whom (88%) harbor FGFR1 mutations. Of these seven, one individual is homozygous for p.V429E and six individuals are heterozygous for p.G348R, p.G485R, p.Q594*, p.E670A, p.V688L, or p.L712P. All mutations were predicted by in silico analysis to cause loss of function. Probands with FGFR1 mutations have severe gonadotropin-releasing hormone deficiency (absent puberty and/or cryptorchidism and/or micropenis). SHFM in both hands and feet was observed only in the patient with the homozygous p.V429E mutation; V429 maps to the fibroblast growth factor receptor substrate 2α binding domain of FGFR1, and functional studies of the p.V429E mutation demonstrated that it decreased recruitment and phosphorylation of fibroblast growth factor receptor substrate 2α to FGFR1, thereby resulting in reduced mitogen-activated protein kinase signaling. CONCLUSION: FGFR1 should be prioritized for genetic testing in patients with CHH and SHFM because the likelihood of a mutation increases from 10% in the general CHH population to 88% in these patients.Genet Med 17 8, 651-659.
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OBJECTIVE: To evaluate the effectiveness of a complex intervention implementing best practice guidelines recommending clinicians screen and counsel young people across multiple psychosocial risk factors, on clinicians' detection of health risks and patients' risk taking behaviour, compared to a didactic seminar on young people's health. DESIGN: Pragmatic cluster randomised trial where volunteer general practices were stratified by postcode advantage or disadvantage score and billing type (private, free national health, community health centre), then randomised into either intervention or comparison arms using a computer generated random sequence. Three months post-intervention, patients were recruited from all practices post-consultation for a Computer Assisted Telephone Interview and followed up three and 12 months later. Researchers recruiting, consenting and interviewing patients and patients themselves were masked to allocation status; clinicians were not. SETTING: General practices in metropolitan and rural Victoria, Australia. PARTICIPANTS: General practices with at least one interested clinician (general practitioner or nurse) and their 14-24 year old patients. INTERVENTION: This complex intervention was designed using evidence based practice in learning and change in clinician behaviour and general practice systems, and included best practice approaches to motivating change in adolescent risk taking behaviours. The intervention involved training clinicians (nine hours) in health risk screening, use of a screening tool and motivational interviewing; training all practice staff (receptionists and clinicians) in engaging youth; provision of feedback to clinicians of patients' risk data; and two practice visits to support new screening and referral resources. Comparison clinicians received one didactic educational seminar (three hours) on engaging youth and health risk screening. OUTCOME MEASURES: Primary outcomes were patient report of (1) clinician detection of at least one of six health risk behaviours (tobacco, alcohol and illicit drug use, risks for sexually transmitted infection, STI, unplanned pregnancy, and road risks); and (2) change in one or more of the six health risk behaviours, at three months or at 12 months. Secondary outcomes were likelihood of future visits, trust in the clinician after exit interview, clinician detection of emotional distress and fear and abuse in relationships, and emotional distress at three and 12 months. Patient acceptability of the screening tool was also described for the intervention arm. Analyses were adjusted for practice location and billing type, patients' sex, age, and recruitment method, and past health risks, where appropriate. An intention to treat analysis approach was used, which included multilevel multiple imputation for missing outcome data. RESULTS: 42 practices were randomly allocated to intervention or comparison arms. Two intervention practices withdrew post allocation, prior to training, leaving 19 intervention (53 clinicians, 377 patients) and 21 comparison (79 clinicians, 524 patients) practices. 69% of patients in both intervention (260) and comparison (360) arms completed the 12 month follow-up. Intervention clinicians discussed more health risks per patient (59.7%) than comparison clinicians (52.7%) and thus were more likely to detect a higher proportion of young people with at least one of the six health risk behaviours (38.4% vs 26.7%, risk difference [RD] 11.6%, Confidence Interval [CI] 2.93% to 20.3%; adjusted odds ratio [OR] 1.7, CI 1.1 to 2.5). Patients reported less illicit drug use (RD -6.0, CI -11 to -1.2; OR 0·52, CI 0·28 to 0·96), and less risk for STI (RD -5.4, CI -11 to 0.2; OR 0·66, CI 0·46 to 0·96) at three months in the intervention relative to the comparison arm, and for unplanned pregnancy at 12 months (RD -4.4; CI -8.7 to -0.1; OR 0·40, CI 0·20 to 0·80). No differences were detected between arms on other health risks. There were no differences on secondary outcomes, apart from a greater detection of abuse (OR 13.8, CI 1.71 to 111). There were no reports of harmful events and intervention arm youth had high acceptance of the screening tool. CONCLUSIONS: A complex intervention, compared to a simple educational seminar for practices, improved detection of health risk behaviours in young people. Impact on health outcomes was inconclusive. Technology enabling more efficient, systematic health-risk screening may allow providers to target counselling toward higher risk individuals. Further trials require more power to confirm health benefits. TRIAL REGISTRATION: ISRCTN.com ISRCTN16059206.