Prevalencia de factores de riesgo psicosocial en trabajadores de una empresa del sector salud, Yopal 2014

Antecedentes: Los factores de Riesgo psicosocial según la resolución 2646 de 2008 “comprenden los aspectos intralaborales, extralaborales o externos a la organización y las condiciones individuales o características intrínsecas al trabajador, los cuales en una interrelación dinámica, mediante percepciones y experiencias, influirían en la salud y el desempeño de las personas”. El objetivo del estudio es establecer la prevalencia de factores de riesgo psicosocial y la asociación existente en la población trabajadora del área administrativa y asistencial, en una empresa del sector salud nivel II, Yopal, 2014 Materiales y método: Se diseñó un estudio de corte transversal para establecer la prevalencia de los factores de riesgo psicosocial en una población de 92 trabajadores del área administrativa (50) y asistencial (42) en una empresa del sector salud nivel II en Yopal, por medio de la batería de Riesgo Psicosocial del Ministerio de la Protección Social. Resultados: Se realizó un análisis multivariado, se puede afirmar con un nivel de confianza del 95% que en la población de estudio, la prevalencia de riesgo intralaboral en la población administrativa está entre el 9,5% y 34,5% y en los trabajadores del área asistencial entre el 9,7% y el 37,9%. El riesgo extralaboral en el área administrativa está entre el 4,8% y el 27,2%, en el área asistencial la prevalencia está entre el 1,5% y el 19,5%. La prevalencia de Riesgo de Estrés se encuentra en la población administrativa entre el 29,2% y el 58,8% y en el área asistencial entre el 17,9% y el 48,8%. Se encontró una asociación (p = 0,007) entre estado civil y riesgo intralaboral en la población asistencial, entre tipo de vivienda y nivel de estres (p= 0,003) en la población administrativa, y entre número de personas a cargo económicamente y riesgo extralaboral (p=0,004) en el área asistencial. Discusión: La prevalencia de riesgo psicosocial es evidente en las dos áreas de trabajo tanto administrativos como asistenciales, sin embargo se encuentra una prevalencia mayor de riesgo en el área asistencial en la dimensión exigencias del rol dado a un incremento en la responsabilidad y tiempo extra que se debe realizar para el desarrollo de tareas y su cumplimiento ante el rol desempeñado; los resultados permiten implementar programas de vigilancia epidemiológica que permitan mitigar y controlar los hallazgos en este estudio.

A robust Bayesian approach to null intercept measurement error model with application to dental data

Measurement error models often arise in epidemiological and clinical research. Usually, in this set up it is assumed that the latent variable has a normal distribution. However, the normality assumption may not be always correct. Skew-normal/independent distribution is a class of asymmetric thick-tailed distributions which includes the Skew-normal distribution as a special case. In this paper, we explore the use of skew-normal/independent distribution as a robust alternative to null intercept measurement error model under a Bayesian paradigm. We assume that the random errors and the unobserved value of the covariate (latent variable) follows jointly a skew-normal/independent distribution, providing an appealing robust alternative to the routine use of symmetric normal distribution in this type of model. Specific distributions examined include univariate and multivariate versions of the skew-normal distribution, the skew-t distributions, the skew-slash distributions and the skew contaminated normal distributions. The methods developed is illustrated using a real data set from a dental clinical trial. (C) 2008 Elsevier B.V. All rights reserved.

Proposal on indicators for follow-up to the goals of the International Conference on Population and Development in Latin America and the Caribbean

Includes bibliography

NMR, Metabonomics and Molecular Profiles: Applications to the Quality Assessment of Foodstuffs

Nuclear Magnetic Resonance (NMR) is a branch of spectroscopy that is based on the fact that many atomic nuclei may be oriented by a strong magnetic field and will absorb radiofrequency radiation at characteristic frequencies. The parameters that can be measured on the resulting spectral lines (line positions, intensities, line widths, multiplicities and transients in time-dependent experi-ments) can be interpreted in terms of molecular structure, conformation, molecular motion and other rate processes. In this way, high resolution (HR) NMR allows performing qualitative and quantitative analysis of samples in solution, in order to determine the structure of molecules in solution and not only. In the past, high-field NMR spectroscopy has mainly concerned with the elucidation of chemical structure in solution, but today is emerging as a powerful exploratory tool for probing biochemical and physical processes. It represents a versatile tool for the analysis of foods. In literature many NMR studies have been reported on different type of food such as wine, olive oil, coffee, fruit juices, milk, meat, egg, starch granules, flour, etc using different NMR techniques. Traditionally, univariate analytical methods have been used to ex-plore spectroscopic data. This method is useful to measure or to se-lect a single descriptive variable from the whole spectrum and , at the end, only this variable is analyzed. This univariate methods ap-proach, applied to HR-NMR data, lead to different problems due especially to the complexity of an NMR spectrum. In fact, the lat-ter is composed of different signals belonging to different mole-cules, but it is also true that the same molecules can be represented by different signals, generally strongly correlated. The univariate methods, in this case, takes in account only one or a few variables, causing a loss of information. Thus, when dealing with complex samples like foodstuff, univariate analysis of spectra data results not enough powerful. Spectra need to be considered in their wholeness and, for analysing them, it must be taken in consideration the whole data matrix: chemometric methods are designed to treat such multivariate data. Multivariate data analysis is used for a number of distinct, differ-ent purposes and the aims can be divided into three main groups: • data description (explorative data structure modelling of any ge-neric n-dimensional data matrix, PCA for example); • regression and prediction (PLS); • classification and prediction of class belongings for new samples (LDA and PLS-DA and ECVA). The aim of this PhD thesis was to verify the possibility of identify-ing and classifying plants or foodstuffs, in different classes, based on the concerted variation in metabolite levels, detected by NMR spectra and using the multivariate data analysis as a tool to inter-pret NMR information. It is important to underline that the results obtained are useful to point out the metabolic consequences of a specific modification on foodstuffs, avoiding the use of a targeted analysis for the different metabolites. The data analysis is performed by applying chemomet-ric multivariate techniques to the NMR dataset of spectra acquired. The research work presented in this thesis is the result of a three years PhD study. This thesis reports the main results obtained from these two main activities: A1) Evaluation of a data pre-processing system in order to mini-mize unwanted sources of variations, due to different instrumental set up, manual spectra processing and to sample preparations arte-facts; A2) Application of multivariate chemiometric models in data analy-sis.

Scaled down physical properties of semiconductor nanowires for nanoelectronics scaling up

Semiconductor nanowires (NWs) are one- or quasi one-dimensional systems whose physical properties are unique as compared to bulk materials because of their nanoscaled sizes. They bring together quantum world and semiconductor devices. NWs-based technologies may achieve an impact comparable to that of current microelectronic devices if new challenges will be faced. This thesis primarily focuses on two different, cutting-edge aspects of research over semiconductor NW arrays as pivotal components of NW-based devices. The first part deals with the characterization of electrically active defects in NWs. It has been elaborated the set-up of a general procedure which enables to employ Deep Level Transient Spectroscopy (DLTS) to probe NW arrays’ defects. This procedure has been applied to perform the characterization of a specific system, i.e. Reactive Ion Etched (RIE) silicon NW arrays-based Schottky barrier diodes. This study has allowed to shed light over how and if growth conditions introduce defects in RIE processed silicon NWs. The second part of this thesis concerns the bowing induced by electron beam and the subsequent clustering of gallium arsenide NWs. After a justified rejection of the mechanisms previously reported in literature, an original interpretation of the electron beam induced bending has been illustrated. Moreover, this thesis has successfully interpreted the formation of NW clusters in the framework of the lateral collapse of fibrillar structures. These latter are both idealized models and actual artificial structures used to study and to mimic the adhesion properties of natural surfaces in lizards and insects (Gecko effect). Our conclusion are that mechanical and surface properties of the NWs, together with the geometry of the NW arrays, play a key role in their post-growth alignment. The same parameters open, then, to the benign possibility of locally engineering NW arrays in micro- and macro-templates.

Analysis of Phenotypic Variation in Childhood Wheezing Disorders

Recurrent wheezing or asthma is a common problem in children that has increased considerably in prevalence in the past few decades. The causes and underlying mechanisms are poorly understood and it is thought that a numb er of distinct diseases causing similar symptoms are involved. Due to the lack of a biologically founded classification system, children are classified according to their observed disease related features (symptoms, signs, measurements) into phenotypes. The objectives of this PhD project were a) to develop tools for analysing phenotypic variation of a disease, and b) to examine phenotypic variability of wheezing among children by applying these tools to existing epidemiological data. A combination of graphical methods (multivariate co rrespondence analysis) and statistical models (latent variables models) was used. In a first phase, a model for discrete variability (latent class model) was applied to data on symptoms and measurements from an epidemiological study to identify distinct phenotypes of wheezing. In a second phase, the modelling framework was expanded to include continuous variability (e.g. along a severity gradient) and combinations of discrete and continuo us variability (factor models and factor mixture models). The third phase focused on validating the methods using simulation studies. The main body of this thesis consists of 5 articles (3 published, 1 submitted and 1 to be submitted) including applications, methodological contributions and a review. The main findings and contributions were: 1) The application of a latent class model to epidemiological data (symptoms and physiological measurements) yielded plausible pheno types of wheezing with distinguishing characteristics that have previously been used as phenotype defining characteristics. 2) A method was proposed for including responses to conditional questions (e.g. questions on severity or triggers of wheezing are asked only to children with wheeze) in multivariate modelling.ii 3) A panel of clinicians was set up to agree on a plausible model for wheezing diseases. The model can be used to generate datasets for testing the modelling approach. 4) A critical review of methods for defining and validating phenotypes of wheeze in children was conducted. 5) The simulation studies showed that a parsimonious parameterisation of the models is required to identify the true underlying structure of the data. The developed approach can deal with some challenges of real-life cohort data such as variables of mixed mode (continuous and categorical), missing data and conditional questions. If carefully applied, the approach can be used to identify whether the underlying phenotypic variation is discrete (classes), continuous (factors) or a combination of these. These methods could help improve precision of research into causes and mechanisms and contribute to the development of a new classification of wheezing disorders in children and other diseases which are difficult to classify.

Evaluación de desempeño docente : valoración de la situación funcional

El sistema de evaluación de desempeño docente está reglamentado desde 1993 en la Universidad Nacional de Cuyo, año en que se puso en vigencia en la Facultad de Ciencias Agrarias. La normativa que lo rige menciona la situación funcional como elemento a evaluar, sin embargo no aporta criterios para ello. El objetivo de este trabajo fue relevar variables que, solas o en la forma de indicadores, permitieran detectar causas de actividad diferenciada por categoría, dedicación y ubicación curricular de los docentes. Se utilizó una encuesta autogestionada, asignada a los docentes mediante muestreo aleatorio estratificado. Los datos se procesaron mediante técnicas uni, bi y multivariadas. Con relación a las cuatro categorías establecidas en el Estatuto no se advirtieron diferencias notables en los tipos de actividades realizadas. Se hallaron diferencias para la dedicación docente y los ciclos curriculares (básico, instrumental y profesional). Se concluyó que: a) las categorías trabajan en forma pareja, pero los Profesores Titulares tienen mayor participación en posgrado; b) sólo los docentes de dedicación exclusiva cuentan con tiempo para realizar tareas de investigación, servicios y extensión; c) los docentes de los ciclos básico e instrumental desarrollan actividad más intensa en todas las áreas que los del ciclo profesional.

Curiosidades sobre a reação aldólica utilizada como etapa chave na síntese Brasileira dos ácidos pterídicos A e B

This work describes an overview of our synthesis of pteridic acids A and B and discloses some interesting results related to the lithium enolate-mediated aldol reaction used as key step to set up the C5-C15 fragment of these natural products. This first example, as far we know, of an aldol reaction between a chiral enolate of a (Z) enone and a chiral aldehyde has driven us to a series of experiments showing the remarkable relation between enolization selectivity and reaction conditions.

Acões motrizes e representações sociais no jogo do laço no vale do Itabapoana

Universidade Estadual de Campinas . Faculdade de Educação Física

Hegemonia e contra-hegemonia na construção de políticas de esporte e lazer : a experiência do Consórcio Brasília = Hegemony and counter-hegemony in the process of sport and leisure policy-making : the experience of the Consortium Brasilia

Universidade Estadual de Campinas . Faculdade de Educação Física

Proposta e verificação da validade de testes de limiar anaerobico para natação do nado crawl

Universidade Estadual de Campinas . Faculdade de Educação Física

Inter-relações de turistas e moradores : um olhar atraves das manifestações corporais no Carnaval de Ouro Preto

Universidade Estadual de Campinas. Faculdade de Educação Física

Corpo-movimento-deficiencia : as formas dos discursos da/na dança em cadeira de rodas e seus processos de significação

Universidade Estadual de Campinas. Faculdade de Educação Física

Extração de incisivo inferior: uma opção de tratamento ortodôntico

A exodontia de um incisivo inferior pode ser considerada uma opção valiosa na busca de excelência nos resultados ortodônticos para obtenção de máxima função, estética e estabilidade. O objetivo deste estudo foi reunir informações referentes às indicações, contraindicações, vantagens, desvantagens e estabilidade dos resultados obtidos nos tratamentos realizados com extração de um incisivo inferior. Essa opção de tratamento pode ser indicada em más oclusões com discrepância de volume dentário anterior devido a incisivos superiores estreitos e/ou incisivos inferiores largos. É contraindicada em más oclusões sem discrepância anterior ou com discrepâncias ocasionadas por incisivos superiores largos e/ou incisivos inferiores estreitos. A literatura sugere maior estabilidade pós-tratamento quando comparada com a opção de extrações de pré-molares. Além do diagnóstico cuidadoso, obtido com a colaboração do set-up, a habilidade e a experiência clínica do profissional são importantes para o sucesso dos resultados ortodônticos alcançados com essa opção de tratamento

Levantamento florístico no cerrado de Pedregulho, SP, Brasil

Em Pedregulho, município do extremo nordeste do Estado de São Paulo, ocorrem fragmentos de cerrado considerados floristicamente distintos dos demais remanescentes paulistas. Nesse estudo, foi realizado um levantamento florístico em Pedregulho, abordando duas regiões geologicamente distintas: o Parque Estadual das Furnas do Bom Jesus e o distrito de Estreito. Em cada uma, delimitaram-se duas parcelas de 50×50 m, totalizando um hectare, onde foram encontradas 65 famílias e 379 espécies de angiospermas. Coletas em áreas adjacentes totalizaram 71 famílias e 443 espécies. As duas regiões estudadas têm baixa similaridade florística entre si. A distribuição geográfica das espécies é analisada e oito padrões são delimitados para aquelas cuja distribuição no Estado de São Paulo é restrita à região de Pedregulho.