L’atenció a les víctimes de violència de gènere: Un estudi de les variables rellevants per a la intervenció psicosocial

Aquesta investigació s’inscriu dins del marc de l’atenció a les víctimes de violència de gènere que ofereix l’oficina d’atenció a la víctima de Lleida, depenent del Departament de Justícia de la Generalitat de Catalunya. L’entrada en vigor de la llei 27/03 reguladora de l’Ordre de Protecció de les víctimes de violència domèstica, així com les últimes modificacions de textos legals han pogut propiciar, junt amb el ressò social d’aquest fenomen, un canvi en el perfil de les víctimes de violència de gènere que s’atenen en aquestes oficines, fonamentalment pel que fa a variables de caire sociodemogràfic, com ara l’edat, la situació personal, familiar, laboral, etc. Encara que la major part de les víctimes ateses són més grans de 30 anys, al voltant d’una tercera part té menys de 30 anys. No s’ha trobat, però, que aquestes víctimes denunciïn més maltractament psíquic que físic (que implícitament porta aparellat maltractament psíquic), encara que triguen menys temps a denunciar el maltractament que les víctimes més grans. D’altra banda, es constata que només algunes de les variables sociodemogràfiques estudiades, en especial la situació laboral de les víctimes, la relació que mantenen amb l’agressor i el fet de tenir o no fills amb ells, resulten rellevants en relació a les mesures judicials adoptades com a conseqüència de la denúncia. La relació d’aquestes variables sociodemogràfiques amb les necessitats d’intervenció no resulten tan clares, molt probablement per l’efecte d’altres variables moduladores no tingudes en compte en el disseny com variables rellevants.

Morphometric discrimination of females of five species of Anopheles of the subgenus Nyssorhynchus from Southern and Northwest Colombia

The most important vectors of human Plasmodium in the neotropics belong to the subgenus Nyssorhynchus. These species are generally sympatric in terms of their geographical distributions. Some are difficult to identify based solely on examination of adult females using the available morphological keys, in these cases examination of immature stages and male genitalia is required to make correct determinations. However, in epidemiological studies it is necessary to identify the species of adult females which are found near humans, i.e. in studies of malaria transmission or evaluation of control measures. The purpose of the present study was to evaluate the discrimination of adult females of different species of Nyssorhynchus isolated mainly from Southern Colombia (department of Putumayo), using morphometric analysis. Adult females were obtained after rearing larvae collected in natural breeding places and from the progeny of females collected on humans. The morphological characteristics of the immature stages allowed the identification of four species of the subgroup Oswaldoi from Southern Colombia: Anopheles rangeli Gabaldon, Cova Garcia & Lopez, An. oswaldoi (Peryassu), An. benarrochi Gabaldon, Cova Garcia & Lopez and An. triannulatus (Neiva & Pinto). The species An. nuneztovari (Gabaldon) from the Northwest of Colombia was included for comparison. Morphometric analysis allowed differentiation of the females of all species to a confidence level approaching 90% using principal components analysis of 10 wing and leg variables, followed by canonical variate analysis of the first four principal components. We conclude that morphometrics may represent a useful taxonomic tool for this group and that its use should be further studied.

Young People's Health in Great Britain and Ireland: Findings from the Health Behaviour in School-Aged Children (HBSC)Survey, 2006.

This report presents data from the 2006 Health Behaviour in School-aged Children (HBSC) survey; a World Health Organization (WHO) collaborative cross-national study and focuses on data collected from young people in England, Ireland, Scotland and Wales. It expands on the findings from the international report Inequalities in Young People's Health (Currie et al, 2008), with additional variables and prevalence rates that allows more comprehensive and focussed comparisons to be made between the four countries.This resource was contributed by The National Documentation Centre on Drug Use.

Patterns of antenal sensilla of Panstrongylus megistus from three Brazilian states

The objective of the present study was to analyze and describe the phenotype of the antennal sensilla of Panstrongylus megistus, one of the epidemiologically most important species of triatomines in Brazil. Specimens from the Brazilian states of Goiás (GO), Minas Gerais (MG), and Rio Grande do Sul (RS) were compared, based on studies of four types of sensilla on three antennal segments: thick-walled trichoid (TK), thin-walled trichoid (TH), bristles (BR), and basiconica (BA). Discriminant analysis allowed the separation of the RS specimens from those of GO and MG. Multivariate discriminant analysis demonstrated that the sensilla of males differed from those of females, the variables with greatest weight being the BA of all three segments and the TK of flagellum 1. The basiconica sensilla were significantly more abundant in females, on all three segments. Antennal sensilla patterns also demonstrated significant differences among P. megistus specimens.

Binary classification of dyslipidemia from the waist-to-hip ratio and body mass index: a comparison of linear, logistic, and CART models.

BACKGROUND: We sought to improve upon previously published statistical modeling strategies for binary classification of dyslipidemia for general population screening purposes based on the waist-to-hip circumference ratio and body mass index anthropometric measurements. METHODS: Study subjects were participants in WHO-MONICA population-based surveys conducted in two Swiss regions. Outcome variables were based on the total serum cholesterol to high density lipoprotein cholesterol ratio. The other potential predictor variables were gender, age, current cigarette smoking, and hypertension. The models investigated were: (i) linear regression; (ii) logistic classification; (iii) regression trees; (iv) classification trees (iii and iv are collectively known as "CART"). Binary classification performance of the region-specific models was externally validated by classifying the subjects from the other region. RESULTS: Waist-to-hip circumference ratio and body mass index remained modest predictors of dyslipidemia. Correct classification rates for all models were 60-80%, with marked gender differences. Gender-specific models provided only small gains in classification. The external validations provided assurance about the stability of the models. CONCLUSIONS: There were no striking differences between either the algebraic (i, ii) vs. non-algebraic (iii, iv), or the regression (i, iii) vs. classification (ii, iv) modeling approaches. Anticipated advantages of the CART vs. simple additive linear and logistic models were less than expected in this particular application with a relatively small set of predictor variables. CART models may be more useful when considering main effects and interactions between larger sets of predictor variables.

Seroepidemiology of hepatitis B virus infection and high rate of response to hepatitis B virus Butang®vaccine in adolescents from low income families in Central Brazil

In order to evaluate the seroepidemiology and response to Butang® vaccine in adolescents from low income families in Central Brazil, blood samples of 664 adolescents were tested for hepatitis B surface antigen (HBsAg), hepatitis B core antibody (anti-HBc), and hepatitis B surface antibody (anti-HBs) markers, and multiple logistical regression analysis was carried out to determine variables associated with hepatitis B virus (HBV) infection markers. further, three 20 µg butang® vaccine doses were offered to all susceptible individuals (n = 304). Among those who accepted them (n = 182), the seroresponse was evaluated in 170 individuals by quantitative anti-HBs. an overall hbv prevalence of 5.9% was found: four adolescents were HBsAg positive, 24 were anti-HBc, anti-HBs-reactive, and 11 were anti-HBc only. The analyse of risk factors showed that age 16-19 years, place of birth outside Goiás, school B and body piercing were statistically associated with HBV infection markers (p < 0.05). All 170 adolescents responded to butang®, and a geometric mean titer (gmt) of 4344 mui/ml was obtained. these results reinforce the importance of hepatitis b vaccine in adolescents despite of the hbv regional endemicity, and suggest that three doses of 20 µg of the butang® should guarantee protective anti-hbs levels to individuals at a critical time for hepatitis b acquiring such as latter adolescence and adulthood.

Measuring an effect size from dichotomized data : contrasted results whether using a correlation or an odds-ratio

It is well known that dichotomizing continuous data has the effect to decrease statistical power when the goal is to test for a statistical association between two variables. Modern researchers however are focusing not only on statistical significance but also on an estimation of the "effect size" (i.e., the strength of association between the variables) to judge whether a significant association is also clinically relevant. In this article, we are interested in the consequences of dichotomizing continuous data on the value of an effect size in some classical settings. It turns out that the conclusions will not be the same whether using a correlation or an odds ratio to summarize the strength of association between the variables: Whereas the value of a correlation is typically decreased by a factor pi/2 after each dichotomization, the value of an odds ratio is at the same time raised to the power 2. From a descriptive statistical point of view, it is thus not clear whether dichotomizing continuous data leads to a decrease or to an increase in the effect size, as illustrated using a data set to investigate the relationship between motor and intellectual functions in children and adolescents

Environmental risk factors for Cryptosporidium infection in an island from Western Venezuela

Few investigations have been conducted on risk factors for Cryptosporidium infection in communities from developing countries. A study was conducted to determine the prevalence and risk factors for cryptosporidiosis in San Carlos island, Venezuela. A sample of 515 subjects (mean age ± SD: 21.4 ± 17.8 years) was surveyed. Single fecal specimens were collected and modified Ziehl-Neelsen carbolfuchsin staining of formalin-ether concentrate stools were examined for identification of the parasite. Infections with Cryptosporidium (67 of 515, 13%) were common. Prevalence of the parasite varied among sectors of the community; 34 of 67(50.7%) cases of cryptosporidiosis clustered in two sectors with extreme poverty. Variables strongly associated with a higher risk for the infection (p < 0.01) were residing in these sectors versus the remainder, living in a hut or small residence versus a brick or larger house, using an area of backyard rather than a toilet or latrine for defecation, and having contact with soil contaminated with human feces. Crowding was also a risk (p < 0.05). Contact with human feces contaminated-soil may be an important mode of transmission and poverty a predisposing factor for the infection.

First genotyping of Giardia lamblia from human and animal feces in Argentina, South America

The purpose of this study was to investigate the genotypes of Giardia lamblia from human and animal feces and their epidemiological and clinical characteristics in Argentina, South America. Seventy isolates, 60 from humans (adults and children), eight from dogs and two from cows were processed by polymerase chain reaction-restriction fragment length polymorphism. Data corresponding to demographic, socio-cultural and environmental variables and presence/absence of signs/symptoms were collected. The triosephosphate isomerase gene was amplified from 43 (71.66%) of the 60 human fecal samples. Among these, 3/43 (6.98%) were genotype AII and 40/43 (93.02%) were genotype B. Assemblage AII was detected in three children who lived together in a shantytown and they were oligosymptomatic and none had diarrhea. This genotype was not found in animals. Genotype B showed a high prevalence in both adults and children. It was also found in polysymptomatic people, many of whom presented diarrhea. It was also found only in one dog. The present study represents the first contribution to the knowledge of G. lamblia genotypes in Argentina.

Interpretation of wind components as compositional variables

The classical statistical study of the wind speed in the atmospheric surface layer is madegenerally from the analysis of the three habitual components that perform the wind data,that is, the component W-E, the component S-N and the vertical component,considering these components independent.When the goal of the study of these data is the Aeolian energy, so is when wind isstudied from an energetic point of view and the squares of wind components can beconsidered as compositional variables. To do so, each component has to be divided bythe module of the corresponding vector.In this work the theoretical analysis of the components of the wind as compositionaldata is presented and also the conclusions that can be obtained from the point of view ofthe practical applications as well as those that can be derived from the application ofthis technique in different conditions of weather

Predicting spatial patterns of plant biodiversity : from species to communities

Understanding the distribution and composition of species assemblages and being able to predict them in space and time are highly important tasks io investigate the fate of biodiversity in the current global changes context. Species distribution models are tools that have proven useful to predict the potential distribution of species by relating their occurrences to environmental variables. Species assemblages can then be predicted by combining the prediction of individual species models. In the first part of my thesis, I tested the importance of new environmental predictors to improve species distribution prediction. I showed that edaphic variables, above all soil pH and nitrogen content could be important in species distribution models. In a second chapter, I tested the influence of different resolution of predictors on the predictive ability of species distribution models. I showed that fine resolution predictors could ameliorate the models for some species by giving a better estimation of the micro-topographic condition that species tolerate, but that fine resolution predictors for climatic factors still need to be ameliorated. The second goal of my thesis was to test the ability of empirical models to predict species assemblages' characteristics such as species richness or functional attributes. I showed that species richness could be modelled efficiently and that the resulting prediction gave a more realistic estimate of the number of species than when obtaining it by stacking outputs of single species distribution models. Regarding the prediction of functional characteristics (plant height, leaf surface, seed mass) of plant assemblages, mean and extreme values of functional traits were better predictable than indices reflecting the diversity of traits in the community. This approach proved interesting to understand which environmental conditions influence particular aspects of the vegetation functioning. It could also be useful to predict climate change impacts on the vegetation. In the last part of my thesis, I studied the capacity of stacked species distribution models to predict the plant assemblages. I showed that this method tended to over-predict the number of species and that the composition of the community was not predicted exactly either. Finally, I combined the results of macro- ecological models obtained in the preceding chapters with stacked species distribution models and showed that this approach reduced significantly the number of species predicted and that the prediction of the composition is also ameliorated in some cases. These results showed that this method is promising. It needs now to be tested on further data sets. - Comprendre la manière dont les plantes se répartissent dans l'environnement et s'organisent en communauté est une question primordiale dans le contexte actuel de changements globaux. Cette connaissance peut nous aider à sauvegarder la diversité des espèces et les écosystèmes. Des méthodes statistiques nous permettent de prédire la distribution des espèces de plantes dans l'espace géographique et dans le temps. Ces modèles de distribution d'espèces, relient les occurrences d'une espèce avec des variables environnementales pour décrire sa distribution potentielle. Cette méthode a fait ses preuves pour ce qui est de la prédiction d'espèces individuelles. Plus récemment plusieurs tentatives de cumul de modèles d'espèces individuelles ont été réalisées afin de prédire la composition des communautés végétales. Le premier objectif de mon travail est d'améliorer les modèles de distribution en testant l'importance de nouvelles variables prédictives. Parmi différentes variables édaphiques, le pH et la teneur en azote du sol se sont avérés des facteurs non négligeables pour prédire la distribution des plantes. Je démontre aussi dans un second chapitre que les prédicteurs environnementaux à fine résolution permettent de refléter les conditions micro-topographiques subies par les plantes mais qu'ils doivent encore être améliorés avant de pouvoir être employés de manière efficace dans les modèles. Le deuxième objectif de ce travail consistait à étudier le développement de modèles prédictifs pour des attributs des communautés végétales tels que, par exemple, la richesse en espèces rencontrée à chaque point. Je démontre qu'il est possible de prédire par ce biais des valeurs de richesse spécifiques plus réalistes qu'en sommant les prédictions obtenues précédemment pour des espèces individuelles. J'ai également prédit dans l'espace et dans le temps des caractéristiques de la végétation telles que sa hauteur moyenne, minimale et maximale. Cette approche peut être utile pour comprendre quels facteurs environnementaux promeuvent différents types de végétation ainsi que pour évaluer les changements à attendre au niveau de la végétation dans le futur sous différents régimes de changements climatiques. Dans une troisième partie de ma thèse, j'ai exploré la possibilité de prédire les assemblages de plantes premièrement en cumulant les prédictions obtenues à partir de modèles individuels pour chaque espèce. Cette méthode a le défaut de prédire trop d'espèces par rapport à ce qui est observé en réalité. J'ai finalement employé le modèle de richesse en espèce développé précédemment pour contraindre les résultats du modèle d'assemblage de plantes. Cela a permis l'amélioration des modèles en réduisant la sur-prédiction et en améliorant la prédiction de la composition en espèces. Cette méthode semble prometteuse mais de nouveaux tests sont nécessaires pour bien évaluer ses capacités.

Análisis de las principales variables determinantes de la evolución de la mortalidad por demencias en Andalucía.

BACKGROUND The dementias are a cause of mortality have increased over the last years. Therefore is important to analyze the variables more related to its development in Andalusia between 1999 and 2010. METHODS With the deaths of 60 and over by dementia from Andalusia Statistical Institute and the populations from corresponding years, are estimated crude mortality rates, standardized and age-specific; by joinpoint regression was calculated percentages annual change; and also, with the population estimates by marital status and deaths was calculated crude rates and standardized for age, sex and marital status. RESULTS The standardized mortality rates increased from 124.8 to 161.0 deaths per 100,000 in women and 110.3 to 147.7 in men, the annual increase was 4.2% and 3.8% in women and men. The women died more than men with a standardized rate ratio between 1.08 and 1.29. Age was the variable that determined mortality. CONCLUSIONS Mortality from dementia in Andalusia has increased over the past 12 years and will continue to increase with the consequent social and health impacts posed by these diseases, configured as a major health problem.

Social inequalities and mortality in Europe-results from a large multi-national cohort

BACKGROUND Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans. METHODS A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socio-economic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality. RESULTS Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries. DISCUSSION In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reported.

El espacio como producto social: variables arqueológicas para un análisis de la organización social en prehistoria

El espacio social es un concepto ambiguo cuyo componente material está determinado por el carácter del componente social, puesto que la organización de los objetos en el espacio y el espacio mismo, responden a las normas sociales del comportamiento humano. Partimos de la premisa que los residuos generados durante el proceso de producción y del consumo tienden a tener una distribución relativamente regular en el espacio físico. La ausencia de la aleatoriedad en la dispersión de estos restos solo significa que habían sido acumulados y depositados como restos de acciones previamente planificadas no-aleatoriamente. En este trabajo planteamos estudiar la organización y la producción del espacio social de una sociedad cazadora-recolectora concreta – la sociedad yámana - a través del análisis de las actividades cotidianas que figuran en las fuentes etnográficas y en el registro arqueológico. Con este fin creamos una metodología de trabajo interdisciplinaria, basada en un enfoque etnoarqueológico, y a través del estudio de las fuentes etnográficas, los trabajos etnoarqueológicos previos y el registro arquelógico concreto, descubrimos cuáles son las posibilidades y limitaciones de este tipo de estudios. Pudimos reconocer la regularidad espacial de los procesos de producción y reproducción social y a resolver algunas preguntas acerca del estudio de la organización social en prehistoria trabajando con los datos etnoarqueológicos obtenidos en los yacimientos Lanashuaia y Túnel VII (Tierra del Fuego, Argentina), analizando el registro extraido y trabajado en varias campañas de excavaciones arqueológicas en ultimos 25 años. El presente trabajo al fondo es un experimento etnoarqueológico estándar: partiendo de la observación etnográfica registramos unas recurrencias específicas entre algunas variables (por ejemplo: mujer/lugar/tipo de trabajo), intentamos extraer las variables definitorias de esas recurrencias, y finalmente las buscamos en el espacio definido arqueológicamente.  

The use of palliative sedation: A comparison of attitudes of French-speaking physicians from Quebec and Switzerland.

OBJECTIVE: Previous literature has suggested that laws and regulations may impact the use of palliative sedation. Our present study compares the attitudes of French-speaking physicians practicing in the Quebec and Swiss environments, where different laws are in place regarding physician-assisted suicide. METHOD: Data were drawn from two prior studies, one by Blondeau and colleagues and another by Beauverd and coworkers, employing the same two-by-two experimental design with length of prognosis and type of suffering as independent variables. Both the effect of these variables and the effect of their interaction on Swiss and Quebec physicians' attitudes toward sedation were compared. The written comments of respondents were submitted to a qualitative content analysis and summarized in a comparative perspective. RESULTS: The analysis of variance showed that only the type of suffering had an effect on physicians' attitudes toward sedation. The results of the Wilcoxon test indicated that the attitudes of physicians from Quebec and Switzerland tended to be different for two vignettes: long-term prognosis with existential suffering (p = 0.0577) and short-term prognosis with physical suffering (p = 0.0914). In both cases, the Swiss physicians were less prone to palliative sedation. SIGNIFICANCE OF RESULTS: The attitudes of physicians from Quebec and Switzerland toward palliative sedation, particularly regarding prognosis and type of suffering, seem similar. However, the results suggest that physicians from Quebec could be slightly more open to palliative sedation, even though most were not in favor of this practice as an answer to end-of-life existential suffering.