L'Inventaire des risques et des besoins liés aux facteurs criminogènes (IRBC) : évaluation des propriétés métriques de l'instrument

L’Inventaire des risques et des besoins liés aux facteurs criminogènes (IRBC) est un instrument utilisé depuis le début des années 1990 pour évaluer les risques de récidive des jeunes contrevenants québécois. Il est le produit d’une collaboration du Québec avec l’Ontario, survenue dans le cadre de travaux de recherche effectués sur les instruments d’évaluation du risque de récidive des jeunes contrevenants. L’IRBC est donc le seul instrument précisément conçu pour évaluer les risques de récidive des jeunes contrevenants québécois et il n’a jamais fait l’objet d’une démarche visant à tester sa validité prédictive. Le but de ce projet de mémoire est de tester la validité prédictive de l’IRBC. Des analyses de courbes ROC et des analyses de survie ont été utilisées pour tester les propriétés métriques de l’instrument. Ces analyses suggèrent que, dans l’ensemble, l’IRBC arrive à prédire la récidive de façon acceptable. Quatre des huit grands domaines associés à la récidive, communément appelé BIG FOUR, seraient des prédicteurs modérés de la récidive lorsque testés avec les données issues de l’IRBC. Il s’agit des domaines Antécédents, Pairs, Personnalité-Comportements, et Attitudes-Tendances. Des aspects en lien avec la fidélité de l’instrument témoignent toutefois d’irrégularités dans le processus d’évaluation, ce qui interroge le niveau de rigueur maintenu au jour le jour par les professionnels. Des aspects en lien avec la fidélité de l’IRBC demeureraient à investiguer.

Risk Aversion in Inventory Management

Traditional inventory models focus on risk-neutral decision makers, i.e., characterizing replenishment strategies that maximize expected total profit, or equivalently, minimize expected total cost over a planning horizon. In this paper, we propose a framework for incorporating risk aversion in multi-period inventory models as well as multi-period models that coordinate inventory and pricing strategies. In each case, we characterize the optimal policy for various measures of risk that have been commonly used in the finance literature. In particular, we show that the structure of the optimal policy for a decision maker with exponential utility functions is almost identical to the structure of the optimal risk-neutral inventory (and pricing) policies. Computational results demonstrate the importance of this approach not only to risk-averse decision makers, but also to risk-neutral decision makers with limited information on the demand distribution.

Predicci??n de riesgo de reincidencia en agresores sexuales

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Efectos del consumo de cigarrillo en la presentación y severidad de la dismenorrea

Introducción: La dismenorrea se presenta como una patología cada vez más frecuente en mujeres de 16-30 años. Dentro de los factores asociados a su presentación, el consumo de tabaco ha revelado resultados contradictorios. El objetivo del presente estudio es explorar la asociación entre el consumo de cigarrillo y la presentación de dismenorrea, y determinar si los trastornos del ánimo y la depresión, alteran dicha asociación. Materiales y métodos: Se realizó un estudio de prevalencia analítica en mujeres de la Universidad del Rosario matriculadas en pregrado durante el primer semestre de 2013, para determinar la asociación entre el consumo de tabaco y la presentación de dismenorrea. En el estudio se tuvieron en cuenta variables tradicionalmente relacionadas con dismenorrea, incluyendo las variables ansiedad y depresión como potenciales variables de confusión. Los registros fueron analizados en el programa Estadístico IBM SPSS Statistics Versión 20.0. Resultados: Se realizaron 538 cuestionarios en total. La edad promedio fue 19.92±2.0 años. La prevalencia de dismenorrea se estimó en 89.3%, la prevalencia de tabaquismo 11.7%. No se encontró una asociación entre dismenorrea y tabaquismo (OR 3.197; IC95% 0.694-14.724). Dentro de las variables analizadas, la depresión y la ansiedad constituyen factores de riesgo independientes para la presentación de dismenorrea con una asociación estadísticamente significativa p=0.026 y p=0.024 respectivamente. El análisis multivariado encuentra como factor determinante en la presentación de dismenorrea, la interacción de depresión y ansiedad controlando por las variables tradicionales p<0.0001. Sin embargo, esta asociación se pierde cuando se analiza en la categoría de dismenorrea severa y gana relevancia el uso de métodos de anticoncepción diferentes a los hormonales, mientras que el hecho de haber iniciado la vida sexual presenta una tendencia limítrofe de riesgo. Conclusiones: No se puede demostrar que el tabaco es un factor asociado a la presentación de dismenorrea. Los trastornos del ánimo y la ansiedad constituyen factores determinantes a la presentación de dismenorrea independientemente de la presencia de otros concomitantes. Las variables de asociación se modifican cuando la variable dependiente se categoriza en su estado más severo. Se necesitan estudios más amplios y detallados para establecer dicha asociación.

Niveles de actividad física, condición física y tiempo en pantallas en escolares de Bogotá, Colombia: Estudio FUPRECOL

Examina la relación entre los niveles de actividad física (AF) de forma objetiva, la condición física (CF) y el tiempo de exposición a pantallas en niños y adolescentes de Bogotá, Colombia.

Valores del índice cintura/cadera en población escolar de Bogotá, Colombia: Estudio

Objetivo: Determinar los valores del índice cintura/cadera (ICC) en una población escolar de Bogotá, Colombia, pertenecientes al estudio FUPRECOL. Métodos: Estudio descriptivo y transversal, realizado en 3.005 niños y 2.916 adolescentes de entre 9 y 17,9 años de edad, pertenecientes a 24 instituciones educativas oficiales de Bogotá, Colombia. Se tomaron medidas de peso, talla, circunferencia de cintura, circunferencia de cadera. El estado de maduración sexual se recogió por auto-reporte. Se calcularon los percentiles (P3, P10, P25, P50, P75, P90 y P97) según sexo y edad y se realizó una comparación entre los valores del ICC observados con estándares internacionales. Resultados: De la población general (n=5.921), el 57,0% eran mujeres (promedio de edad 12,7 ± 2,3 años). En todas las edades el ICC fue mayor en los varones que en las mujeres, observándose un descenso en la media de los valores obtenidos desde los 9 hasta los 17,9 años. En varones, los valores del ICC mayores del P90 (asociados a riesgo cardiovascular) estuvieron en el rango 0,87 y 0,93 y en las mujeres entre 0,85 y 0,89. Al comparar los resultados de este estudio, por grupos de edad y sexo, con trabajos internacionales de niños y adolescentes de Europa, Suramérica, Asia y África, se observa que los valores del ICC fueron menores en este estudio en ambos sexos, con excepción de los escolares originarios de Grecia y Venezuela. Conclusiones: Se presentan percentiles del ICC según edad y sexo que podrán ser usados de referencia en la evaluación del estado nutricional y en la predicción del riesgo cardiovascular desde edades tempranas en población de Bogotá, Colombia.

Percentiles de circunferencia de cintura en escolares de Bogotá, Colombia Estudio FUPRECOL

Objetivo: Determinar la distribución por percentiles de la circunferencia de cintura en una población escolar de Bogotá, Colombia, pertenecientes al estudio FUPRECOL. Métodos: Estudio transversal, realizado en 3.005 niños y 2.916 adolescentes de entre 9 y 17,9 años de edad, de Bogotá, Colombia. Se tomaron medidas de peso, talla, circunferencia de cintura, circunferencia de cadera y estado de maduración sexual por auto-reporte. Se calcularon los percentiles (P3, P10, P25, P50, P75, P90 y P97) y curvas centiles según sexo y edad. Se realizó una comparación entre los valores de la circunferencia de cintura observados con estándares internacionales. Resultados: De la población general (n=5.921), el 57,0% eran chicas (promedio de edad 12,7±2,3 años). En la mayoría de los grupos etáreos la circunferencia de cintura de las chicas fue inferior a la de los chicos. El aumento entre el P50-P97 de la circunferencia de cintura , por edad, fue mínimo de 15,7 cm en chicos de 9-9.9 años y de 16,0 cm en las chicas de 11-11.9 años. Al comparar los resultados de este estudio, por grupos de edad y sexo, con trabajos internacionales de niños y adolescentes, el P50 fue inferior al reportado en Perú e Inglaterra a excepción de los trabajos de la India, Venezuela (Mérida), Estados Unidos y España. Conclusiones: Se presentan percentiles de la circunferencia de cintura según edad y sexo que podrán ser usados de referencia en la evaluación del estado nutricional y en la predicción del riesgo cardiovascular desde edades tempranas.

Análisis de supervivencia en pacientes con prótesis valvular biológica, Fundación Cardioinfantil-Instituto de Cardiología, Colombia, 2005-2013

Introducción: A partir de la década de los cincuenta el manejo de la enfermedad valvular presenta cambios significativos cuando se incorporan los reemplazos valvulares tanto mecánicos como biológicos dentro de las opciones de tratamiento quirúrgico (1). Las válvulas biológicas se desarrollaron como una alternativa que buscaba evitar los problemas relacionados con la anticoagulación y con la idea de utilizar un tejido que se comportara hemodinámicamente como el nativo. Este estudio está enfocado en establecer la sobrevida global y la libertad de reoperación de la válvula de los pacientes sometidos a reemplazo valvular aórtico y mitral biológicos en la Fundación Cardioinfantil - IC a 1, 3, 5 y 10 años. Materiales y métodos: Estudio de cohorte retrospectiva de supervivencia de pacientes sometidos a reemplazo valvular aórtico y/o mitral biológico intervenidos en la Fundación Cardioinfantil entre 2005 y 2013. Resultados: Se obtuvieron 919 pacientes incluidos en el análisis general y 876 (95,3%) pacientes con seguimiento efectivo para el análisis de sobrevida. La edad promedio fue 64años. La sobrevida a 1, 3, 5 y 10 años fue 95%,90%,85% y 69% respectivamente. El seguimiento efectivo para el desenlace reoperación fue del 55% y se encontró una libertad de reoperación del 99%, 96%, 93% y 81% a los 1, 3, 5 y 10 años. No hubo diferencias significativas entre la localización de la válvula ni en el tipo de válvula aortica empleada. Conclusiones: La sobrevida de los pacientes que son llevados a reemplazo valvular biológico en este estudio es comparable a grandes cohortes internacionales. La sobrevida de los pacientes llevados a reemplazo valvular con prótesis biológicas en posición mitral y aortica fue similar a 1, 3, 5 y 10 años.

Uncertainty assessment of a process-based integrated catchment model of phosphorus

Despite the many models developed for phosphorus concentration prediction at differing spatial and temporal scales, there has been little effort to quantify uncertainty in their predictions. Model prediction uncertainty quantification is desirable, for informed decision-making in river-systems management. An uncertainty analysis of the process-based model, integrated catchment model of phosphorus (INCA-P), within the generalised likelihood uncertainty estimation (GLUE) framework is presented. The framework is applied to the Lugg catchment (1,077 km2), a River Wye tributary, on the England–Wales border. Daily discharge and monthly phosphorus (total reactive and total), for a limited number of reaches, are used to initially assess uncertainty and sensitivity of 44 model parameters, identified as being most important for discharge and phosphorus predictions. This study demonstrates that parameter homogeneity assumptions (spatial heterogeneity is treated as land use type fractional areas) can achieve higher model fits, than a previous expertly calibrated parameter set. The model is capable of reproducing the hydrology, but a threshold Nash-Sutcliffe co-efficient of determination (E or R 2) of 0.3 is not achieved when simulating observed total phosphorus (TP) data in the upland reaches or total reactive phosphorus (TRP) in any reach. Despite this, the model reproduces the general dynamics of TP and TRP, in point source dominated lower reaches. This paper discusses why this application of INCA-P fails to find any parameter sets, which simultaneously describe all observed data acceptably. The discussion focuses on uncertainty of readily available input data, and whether such process-based models should be used when there isn’t sufficient data to support the many parameters.

Evaluating the risk of non-point source pollution from biosolids: integrated modelling of nutrient losses at field and catchment scales

A semi-distributed model, INCA, has been developed to determine the fate and distribution of nutrients in terrestrial and aquatic systems. The model simulates nitrogen and phosphorus processes in soils, groundwaters and river systems and can be applied in a semi-distributed manner at a range of scales. In this study, the model has been applied at field to sub-catchment to whole catchment scale to evaluate the behaviour of biosolid-derived losses of P in agricultural systems. It is shown that process-based models such as INCA, applied at a wide range of scales, reproduce field and catchment behaviour satisfactorily. The INCA model can also be used to generate generic information for risk assessment. By adjusting three key variables: biosolid application rates, the hydrological connectivity of the catchment and the initial P-status of the soils within the model, a matrix of P loss rates can be generated to evaluate the behaviour of the model and, hence, of the catchment system. The results, which indicate the sensitivity of the catchment to flow paths, to application rates and to initial soil conditions, have been incorporated into a Nutrient Export Risk Matrix (NERM).

Population-level assessment of risks of pesticides to birds and mammals in the UK

It is generally acknowledged that population-level assessments provide,I better measure of response to toxicants than assessments of individual-level effects. population-level assessments generally require the use of models to integrate potentially complex data about the effects of toxicants on life-history traits, and to provide a relevant measure of ecological impact. Building on excellent earlier reviews we here briefly outline the modelling options in population-level risk assessment. Modelling is used to calculate population endpoints from available data, which is often about Individual life histories, the ways that individuals interact with each other, the environment and other species, and the ways individuals are affected by pesticides. As population endpoints, we recommend the use of population abundance, population growth rate, and the chance of population persistence. We recommend two types of model: simple life-history models distinguishing two life-history stages, juveniles and adults; and spatially-explicit individual-based landscape models. Life-history models are very quick to set up and run, and they provide a great deal or insight. At the other extreme, individual-based landscape models provide the greatest verisimilitude, albeit at the cost of greatly increased complexity. We conclude with a discussion of the cations of the severe problems of parameterising models.

An integrated assessment of carbon dioxide capture and storage in the UK

Geological carbon dioxide storage (CCS) has the potential to make a significant contribution to the decarbonisation of the UK. Amid concerns over maintaining security, and hence diversity, of supply, CCS could allow the continued use of coal, oil and gas whilst avoiding the CO2 emissions currently associated with fossil fuel use. This project has explored some of the geological, environmental, technical, economic and social implications of this technology. The UK is well placed to exploit CCS with a large offshore storage capacity, both in disused oil and gas fields and saline aquifers. This capacity should be sufficient to store CO2 from the power sector (at current levels) for a least one century, using well understood and therefore likely to be lower-risk, depleted hydrocarbon fields and contained parts of aquifers. It is very difficult to produce reliable estimates of the (potentially much larger) storage capacity of the less well understood geological reservoirs such as non-confined parts of aquifers. With the majority of its large coal fired power stations due to be retired during the next 15 to 20 years, the UK is at a natural decision point with respect to the future of power generation from coal; the existence of both national reserves and the infrastructure for receiving imported coal makes clean coal technology a realistic option. The notion of CCS as a ‘bridging’ or ‘stop-gap’ technology (i.e. whilst we develop ‘genuinely’ sustainable renewable energy technologies) needs to be examined somewhat critically, especially given the scale of global coal reserves. If CCS plant is built, then it is likely that technological innovation will bring down the costs of CO2 capture, such that it could become increasingly attractive. As with any capitalintensive option, there is a danger of becoming ‘locked-in’ to a CCS system. The costs of CCS in our model for UK power stations in the East Midlands and Yorkshire to reservoirs in the North Sea are between £25 and £60 per tonne of CO2 captured, transported and stored. This is between about 2 and 4 times the current traded price of a tonne of CO2 in the EU Emissions Trading Scheme. In addition to the technical and economic requirements of the CCS technology, it should also be socially and environmentally acceptable. Our research has shown that, given an acceptance of the severity and urgency of addressing climate change, CCS is viewed favourably by members of the public, provided it is adopted within a portfolio of other measures. The most commonly voiced concern from the public is that of leakage and this remains perhaps the greatest uncertainty with CCS. It is not possible to make general statements concerning storage security; assessments must be site specific. The impacts of any potential leakage are also somewhat uncertain but should be balanced against the deleterious effects of increased acidification in the oceans due to uptake of elevated atmospheric CO2 that have already been observed. Provided adequate long term monitoring can be ensured, any leakage of CO2 from a storage site is likely to have minimal localised impacts as long as leaks are rapidly repaired. A regulatory framework for CCS will need to include risk assessment of potential environmental and health and safety impacts, accounting and monitoring and liability for the long term. In summary, although there remain uncertainties to be resolved through research and demonstration projects, our assessment demonstrates that CCS holds great potential for significant cuts in CO2 emissions as we develop long term alternatives to fossil fuel use. CCS can contribute to reducing emissions of CO2 into the atmosphere in the near term (i.e. peak-shaving the future atmospheric concentration of CO2), with the potential to continue to deliver significant CO2 reductions over the long term.

Entropic risk analysis by a high level decision support system (e-FDSS) for construction SMEs

The method of entropy has been useful in evaluating inconsistency on human judgments. This paper illustrates an entropy-based decision support system called e-FDSS to the solution of multicriterion risk and decision analysis in projects of construction small and medium enterprises (SMEs). It is optimized and solved by fuzzy logic, entropy, and genetic algorithms. A case study demonstrated the use of entropy in e-FDSS on analyzing multiple risk criteria in the predevelopment stage of SME projects. Survey data studying the degree of impact of selected project risk criteria on different projects were input into the system in order to evaluate the preidentified project risks in an impartial environment. Without taking into account the amount of uncertainty embedded in the evaluation process; the results showed that all decision vectors are indeed full of bias and the deviations of decisions are finally quantified providing a more objective decision and risk assessment profile to the stakeholders of projects in order to search and screen the most profitable projects.

The SAFE FOODS framework for improved risk analysis of foods

Three main changes to current risk analysis processes are proposed to improve their transparency, openness, and accountability. First, the addition of a formal framing stage would allow interested parties, experts and officials to work together as needed to gain an initial shared understanding of the issue, the objectives of regulatory action, and alternative risk management measures. Second, the scope of the risk assessment is expanded to include the assessment of health and environmental benefits as well as risks, and the explicit consideration of economic- and social-impacts of risk management action and their distribution. Moreover approaches were developed for deriving improved information from genomic, proteomic and metabolomic profiling methods and for probabilistic modelling of health impacts for risk assessment purposes. Third, in an added evaluation stage, interested parties, experts, and officials may compare and weigh the risks, costs, and benefits and their distribution. As part of a set of recommendations on risk communication, we propose that reports on each stage should be made public.

A value chain approach to animal diseases risk management: technical foundations and practical framework for field application

Classical risk assessment approaches for animal diseases are influenced by the probability of release, exposure and consequences of a hazard affecting a livestock population. Once a pathogen enters into domestic livestock, potential risks of exposure and infection both to animals and people extend through a chain of economic activities related to producing, buying and selling of animals and products. Therefore, in order to understand economic drivers of animal diseases in different ecosystems and to come up with effective and efficient measures to manage disease risks from a country or region, the entire value chain and related markets for animal and product needs to be analysed to come out with practical and cost effective risk management options agreed by actors and players on those value chains. Value chain analysis enriches disease risk assessment providing a framework for interdisciplinary collaboration, which seems to be in increasing demand for problems concerning infectious livestock diseases. The best way to achieve this is to ensure that veterinary epidemiologists and social scientists work together throughout the process at all levels.