Life Experiences of People Affected by Crohn’s Disease and Their Support Networks Scoping Review

This scoping review identifies and describes relevant studies related to the evidence published on life experiences and perceived social support of people affected by Crohn’s disease. Twenty-three studies were definitely selected and analyzed for the topics explored. The overall findings show patients’ needs and perceptions. There is a lack of evidence about patients’ perceived needs as well as the understanding of social support that has contributed to improve their life experiences with that chronic illness. Lack of energy, loss of body control, body image damaged due to different treatments and surgeries, symptoms related to fear of disease, feeling burdened loss related to independence, and so on are some of the concerns with having to live with those affected by the Crohn. To underline those experiences through this scoping review provides valuable data for health care teams, especially for the nursing profession, considered by those affected as one of the main roles along the whole pathological process. This review provides the basis for developing broader research on the relatively underexplored topics and consequently improves specific programs that could address patients’ needs.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

Poster presented in the 24th European Symposium on Computer Aided Process Engineering (ESCAPE 24), Budapest, Hungary, June 15-18, 2014.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

In this work, we analyze the effect of incorporating life cycle inventory (LCI) uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear programming (MILP) coupled with a two-step transformation scenario generation algorithm with the unique feature of providing scenarios where the LCI random variables are correlated and each one of them has the desired lognormal marginal distribution. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study of a petrochemical supply chain. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact, and moreover the correlation among environmental burdens provides more realistic scenarios for the decision making process.

“I'm not the woman I was”: Women´s perceptions on the effects of fibromyalgia on private life

In this qualitative study we explored how gender shapes the women´s experiences of living with Fibromyalgia and how it affects their private lives. Through thematic analysis of data from 13 in-depth interviews in Spain, we identified 7 themes which reflect that these women feel remorse and frustration for not being able to continue to fulfil the gender expectation of caring for others and for the home. This research contributes to a better understanding into what suffering from fibromyalgia implies for women and provides insights into how family and providers can support women with fibromyalgia in order to achieve a beneficial lifestyle.

Life-cycle portfolio choice with liquid and illiquid financial assets

Traditionally, quantitative models that have studied households׳ portfolio choices have focused exclusively on the different risk properties of alternative financial assets. We introduce differences in liquidity across assets in the standard life-cycle model of portfolio choice. More precisely, in our model, stocks are subject to transaction costs, as considered in recent macroliterature. We show that when these costs are calibrated to match the observed infrequency of households׳ trading, the model is able to generate patterns of portfolio stock allocation over age and wealth that are constant or moderately increasing, thus more in line with the existing empirical evidence.