La conciliación del empleo y del hogar: respuesta y reflejo de una organización del trabajo construida desde la institución del género

A la luz del debate en torno a la relación entre la vida laboral y familiar, este artículo propone un modelo compuesto por las variables: sexo, edad, estudios, parentesco y dos índices nombrados por vsp y vsf. El primero (vsp) trata de situar a la población ocupada en una escala que refleje la situación en términos de modalidad de contrato, jornadas, ingresos y supervisión. El segundo refleja las cargas familiares. Se plantean dos versiones distintas del modelo: vsp como dependiente o vsf. El objetivo de este ejercicio es doble: 1) observar hasta qué punto las cargas domésticas influyen en la posición dentro del puesto de trabajo remunerado, y 2) averiguar qué variable sociodemográfica tiene mayor influencia sobre ellas. Los datos han sido extraídos de la Encuesta de Calidad de Vida en el Trabajo (ECVT 2001, 2002 y 2003). A la luz de los resultados, la distribución por sexo en «vsp» y «vsf» es significativamente distinta: los hombres asalariados ocupan las mejores posiciones. Además, el modelo sólo actúa para las mujeres asalariadas principales de familia (cabezas de familia y cónyuges). Esta última observación es completamente coherente con una organización de trabajo construida desde la institución del género.

Spontaneous Abortions and Shift Work in a Cohort of Nurses in Norway

Background: An association between spontaneous abortions and shift work has been suggested, but present research results are conflicting. The aim of the study is to evaluate the relationship between spontaneous abortions among nurses, shift schedules, and nights worked. Methods: This is a longitudinal study where we identified 914 females from a cohort of nurses in Norway who had worked the same type of shift schedule 2008-2010; either permanent day shift, three-shift rotation or permanent night shift. Information on age, work and life-style factors, as well as spontaneous abortions during lifetime and the past three years (2008-2010) was obtained by annual questionnaires. Results: A higher prevalence of experienced spontaneous abortions before study start (2008) was found among nurses working permanent night shift compared to other nurses. In a linear regression analysis, a risk of 1.3 was found for experienced spontaneous abortions before study start among permanent night shift nurses, with day shift as reference, when adjusting for age, smoking, caffeine and job strain, but the finding was not statistical significant (95 per cent confidence interval 0.8-2.1). Permanent night shift workers had a risk of 1.5 experiencing spontaneous abortions in 2008-2010 compared to day shift nurses, although not statistical significant (95 per cent confidence interval 0.7-3.5). The number of night shifts the past three years was not associated with experiencing spontaneous abortions 2008-2010, but associated with a reduced risk of experiencing spontaneous abortions during lifetime. The results must be interpreted in the light of a possible selection bias; both selections into the occupation of nursing and into the different shift types of the more healthy persons may have occurred in this population. Conclusion: No significant increased risk of spontaneous abortion among permanent night shift nurses compared to day-time nurses was found in this study, and no association was found between spontaneous abortions and the number of worked night shifts.

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.