Asociación de estrés laboral y trastornos hipertensivos en el embarazo

Objetivo: Determinar la prevalencia de trastornos hipertensivos y estrés laboral en las gestantes trabajadoras atendidas en la Clínica Cafam en el mes de noviembre de 2012, y estimar la posible asociación entre estas dos variables. Metodología: Se realizó un estudio de corte transversal. Se incluyeron todas las pacientes gestantes trabajadoras entre 18 y 39 años, con gestación mayor de 20 semanas y feto vivo, sin antecedentes patológicos de importancia, que ingresaron al servicio de hospitalización general y la unidad de cuidado intermedio obstétrico del 1 al 30 de noviembre de 2012 (total de 252). Para medir el nivel de estrés laboral se aplicó una encuesta validada por el Ministerio de Protección social, previo consentimiento informado y se realizó revisión de las historias clínicas para identificar las pacientes con trastornos hipertensivos del embarazo. Resultados: Se incluyeron pacientes de 18 a 39 años encontrando una media de 26.9 años con una desviación estándar de 5,08. 208 pacientes (82.5%) tenían entre 36 y 40 semanas de gestación, 123 maternas cursaban su primera gestación (48.8%) y, la mayoría tienen una relación estable. Respecto al nivel educativo la formación técnica y el bachillerato fueron los más encontrados (38.49% y 35.32% respectivamente). 102 gestantes (40.48%) desempeñan cargos de auxiliar o asistente seguidos de los trabajos operativos en un 30.56% (77 personas). De las 252 pacientes del estudio, 22 maternas tenían hipertensión gestacional, 28 preeclampsia y 1 síndrome HELLP para un total de 20.24% de gestantes con patología. Hay un alto porcentaje de estrés laboral en la población estudiada (40.08%). Al realizar el análisis de los datos se encontró que la probabilidad que tienen las pacientes con algún trastorno hipertensivo de tener estrés laboral es mayor que la de las pacientes que no presentan patología (OR 1.43 con IC 95% de 0.8 a 2.55). Conclusiones. El estrés laboral tiene una alta prevalencia en la población gestante trabajadora y los resultados sugieren que puede ser uno de los factores contribuyentes en la aparición de trastornos hipertensivos en el embarazo.

Atribuciones sobre la pareja: Su papel como variable mediadora entre el apego y la satisfacción marital en parejas heterosexuales

Esta investigación se propuso evaluar el papel mediador de atribuciones sobre eventos negativos en la relación entre dimensiones del apego y satisfacción marital, en parejas heterosexuales en cohabitación o legalmente casadas (n = 183 parejas). Se pusieron a prueba dos modelos en los cuales las atribuciones de causalidad y responsabilidad reportadas por hombres y mujeres mediaban el efecto de las dimensiones del apego sobre su satisfacción. los modelos tomaron como unidad de análisis a la díada (pareja). Se realizaron análisis de vías, empleando ecuaciones estructurales, para estimar los efectos de variables del individuo y de su pareja sobre la satisfacción de cada miembro de la pareja con la relación. Se encontró que la relación entre dimensiones del apego y satisfacción se encuentra mediada, al menos parcialmente, por atribuciones tanto de causalidad como de responsabilidad. los resultados indicaron diferentes patrones de asociación entre variables para hombres y mujeres. Así mismo, se evidenciaron relaciones de mediación entre dimensiones del apego y atribuciones de un individuo y la satisfacción del otro miembro de la pareja. los resultados se discuten con base en la literatura sobre apego, cogniciones y satisfacción marital, y se sugieren preguntas para futuras investigaciones.

Influencia de la utilización de Internet en el crecimiento de las pequeñas y medianas empresas: un estudio empírico en una economía en desarrollo

Este estudio mide el efecto del uso del Internet en el crecimiento de pequeñas y medianas empresas (PYMES) en el contexto empresarial de una economía emergente. Se revisan estudios empíricos sobre el uso de Internet en PYMES y se describen factores que pueden tener una influencia en el uso del Internet y de su efecto en el crecimiento. Con una muestra de PYMES en México se contrasta el modelo de investigación usando ecuaciones estructurales. El efecto total del uso del Internet en el crecimiento de la muestra se considera plausible, con un porcentaje de varianza que explica el crecimiento en un 47%. El estudio sugiere algunas implicaciones para la teoría y para la gestión.

Relationships between adolescents and parents values and parents answering behaviour

In this paper we set out a confirmatory factor analysis model relating the values adolescents and their parents aspire to for the child’s future. We approach a problem when collecting parents’ answers and analysing paired data from parents and their child: the fact that in some families only one parent answers, while in others both meet to answer together. In order to account for differences between one-parent and two-parent responses we follow a multiple group structural equation modelling approach. Some significant differences emerged between the two and one answering parent groups. We observed only weak relationships between parents’ and children’s values

Key competences in the new ventures: a model for evaluating

This research studies from an internal view based on the Competency-Based Perspective (CBP), key organizational competencies developed for small new business. CBP is chosen in an attempt to explain the differences characterizing the closed companies from the consolidated ones. The main contribution of this paper is the definition of a set of key organizational competencies for new ventures from services and low technology based sectors. Using the classification proposed by [1] and a review of the entrepreneurship literature, the main competencies were defined and classified as: managerial, input-based, transformation-based, and output-based competencies. The proposed model for evaluating new ventures organizational competence is tested by means of Structural Equation

Determinants of consumers’ willingness to accept GM foods

This paper investigates Willingness to Accept (WTA) Genetic Modification (GM) foods based on experimental auctions carried out in the USA, UK and France. It explores perceptions of risk and benefits, moral concerns and their antecedents, attitudes to the environment and technology and trust in various sources using Structural Equation Modelling (SEM). Trust in information provided by industry proved to be the most important determinant of risk/benefit perceptions and WTA followed by general attitudes to the environment and technology. Education and age are also enhance perceived benefits and lower perceived risks of GM. Perception of risk/benefit and moral concerns all have significant effects on consumers' WTA but the perceived benefits are most important. The research suggests that trust-building by industry would be the most effective in enhancing GM acceptance.

Modelling bi-directional research: a fresh approach to stakeholder theory

Purpose – While Freeman's stakeholder management approach has attracted much attention from both scholars and practitioners, little empirical work has considered the interconnectedness of organisational perspectives and stakeholder perspectives. The purpose of this paper is to respond to this gap by developing and empirically testing a bi-directional model of organisation/stakeholder relationships. Design/methodology/approach – A conceptual framework is developed that integrates how stakeholders are affected by organisations with how they affect organisations. Quantitative data relating to both sides of the relationship are obtained from 700 customers of a European service organisation and analysed using partial least squares structural equation modelling technique. Findings – The findings provide empirical support for the notion of mutual dependency between organisations and stakeholders as advocated by stakeholder theorists. The results suggest that the way stakeholders relate to organisations is dependent on how organisations relate to stakeholders. Originality/value – The study is original on two fronts: first, it provides a framework and process that can be used by researchers to model bi-directional research with other stakeholder groups and in different contexts. Second, the study presents an example application of bi-directional research by empirically linking organisational and stakeholder expectations in the case of customers of a UK service organisation.

The effects of maternal postnatal depression and child sex on academic performance at age 16 years: a developmental approach

Background: Postnatal depression (PND) is associated with poor cognitive functioning in infancy and the early school years; long-term effects on academic outcome are not known. Method: Children of postnatally depressed (N = 50) and non-depressed mothers (N = 39), studied from infancy, were followed up at 16 years. We examined the effects on General Certificate of Secondary Education (GCSE) exam performance of maternal depression (postnatal and subsequent) and IQ, child sex and earlier cognitive development, and mother–child interactions, using structural equation modelling (SEM). Results: Boys, but not girls, of PND mothers had poorer GCSE results than control children. This was principally accounted for by effects on early child cognitive functioning, which showed strong continuity from infancy. PND had continuing negative effects on maternal interactions through childhood, and these also contributed to poorer GCSE performance. Neither chronic, nor recent, exposure to maternal depression had significant effects. Conclusions: The adverse effects of PND on male infants’ cognitive functioning may persist through development. Continuing difficulties in mother–child interactions are also important, suggesting that both early intervention and continuing monitoring of mothers with PND may be warranted.

Effective elements of cognitive behaviour therapy for psychosis: results of a novel type of subgroup analysis based on principal stratification

Background. Meta-analyses show that cognitive behaviour therapy for psychosis (CBT-P) improves distressing positive symptoms. However, it is a complex intervention involving a range of techniques. No previous study has assessed the delivery of the different elements of treatment and their effect on outcome. Our aim was to assess the differential effect of type of treatment delivered on the effectiveness of CBT-P, using novel statistical methodology. Method. The Psychological Prevention of Relapse in Psychosis (PRP) trial was a multi-centre randomized controlled trial (RCT) that compared CBT-P with treatment as usual (TAU). Therapy was manualized, and detailed evaluations of therapy delivery and client engagement were made. Follow-up assessments were made at 12 and 24 months. In a planned analysis, we applied principal stratification (involving structural equation modelling with finite mixtures) to estimate intention-to-treat (ITT) effects for subgroups of participants, defined by qualitative and quantitative differences in receipt of therapy, while maintaining the constraints of randomization. Results. Consistent delivery of full therapy, including specific cognitive and behavioural techniques, was associated with clinically and statistically significant increases in months in remission, and decreases in psychotic and affective symptoms. Delivery of partial therapy involving engagement and assessment was not effective. Conclusions. Our analyses suggest that CBT-P is of significant benefit on multiple outcomes to patients able to engage in the full range of therapy procedures. The novel statistical methods illustrated in this report have general application to the evaluation of heterogeneity in the effects of treatment.

Antecedents of attitude and intention towards counterfeit symbolic and experiential products

This paper investigates the impact of price consciousness, perceived risk, and ethical obligation on attitude and intention towards counterfeit products. Data were collected from a sample of 200 respondents via an online questionnaire. A conceptual model was derived and tested via structural equation modelling in the contexts of symbolic and experiential counterfeit products. Findings show differences in the factors (and weight thereof) impacting attitude and purchase intention in the two product contexts. Specifically, ethical obligation and perceived risk are found to be significant predictors of attitude towards both symbolic and counterfeit products, while price consciousness is found to predict only attitude towards experiential products, but not purchase intention in either counterfeit product context.

Evoked prior learning experience and approach to learning as predictors of academic achievement

Background. In separate studies and research from different perspectives, five factors are found to be among those related to higher quality outcomes of student learning (academic achievement). Those factors are higher self-efficacy, deeper approaches to learning, higher quality teaching, students’ perceptions that their workload is appropriate, and greater learning motivation. University learning improvement strategies have been built on these research results. Aim. To investigate how students’ evoked prior experience, perceptions of their learning environment, and their approaches to learning collectively contribute to academic achievement. This is the first study to investigate motivation and self-efficacy in the same educational context as conceptions of learning, approaches to learning and perceptions of the learning environment. Sample. Undergraduate students (773) from the full range of disciplines were part of a group of over 2,300 students who volunteered to complete a survey of their learning experience. On completing their degrees 6 and 18 months later, their academic achievement was matched with their learning experience survey data. Method. A 77-item questionnaire was used to gather students’ self-report of their evoked prior experience (self-efficacy, learning motivation, and conceptions of learning), perceptions of learning context (teaching quality and appropriate workload), and approaches to learning (deep and surface). Academic achievement was measured using the English honours degree classification system. Analyses were conducted using correlational and multi-variable (structural equation modelling) methods. Results. The results from the correlation methods confirmed those found in numerous earlier studies. The results from the multi-variable analyses indicated that surface approach to learning was the strongest predictor of academic achievement, with self-efficacy and motivation also found to be directly related. In contrast to the correlation results, a deep approach to learning was not related to academic achievement, and teaching quality and conceptions of learning were only indirectly related to achievement. Conclusions. Research aimed at understanding how students experience their learning environment and how that experience relates to the quality of their learning needs to be conducted using a wider range of variables and more sophisticated analytical methods. In this study of one context, some of the relations found in earlier bivariate studies, and on which learning intervention strategies have been built, are not confirmed when more holistic teaching–learning contexts are analysed using multi-variable methods.

Intrafirm causal ambiguity in an international context

This paper examined the incidence of intrafirmcausalambiguity in the management's perception concerning the critical drivers of their firms’ performance. Building on insights from the resource-based view we developed and tested hypotheses that examine (1) linkage ambiguity as a discrepancy between perceived and measured resource–performance linkages, (2) characteristic ambiguity for resources and capabilities with a high degree of complexity and tacitness, and (3) the negative association between linkage ambiguity and performance. The observations based on the explicit perceptions of 356 surveyed managers were contrasted with the empirical findings of the resource/performance relationship derived by structural equation modelling from the same data sample. The findings validate the presence of linkage ambiguity particularly in the case of resources and capabilities with higher degree of characteristic ambiguity. The findings also provide empirical evidence in support of the advocacy for a negative relationship between intrafirmcausalambiguity and performance. The paper discusses the potential reasons for the disparities between empirical findings and management's perceptions of the key determinants of export success and makes recommendations for future research.

A generalised Bayesian instrumental variable approach under student t-distributed errors with application

Bayesian analysis is given of an instrumental variable model that allows for heteroscedasticity in both the structural equation and the instrument equation. Specifically, the approach for dealing with heteroscedastic errors in Geweke (1993) is extended to the Bayesian instrumental variable estimator outlined in Rossi et al. (2005). Heteroscedasticity is treated by modelling the variance for each error using a hierarchical prior that is Gamma distributed. The computation is carried out by using a Markov chain Monte Carlo sampling algorithm with an augmented draw for the heteroscedastic case. An example using real data illustrates the approach and shows that ignoring heteroscedasticity in the instrument equation when it exists may lead to biased estimates.

Determinants of biosecurity behaviour of British cattle and sheep farmers: a behavioural economics analysis

The paper analyses the impact of a priori determinants of biosecurity behaviour of farmers in Great Britain. We use a dataset collected through a stratified telephone survey of 900 cattle and sheep farmers in Great Britain (400 in England and a further 250 in Wales and Scotland respectively) which took place between 25 March 2010 and 18 June 2010. The survey was stratified by farm type, farm size and region. To test the influence of a priori determinants on biosecurity behaviour we used a behavioural economics method, structural equation modelling (SEM) with observed and latent variables. SEM is a statistical technique for testing and estimating causal relationships amongst variables, some of which may be latent using a combination of statistical data and qualitative causal assumptions. Thirteen latent variables were identified and extracted, expressing the behaviour and the underlying determining factors. The variables were: experience, economic factors, organic certification of farm, membership in a cattle/sheep health scheme, perceived usefulness of biosecurity information sources, knowledge about biosecurity measures, perceived importance of specific biosecurity strategies, perceived effect (on farm business in the past five years) of welfare/health regulation, perceived effect of severe outbreaks of animal diseases, attitudes towards livestock biosecurity, attitudes towards animal welfare, influence on decision to apply biosecurity measures and biosecurity behaviour. The SEM model applied on the Great Britain sample has an adequate fit according to the measures of absolute, incremental and parsimonious fit. The results suggest that farmers’ perceived importance of specific biosecurity strategies, organic certification of farm, knowledge about biosecurity measures, attitudes towards animal welfare, perceived usefulness of biosecurity information sources, perceived effect on business during the past five years of severe outbreaks of animal diseases, membership in a cattle/sheep health scheme, attitudes towards livestock biosecurity, influence on decision to apply biosecurity measures, experience and economic factors are significantly influencing behaviour (overall explaining 64% of the variance in behaviour).

Developing green supply chain management taxonomy-based decision support system

The aim of this paper is to develop a comprehensive taxonomy of green supply chain management (GSCM) practices and develop a structural equation modelling-driven decision support system following GSCM taxonomy for managers to provide better understanding of the complex relationship between the external and internal factors and GSCM operational practices. Typology and/or taxonomy play a key role in the development of social science theories. The current taxonomies focus on a single or limited component of the supply chain. Furthermore, they have not been tested using different sample compositions and contexts, yet replication is a prerequisite for developing robust concepts and theories. In this paper, we empirically replicate one such taxonomy extending the original study by (a) developing broad (containing the key components of supply chain) taxonomy; (b) broadening the sample by including a wider range of sectors and organisational size; and (c) broadening the geographic scope of the previous studies. Moreover, we include both objective measures and subjective attitudinal measurements. We use a robust two-stage cluster analysis to develop our GSCM taxonomy. The main finding validates the taxonomy previously proposed and identifies size, attitude and level of environmental risk and impact as key mediators between internal drivers, external drivers and GSCM operational practices.