5 resultados para Linear mixed model

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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Purpose Encouraging office workers to 'sit less and move more' encompasses two public health priorities. However, there is little evidence on the effectiveness of workplace interventions for reducing sitting, even less about the longer term effects of such interventions and still less on dual-focused interventions. This study assessed the short and mid-term impacts of a workplace web-based intervention (Walk@WorkSpain, W@WS; 2010-11) on self-reported sitting time, step counts and physical risk factors (waist circumference, BMI, blood pressure) for chronic disease. Methods Employees at six Spanish university campuses (n=264; 42 +/- 10 years; 171 female) were randomly assigned by worksite and campus to an Intervention (used W@WS; n=129; 87 female) or a Comparison group (maintained normal behavior; n=135; 84 female). This phased, 19-week program aimed to decrease occupational sitting time through increased incidental movement and short walks. A linear mixed model assessed changes in outcome measures between the baseline, ramping (8 weeks), maintenance (11 weeks) and follow-up (two months) phases for Intervention versus Comparison groups. Results A significant 2 (group) x 2 (program phases) interaction was found for self-reported occupational sitting (F[3]=7.97, p=0.046), daily step counts (F[3]=15.68, p=0.0013) and waist circumference (F[3]=11.67, p=0.0086). The Intervention group decreased minutes of daily occupational sitting while also increasing step counts from baseline (446 +/- 126; 8,862 +/- 2,475) through ramping (+425 +/- 120; 9,345 +/- 2,435), maintenance (+422 +/- 123; 9,638 +/- 3,131) and follow-up (+414 +/- 129; 9,786 +/- 3,205). In the Comparison group, compared to baseline (404 +/- 106), sitting time remained unchanged through ramping and maintenance, but decreased at follow-up (-388 +/- 120), while step counts diminished across all phases. The Intervention group significantly reduced waist circumference by 2.1cms from baseline to follow-up while the Comparison group reduced waist circumference by 1.3cms over the same period. Conclusions W@WSis a feasible and effective evidence-based intervention that can be successfully deployed with sedentary employees to elicit sustained changes on "sitting less and moving more".

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Background Although depressive symptoms in first episode psychosis have been associated with cannabis abuse, their influence on the long-term functional course of FEP patients who abuse cannabis is unknown. The aims of the study were to examine the influence of subclinical depressive symptoms on the long-term outcome in first episode-psychosis patients who were cannabis users and to assess the influence of these subclinical depressive symptoms on the ability to quit cannabis use. Methods 64 FEP patients who were cannabis users at baseline were followed-up for 5 years. Two groups were defined: (a) patients with subclinical depressive symptoms at least once during follow-up (DPG), and (b) patients without subclinical depressive symptoms during follow-up (NDPG). Psychotic symptoms were measured using the Positive and Negative Syndrome Scale (PANSS), depressive symptoms using the Hamilton Depression Rating Scale (HDRS)-17, and psychosocial functioning was assessed using the Global Assessment of Functioning (GAF). A linear mixed-effects model was used to analyze the combined influence of cannabis use and subclinical depressive symptomatology on the clinical outcome. Results Subclinical depressive symptoms were associated with continued abuse of cannabis during follow-up (beta=4.45; 95% confidence interval [CI]: 1.78 to 11.17; P=.001) and with worse functioning (beta=-5.50; 95% CI: -9.02 to -0.33; P=.009). Conclusions Subclinical depressive symptoms and continued cannabis abuse during follow-up could be predictors of negative outcomes in FEP patients.

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[EN] This research provides a useful framework for identifying a small firms’ propensity to engage in entrepreneurial orientation. We examine the impact of the Entrepreneurial Orientation (EO) as a main resource and capability on small firm’ growth. The growth seems to come out as an important demonstration of the entrepreneurial orientation of small firms (Davidsson, 1989; Green and Brown, 1997; Janney and Gregory, 2006). Thus, this research builds on prior conceptual research that suggests a positive integration between entrepreneurial orientation and resource-based view. In the first instance, the research will focus on reviewing literature in the emerging area of entrepreneurial orientation as it applies to growth oriented small firms and resource-based view of the firm. Secondly, an empirical study was developed based on a stratified sample of small firms of manufacturing industry. Data were submitted to a multivariate statistical analysis and a linear regression model was performed in order to predict the influence of the resources and capabilities on small firms’ growth. In this sense, we consider the construct growth as a dependent variable and the ones relates with resources and capabilities (entrepreneur resources, firm resources, networks and EO) as independent variables. The research results suggest a set of resources and capabilities that promote the growth of the small firms. Also, the EO seems to have a predictive value on growth. Explaining variables related with resources and capabilities and EO were identified as essential in growth oriented small firms. It was still possible to conclude that the entrepreneurial firms which grew seem to have resources and develop more capabilities and take advantage in the search for those competences. This attitude reflects on the EO of the firm. This study has important implication for both researchers and practitioners. It highlights the necessity of firms to develop superior EO of all their members and also to invest on better resources and consequently superior capabilities as a way of reaching higher levels of growth. While previous authors have attempted to analyse certain aspects of this process (linkage between entrepreneurial orientation and growth), this research developed a framework that combines these and others factors (resource-based view) pertinent to growth oriented small firms. The results support the necessity to identify explicative variables of multiple levels to explain the growth of small firms. The adoption of an entrepreneurial orientation as an indispensable variable to the growth oriented small firms seems pertinent.

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[ES]Este trabajo tiene como objetivo analizar las soluciones existentes para el diseño de las líneas mixtas. Se trata de un tipo de líneas bastante complejas de diseñar y que por lo general han sido poco estudiadas por la sociedad académica, a pesar de las numerosas ventajas que ofrece en comparación a las líneas simples, mucho más investigadas. Para facilitar la comprensión de su diseño, y antes de su estudio, se realiza un análisis de las características de las líneas mixtas. Posteriormente se introduce una metodología desarrollada por Lluis Cuatrecasas (Presidente del Instituto Lean Management de España), que permite salvar la brecha que existe a su juicio entre los estudios sobre los diseños de este tipo de líneas y su aplicación a la empresa. Finalmente, se ilustra dicha metodología mediante un caso práctico y se evalúan sus fortalezas y debilidades.

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La actividad aseguradora supone la transferencia de riesgos del asegurado al asegurador. El asegurador se compromete al pago de una prestación si el riesgo se realiza. Se produce un cambio en el ciclo productivo. El asegurador vende una cobertura sin conocer el momento y el coste exacto de dicha cobertura. Esta particularidad de la actividad aseguradora explica la necesidad para una entidad aseguradora de ser solvente en cada momento y ante cualquier imprevisto. Por ello, la solvencia de las entidades aseguradoras es un aspecto que se ha ido recogiendo en las distintas normativas que han regulado la actividad aseguradora y al que se ha ido dando cada vez más importancia. Actualmente la legislación vigente en materia de solvencia de las aseguradoras esta regulada por la directiva europea Solvencia I. Esta directiva establece dos conceptos para garantizar la solvencia: las provisiones técnicas y el margen de solvencia. Las provisiones técnicas son las calculadas para garantizar la solvencia estática de la compañía, es decir aquella que hace frente, en un instante temporal determinado, a los compromisos asumidos por la entidad. El margen de solvencia se destina a cubrir la solvencia dinámica, aquella que hace referencia a eventos futuros que puedan afectar la capacidad del asegurador. Sin embargo en una corriente de gestión global del riesgo en la que el sector bancario ya se había adelantado al sector asegurador con la normativa Basilea II, se decidió iniciar un proyecto europeo de reforma de Solvencia I y en noviembre del 2009 se adoptó la directiva 2009/138/CE del parlamento europeo y del consejo, sobre el seguro de vida, el acceso a la actividad de seguro y de reaseguro y su ejercicio mas conocida como Solvencia II. Esta directiva supone un profundo cambio en las reglas actuales de solvencia para las entidades aseguradoras. Este cambio persigue el objetivo de establecer un marco regulador común a nivel europeo que sea más adaptado al perfil de riesgo de cada entidad aseguradora. Esta nueva directiva define dos niveles distintos de capital: el SCR (requerimiento estándar de capital de solvencia) y el MCR (requerimiento mínimo de capital). Para el calculo del SCR se ha establecido que el asegurador tendrá la libertad de elegir entre dos modelos. Un modelo estándar propuesto por la Autoridad Europea de Seguros y Pensiones de Jubilación (EIOPA por sus siglas en inglés), que permitirá un calculo simple, y un modelo interno desarrollado por la propia entidad que deberá ser aprobado por las autoridades competentes. También se contempla la posibilidad de utilizar un modelo mixto que combine ambos, el estándar y el interno. Para el desarrollo del modelo estándar se han realizado una serie de estudios de impacto cuantitativos (QIS). El último estudio (QIS 5) ha sido el que ha planteado de forma más precisa el cálculo del SCR. Plantea unos shocks que se deberán de aplicar al balance de la entidad con el objetivo de estresarlo, y en base a los resultados obtenidos constituir el SCR. El objetivo de este trabajo es realizar una síntesis de las especificaciones técnicas del QIS5 para los seguros de vida y realizar una aplicación práctica para un seguro de vida mixto puro. En la aplicación práctica se determinarán los flujos de caja asociados a este producto para calcular su mejor estimación (Best estimate). Posteriormente se determinará el SCR aplicando los shocks para los riesgos de mortalidad, rescates y gastos. Por último, calcularemos el margen de riesgo asociado al SCR. Terminaremos el presente TFG con unas conclusiones, la bibliografía empleada así como un anexo con las tablas empleadas.