Welfare state regimes and gender inequalities in the exposure to work-related psychosocial hazards

Background: Gender inequalities in the exposure to work-related psychosocial hazards are well established. However, little is known about how welfare state regimes influence these inequalities. Objectives: To examine the relationship between welfare state regimes and gender inequalities in the exposure to work-related psychosocial hazards in Europe, considering occupational social class. Methods: We used a sample of 27, 465 workers from 28 European countries. Dependent variables were high strain, iso-strain, and effort-reward imbalance, and the independent was gender. We calculated the prevalence and prevalence ratio separately for each welfare state regime and occupational social class, using multivariate logistic regression models. Results: More female than male managers/professionals were exposed to: high strain, iso-strain, and effort–reward imbalance in Scandinavian [adjusted prevalence ratio (aPR) = 2·26; 95% confidence interval (95% CI): 1·87–2·75; 2·12: 1·72–2·61; 1·41: 1·15–1·74; respectively] and Continental regimes (1·43: 1·23–1·54; 1·51: 1·23–1·84; 1·40: 1·17–1·67); and to high strain and iso-strain in Anglo-Saxon (1·92: 1·40–2·63; 1·85: 1·30–2·64; respectively), Southern (1·43: 1·14–1·79; 1·60: 1·18–2·18), and Eastern regimes (1·56: 1·35–1·81; 1·53: 1·28–1·83). Conclusion: Gender inequalities in the exposure to work-related psychosocial hazards were not lower in those welfare state regimes with higher levels of universal social protection policies.

Impact of economic crisis on mental health of migrant workers: what happened with migrants who came to Spain to work?

Objectives: To assess changes in mental health in a sample of migrant workers after the eruption of the economic crisis in Spain. Methods: 318 migrant workers were interviewed. Mental health, sociodemographic, and economic crisis related variables were obtained through face-to-face (2008) and phone (2011) interviews. Prevalence of poor mental health (PMH) was compared (2011–2008) and multivariate logistic regression models were fitted. Results: Change in prevalence of PMH was higher in men (aOR 4.63; 95 % CI 2.11–10.16). Subgroups of men showing the largest detrimental mental health effects were: unemployed, with low salaries (≤1,200 euros) and those reporting family burden. An increase of PMH was found in women, without significant associations. Conclusions: Mental health of migrant workers in Spain has worsened during the economic crisis.

Violence against young women attending primary care services in Spain: prevalence and health consequences

Background. There are a significant number of studies assessing the negative health consequences of violence against women. However, a limited number of studies analyse the health consequences of violence committed against young women by different types of aggressors. Objectives. The goal of this study is to assess the prevalence of interpersonal violence against young women in Spain and analyse its impact on the physical and mental health of the victims. Methods. A total of 1076 women aged 18–25 years attending Spanish primary care services were selected. We estimated the prevalence of interpersonal violence and compared the health data and demographic characteristics of abused and non-abused young women, multi-logistic regression models were fitted. The Wald test was used to assess whether there were differences in the negative health consequences of intimate partner (IPV) versus non-IPV. Results. As many as 27.6% young women reported a history of abuse, of whom 42.7% had been assaulted by their partner, 41.1% by someone other than their partner and 16.2% both by their partner and another person. The distribution of social and demographic characteristics was similar for IPV and non-IPV victims. Young abused women were three times more likely to suffer psychological distress and have somatic complaints, and they were four times more likely to use medication as compared to non-abused women. Conclusion. Our results suggest that all forms of violence compromise young women’s health seriously. Including patients’ history of abuse in their health record may help make more informed clinical decisions and provide a more integrated care.

Self-rated health and hospital services use in the Spanish National Health System: a longitudinal study

Background: Self-rated health is a subjective measure that has been related to indicators such as mortality, morbidity, functional capacity, and the use of health services. In Spain, there are few longitudinal studies associating self-rated health with hospital services use. The purpose of this study is to analyze the association between self-rated health and socioeconomic, demographic, and health variables, and the use of hospital services among the general population in the Region of Valencia, Spain. Methods: Longitudinal study of 5,275 adults who were included in the 2005 Region of Valencia Health Survey and linked to the Minimum Hospital Data Set between 2006 and 2009. Logistic regression models were used to calculate the odds ratios between use of hospital services and self-rated health, sex, age, educational level, employment status, income, country of birth, chronic conditions, disability and previous use of hospital services. Results: By the end of a 4-year follow-up period, 1,184 participants (22.4 %) had used hospital services. Use of hospital services was associated with poor self-rated health among both men and women. In men, it was also associated with unemployment, low income, and the presence of a chronic disease. In women, it was associated with low educational level, the presence of a disability, previous hospital services use, and the presence of chronic disease. Interactions were detected between self-rated health and chronic disease in men and between self-rated health and educational level in women. Conclusions: Self-rated health acts as a predictor of hospital services use. Various health and socioeconomic variables provide additional predictive capacity. Interactions were detected between self-rated health and other variables that may reflect different complex predictive models, by gender.

Perfil sociodemográfico del feminicidio en España y su relación con las denuncias por violencia de pareja

Objetivo: Analizar las características asociadas al riesgo de feminicidio en España entre mujeres expuestas a la violencia de pareja o análogo y su posible asociación con las denuncias a los agresores. Métodos: Se realizó un estudio de casos y controles para el periodo 2010-2011. Los casos, 135 mujeres mayores de edad, asesinadas por su pareja o análogo durante dicho periodo, se identificaron a través de la página web de la Federación de Asociaciones de Mujeres Separadas y Divorciadas, y de los informes del Consejo General del Poder Judicial. Los controles, 185 mujeres expuestas a la violencia de pareja el último año, proceden de la Macroencuesta de Violencia de Género 2011. La asociación entre la denuncia y el riesgo de feminicidio se estimó mediante modelos de regresión logística multivariada. Resultados: No se encontró asociación entre denunciar al agresor y el riesgo de ser asesinada (odds ratio [OR]: 1,38; intervalo de confianza del 95% [IC95%]: 0,68-2,79). Las mujeres inmigrantes expuestas a la violencia de pareja registraron una mayor probabilidad de ser asesinadas (ref.: mujeres españolas; OR: 5,38; IC95%: 2,41-11,99). Esta asociación también se observó en las mujeres que vivían en zonas rurales (ref: zonas urbanas; OR: 2,94; IC95%: 1,36-6,38). Conclusiones: La denuncia judicial al agresor no parece modificar el riesgo de asesinato entre las mujeres expuestas a la violencia de pareja. Las medidas de protección a las mujeres deberían extremarse en las mujeres inmigrantes y las que viven en el medio rural.

Modelos de regressão para identificação de marcadores preditivos de asma na descendência de mulheres com atopia

Trabalho de projecto de mestrado, Bioestatística, Universidade de Lisboa, Faculdade de Ciências, 2016

High prevalence of herpes simplex virus (HSV)- type 2 co-infection among HIV-positive women in Ukraine, but no increased HIV mother-to-child transmission risk.

BACKGROUND Over 3500 HIV-positive women give birth annually in Ukraine, a setting with high prevalence of sexually transmitted infections. Herpes simplex virus Type 2 (HSV-2) co-infection may increase HIV mother-to-child transmission (MTCT) risk. We explored factors associated with HSV-2 seropositivity among HIV-positive women in Ukraine, and its impact on HIV MTCT. METHODS Data on 1513 HIV-positive women enrolled in the Ukraine European Collaborative Study from 2007 to 2012 were analysed. Poisson and logistic regression models respectively were fit to investigate factors associated with HSV-2 seropositivity and HIV MTCT. RESULTS Median maternal age was 27 years (IQR 24-31), 53% (796/1513) had been diagnosed with HIV during their most recent pregnancy and 20% had a history of injecting drugs. Median antenatal CD4 count was 430 cells/mm(3) (IQR 290-580). Ninety-six percent had received antiretroviral therapy antenatally. HSV-2 seroprevalence was 68% (1026/1513). In adjusted analyses, factors associated with HSV-2 antibodies were history of pregnancy termination (APR 1.30 (95% CI 1.18-1.43) for ≥ 2 vs. 0), having an HIV-positive partner (APR 1.15 (95% CI 1.05-1.26) vs partner's HIV status unknown) and HCV seropositivity (APR 1.23 (95 % CI 1.13-1.35)). The overall HIV MTCT rate was 2.80% (95% CI 1.98-3.84); no increased HIV MTCT risk was detected among HSV-2 seropositive women after adjusting for known risk factors (AOR 1.43 (95% CI 0.54-3.77). CONCLUSION No increased risk of HIV MTCT was detected among the 68% of HIV-positive women with antibodies to HSV-2, in this population with an overall HIV MTCT rate of 2.8%. Markers of ongoing sexual risk among HIV-positive HSV-2 seronegative women indicate the importance of interventions to prevent primary HSV-2 infection during pregnancy in this high-risk group.

Is the association between late-life morbidity and disability attenuated over time? : Exploring the dynamic equilibrium of morbidity hypothesis

Context: There is evidence suggesting that the prevalence of disability in late life has declined over time while the prevalence of disabling chronic diseases has increased. The dynamic equilibrium of morbidity hypothesis suggests that these seemingly contradictory trends are due to the attenuation of the morbidity-disability link over time. The aim of this study was to empirically test this assumption.Methods: Data were drawn from three repeated cross-sections of SWEOLD, a population-based survey among the Swedish men and women ages 77 and older. Logistic regression models were fitted to assess the trends in the prevalence of Activities of Daily Living (ADL) disability, Instrumental ADL (IADL) disability, and selected groups of chronic conditions. The changes in the associations between chronic conditions and disabilities were examined in both multiplicative and additive models.Results: Between 1992 and 2011, the odds of ADL disability significantly declined among women whereas the odds of IADL disability significantly declined among men. During the same period, the prevalence of most chronic morbidities including multimorbidity went up. Significant attenuations of the morbidity-disability associations were found for cardiovascular diseases, metabolic disorders, poor lung function, psychological distress, and multimorbidity.Conclusion: In agreement with the dynamic equilibrium hypothesis, this study concludes that the associations between chronic conditions and disability among the Swedish older adults have largely waned over time.

Variáveis discriminantes para inferência da insolvência de empresas brasileiras: um estudo para o período de 2008 a 2016

This study aimed to determine if accounting and governance indicators are relevant to foresee the stages of financial stress of companies by using a logistic regression. With the formation of two samples was possible to verify if the inclusion of insolvency data defined by cash flow shortage events were relevant to increase model capacity for prediction of insolvency. The remaining insolvency stages were judicial reorganization and bankruptcy. The control sample is formed by healthy companies, from the same sector and size. The period of analysis includes events that occurred between January 2008 and March 2016. The main variables that showed significant results to predict insolvency states, a year before the event happens, were Profitability, Efficiency and Payment Capacity indicators. The Governance indicator was only significant to predict insolvency arising from judicial reorganization and bankruptcy. Among the models studied, the most accurate model presented total correctness capacity of 88,7%, classifying correctly 88% of solvent companies and 89,3% of insolvent companies. The results indicate the usefulness of financial indicators of Payment Capacity, Efficiency and Profitability, as well as the Governance variable, to discriminate the insolvency of companies.

The impact of depression on patient outcomes among older adults with lung cancer

Thesis (Ph.D.)--University of Washington, 2016-06

Factors associated with pregnant women's participation in a mHealth intervention in Timor-Leste

Thesis (Master's)--University of Washington, 2016-06

Birth-to-pregnancy intervals and adverse perinatal outcomes among African-born black women in Washington State.

Thesis (Master's)--University of Washington, 2016-06

Adherence to a Bronchiolitis Clinical Pathway is Associated with Decreased Length of Stay and Costs

Thesis (Master's)--University of Washington, 2016-06

On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples

We consider the problem of assessing the number of clusters in a limited number of tissue samples containing gene expressions for possibly several thousands of genes. It is proposed to use a normal mixture model-based approach to the clustering of the tissue samples. One advantage of this approach is that the question on the number of clusters in the data can be formulated in terms of a test on the smallest number of components in the mixture model compatible with the data. This test can be carried out on the basis of the likelihood ratio test statistic, using resampling to assess its null distribution. The effectiveness of this approach is demonstrated on simulated data and on some microarray datasets, as considered previously in the bioinformatics literature. (C) 2004 Elsevier Inc. All rights reserved.

Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images

Mixture models implemented via the expectation-maximization (EM) algorithm are being increasingly used in a wide range of problems in pattern recognition such as image segmentation. However, the EM algorithm requires considerable computational time in its application to huge data sets such as a three-dimensional magnetic resonance (MR) image of over 10 million voxels. Recently, it was shown that a sparse, incremental version of the EM algorithm could improve its rate of convergence. In this paper, we show how this modified EM algorithm can be speeded up further by adopting a multiresolution kd-tree structure in performing the E-step. The proposed algorithm outperforms some other variants of the EM algorithm for segmenting MR images of the human brain. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.