Glaura C. Franco

Desigualdade social e mortalidade precoce por doenças cardiovasculares no Brasil

OBJETIVO: Investigar associacao entre alguns indicadores de nivel socioeconomico e mortalidade de adultos por doencas cardiovasculares no Brasil. METODOS: Foram analisados os obitos de adultos (35 a 64 anos), ocorridos entre 1999 a 2001, por doencas cardiovasculares, e pelos subgrupos das doencas isquemicas do coracao e doencas cerebrovasculares-hipertensivas, obtidos no Sistema de Informacao sobre Mortalidade. Foram selecionados para analise 98 municipios brasileiros, com melhor qualidade de informacao. Para analisar a associacao entre indicadores socioeconomicos e a mortalidade por doencas cardiovasculares, foi utilizada a regressao linear simples e multipla. RESULTADOS: Na analise univariada, verificou-se associacao negativa para a mortalidade por doencas cardiovasculares e o subgrupo das cerebrovasculares-hipertensivas com renda e escolaridade, e associacao direta com taxa de pobreza e condicoes precarias de moradia. Quanto as doencas isquemicas, houve associacao inversa com taxa de pobreza e escolaridade, e direta com condicoes precarias de moradia. A escolaridade, apos ajuste pelo modelo de regressao linear multipla, permaneceu associada a mortalidade pela doenca investigada e seus subgrupos. A cada ponto percentual de aumento na proporcao de adultos com alta escolaridade, a taxa de mortalidade por doencas cardiovasculares diminui em 3,25 por 100.000 habitantes. CONCLUSOES: A analise da mortalidade dos municipios mostrou que a associacao entre doencas cardiovasculares e fatores socioeconomicos e inversa, destacando-se a escolaridade. E provavel que melhor escolaridade possibilite melhores condicoes de vida e, consequentemente, impacto positivo na mortalidade precoce.

Cholinergic parameters and the retrieval of learned and re-learned spatial information: A study using a model of Wernicke–Korsakoff Syndrome

This is a factorial (2 x 2 x 2) spatial memory and cholinergic parameters study in which the factors are chronic ethanol, thiamine deficiency and naivety in Morris water maze task. Both learning and retention of the spatial version of the water maze were assessed. To assess retrograde retention of spatial information, half of the rats were pre-trained on the maze before the treatment manipulations of pyrithiamine (PT)-induced thiamine deficiency and post-tested after treatment (pre-trained group). The other half of the animals was only trained after treatment to assess anterograde amnesia (post-trained group). Thiamine deficiency, associated to chronic ethanol treatment, had a significant deleterious effect on spatial memory performance of post-trained animals. The biochemical data revealed that chronic ethanol treatment reduced acetylcholinesterase (AChE) activity in the hippocampus while leaving the neocortex unchanged, whereas thiamine deficiency reduced both cortical and hippocampal AChE activity. Regarding basal and stimulated cortical acetylcholine (ACh) release, both chronic ethanol and thiamine deficiency treatments had significant main effects. Significant correlations were found between both cortical and hippocampal AChE activity and behaviour parameters for pre-trained but not for post-trained animals. Also for ACh release, the correlation found was significant only for pre-trained animals. These biochemical parameters were decreased by thiamine deficiency and chronic ethanol treatment, both in pre-trained and post-trained animals. But the correlation with the behavioural parameters was observed only for pre-trained animals, that is, those that were retrained and assessed for retrograde retention.

A Non‐Gaussian Family of State‐Space Models with Exact Marginal Likelihood

The Gaussian assumption generally employed in many state‐space models is usually not satisfied for real time series. Thus, in this work, a broad family of non‐Gaussian models is defined by integrating and expanding previous work in the literature. The expansion is obtained at two levels: at the observational level, it allows for many distributions not previously considered, and at the latent state level, it involves an expanded specification for the system evolution. The class retains analytical availability of the marginal likelihood function, uncommon outside Gaussianity. This expansion considerably increases the applicability of the models and solves many previously existing problems such as long‐term prediction, missing values and irregular temporal spacing. Inference about the state components can be performed because of the introduction of a new and exact smoothing procedure, in addition to filtered distributions. Inference for the hyperparameters is presented from the classical and Bayesian perspectives. The results seem to indicate competitive results of the models when compared with other non‐Gaussian state‐space models available. The methodology is applied to Gaussian and non‐Gaussian dynamic linear models with time‐varying means and variances and provides a computationally simple solution to inference in these models. The methodology is illustrated in a number of examples.

Local bootstrap approaches for fractional differential parameter estimation in ARFIMA models

In this paper we investigate bootstrap techniques applied to the estimation of the fractional differential parameter in ARFIMA models, d. The novelty is the focus on the local bootstrap of the periodogram function. The approach is then applied to three different semiparametric estimators of d, known from the literature, based upon the periodogram function. By means of an extensive set of simulation experiments, the bias and mean square errors are quantified for each estimator and the efficacy of the local bootstrap is stated in terms of low bias, short confidence intervals, and low CPU times. Finally, a real data set is analyzed to demonstrate that the methodology may be quite effective in solving real problems.

Chronic ethanol consumption impairs spatial remote memory in rats but does not affect cortical cholinergic parameters

We have studied learning, memory and cortical cholinergic parameters after oral administration of 20% v/v ethanol solution to male Fisher rats for 6 months. A group of rats were trained to behave efficiently in an eight-arm radial maze and after that split into two subgroups submitted to ethanol or control treatment. Ethanol-treated rats had more difficulty in relearning the same task 1 year later, compared to ethanol-untreated rats (control). Differences in working memory performance were found, but only in the first 10 training sessions. Another group of rats, which had not been pretrained, was also split into two subgroups submitted to ethanol or control treatment. After that, these rats were trained in the radial maze task for the first time. No significant difference was found between the reference memory performance of the untreated subgroup and the treated one. These two subgroups did not significantly differ in their working memory performance either. Moreover, there were no significant differences between treated and control subjects in the following biochemical brain cortical parameters: in vitro acetylcholinesterase (AChE) activity, and stimulated acetylcholine (ACh) release. This work presents an experimental design that allows assessment of remote memory performance after ethanol chronic consumption and shows that the experimental subject is able to retain the behaviors learned 1 year before. It was concluded that chronic ethanol treatment may cause retrograde amnesia, which does not seem to be linked with a cortical cholinergic deficit.

Bootstrap techniques in semiparametric estimation methods for ARFIMA models: A comparison study

SummaryThis paper considers different bootstrap procedures for investigating the estimation of the fractional parameter d in a particular case of long memory processes, i.e. for ARFIMA models withd in (0.0, 0.5). We propose two bootstrap techniques to deal with semiparametric estimation methods of d. One approach consists of the local bootstrap method for time frequency initially suggested for the ARMA case by Paparoditis and Politis (1999), and the other consists of the bootstrapping in the residuals of the frequency-domain regression equation. Through Monte Carlo simulation, these alternative bootstrap methods are compared, based on the mean and the mean square error of the estimators, with the well-known parametric and nonparametric bootstrap techniques for time series models.

Principal components and generalized linear modeling in the correlation between hospital admissions and air pollution

OBJECTIVE To analyze the association between concentrations of air pollutants and admissions for respiratory causes in children. METHODS Ecological time series study. Daily figures for hospital admissions of children aged < 6, and daily concentrations of air pollutants (PM10, SO2, NO2, O3 and CO) were analyzed in the Regiao da Grande Vitoria, ES, Southeastern Brazil, from January 2005 to December 2010. For statistical analysis, two techniques were combined: Poisson regression with generalized additive models and principal model component analysis. Those analysis techniques complemented each other and provided more significant estimates in the estimation of relative risk. The models were adjusted for temporal trend, seasonality, day of the week, meteorological factors and autocorrelation. In the final adjustment of the model, it was necessary to include models of the Autoregressive Moving Average Models (p, q) type in the residuals in order to eliminate the autocorrelation structures present in the components. RESULTS For every 10:49 μg/m3 increase (interquartile range) in levels of the pollutant PM10 there was a 3.0% increase in the relative risk estimated using the generalized additive model analysis of main components-seasonal autoregressive – while in the usual generalized additive model, the estimate was 2.0%. CONCLUSIONS Compared to the usual generalized additive model, in general, the proposed aspect of generalized additive model − principal component analysis, showed better results in estimating relative risk and quality of fit.OBJECTIVE To analyze the association between concentrations of air pollutants and admissions for respiratory causes in children. METHODS Ecological time series study. Daily figures for hospital admissions of children aged < 6, and daily concentrations of air pollutants (PM10, SO2, NO2, O3 and CO) were analyzed in the Região da Grande Vitória, ES, Southeastern Brazil, from January 2005 to December 2010. For statistical analysis, two techniques were combined: Poisson regression with generalized additive models and principal model component analysis. Those analysis techniques complemented each other and provided more significant estimates in the estimation of relative risk. The models were adjusted for temporal trend, seasonality, day of the week, meteorological factors and autocorrelation. In the final adjustment of the model, it was necessary to include models of the Autoregressive Moving Average Models (p, q) type in the residuals in order to eliminate the autocorrelation structures present in the components. RESULTS For every 10:49 μg/m3 increase (interquartile range) in levels of the pollutant PM10 there was a 3.0% increase in the relative risk estimated using the generalized additive model analysis of main components-seasonal autoregressive – while in the usual generalized additive model, the estimate was 2.0%. CONCLUSIONS Compared to the usual generalized additive model, in general, the proposed aspect of generalized additive model − principal component analysis, showed better results in estimating relative risk and quality of fit.

Maternal thiamine restriction during lactation induces cognitive impairments and changes in glutamate and GABA concentrations in brain of rat offspring.

Maternal thiamine deficiency causes changes in cellular energy metabolism that can interfere with offspring brain development. The purpose of the present study was to investigate the effects of thiamine restriction, during lactation, on offspring neurochemistry and cognitive parameters. Male young (31 days old) and adult (75 days old) rats, from control and restricted mothers, were submitted to spatial learning and memory assessment. GABAergic and glutamatergic parameters were measured in thalamus, prefrontal cortex and hippocampus by high performance liquid chromatography (HPLC). The young animals were assessed immediately after thiamine restricted period; the adults, however, underwent a recovery period of 45 days. In young rats, thiamine restriction significantly hindered body weight gain and learning speed; however, it did not affect the brain weight, GABA and glutamate parameters in any of the brain assessed areas. In adult rats the body weight gain was significantly hampered by thiamine restriction, while brain weight and spatial task were not affected. Also, in adult offspring, maternal thiamine restriction significantly decreased the glutamate and GABA contents in the three assessed brain areas and thalamus, respectively. One possible explanation for these findings is that an adjustment of the inhibitory (GABAergic) and stimulatory (glutamatergic) neuromodulation systems occurs, in order to reverse the behavioral deficits detected in young rats but not in adult ones. The present data show, for the first time, that maternal thiamine restriction during lactation induces cognitive impairments and neurochemical changes in offspring, corroborating the important role of thiamine in brain development.

Correlations among central serotonergic parameters and age-related emotional and cognitive changes assessed through the elevated T-maze and the Morris water maze

Emotion and spatial cognitive aspects were assessed in adult and middle-aged rats using the elevated T-maze (ETM) and the Morris water maze (MWM) tasks. Both adult and middle-aged rats were able to acquire inhibitory avoidance behaviour, though the middle-aged subjects showed larger latencies along the trials, including the baseline, which was significantly longer than that showed by adult rats. Further, compared to adult rats, middle-aged rats had longer escape latency. In spite of the worse performance in the second session of the spatial cognitive task, the middle-aged rats were able to learn the task and remember the information along the whole probe trial test. Both thalamic serotonin (5-HT) concentration and amygdala serotonergic activity (5-HIAA/5-HT) are significantly correlated, respectively, to escape latency and behavioural extinction in the MWM only for middle-aged rats. A significant correlation between the 5-HIAA/5-HT ratio in the amygdala and behavioural extinction for middle-aged, but not for adult, rats was observed. This result suggests that serotonergic activity in the amygdala may regulate behavioural flexibility in aged animals. In addition, a significant negative correlation was found between hippocampal 5-HIAA/5-HT ratio and the path length at the second training session of the MWM task, although only for adult subjects. This was the only session where a significant difference between the performance of middle-aged and adult rats has occurred. Although the involvement of the hippocampus in learning and memory is well established, the present work shows, for the first time, a correlation between a serotonergic hippocampal parameter and performance of a spatial task, which is lost with ageing.

On the properties of the periodogram of a stationary long-memory process over different epochs with applications

This article studies the asymptotic properties of the discrete Fourier transforms (DFT) and the periodogram of a stationary long-memory time series over different epochs. The main theoretical result is a novel bound for the covariance of the DFT ordinates evaluated on two distinct epochs, which depends explicitly on the Fourier frequencies and the gap between the epochs. This result is then applied to obtain the limiting distribution of some nonlinear functions of the periodogram over different epochs, under the additional assumption of gaussianity. We then apply this result to construct an estimator of the memory parameter based on the regression in a neighbourhood of the zero-frequency of the logarithm of the averaged periodogram, obtained by computing the empirical mean of the periodogram over adjacent epochs. It is shown that replacing the periodogram by its average has an effect similar to the frequency domain pooling to reduce the variance of the estimate. We also propose a simple procedure to test the stationarity of the memory coefficient. A limited Monte Carlo experiment is presented to support our findings. Copyright Copyright 2009 Blackwell Publishing Ltd