[The association between alcohol consumption and Mild Cognitive Impairment: the Toon Health Study].

AIM: The effects of alcohol consumption on Mild Cognitive Impairment (MCI) among the Japanese population had not been fully examined. Therefore, the objective of this study was to examine the association between alcohol consumption and MCI among the Japanese elderly population. METHODS: In total, 421 men and 700 women aged 60-84 years participated in this cross-sectional study. Alcohol consumption was estimated according to frequency and amount of major alcoholic beverages (i.e., beer, Japanese sake, shochu, and wine) consumed by each individual using a self-administered questionnaire. MCI was assessed using the Japanese version of the Montreal Cognitive Assessment. Multivariable odds ratio (OR) and 95% confidence intervals (CIs) of MCI according to alcohol consumption were calculated using logistic models. We further analyzed the associations of the major alcoholic beverages with MCI. RESULTS: The prevalence of MCI was 50.4% among the male participants and 31.4% among the females. A positive association between alcohol consumption and MCI was observed in men, but not in women. The multivariable OR (95% CI) of MCI for ≥ 2 go (46 g ethanol) /day vs. non-drinkers was 1.78 (0.93-3.40, p for trend = 0.045) in men and for ≥ 1 go (23 g ethanol) /day was 0.96 (0.39-2.38, p for trend = 0.92) in women, respectively. We also observed an association between shochu consumption and MCI in men, whereby the multivariable OR (95% CI) of MCI for each 1 go increment was 1.57 (1.18-2.07). CONCLUSION: Our findings suggest that alcohol consumption in moderation may contribute to the prevention of MCI development in men.

Growth curve for height at withers and body length of Mangalarga Marchador horses / Curva de crescimento em altura na cernelha e comprimento corporal de equinos Mangalarga Marchador

ABSTRACT: This study aimed to evaluate the logistic and quadratic response plateau models to describe the growth of Mangalarga Marchador horses to identify the model that best describes growth for the variables height at withers and body length. Data were used from 230 horses aged 6 to 176 months, divided by sex and 16 age classes. All computational work was performed using R statistical software. The logistic model was the best suited to express growth in height at withers and body length of male and female Mangalarga Marchadors aged 6 to 176 months. This allowed creating a table of reference values for these measurements over time based on the confidence interval of the model parameters. Estimates of height at withers obtained by the logistic model ranged from 144 to 154 cm in adult males and from 143 to 151 cm in adult females. For body length, values ranged from 146 to 156 cm in adult males and 143 to 156 cm in adult females. Females achieved stability in both height at withers and body length at earlier ages than did males.

RESUMO: O objetivo deste estudo foi avaliar os modelos logístico e platô de resposta quadrática na descrição do crescimento de equinos da raça Mangalarga Marchador identificando o que melhor descreve o crescimento das variáveis altura de cernelha e comprimento corporal. Foram utilizados dados de 230 equinos de 6 a 176 meses de idade que foram divididos por sexo e em 16 classes de idade. Toda a parte computacional envolvida foi realizada utilizando-se o software estatístico R. O modelo logístico foi o mais indicado para expressar o crescimento em altura na cernelha e comprimento corporal de machos e fêmeas da raça Mangalarga Marchador. Foi criada uma tabela de valores referência para estas medidas ao longo da idade com base no intervalo de confiança dos parâmetros deste modelo. Estimativas das alturas de cernelha adultas obtidas pelo modelo logístico variaram de 144 a 154 cm nos machos e de 143 a 151 cm para fêmeas. Já em comprimento corporal os valores adultos variaram de 146 a 156 cm nos machos e 143 a 156 cm para fêmeas. As fêmeas apresentam maior precocidade do que os machos para atingir a estabilidade em ambas variáveis estudadas.

Nonlinear modeling growth body weight of Mangalarga Marchador horses / Modelagem não linear do crescimento em peso vivo de equinos da raça Mangalarga Marchador

ABSTRACT: The analysis of the growth and development of various species has been done using the growth curves of the specific animal based on non-linear models. The objective of the current study was to evaluate the fit of the Brody, Gompertz, Logistic and von Bertalanffy models to the cross-sectional data of the live weight of the MangalargaMarchador horses to identify the best model and make accurate predictions regarding the growth and maturity in the males and females of this breed. The study involved recording the weight of 214 horses, of which 94 were males and 120 were non-pregnant females, between 6 and 153 months of age. The parameters of the model were estimated by employing the method of least squares, using the iteratively regularized Gauss-Newton method and the R software package. Comparison of the models was done based on the following criteria: coefficient of determination (R²); Residual Standard Deviation (RSD); corrected Akaike Information Criterion (AICc). The estimated weight of the adult horses by the models ranged between 431kg and 439kg for males and between 416kg and 420kg for females. The growth curves were studied using the cross-sectional data collection method. For males the von Bertalanffymodel was found to be the most effective in expressing growth, while in females the Brody model was more suitable. The MangalargaMarchador females achieve adult body weight earlier than the males.

RESUMO: O estudo sobre curvas de crescimento animal com base em modelos não lineares tem sido utilizado para análise do crescimento e desenvolvimento de diversas espécies. Neste trabalho objetivou-se avaliar o ajuste dos modelos Brody, Gompertz, Logístico e vonBertalanffy a dados transversais de peso vivo de equinos Mangalarga Marchador, a fim de selecionar o melhor modelo e predizer sobre o crescimento e a maturidade de machos e fêmeas desta raça. Foram pesados 214 equinos, sendo 94 machos e 120 fêmeas não gestantes, com idade variando entre seis e 153 meses. A estimação dos parâmetros dos modelos foi realizada pelo método de mínimos quadrados, utilizando o processo iterativo de Gauss-Newton, seguindo rotinas do Software R. Os modelos foram comparados pelos critérios: coeficiente de determinação (R²); desvio padrão residual (DPR); critério de informação de Akaike corrigido (AICc). O peso adulto, estimado pelos modelos, variou entre 431kg e 439kg para os machos e entre 416kg e 420kg para fêmeas. O método transversal de obtenção de dados pode ser aplicado no estudo de curvas de crescimento. O modelo de vonBertalanffy foi o mais eficiente para expressar o crescimento nos machos, enquanto que para as fêmeas, o modelo Brody se mostrou mais apropriado. As fêmeas Mangalarga Marchador são mais precoces que os machos para atingir o peso vivo adulto.

Evaluation of safety effectiveness of multiple cross sectional features on urban arterials.

This research evaluates the safety effectiveness of multiple roadway cross-section elements on urban arterials for different crash types and severity levels. In order to consider the nonlinearity of predictors and obtain more reliable estimates, the generalized nonlinear models (GNMs) were developed using 5-years of crash records and roadway characteristics data for urban roadways in Florida. The generalized linear models (GLMs) were also developed to compare model performance. The cross-sectional method was used to develop crash modification factors (CMFs) for various safety treatments. The results from this paper indicated that increasing lane, bike lane, median, and shoulder widths were safety effective to reduce crash frequency. In particular, the CMFs for changes in median and shoulder widths consistently decreased as their widths increased. On the other hand, the safety effects of increasing lane and bike lane widths showed nonlinear variations. It was found that crash rates decrease as the lane width increases until 12ft width and it increases as the lane width exceeds 12ft. The crash rates start to decrease again after 13ft. It was also found that crash rates decreases as the bike lane width increases until 6ft width and it increases as the bike lane width exceeds 6ft. This paper demonstrated that the GNMs clearly captured the nonlinear relationship between crashes and multiple roadway cross-sectional features, which cannot be reflected by the estimated CMFs from the GLMs. Moreover, the GNMs showed better model fitness than GLMs in general. Therefore, in order to estimate more accurate CMFs, the proposed methodology of utilizing the GNMs in the cross-sectional method is recommended over using conventional GLMs when there are nonlinear relationships between the crash rate and roadway characteristics.

Assessing the safety effects of multiple roadside treatments using parametric and nonparametric approaches.

This study evaluates the safety effectiveness of multiple roadside elements on roadway segments by estimating crash modification factors (CMFs) using the cross-sectional method. To consider the nonlinearity in crash predictors, the study develops generalized nonlinear models (GNMs) and multivariate adaptive regression splines (MARS) models. The MARS is one of the promising data mining techniques due to its ability to consider the interaction impact of more than one variables and nonlinearity of predictors simultaneously. The CMFs were developed for four roadside elements (driveway density, poles density, distance to poles, and distance to trees) and combined safety effects of multiple treatments were interpreted by the interaction terms from the MARS models. Five years of crash data from 2008 to 2012 were collected for rural undivided four-lane roadways in Florida for different crash types and severity levels. The results show that the safety effects decrease as density of driveways and roadside poles increase. The estimated CMFs also indicate that increasing distance to roadside poles and trees reduces crashes. The study demonstrates that the GNMs show slightly better model fitness than negative binomial (NB) models. Moreover, the MARS models outperformed NB and GNM models due to its strength to reflect the nonlinearity of crash predictors and interaction impacts among variables under different ranges. Therefore, it can be recommended that the CMFs are estimated using MARS when there are nonlinear relationships between crash rate and roadway characteristics, and interaction impacts among multiple treatments.