897 resultados para random regression model


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OBJETIVO: Verificar se a exposição ocupacional ao ruído é fator de risco relevante para acidentes do trabalho. MÉTODOS: Estudo de caso-controle de base populacional. Os dados foram coletados entre 16/5/2002 e 15/10/2002, na cidade de Botucatu, Estado de São Paulo. Os casos foram definidos como trabalhadores que sofreram acidentes ocupacionais típicos nos últimos 90 dias, identificados por intermédio de amostragem aleatória sistemática de domicílios residenciais. Os controles foram trabalhadores não acidentados, aleatoriamente alocados a partir da mesma população que originou os casos, emparelhados na razão 3:1 segundo sexo, faixa etária e setor censitário de moradia. Ajustou-se um modelo de regressão logística múltipla, tendo como variável independente a exposição ocupacional ao ruído, controlada por covariáveis de interesse. RESULTADOS: Foram analisados 94 casos e 282 controles. Ajustando-se um modelo de regressão logística condicional múltipla observou-se que trabalhar sempre e às vezes exposto a ruído intenso associou-se a um risco relativo de acidentar-se de 5,0 (IC 95%: 2,8-8,7; p<0,001) e 3,7 (IC 95%: 1,8-7,4; p=0,0003), respectivamente, tendo como referência trabalhar não exposto a ruído, controlado para diversas covariáveis. CONCLUSÕES: Com base nos resultados encontrados, justifica-se o investimento em programas de conservação auditiva particularmente voltados para o controle da emissão de ruídos na fonte. Essas medidas objetivam não apenas a manutenção da saúde auditiva, mas também a diminuição da acidentabilidade dos trabalhadores.

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Weight records of Brazilian Nelore cattle, from birth to 630 d of age, recorded every 3 mo, were analyzed using random regression models. Independent variables were Legendre polynomials of age at recording. The model of analysis included contemporary groups as fixed effects and age of dam as a linear and quadratic covariable. Mean trends were modeled through a cubic regression on orthogonal polynomials of age. Up to four sets of random regression coefficients were fitted for animals' direct and maternal, additive genetic, and permanent environmental effects. Changes in measurement error variances with age were modeled through a variance function. Orders of polyno-mial fit from three to six were considered, resulting in up to 77 parameters to be estimated. Models fitting random regressions modeled the pattern of variances in the data adequately, with estimates similar to those from corresponding univariate analysis. Direct heritability estimates decreased after birth and tended to be lowest at ages at which maternal effect estimates tended to be highest. Maternal heritability estimates increased after birth to a peak around 110 to 120 d of age and decreased thereafter. Additive genetic direct correlation estimates between weights at standard ages (birth, weaning, yearling, and final weight) were moderate to high and maternal genetic and environmental correlations were consistently high. © 2001 American Society of Animal Science. All rights reserved.

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Data set of 17.767 weight records of 4.210 Santa Inês lambs were used aiming to evaluate the importance of the inclusion of the maternal effect in the model to estimate components of (Co) variance and resulting genetic parameters for the growth curve through random regression models. The fixed and random regressions were fitted using Legendre Polynomials of order three, being fit four models that differed in relation to the inclusion of the additive genetic and permanent environmental maternal effects. Considerable increase was observed in Log L and decrease in the criteria AIC and BIC when the maternal effect was included (genetic or permanent environmental), evidencing its importance. The maternal genetic effect explained larger proportion of the phenotypic variance than the maternal permanent environmental along the growth curve. The direct additive genetic variance was inflated by maternal effect, when this last one was not considered in the analysis model, reflecting the same behavior in the heritabilities. The maternal permanent environmental effect contributed to maternal variance, as well as, it inflated maternal genetic variance, when it was not considered in the model. Similar behavior was verified with maternal heritability. The correlation estimated for the four models hardly differed in function of maternal effect. The maternal effect should be considered in the genetic studies of the growth curve of Santa Inês sheep.

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PURPOSE: To evaluate the importance of the oral glucose tolerance test for the diagnosis of glucose intolerance (GI) and type 2 diabetes mellitus (DM-2) in women with PCOS. METHODS: A retrospective study was conducted on 247 patients with PCOS selected at random. The diagnosis of GI was obtained from the two-hour oral glucose tolerance test with 75 g of glucose according to the criteria of the World Health Organization (WHO) (GI: 120 minutes for plasma glucose =140 mg/dL and <200 mg/dL), and the diagnosis of DM-2 was obtained by both the oral glucose tolerance test (DM: 120 minutes for plasma glucose =200 mg/dL) and fasting glucose using the criteria of the American Diabetes Association (impaired fasting glucose: fasting plasma glucose =100 and <126 mg/dL; DM: fasting glucose =126 mg/dL). A logistic regression model for repeated measures was applied to compare the oral glucose tolerance test with fasting plasma glucose. ANOVA followed by the Tukey test was used for the analysis of the clinical and biochemical characteristics of patients with and without GI and/or DM-2. A p<0.05 was considered statistically significant. RESULTS: PCOS patients had a mean age of 24.8±6.3, and body mass index (BMI) of 18.3 to 54.9 kg/m2 (32.5±7.6). The percentage of obese patients was 64%, the percentage of overweight patients was 18.6% and 17.4% had healthy weight. The oral glucose tolerance test identified 14 cases of DM-2 (5.7%), while fasting glucose detected only three cases (1.2%), and the frequency of these disorders was higher with increasing age and BMI. CONCLUSIONS: The results of this study demonstrate the superiority of the oral glucose tolerance test in relation to fasting glucose in diagnosing DM-2 in young women with PCOS and should be performed in these patients.

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The objectives of the present study were to estimate genetic parameters of monthly test-day milk yield (TDMY) of the first lactation of Brazilian Holstein cows using random regression (RR), and to compare the genetic gains for milk production and persistency, derived from RR models, using eigenvector indices and selection indices that did not consider eigenvectors. The data set contained monthly TDMY of 3,543 first lactations of Brazilian Holstein cows calving between 1994 and 2011. The RR model included the fixed effect of the contemporary group (herd-month-year of test days), the covariate calving age (linear and quadratic effects), and a fourth-order regression on Legendre orthogonal polynomials of days in milk (DIM) to model the population-based mean curve. Additive genetic and nongenetic animal effects were fit as RR with 4 classes of residual variance random effect. Eigenvector indices based on the additive genetic RR covariance matrix were used to evaluate the genetic gains of milk yield and persistency compared with the traditional selection index (selection index based on breeding values of milk yield until 305 DIM). The heritability estimates for monthly TDMY ranged from 0.12 ± 0.04 to 0.31 ± 0.04. The estimates of additive genetic and nongenetic animal effects correlation were close to 1 at adjacent monthly TDMY, with a tendency to diminish as the time between DIM classes increased. The first eigenvector was related to the increase of the genetic response of the milk yield and the second eigenvector was related to the increase of the genetic gains of the persistency but it contributed to decrease the genetic gains for total milk yield. Therefore, using this eigenvector to improve persistency will not contribute to change the shape of genetic curve pattern. If the breeding goal is to improve milk production and persistency, complete sequential eigenvector indices (selection indices composite with all eigenvectors) could be used with higher economic values for persistency. However, if the breeding goal is to improve only milk yield, the traditional selection index is indicated. © 2013 American Dairy Science Association.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Genética e Melhoramento Animal - FCAV