888 resultados para REGRESSION-MODELS
Resumo:
The study had the objective of evaluate the growth of bean cultivar Carioca early cultivated during the rainy season under different doses of phosphorus applied to soil. We adopted the experimental design at random blocks, evaluating six doses of phosphorus (0, 30, 60, 90, 120 and 150 kg P(2)O(5) ha(-1)), relying in the form of superphosphate triple, with five replicates. Biometric indices were evaluated leaf area (cm(2) plant(-1)) and dry matter (g seedling(-1)). Physiological indices of crop growth rate (CGR, g m(-2) day(-1)), relative growth rate (RGR, g g(-1) day(-1)), net assimilation rate (NAR, g m(-2) day(-1)), leaf area ratio (LAR, cm(2) g(-1)) and specific leaf area (SLA, cm(2) g(-1)) were obtained through analysis of functional growth. The data from the biometric indices were submitted to analysis of variance, with subsequent construction of regression models. The dry matter and leaf area of bean Carioca Early increase linearly with increasing doses of applied phosphorus in the soil. The dry matter has increased constantly throughout the cycle, and the leaf area indices reach its maximum at 52 days after emergence (DAE). The restriction of phosphorus reduces the Relative Growth Rate at the beginning of the development and lengthen the physiological cycle of bean cultivar Carioca early.
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Taking care for an impaired elderly is a hard and costly task that could affect directly the caregiver health. The purpose of this study was to evaluate the physical and mental health of elderly caregivers from the city of Santa Cruz-RN and analyze the potential correlated factors through an observational analytic design of a crosssectional. A multidimensional questionnaire was used to evaluation of the social demographics characteristics and those related to the care activity, as well as the caregivers´ physical and mental health. It was realized a descriptive analyze using frequency distribution and measures of the central tendency and dispersion to description of the caregivers. To verify the magnitude of the association between the variables was used the bivariate analysis through the Pearson and Spearman correlations and qui-square test. To evaluation of the association of the correlated factors to the adverse outcome with the caregivers´ physical and mental health was made a multivariate analysis by logistic binary regression and multiple linear regression models. The final sample was constituted by 304 persons, mostly women with a mean age of 50.3 ±16.8 years. The principal factors related to the physical health were age, stress and life satisfaction. Be a male caregiver, caring for a little while the elderly with cognitive deficit and not been spouse were related to worse mental health. Have worse physical health, high stress, depressive symptomatology, burden and low levels of satisfaction were also related to the mental health. After adjust through multiple linear regression was observed R2 values of R2=0,21 for Stress, R2 =0,17 for Depressive Symptomatology, R2 =0,21 for Burden and R2 =0,16 for Satisfaction. The attainment of the factors associated with caregiver´s health can help in the elaboration of specifics politics witch the goal is the integral attention to the elderly and his caregiver. The inability of continuous taking care could result in adverse outcomes such as institutionalization, impairment and death
Resumo:
I ntroduction: The assessment of respiratory muscle strength is important in the diagnosis and monitoring of the respiratory muscles weakness of respiratory and neuromuscular diseases. However, there are still no studies that provide predictive equations and reference values for maximal respiratory pressures for children in our population. Aim: The purpose of this study was to propose predictive equations for maximal respiratory pressures in healthy school children. Method: This is an observational cross-sectional study. 144 healthy children were assessed. They were students from public and private schools in the city of Natal /RN (63 boys and 81 girls), subdivided in age groups of 7-8 and 9-11 years. The students presented the BMI, for age and sex, between 5 and 85 percentile. Maximal respiratory pressures were measured with the digital manometer MVD300 (Globalmed ®). The maximal inspiratory pressure (MIP) and maximal expiratory pressures (MEP) were measured from residual volume and total lung capacity, respectively. The data were analyzed using the SPSS Statistics 15.0 software (Statistical Package for Social Science) by assigning the significance level of 5%. Descriptive analysis was expressed as mean and standard deviation. T'Student test was used for unpaired comparison of averages of the variables. The comparison of measurements obtained with the predicted values in previous studies was performed using the paired t'Student test. The Pearson correlation test was used to verify the correlation of MRP's with the independent variables (age, sex, weight and height). For the equations analysis the stepwise linear regression was used. Results: By analyzing the data, we observed that in the age range studied MIP was significantly higher in boys. The MEP did not differ between boys and girls aged 7 to 8 years, the reverse occurred in the age between 9 and 11 years. The boys had a significant increase in respiratory muscle strength with advancing age. Regardless sex and age, MEP was always higher than the MIP. The reference values found in this study are similar to a sample of Spanish and Canadian children. The two models proposed in previous studies with children from other countries were not able to consistently predict the values observed in this studied population. The variables sex, age and weight correlated with MIP, whereas the MEP was also correlated with height. However, in the regression models proposed in this study, only gender and age were kept exerting influence on the variability of maximal inspiratory and expiratory pressures. Conclusion: This study provides reference values, lower limits of normality and proposes two models that allow predicting, through the independent variables, sex and age, the value of maximal static respiratory pressures in healthy children aged between 7 and 11 years old
Characteristics of family nucleus as correlates of regular participation in sports among adolescents
Resumo:
Objectives To estimate the relationship between family nucleus and sport practice among adolescents.Methods A school-based cross-sectional study carried out with 1,752 Brazilian adolescents (812 male and 940 female), aged 11-17 years. Characteristics of the family nucleus (parental education, socioeconomic status and number of siblings) and sport practice (>= 240 min/week) were assessed by questionnaires. Adjusted prevalence ratios were estimated using Poisson regression models.Results The overall prevalence of sport practice was 14.8% (boys 21.2% and girls 9.4%, P = 0.001). Higher socioeconomic status, number of siblings and parents' educational level were associated with more sport practice.Conclusion Despite the low engagement, family nucleus plays an essential role in the sport practice of our sample of Brazilian adolescents.
Resumo:
Parenting styles concern overall interaction characteristics between parents and children. To assess them, it is important to build and adapt valid and reliable instruments. The main objectives of this dissertation were to translate, adapt and evaluate the psychometric properties of the Young Parenting Inventory (YPI) for the Brazilian context, as seek associations between the YPI and Familiogram Test (FG). In current study, YPI was adapted to Portuguese by backtranslation method. Content analyses were made by five judges. 920 high school and college students (543 females), whose ages were between 14 and 69 years (M = 21.3, SD = 6.1), filled out the research instruments. Data were collected in Natal, Petrolina and Brasilia cities and Porto Alegre metropolitan region. The results confirmed the existence of five factors. Final version of the YPI was composed by 49 items. Exploratory factorial analysis (principal components) were conducted using oblimin rotation. Five factors extracted explained 45.12% of the maternal scale variance and 47.59% of paternal scale. Each factor explained, at least, 3% of the variance and showed Eigenvalue over than 1.5. All items have factorial loadings values above 0.3. The confirmatory factorial analysis has showed fit statistics reasonably adequate: for maternal scale, ² [1114] = 4636.38, p < 0.001, ² / df = 4.16, with GFI = 0.83, AGFI = 0.81 and RMSEA = 0.06; for paternal scale, ² [1114] = 5133.69 p < 0.001, ² / df = 4.61, with GFI = 0.81, AGFI = 0.79 and RMSEA = 0,06. Thus, final instrument was composed by the following factors: (I) Disconnection and Rejection ( = 0.89 and 0.90), (II) Affectivity and Emotional Stability ( = 0.85 and 0.88); (III) Overvigilance and Other Directedness ( = 0.83 and 0.85), (IV) Overprotection and Impaired Autonomy ( = 0.78 and 0.79) and (V) Impaired Limits ( = 0.66 and 0.71). Finally, relations between the YPI and FG were assessed. Pearson's correlations between the YPI and FG showed moderated associations, particularly between the factors Affectivity (YPI) and Affection (FG) (r = 0.69 and 0.7 for maternal and paternal scale, respectively); and the factors Disconnection and Rejection (YPI) and Conflict (FG) (r = 0.59 and 0.58). The regression models indicated that over than 40% of variance of factors of FG can be predicted by factors of YPI. Beta coefficients for Affection-Affectivity relation were 0.67 (maternal scale) and 0.53 (paternal scale); for Disconnection-Conflict relation were 0.31 (maternal scale) and 0.44 (paternal scale). We conclude the YPI has adequate psychometric parameters and can be used in future research in this area. However, adjustments in the structure of the YPI were made. Moreover, it is suggested further studies to consider other samples and variables, increasing the knowing of parenting styles and the Young‟s theory in the Brazilian context
Resumo:
In this work calibration models were constructed to determine the content of total lipids and moisture in powdered milk samples. For this, used the near-infrared spectroscopy by diffuse reflectance, combined with multivariate calibration. Initially, the spectral data were submitted to correction of multiplicative light scattering (MSC) and Savitzsky-Golay smoothing. Then, the samples were divided into subgroups by application of hierarchical clustering analysis of the classes (HCA) and Ward Linkage criterion. Thus, it became possible to build regression models by partial least squares (PLS) that allowed the calibration and prediction of the content total lipid and moisture, based on the values obtained by the reference methods of Soxhlet and 105 ° C, respectively . Therefore, conclude that the NIR had a good performance for the quantification of samples of powdered milk, mainly by minimizing the analysis time, not destruction of the samples and not waste. Prediction models for determination of total lipids correlated (R) of 0.9955, RMSEP of 0.8952, therefore the average error between the Soxhlet and NIR was ± 0.70%, while the model prediction to content moisture correlated (R) of 0.9184, RMSEP, 0.3778 and error of ± 0.76%
Resumo:
In this work, the quantitative analysis of glucose, triglycerides and cholesterol (total and HDL) in both rat and human blood plasma was performed without any kind of pretreatment of samples, by using near infrared spectroscopy (NIR) combined with multivariate methods. For this purpose, different techniques and algorithms used to pre-process data, to select variables and to build multivariate regression models were compared between each other, such as partial least squares regression (PLS), non linear regression by artificial neural networks, interval partial least squares regression (iPLS), genetic algorithm (GA), successive projections algorithm (SPA), amongst others. Related to the determinations of rat blood plasma samples, the variables selection algorithms showed satisfactory results both for the correlation coefficients (R²) and for the values of root mean square error of prediction (RMSEP) for the three analytes, especially for triglycerides and cholesterol-HDL. The RMSEP values for glucose, triglycerides and cholesterol-HDL obtained through the best PLS model were 6.08, 16.07 e 2.03 mg dL-1, respectively. In the other case, for the determinations in human blood plasma, the predictions obtained by the PLS models provided unsatisfactory results with non linear tendency and presence of bias. Then, the ANN regression was applied as an alternative to PLS, considering its ability of modeling data from non linear systems. The root mean square error of monitoring (RMSEM) for glucose, triglycerides and total cholesterol, for the best ANN models, were 13.20, 10.31 e 12.35 mg dL-1, respectively. Statistical tests (F and t) suggest that NIR spectroscopy combined with multivariate regression methods (PLS and ANN) are capable to quantify the analytes (glucose, triglycerides and cholesterol) even when they are present in highly complex biological fluids, such as blood plasma
Resumo:
In Brazil, despite the decline in infant mortality in recent decades it still has high rates going against recommended by WHO. Being the largest percentage of infant mortality rate composed of neonatal deaths. Objective: A study was conducted to analyze the spatial distribution of neonatal mortality and its correlation with the biological, socioeconomic and maternal and child health care in the Brazilian states in the period from 2006 to 2010. Method: The study made thematic maps and correlation (LISA) for verification of spatial dependence and multiple linear regression models. Results: Was found that there is no spatial autocorrelation for neonatal mortality in the Brazilian states (R = 0.002, p = 0.48). Most of variables were correlated (r> 0.3, p <0.05) with neonatal mortality, forming clusters in the North and Northeast, with the highest rates of teenage mothers, low household income per capita, lower prenatal appointments and beds of Neonatal Intensive Care Unit. The number of Neonatal UCI beds remained independent effect after regression analysis. Conclusion: The study concludes that regional inequalities in living conditions and especially the access to maternal and child health services contribute to the unequal distribution of neonatal mortality in Brazil
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
In this work we study the accelerated failure-time generalized Gamma regression models with a unified approach. The models attempt to estimate simultaneously the effects of covariates on the acceleration/deceleration of the timing of a given event and the surviving fraction. The method is implemented in the free statistical software R. Finally the model is applied to a real dataset referring to the time until the return of the disease in patients diagnosed with breast cancer
Resumo:
Farinha de batata-doce (Ipomoea batatas) foi extrusada em equipamento de rosca simples, mantendo-se fixas as temperaturas na 1ª e 2ª zonas de extrusão (20ºC e 60ºC, respectivamente). O efeito das variáveis umidade da farinha (15, 18 e 21%), temperatura na 3ª zona (100, 120 e 140ºC) e rotação da rosca (180, 210 e 240 rpm) sobre as características dos extrusados foi investigado utilizando-se metodologia de superfície de resposta. O teor de umidade e a temperatura de extrusão influenciaram significativamente a expansão dos extrusados. O índice de expansão apresentou valores crescentes com a temperatura sob baixos teores de umidade. A dureza dos extrusados e também o índice de absorção de água e o índice de solubilidade em água das farinhas extrusadas não mostraram modelo de regressão significativo com as condições de processo. Quanto à cor das farinhas, o componente L* (luminosidade) apresentou valores crescentes e o parâmetro a*, valores decrescentes com a elevação do teor de umidade até 20-21%. O parâmetro b* e a diferença de cor entre farinhas extrusadas e não extrusadas mostraram valores decrescentes com o aumento da umidade.
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
OBJECTIVE To (1) analyze possible relationships between motile sperm organelle morphology examination (MSOME) and sperm chromatin status, aneuploidy incidence, and patient's age; (2) determine the effects of sperm morphologic abnormalities on intracytoplasmic sperm injection (ICSI) outcomes; and (3) identify the benefits of intracytoplasmic morphologically selected sperm injection (IMSI) in patients with high DNA fragmentation rate.METHODS The study was performed in 50 patients undergoing ICSI cycles. The MSOME, sperm DNA fragmentation, and sperm aneuploidy incidence were performed in 200 sperm cells of each patient. Regression models were used to assess the relationships among sperm morphology and sperm aneuploidy, sperm DNA fragmentation, patient's age, and ICSI outcomes. In cycles with patients showing a high incidence of DNA fragmentation, oocytes were split into 2 groups according to the sperm selection method: Standard-ICSI (n = 82) and IMSI (n = 79). Fertilization and high-quality embryo rates were compared between the groups.RESULTS A close relationship between sperm DNA fragmentation and the presence of vacuoles in the MSOME was noted. The patient's age was correlated to the presence of vacuoles. No correlation between sperm aneuploidy and IMSI was observed. Vacuolated cells were negatively correlated with fertilization, pregnancy, and implantation. In patients with a high incidence of sperm DNA fragmentation, fertilization and high-quality embryo rates were similar when comparing IMSI and Standard-ICSI.CONCLUSIONS Our data demonstrate a correlation between paternal age and the incidence of nuclear vacuoles, as well as an effect of large and small vacuoles on late embryo development. UROLOGY 78: 786-791, 2011. (C) 2011 Elsevier B.V.