915 resultados para Logistic regression model


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Objectives: 1) to evaluate the impact of oral health problems on the quality of life of pregnant women by the simplified Oral Health Impact Profile (OHIP-14) questionnaire as well by the presence of dental caries, periodontal disease and denture use/need; 2) to correlate the sociodemographic variables and the oral health conditions revealed in the clinical examinations with the OHIP-14. Method: In addition to the application of the OHIP-14 questionnaire, clinical examination of the oral conditions (CPI - community periodontal index, DMFT and prosthetic evaluation) was performed on 51 pregnant women, who sought dental treatment between April 2008 and August 2010 at the Preventive Dentistry Clinic. Descriptive analyses were made for sample characterization, bivariate analysis (chi-square or Fisher’s exact tests) and multiple logistic regressions at a 5% significance level to assess the correlation between the impact of oral health on the quality of life of pregnant women and the socio-demographic and clinical variables. Results: The OHIP-14 data showed a lesser impact of oral health on the women’s quality of life. The mean DMFT was 12.8; 70.6% of the pregnant women presented dental calculus and 58.8% needed prostheses. The association between OHIP-14 data and last dental visit and DMFT remained in the final regression model (p<0.05). Conclusion: Caries experience of the pregnant women was considered high. Most of them needed prostheses and presented dental calculus. The OHIP-14 presented a low impact on this population and was significantly influenced by the last dental visit and the DMFT index.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Objective: To analyze the association between sleep quality and quality of life of nursing professionals according to their work schedules. Methods: A prospective, cross-sectional, observational study was conducted between January and December 2010, with 264 nursing professionals, drawn from 989 subjects at Botucatu General Hospital and stratified by professional category. The Pittsburg Sleep Quality Index and the WHOQOL-bref were administered to evaluate sleep quality and quality of life, respectively. Self-reported demographic data were collected with a standard form. Continuous variables were reported as means and standard deviations, and categorical variables were expressed as proportions. Associations were evaluated using Spearman's correlation coefficient. The association of night-shift work and gender with sleep disturbance was evaluated by logistic regression analysis using a model adjusted for age and considering sleep disturbance the dependent variable. The level of significance was p < 0.05. Results: Night-shift work was associated with severe worsening of at least one component of sleep quality in the model adjusted for age (OR = 1.91; 95% CI 1.04; 3.50; p = 0.036). Female gender was associated with sleep disturbance (OR = 3.40; 95% CI 1.37; 8.40; p = 0.008). Quality of life and quality of sleep were closely correlated (R = -0.56; p < 0.001). Conclusions: Characteristics of the nursing profession affect sleep quality and quality of life, and these two variables are associated.

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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Saúde Coletiva - FMB

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

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Considering the importance of spatial issues in transport planning, the main objective of this study was to analyze the results obtained from different approaches of spatial regression models. In the case of spatial autocorrelation, spatial dependence patterns should be incorporated in the models, since that dependence may affect the predictive power of these models. The results obtained with the spatial regression models were also compared with the results of a multiple linear regression model that is typically used in trips generation estimations. The findings support the hypothesis that the inclusion of spatial effects in regression models is important, since the best results were obtained with alternative models (spatial regression models or the ones with spatial variables included). This was observed in a case study carried out in the city of Porto Alegre, in the state of Rio Grande do Sul, Brazil, in the stages of specification and calibration of the models, with two distinct datasets.

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Pós-graduação em Saúde Coletiva - FMB

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Pós-graduação em Biociências - FCLAS

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Pós-graduação em Fisiopatologia em Clínica Médica - FMB

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Pós-graduação em Fisiopatologia em Clínica Médica - FMB

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In this paper we propose a hybrid hazard regression model with threshold stress which includes the proportional hazards and the accelerated failure time models as particular cases. To express the behavior of lifetimes the generalized-gamma distribution is assumed and an inverse power law model with a threshold stress is considered. For parameter estimation we develop a sampling-based posterior inference procedure based on Markov Chain Monte Carlo techniques. We assume proper but vague priors for the parameters of interest. A simulation study investigates the frequentist properties of the proposed estimators obtained under the assumption of vague priors. Further, some discussions on model selection criteria are given. The methodology is illustrated on simulated and real lifetime data set.