Prevalence and Correlates of Cognitive Impairment among the Elderly in a General Hospital

Aims: To estimate the prevalence and correlates of cognitive impairment (CI) among the elderly in a general hospital. Methods: A cross-sectional study, including 200 Brazilian inpatients aged 60 years or over, using the Mini Mental State Examination to evaluate CI (dependent variable), and the Geriatric Depression Scale and the Katz and Lawton Index to evaluate basic (BADL) and instrumental activities of daily living (IADL). Results: 56% were women, 29% were dependent for BADL and 77.5% for IADL. The prevalence of CI was 29% and, in the logistic regression, it remained associated with higher age (1 74 years old), number of previous hospitalizations (1 3) and dependency for BADL (being dependent raised the odds of being cognitively impaired). Conclusions: It is essential to train the hospital staff to properly assist these patients, and to orient and support their caregivers. Copyright (C) 2009 S. Karger AG, Basel

Prevalência de sintomas ansiosos e depressivos em pacientes acompanhados em Ambulatório de Cuidados Paliatiovos do Hospital das Clínicas da Faculdade de Medicina de Botucatu

Pós-graduação em Saúde Coletiva - FMB

Avaliação instrumental da correspondência de cor de resinas compostas em função de escala de referência, tonalidade, composição e espessura

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Correlates of above-average cognitive performance among older adults: the SABE study

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

Multicollinearity and financial constraint in investment decisions: a bayesian generalized ridge regression

This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge regression for multicollinearity problems among the variables in the model. Prior distributions are assumed for the parameters, classifying the model into random or fixed effects. We used a Bayesian approach to estimate the parameters, considering normal and Student t distributions for the error and assumed that the initial values for the lagged dependent variable are not fixed, but generated by a random process. The recursive predictive density criterion was used for model comparisons. Twenty models were tested and the results indicated that multicollinearity does influence the value of the estimated parameters. Controlling for capital intensity, financial constraints are found to be more important for capital-intensive firms, probably due to their lower profitability indexes, higher fixed costs and higher degree of property diversification.