Condições associadas ao grau de satisfação com a vida entre a população de idosos

OBJECTIVE: As a result of overall growing population's life expectancy, it has become increasingly important to ensure not only that the elderly have greater longevity but also happiness and life satisfaction. The objective of the study was to describe factors associated with life satisfaction among elderly people.METHODS: Three hundred and sixty-five older persons, selected by means of random stratified proportional sampling, were interviewed in 2003. The instrument used was a combination of Flanagan and Nahas questionnaires and WHOQOL-100. There were added questions concerning physical activity extracted from International Physical Activity Questionnaire, questions regarding reported morbidity and emotional assessment, sociodemographic condition and an open question. The level of life satisfaction was measured using a scale from one to seven by means of visual recognition. Hierarchical logistic regression analysis was performed including life satisfaction as a dependent variable and those included the final questionnaire, in blocks, as independent variables.RESULTS: Most elderly were generally rather satisfied with life as well as with specific aspects. The level of life satisfaction was associated with: comfort at home (OR=11.82; 95% Cl: 3.27; 42.63); appraising leisure as quality of life (OR=3.82; 95% Cl: 2.28; 6.39); waking up feeling well in the morning (OR=2.80; 95% Cl: 1.47; 5.36); not reporting loneliness (OR=2.68; 95% Cl: 1.54; 4.65); having three or more daily meals (OR=2.63; 95% Cl: 1.75; 5.90) and not reporting Diabetes Mellitus (OR-2.63; 95% Cl: 1.3 1; 5.27).CONCLUSIONS: Most elderly in the study were satisfied with life and their satisfaction was associated with situations related to being well and not being diabetic.

Expectativas em relação aos efeitos do uso de álcool na região metropolitana de São Paulo: uma análise de gênero

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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.