A model of social stressor variables, social integration variables and demographic control variables was tested to assess their impact on alcohol use among the elderly. A secondary analysis of a survey on alcohol use among the elderly in Edmonton, Alberta, Canada, was conducted to test the major hypotheses of the study. Contingency table analysis, using gamma and partial gamma as correlation coefficients, was utilized in the data analysis. The first hypothesis, in regard to the positive relationship of social stressors with alcohol use, was confirmed. The best predictors of alcohol use among the social stressor variables were usual occupation, length of retirement, annual income, and subjective health status. The second hypothesis, that the social integration variables would be negatively related to alcohol use, received only moderate support. The results of the analysis indicated that six of the ten social integration variables were negatively related to alcohol use. Only three of these variables, retirement status, religious participation, and marital status, were statistically significant. Hypothesis three also was not confirmed. The introduction of the social integration variables did not substantially decrease the strength of the relationship between social stressors and alcohol use. Gender and age were also introduced as control variables for …

The accessibility, predictors, and use of health care and social services among developmentally disabled elderly adults in Canada were examined using a nationally representative social survey. The first research hypothesis is that the independent variables will contribute significantly to the prediction of the dependent variables. A second hypothesis is that the slope of any given independent variable will not equal zero. The results of this research show that the illness (need) variables are the most predictive correlate of the utilization of health care and social services. The predisposing variables have secondary explanatory power, with the enabling variables accounting for the least amount of variance. The hypotheses were tested by step-wise multiple regression analysis using SPSS-X.

The world has experienced a tremendous growth in its elderly population. With the aging of the population, policy makers are concerned about the health of these elderly as well as their utilization of health care and social services and perceived need for additional services. The Canadian elderly population is similar to other elderly populations in that a few tend to be the heaviest users of the available services. The predictors of this utilization behavior and perceived need primarily include need variables, such as the number of limitations of daily living -- both ADLs and IADLs, and functional limitations. In addition, enabling variables, such as income, work activity and geographic region of residence were also found to be significant.