Identifying depressive symptoms in community-dwelling elders has been problematic, due to a lack of resources and training for health clinicians. Previous researchers have indicated that older adults who engage in physical activities can prevent, or mitigate depression, but no model has included this variable in conjunction with factors such as lifestyle or sociodemographic characteristics. In this study, a predictive design was used with a regression analysis. The purpose of this quantitative study was to investigate the relationship between depressive symptoms and the different factors identified in the literature as significant contributors to its prevalence among older community-dwelling adults. Erikson's theory of psychosocial development, Beck's cognitive model of depression, and the learned helplessness model were used as the theoretical foundations to determine whether lifestyle activities, perceived social support, sociodemographic variables, and comorbidities can predict depressive symptoms. The sample consisted of 156 older adults who were 60 years of age and older and living in Northern Louisiana. Pearson correlation analysis and multiple regression analyses were used to investigate whether (a) daily lifestyle activities, (b) community setting (rural or urban), (c) gender, (d) perceived social support, (e) marital status, and (f) comorbidities can predict depressive symptoms. The 2 primary predictors of depression among older adults were low activity levels and low perceived social support. Positive social implications include improving counselors' and mental health practitioners' knowledge of the ways to lessen the depressive symptoms experienced by the elderly population.

The purpose of this thesis was to identify fall risk individuals (+55) after stroke by validating a fall risk index and in post-stroke individuals with high risk of falls evaluate the impact of an intervention program on fall risk factors.A previously developed fall risk index was validated, modified and re-validated. The validation showed a sensitivity of 97% and a specificity of 26%. This result was not considered sufficiently accurate. Therefore a modified index was created in the Validation sample and re-validated back in the Model fit sample. The modified index was reduced to three items and included postural stability + visuospatial hemi-inattention + male sex.The randomized controlled trial contained an intervention program (IP) with High-Intensity Functional Exercises as well as implementation these exercises in to real life situations together with educational group discussions. The participants were enrolled and randomized three to six months after their stroke. The assessments were performed at the Clinical Research Center at Norrlands University Hospital. The Intervention Group (IG) received a program of 35 sessions (exercise and group discussions) and the Control Group (CG) received five group discussions.Performing daily activities at 6 months follow-up and falls-efficacy post-intervention and at the 3 months follow-up showed significant improvement in the IG compared with the CG (p<0.05). The IP did not have a statistically significant impact on Balance or Lifestyle activities. When evaluating gait, step time variability for the paretic leg and the variability in Cycle Time for the paretic and non-paretic leg were improved for the IG. The time spent on the non –paretic leg in the gait cycles’ most stable phase, Double Support, was reduced by almost half (0.9 sec to 0.4 sec) since baseline for the IG after the intervention and remained reduced to the three month follow-up. Quality of Life showed an improvement in the CG compared with the IG for the mental scales, Mental Component Scale and Mental Health subscale at the 3 month follow-up (p=.02).In conclusion, this intervention program significantly improved performance of everyday life activities, falls-efficacy and the variability in gait. These are three major fall risk factors and might in the long run have an impact on decreasing falls in persons that had a stroke.