Browsing by Author "Varol, Ela"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Article Determining the Correlation Between Old Age Adaptation, Aging in Place and Depression in Older Adults: a Descriptive Correlational Study(W B Saunders Co-elsevier inc, 2023) Yildiz, Metin; Varol, Ela; Elkoca, Ayse; Yildirim, Mehmet Salih; Sarpdagi, YakupWe conducted this study to determine the correlation between old age adaptation, aging in place, and depression in older adults. We carried out the descriptive correlational study with older adults (n:319) Agri Provincial Directorate of Health between October 2021 and April 2022. "SPSS 25 and Amos 23 programs" were used in the analysis of the data. Python 3.11.1, Microsoft Power BI programs were used for machine learning and graphical visualizations. In the study, it was determined that the model for the relationship between aging at a place level, adaptation difficulty in older adults level, and geriatric depression level was significant (F(2,316) = 37.002, p = 0.001). The aging in place level and the adaptation difficulty in older adults level explain 18.5% of the total variance of the level of geriatric depression. In the regression model, it was determined that the increase in the level of aging in place (t =-6.081, p < 0.001) and the decrease in the level of adaptation difficulty in older adults (t = 4.107, p < 0.001) of the participants caused a statistical decrease in the level of "Geriatric Depres-sion." It has been determined that adaptation difficulty in older adults has a moderator role in the relationship between geriatric depression level and aging in place level. In our data set, while the estimate of the presence of depression was 40 % with logistic regression analysis, it was 97 % with Random Forest. The study determined that as the level of aging in-place increased and the adaptation difficulty in older adults decreased, and depression decreased.Article The Effect of Rumination and Elder Abuse Level on Successful Aging in Elderly Individuals: Analysis With a Machine Learning Approach(Wiley, 2023) Yildiz, Metin; Varol, Ela; Yildirim, Mehmet Salih; Elkoca, Ayse; Sarpdagi, YakupBackground: This study aimed to determine the effect of rumination and elder abuse levels on successful aging in elderly individuals. Methods: This descriptive-correlational study was conducted with older individuals (n = 297) in Agri, Turkey, between October 2021 and May 2022. SPSS-22 and R v.4.1.3 were used in the study. Analysis was done with machine learning and artificial neural networks. Results: In the study, the mean age of the older individuals was 67.49 +/- 3.04. Statistical estimates showed the regression model to be significant and usable, F(2,294) = 116.659, P = 0.001. Elder abuse and ruminative thought levels together explained 43.9% of the total variance (R-2 = 0.439) of successful aging. The regression model indicated that increases in both the elder abuse level (t = -3.672, P < 0.001) and the ruminative thought level (t = -12.771, P < 0.001) of participants caused a statistically significant decrease in the successful aging level. The combined elder abuse and ruminative thought levels had a greater effect on successful aging (Model 1: F = 45.321, Model 2: F = 116.659, R-2 Change = 0.309). The R-2 value of the Random Forest regression model was 0.529, showing that the independent variables could explain 52.92% of the variation in the dependent variable. According to the SHapley Additive exPlanation values, which show the contribution or importance of each variable in the estimation of the model, it was determined that the most important variables for estimating the Successful Aging Scale variable were ruminative thought style and elder abuse screening. Conclusions: Our study indicates that a decrease in the levels of rumination and elder abuse could lead to improvement in successful aging. Longitudinal studies on successful aging in older individuals are recommended.