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Research Article| Volume 43, P153-161, April 2023

Determining the correlation between old age adaptation, aging in place and depression in older adults: A descriptive correlational study

Published:March 06, 2023DOI:https://doi.org/10.1016/j.apnu.2023.02.004

      Highlights

      • Depression is more common in the elderly because they are a vulnerable group.
      • In previous studies, factors affecting depression were examined, but aging in place and adaptation difficulty in older adults were not looked at.
      • Aging in place and adaptation difficulty in older adults affect the level of depression. In addition, it was found with the machine learning approach that these factors affect more than demographic characteristics.

      Abstract

      We 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) Ağrı 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 Depression.” 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.

      Keywords

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