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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Article info
Publication history
Published online: March 06, 2023
Accepted:
February 20,
2023
Received in revised form:
January 15,
2023
Received:
August 14,
2022
Identification
Copyright
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