Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach
Background: Considering the global aging population, this study investigates changes in cognitive function and predictive factors among older adults living alone. Methods: Using data collected from the Korean Longitudinal Study of Aging (KLoSA), the study examines 1217 participants to identify disti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/11/20/2750 |
| _version_ | 1797573704225390592 |
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| author | Soyoung Park Seoyoon Lee Kyu-Hyoung Jeong |
| author_facet | Soyoung Park Seoyoon Lee Kyu-Hyoung Jeong |
| author_sort | Soyoung Park |
| collection | DOAJ |
| description | Background: Considering the global aging population, this study investigates changes in cognitive function and predictive factors among older adults living alone. Methods: Using data collected from the Korean Longitudinal Study of Aging (KLoSA), the study examines 1217 participants to identify distinct cognitive change patterns and the variables affecting them. Results: Two primary cognitive function change types emerged: “High-Level Declining Type” and “Low-Level Stable Type.” Although the former initially displayed normal cognitive function, it gradually declined over a period of 14 years until it reached mild cognitive impairment (MCI) levels by the year 2020. While the latter group had lower cognitive function from the beginning and remained stable throughout the study. Older age, female gender, rural residence, lower education, lower income, unemployment, and higher levels of depression were linked to a higher likelihood of belonging to the “Low-Level Stable Type”. Conclusions: The findings of these studies emphasize the need for proactive interventions and regular cognitive assessments for older individuals living alone, as cognitive impairment can develop even in individuals whose cognitive abilities are initially good. Also, tailored interventions should target specific demographic and socioeconomic groups to mitigate cognitive decline effectively. |
| first_indexed | 2024-03-10T21:13:48Z |
| format | Article |
| id | doaj.art-77e90c14f69b4fa2a45177ec52439aa0 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-10T21:13:48Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-77e90c14f69b4fa2a45177ec52439aa02023-11-19T16:37:36ZengMDPI AGHealthcare2227-90322023-10-011120275010.3390/healthcare11202750Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling ApproachSoyoung Park0Seoyoon Lee1Kyu-Hyoung Jeong2Department of Social Welfare, Semyung University, 65 Semyung-ro, Jecheon 27136, Republic of KoreaInterdisciplinary Graduate Program in Social Welfare Policy, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of KoreaDepartment of Social Welfare, Semyung University, 65 Semyung-ro, Jecheon 27136, Republic of KoreaBackground: Considering the global aging population, this study investigates changes in cognitive function and predictive factors among older adults living alone. Methods: Using data collected from the Korean Longitudinal Study of Aging (KLoSA), the study examines 1217 participants to identify distinct cognitive change patterns and the variables affecting them. Results: Two primary cognitive function change types emerged: “High-Level Declining Type” and “Low-Level Stable Type.” Although the former initially displayed normal cognitive function, it gradually declined over a period of 14 years until it reached mild cognitive impairment (MCI) levels by the year 2020. While the latter group had lower cognitive function from the beginning and remained stable throughout the study. Older age, female gender, rural residence, lower education, lower income, unemployment, and higher levels of depression were linked to a higher likelihood of belonging to the “Low-Level Stable Type”. Conclusions: The findings of these studies emphasize the need for proactive interventions and regular cognitive assessments for older individuals living alone, as cognitive impairment can develop even in individuals whose cognitive abilities are initially good. Also, tailored interventions should target specific demographic and socioeconomic groups to mitigate cognitive decline effectively.https://www.mdpi.com/2227-9032/11/20/2750cognitive functiondepressionolder adultsKorea |
| spellingShingle | Soyoung Park Seoyoon Lee Kyu-Hyoung Jeong Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach Healthcare cognitive function depression older adults Korea |
| title | Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach |
| title_full | Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach |
| title_fullStr | Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach |
| title_full_unstemmed | Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach |
| title_short | Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach |
| title_sort | predictors of variation in the cognitive function trajectories among older adults living alone a growth mixture modeling approach |
| topic | cognitive function depression older adults Korea |
| url | https://www.mdpi.com/2227-9032/11/20/2750 |
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