An Exploratory Study on the Predictors of Cognitive Improvement among Older Adults: Using Korean Longitudinal Study of Aging(KLoSA)

Jeon, Hae Sook

doi:10.15709/hswr.2013.33.2.461

Cited by 10 publications

(4 citation statements)

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“…Various psychosocial characteristics, such as neighborhood interaction and life satisfaction, are important determinants of quality of life. [32]…”

Section: Methodsmentioning

confidence: 99%

“…Various psychosocial characteristics, such as neighborhood interaction and life satisfaction, are important determinants of quality of life. [32] The KLoSA defines neighborhood interaction as participation in any of the following activities: religious gatherings, social gatherings (e.g., rotational financing group meetings and senior welfare center meetings), leisure/cultural/sports groups, dedicated organizations (e.g., senior colleges), alumni/homecoming meetings/extended family meetings, volunteer work, and political parties/civic groups/interest groups.…”

Section: Psychosocial Characteristicsmentioning

confidence: 99%

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Effects of psychosocial characteristics on cognitive function in middle-aged and older adults: Focusing on change by year using the Korean Longitudinal Study of Aging panel data (2014–2018)

Park,

Jung

2024

Medicine

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Old age is associated with a higher risk of dementia. Psychosocial characteristics frequently affect cognitive function; however, the exact mechanism underlying the effect of psychosocial factors on cognitive function is unclear. Therefore, this study aimed to investigate the effects of psychosocial characteristics on cognitive function. The participants comprised 4809 middle-aged and older (years 50+) adults. The analysis used data from the Korean Longitudinal Study of Aging from 2014 to 2018. The effects of neighborhood interaction, depression, life satisfaction, and economic activity on cognitive function were examined, and a linear mixed model analysis was performed to assess the change in cognitive function by year. A statistically significant association was found between neighborhood interaction and time. Additionally, cognitive function decreased in the presence of depression and with time. In men, significant interactions were found between depression and time and between economic activity and time. In women, significant interactions were found between life satisfaction and time. The findings indicate that since active neighborhood interaction positively affects cognitive function, it is necessary to develop various community-wide social activity programs for middle-aged and older adults. As depression is a risk factor for cognitive impairment, it is crucial to prevent cognitive decline through continuous management of depression. Given the positive effects of economic activity on cognitive function in men, it is essential to expand infrastructure to sustain economic activity by developing educational programs and creating job opportunities for middle-aged and older men.

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“…Various psychosocial characteristics, such as neighborhood interaction and life satisfaction, are important determinants of quality of life. [32]…”

Section: Methodsmentioning

confidence: 99%

Section: Psychosocial Characteristicsmentioning

confidence: 99%

Effects of psychosocial characteristics on cognitive function in middle-aged and older adults: Focusing on change by year using the Korean Longitudinal Study of Aging panel data (2014–2018)

Park,

Jung

2024

Medicine

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“…There has been an increase in research on the cognitive functions of older adults as a result of the aging of the population, resulting in a heightened awareness of societal concerns and burdens. As part of a study on cognitive function, the following factors were identified as factors affecting cognitive function: gender [17][18][19][20][21], age [22,23], education [22,[24][25][26], residential area [27][28][29][30], economic status such as income and occupation [23,26,27,31], physical health [32], and mental health, including depression [22,[33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach

Park,

Lee,

Jeong

2023

Healthcare

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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.

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“…Low socio-economic status such as poor education and low income and demographic characteristics such as being female or having no spouse are additional predictors of age-related cognitive decline [13,14]. Likewise, previous studies have reported a number of risk factors associated with age-related cognitive decline in older Korean adults, and they include sociodemographic parameters, unhealthy behaviors, and poor health status [15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Predictors of Changes in Cognitive Function in Older Korean Adults: The 2006–2018 Korean Longitudinal Study of Aging

Kang

Lee

Hong

et al. 2021

IJERPH

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Cognitive decline with normal aging varies widely among individuals. This study aimed to investigate predictors of longitudinal changes in cognitive function in community-dwelling Korean adults aged 65 years and older. Data from 727 older adults who participated in the Korean Longitudinal Study of Aging (KLoSA) survey from 2006 (baseline) until 2018 (seventh wave) were used. Cognitive performance was assessed with the Korean Mini-Mental State Examination. The participants were retrospectively classified into normal cognition, mild cognitive impairment, and moderate/severe cognitive impairment. Education, income, religion, living area, alcohol intake, smoking, physical activity, handgrip strength, functional dependency, depression, comorbidity, medications, fall experience, and unintentional weight loss were included as covariates. A linear mixed regression analysis showed that a steeper decline in cognitive function over time was significantly associated with parameters of poor socio-economic status, health conditions, and unhealthy behaviors. Individuals with mild cognitive impairment or moderate/severe cognitive impairment were likely to have steeper cognitive declines compared with individuals with normal cognition. The current findings of the study showed that age-related cognitive decline was multifactorial in older Korean adults.

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An Exploratory Study on the Predictors of Cognitive Improvement among Older Adults: Using Korean Longitudinal Study of Aging(KLoSA)

Cited by 10 publications

References 0 publications

Effects of psychosocial characteristics on cognitive function in middle-aged and older adults: Focusing on change by year using the Korean Longitudinal Study of Aging panel data (2014–2018)

Effects of psychosocial characteristics on cognitive function in middle-aged and older adults: Focusing on change by year using the Korean Longitudinal Study of Aging panel data (2014–2018)

Predictors of Variation in the Cognitive Function Trajectories among Older Adults Living Alone: A Growth Mixture Modeling Approach

Predictors of Changes in Cognitive Function in Older Korean Adults: The 2006–2018 Korean Longitudinal Study of Aging

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