• Korean Journal of Clinical Pharmacy
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• v.34 no.2
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• pp.118-125
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• 2024

Background: Numerous studies have consistently demonstrated that depression can be associated with cognitive function decline, primarily focusing on older adults due to the neurodegenerative characteristics of dementia. With persistent depression frequently reported in patients with early-onset or young-onset dementia, this study aimed to assess the impact of depression, specifically the changes in depressive symptoms over time, on the risk of cognitive function decline in middle-aged adults in Korea. Methods: This retrospective study utilized data from the first four waves (2006-2012) of the Korean Longitudinal Study of Aging (KLoSA), focusing on middle-aged adults with normal cognitive function at baseline. Changes in depressive symptoms were categorized into four groups based on the CES-D score, and their association with cognitive function decline was evaluated using a multivariate logistic regression model. Results: Of the initial 10,254 participants, 3,400 were included in the analysis. Depressive status, particularly newly onset (adjusted odds ratio [aOR] 1.96; 95% confidence interval [CI] 1.32-2.93) and persistent depression groups (aOR 5.59; 95% CI 2.90-10.78), were significantly associated with cognitive function decline. In contrast, recovery from depressive symptoms was not significantly associated with cognitive function decline (p=0.809). Conclusions: Our study showed a significant association between changes in depressive symptoms and cognitive function decline in middle-aged Korean adults. This suggests that management of depressive symptoms could be crucial for the prevention of cognitive function decline in this population.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10531-10537
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• 2015

Background: To examine whether offspring improve or reduce quality of life (QOL) among cancer patients and survivors. Materials and Methods: We used data from the Korean Longitudinal Study of Aging (KLoSA) from 2008 to 2011. There were 490 research subjects in our study: 245 cancer patients and survivors and 245 controls matched using propensity scores. Results: For cancer patients and survivors with no offspring, the QOL estimate was -2.831 lower (SE: 5.508, p-value: 0.623) than that of those with two offspring, while for those with five or more offspring, the QOL estimate was 7.336 higher (SE: 2.840, p-value: 0.036). For non-cancer patients and survivors with one child, the QOL estimate was -11.258 lower (SE: 2.430, p-value: 0.002) than that of those with two offspring, while for those with five or more offspring, the QOL estimate was -4.881 lower (SE: 2.484, p-value: 0.090). Conclusions: This article provides evidence for a beneficial effect of offspring upon QOL in cancer patients and survivors, indicating that offspring are important for them.

• Journal of Society of Preventive Korean Medicine
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• v.23 no.2
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• pp.11-23
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• 2019

Objectives : The purpose of this study was to explore factors related quality of life among cancer survivor in order to identify strategies for cancer survivors to go back to normal life and carry on stable and high quality life. Methods : This study used the $1^{st}$ to $6^{th}$ data of Korean Longitudinal Study of Aging(KLoSA). The sample of this study consisted of 118 cancer survivors, all of whom were diagnosed with cancer for more than 10 years later in 2016. Results : Regression analysis of major factors related to the quality of life of elderly cancer survivors showed that the results of 2006 and 2016 were different. In 2006, factors related to cancer were highly correlated with quality of life, but in 2016, it was associated with pain and depression. Conclusions : The results of this study confirm that the factors related to quality of life in cancer survivors change with survival period. Therefore, this study suggests comprehensive care strategies based on the stage of survivorship.

• The Korean Journal of Health Service Management
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• v.14 no.1
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• pp.137-146
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• 2020

Objectives: The aim of this study was to investigate cognitive function decline by socio-demographic and health-related characteristics (health behaviors and health status) using 5th Korean Longitudinal Study of Aging panel data. Methods: The subjects were 4,440 community-dwelling people aged over 57 years. The data were analyzed with descriptive statistics, frequency analysis, χ²-test, and binary logistic regression analysis using SPSS ver. 25.0. Results: The findings revealed that socio-demographic characteristics (gender, age, area of residence, educational level, marital status, number of children, number of grand-children) and health-related characteristics (smoking, drinking, regular exercise, weight category by body mass index, hypertension and diabetes mellitus) were factors that influenced cognitive function decline (p<.05). Conclusions: Cognitive function decline was closely related to health behaviors and disease types. Future studies must examine related constructs to accurately determine these relationships among various populations. The present study could be used as a tool for the development and implementation of health promotion and prevention strategies.

• 한국노년학
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• v.29 no.4
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• pp.1479-1500
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• 2009

This study examined BMI distributions among older adults in three different countries: the U.S., Japan, and Korea. The paper also explored differences in the factors predicting BMI in the three countries using three data sets: the U.S. Longitudinal Study of Aging (LSOA II, 8,589 persons), the Nihon University Japanese Longitudinal Study of Aging (NUJLSOA, 2,888 persons), and the Korean Longitudinal Study of Ageing (KLoSA, 2,397 persons). Descriptive analysis and multiple regression were performed. Japanese older adults were somewhat lighter than Koreans with fewer people at the upper end of the BMI distribution. Distributions of BMI among both Koreans and Japanese are shifted leftward relative to Americans. There is less dispersion in the distribution of BMI for Koreans and Japanese than among Americans. The association between socioeconomic variables and BMI is stronger in the U.S. and Japan than in Korea. Demographic variables are strong predictors of BMI in Korea. In Japan, all health behaviors have significant effects on BMI. It is concluded that the relationships between behavioral, demographical, and socioeconomic factors and BMI are not the same across countries. Results have policy implications for the involvement of health practitioners in helping older adults to control weight.

• Korean Journal of Occupational Health Nursing
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• v.26 no.4
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• pp.247-260
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• 2017

Purpose: The purpose of this study was to investigate the individual and working environment-related factors affecting hypertension among middle-aged and elderly self-employed workers in South Korea. Methods: This was a secondary data analysis of data from the Korean Longitudinal Study of Aging (KLoSA). The study sample included 1,319 middle-aged and elderly self-employed workers who were diagnosed without hypertension and older than 45 years at Wave 1 of the KLoSA. Data were analyzed using descriptive statistics and Cox proportional hazards regression analysis using SPSS 20.0. Results: About 20% of the middle-aged and elderly self-employed workers were diagnosed with hypertension within about 8 years from the baseline. the significant predictors of hypertension among the participants were age, diabetes mellitus, body mass index, frequency of health examinations, working hours per week, the presence of regular day off, and the type of job. Conclusion: Middle-aged and elderly self-employed workers are vulnerable to work-related health problems. In order to prevent hypertension among self-employed workers, it is necessary to improve the work environment-related factors as well as individual life styles.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.248-253
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• 2019

Early diagnosis of mild cognitive impairment (MCI) can reduce the incidence of dementia. This study developed the MCI prediction model for the elderly in Korea. The subjects of this study were 3,240 elderly (1,502 men, 1,738 women) aged 65 and over who participated in the Korean Longitudinal Survey of Aging (KLoSA) in 2012. Outcome variables were defined as MCI prevalence. Explanatory variables were age, marital status, education level, income level, smoking, drinking, regular exercise more than once a week, average participation time of social activities, subjective health, hypertension, diabetes Respectively. The prediction model was developed using Restricted Boltzmann Machine (RBM) neural network. As a result, age, sex, final education, subjective health, marital status, income level, smoking, drinking, regular exercise were significant predictors of MCI prediction model of rural elderly people in Korea using RBM neural network. Based on these results, it is required to develop a customized dementia prevention program considering the characteristics of high risk group of MCI.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.125-135
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• 2022

In this study, using KLoSA data, it was verified whether subjective expectations and depression had a multi-mediated effect on life satisfaction of the elderly with dementia and mild cognitive impairment. As a result of the analysis, first, it was analyzed that the higher the IADL of the elderly with dementia and mild cognitive impairment, the lower the subjective expectation, the higher the depression, and the lower the life satisfaction. Second, it was analyzed that as the subjective expectations of the elderly with dementia and mild cognitive impairment increased, depression decreased and life satisfaction increased. Third, it was analyzed that IADL in the elderly with dementia and mild cognitive impairment not only directly affects life satisfaction, but also indirectly affects life satisfaction through subjective expectations and depression, so it has a multi-mediated effect. Therefore, it is necessary to expand subjective expectations by expanding service providers that can support daily life restrictions for the elderly with dementia and mild cognitive impairment, providing regular programs by experts to reduce depression, and establishing new national pension benefits for dependents.

• 한국노년학
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• v.39 no.1
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• pp.37-60
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• 2019

This study was attempt to derive the aging trajectories of Korean elderly people and identify its characteristics. In particular, this study used the successful aging model of Rowe and Kahn as an analytical framework. Using the Korean Longitudinal Study of Ageing(KLoSA), this study applied group-based multi-trajectory analysis to identify multiple aging trajectories in sample of Korean elder aged 65~74(n=2,682). This study also used several demographic characteristics as baseline predictors to identify the characteristics of each aging trajectory. Five dimensions were analyzed in the multi-trajectory model: chronic disease, physical functional limitation, cognitive functioning, depressive symptom and social engagement. As a result of the analysis, five aging trajectories were identified: successful aging(17.8%), usual aging (33.9%), health declining aging(18.2%), pathological aging(7.9%), and aging with mild cognitive impairment(22.1%). In general, the odds of experiencing successful aging were high in men, low-aged, highly educated, high-income, and spousal elderly. On the other hand, for the elderly, who are under-educated, low-income, and high-aged, there was a high probability of experiencing a relatively difficult aging process. In particular, the odds of experiencing a mild cognitive impairment aging was high in older, lower-income women without a spouse.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.354-361
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• 2021

This study explored whether the transition to living with a chronic disease changes the level of depression symptoms among middle-aged and older adults in South Korea. We hypothesize that the transition to living with chronic disease leads to a higher level of depressive symptoms. A nationally representative sample (N = 6,284) of adults 45 years and older from the Korean Longitudinal Study of Ageing (KLoSA) was analyzed. Multi-regression modeling was used to examine the association between the diagnosis of chronic disease and the level of depressive symptoms in patients. The findings highlight the need for policy makers, clinicians, as well as patients and their caregivers to become more aware of mental health risks in patients diagnosed with chronic diseases, particularly first-time patients. This study contributes to encouraging greater psychosocial support, including monitoring the level of depressive symptoms of patients who develop chronic conditions and providing appropriate treatments for those at the highest risk.