• Title/Summary/Keyword: the Korean Longitudinal Study of Ageing

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Korean Longitudinal Study of Ageing: Research Design for International Comparative Studies (고령화연구패널조사의 국제비교연구 활용 가능성)

  • Boo, Ka-Chung;Chang, Ji-Yeun
    • Survey Research
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    • v.7 no.2
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    • pp.97-122
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    • 2006
  • Korean Longitudinal Study of Ageing(KLoSA)', launched in 2006, has developed a research network with 'Health and Retirement Study(HRS, US),' Studies on Health and Retirement in Europe(SHARE, EU),' and 'English Longitudinal Study of Ageing(ELSA, UK)'and tried to construct a mega data library. The KLoSA team has designed their research with focusing on the following three points, in order to use KLoSA for international comparative studies. First, KLoSA shares the key research areas such as family structure, health, employment, income, asset, subjective expectations with the comparable studies. Second, KLoSA team has developed the instrument to reflect the Korean culture and institutions. They considered the institutional characteristics in public pension and health care system and in employment practices. They also counted the cultural conventions in family life such as financial management and care exchange, Finally, KLoSA tries to capture the psychological characteristics of the Korean elderly by making the measurement scales more understandable.

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CAPI and Higher Data Quality: the Case of KLoSA and Blaise CAPI Programme (컴퓨터를 이용한 대인면접이 조사 자료의 질 개선에 미치는 영향: 고령화연구패널조사의 Blaise 활용 사례를 중심으로)

  • Shin, Hyun-Goo;Lee, Hye-Jung
    • Survey Research
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    • v.7 no.2
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    • pp.71-95
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    • 2006
  • This article presents strengths of Computer-Assisted Personal Interviewing(CAPI) in social surveys with complicated questionnaires, from examples of a pilot and the first year surveys of the Korean Longitudinal Study of Ageing(KLoSA). This study focuses on how to improve the quality of data by using CAPI and finds five strengths among others. First of all, CAPI can contribute to reducing response errors by structuring the logic and path of questionnaires, setting a response range, and maintaining response consistency. Second, CAPI enhances convenience of interviewing by allowing customized questions and automatic calculation and scoring. It also allows the 'help' function. Third, its random arrangement of questions prevents response order effect and/or questions order effect. Fourth, CAPI can raise the response rate by reducing item non-responses. Fifth, it makes it easy monitoring interviewing, thus helps supervising interviewers and modifying questionnaires when necessary. These merits of CAPI contribute to reducing possible errors in the process of interviewing, therefore improve the data quality.

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Analysis of Choice factors of Korean Medicine and Pain Assessment - Using a Korean Longitudinal Study of Ageing(KLoSA) - (한의의료 이용자의 통증 평가와 한의의료 이용 영향요인 분석 - 고령화 패널을 이용하여 -)

  • Jang, Hye-Kyoung;Jung, In Chul;Park, Yang Chun;Park, So Jung
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.32 no.6
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    • pp.411-417
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    • 2018
  • Last year, the elderly population aged 65 years and over exceeded 14.2 percent of the total population, and Korea has entered the ageing society. At the same time, social interest in improving the health level and quality of life in the elderly has also increased. In particular, pain is one of the most common diseases experienced by middle-aged and elderly people and is one of the factors that closely affect the quality of life. The purpose of this study was to analyze the factors affecting the pain level and pain region of Korean medicine users and the use of Korean medicine in the Korean middle aged and elderly using the 6th Korean Longitudinal Study of Ageing (KLoSA) panel. As a result, the main influencing factors of Korean medical care were subjective factors such as gender, subjective health status, and education level. In particular, half of the middle-aged and elderly who used Korean medicine experienced back and knee pain, and generally complained of low level of pain. This study suggests the need for research and development of Korean medicine that can control and relieve the pain of the middle-aged and elderly.

Contact between Never Married Children and Their Parents: Moderating Effects of Children's Gender (비혼자녀와 부모의 접촉: 자녀의 성별에 따른 차이)

  • Choi, Heejeong
    • Journal of Families and Better Life
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    • v.34 no.5
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    • pp.151-166
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    • 2016
  • This study examined frequency of contact between parents and their non-coresident, never-married daughters and sons compared to children in other marital statuses. Despite an increasing number of never married adults, little is known about the extent to which they may be willing to remain connected to and exchange support with their parents. The data were drawn from first wave of the Korean Longitudinal Study of Ageing (KLoSA, 2006). For analyses, respondents who had at least one non-coresident child aged 40 or older were selected, resulting in the analytic sample of 2,755 parents with 7,741 children. Both sibling fixed effects regression models and regression models with robust standard errors were estimated using the xtreg and reg procedures in STATA. Findings revealed significant marital status by gender interaction effects on face-to-face contact. Never-married daughters were more likely to see their parents compared to their married, divorced, or widowed counterparts. Never-marred sons, on the other hand, reported slightly lower levels of in-person contact with their parents in comparison to married sons and lower levels of contact compared to divorced or widowed sons. More frequent contact via phone, mail, or email was reported in daughter-parent relationship compared to son-parent relationship, but no significant marital status by gender interactions were observed.

Trajectories of the Marital Satisfaction among Middle and Old Aged Couples Using Parallel Latent Growth Model: Actor and Partner Effects (병렬적 잠재성장모형을 적용한 중노년기 부부의 결혼만족도 변화궤적: 자기효과와 상대방효과)

  • Cho, Kyuyoung;Lee, Seolah
    • Human Ecology Research
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    • v.58 no.3
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    • pp.333-341
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    • 2020
  • This study examined the trajectories of the marital satisfaction among middle and old aged couples for 8 years. This study focused on middle and old aged couples who were relatively uninterested in family research. Using the 1-5 Waves of Korean Longitudinal Study of Ageing (KLoSA) 2006-2014, the study included 635 middle and old aged couples whose husbands were 65-74 years old at baseline. First, a latent growth model indicated that a husband's and wife's marital satisfaction trajectories decreased over time. Second, a parallel latent growth model indicated that a husband's marital satisfaction trajectories decreased more quickly, when the initial level of their own marital satisfaction was higher (husband's actor-effect); in addition, a wife's marital satisfaction trajectories also decreased more quickly, when the initial level of their own marital satisfaction was higher (wife's actor-effect). Wife's marital satisfaction trajectories decreased more slowly, when the initial level of their husband's marital satisfaction was higher (husband's partner-effect); however, the husband's slope was not associated with the initial level of their wife's. The methodological value of this work shows the application of a parallel latent growth model that includes the actor and partner effect of APIM. The findings extend our understanding of longitudinal marital dynamics between couples and promote a study on the trajectories of marital satisfaction at stages of the family life cycle.

Patterns of the Change and the Predictors of the Social Exclusion of the Older People: Analysis of English Longitudinal Study of Ageing(ELSA) (노인의 사회적 배제 수준의 변화유형과 예측요인: 영국고령화패널(ELSA)분석)

  • Park, Hyunju;Chung, Soondool
    • 한국노년학
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    • v.32 no.4
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    • pp.1063-1086
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    • 2012
  • The purpose of this study is to understand the current state of the older people's social exclusion by identifying patterns of the change in social exclusion level through a longitudinal analysis with an aim of exploring the predictors of changes. To this end, this study has adopted the panel data, the English longitudinal Study of Ageing(ELSA). The data of 7631 respondents who aged over 50 were used for the final analysis. The social exclusion of the older people was analyzed into five different sub-dimensions: social relationship; cultural activities; access to health services; financial security; and sense of loneliness. The person-centered approach that focuses on the various patterns of the trajectories of change has used semi-parametric group based model in order to estimate different trajectories among individuals. The data was analyzed using Spss 18.0 and SAS 9.2 proc traj. In results, First, semi-parametric group-based model analysis has shown that the older people are not 'homogeneous' group with similar exclusion level in every individual with same trajectories of change, but can be divided into various categories with diverse intercept and slope. Second, different trajectories in change of exclusion level help to confirm that the older people's social exclusion level increases gradually over time or remains unchanged. Third, this analysis has provided the useful guidelines to identify the high-risk groups of social exclusion. Forth, the variables that make difference in more than three dimensions include gender, age, self-perceived health, physical activity, weekly income, marital status, family relation, and beneficiary status. Implications and further suggestion were discussed.

The Determinants of the Expected Demand for Elderly Care by Government in Aged Korea (국가에 의한 노후보장 기대수준 결정요인)

  • Seo, Ji-Won
    • Journal of Family Resource Management and Policy Review
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    • v.13 no.3
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    • pp.59-84
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    • 2009
  • The purpose of this study was to investigate the determinants of policy demand for elderly care in aged Korea. The data from the first wave of KLoSA (Korean Longitudinal Study of Ageing) aged over 45 were used (n=10,165). The major findings were as follows: First, human capital, social capital, and socioeconomic variables influenced on the expected demand for elderly care by government, controlling the expectations of future life and society. Second, the effects of determninants on the expected demand for elderly care by government varied by the level of human capital, social capital, and socioeconomic variables, including ADL and IADL, familial support by children, public transfers, and age. Based on the empirical results, the implications for welfare mix of elderly care were provided.

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Influential Factors of Social Relation on the Change in the Depression Level of Elderly -Longitudinal Analysis using a Latent Growth Model (노인의 사회적관계 요인이 우울 궤적에 미치는 영향 -잠재성장모형을 이용한 종단연구)

  • Kim, Jin-hun
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.138-148
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    • 2019
  • Although social relation factors are confirmed to be closely associated with the depression level of the elderly through the preceding studies, there has been no specific study on subfactors of social relation that influence the trajectory of depression level. Considering such limitation, this study aims to analyze influencing subfactors of social relation on the trajectory of depression of the elderly. The 3rd, 4th, 5th, and 6th-year data of the Korean Longitudinal Survey of Ageing (KLoSA), which were provided by the Korea Employment Information Service (KEIS), were used in this study and 2,484 people aged 65 and over who responded to all the four-session surveys were used as final analysis subjects. In the result of the longitudinal study on depression level of the elderly aged 65 and over, the individual depression level was confirmed become lowered over time, showing a positive change. Also, the conditional model of Latent Growth Modeling (LGM) was applied to identify specific social network factors that influence the longitudinal change of depression level of the elderly. In the result of the analysis, it was found that initial value of depression of the elderly was influenced by whether they have a spouse or not, number of household member, meeting with close people, whether they do economic activity or not, whether they have a religion or not, etc. and the rate of change in depression of the elderly was influenced by number of household member, meeting with close people, expectation about life, etc. Through above results, this study suggests a need for specific programs and supports to continuously lower the depression level of the elderly.

Influential Factors on the Change in Life Satisfaction of Elderly Households -Longitudinal Analysis using a Latent Growth Model (노인가구 노인의 삶의 만족도 변화에 미치는 영향 요인 -잠재성장모형을 이용한 종단연구)

  • Kim, Jin-hun
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.339-349
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    • 2019
  • The purpose of this study is to analyze the influential factors on the change in life satisfaction of elderly households. In this study, single and couple elderly households were defined as elderly households and the 2nd, 3rd, and 4th data of the Korean Longitudinal Survey of Ageing (KLoSA) provided by the Korea Employment Information Service (KEIS) were used. And 677 respondents aged 65 and over who had replied to all 3 sessions were included in the final subjects. multinomial logistic regression analysis was conducted to examine the influential factors on life satisfaction by the type of elderly households according to consumption pattern and the result showed that there were common influential factors such as house owning status and subjective health status and the factors that influence specific types such as expectancy of standard of living. In addition, in the longitudinal analysis of life satisfaction of elderly households, individual satisfaction level was confirmed to reduce with time and the factors that influence the longitudinal change in the level of life satisfaction of elderly households was analyzed through the conditional model of a latent growth model. The analysis results showed that household type, house owning status, and subjective health status influenced the initial value of life satisfaction of elderly households while household type and expectancy of living standard influenced the change rate of life satisfaction of elderly households. Based on the results of this study, the followings are suggested. There is a need to improve the life satisfaction of old age by increasing the opportunity for self-realization of elderly households and also policy approach should be made selectively taking various types into consideration.

Prediction Models of Mild Cognitive Impairment Using the Korea Longitudinal Study of Ageing (고령화연구패널조사를 이용한 경도인지장애 예측모형)

  • Park, Hyojin;Ha, Juyoung
    • Journal of Korean Academy of Nursing
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    • v.50 no.2
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    • pp.191-199
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    • 2020
  • Purpose: The purpose of this study was to compare sociodemographic characteristics of a normal cognitive group and mild cognitive impairment group, and establish prediction models of Mild Cognitive Impairment (MCI). Methods: This study was a secondary data analysis research using data from "the 4th Korea Longitudinal Study of Ageing" of the Korea Employment Information Service. A total of 6,405 individuals, including 1,329 individuals with MCI and 5,076 individuals with normal cognitive abilities, were part of the study. Based on the panel survey items, the research used 28 variables. The methods of analysis included a χ2-test, logistic regression analysis, decision tree analysis, predicted error rate, and an ROC curve calculated using SPSS 23.0 and SAS 13.2. Results: In the MCI group, the mean age was 71.4 and 65.8% of the participants was women. There were statistically significant differences in gender, age, and education in both groups. Predictors of MCI determined by using a logistic regression analysis were gender, age, education, instrumental activity of daily living (IADL), perceived health status, participation group, cultural activities, and life satisfaction. Decision tree analysis of predictors of MCI identified education, age, life satisfaction, and IADL as predictors. Conclusion: The accuracy of logistic regression model for MCI is slightly higher than that of decision tree model. The implementation of the prediction model for MCI established in this study may be utilized to identify middle-aged and elderly people with risks of MCI. Therefore, this study may contribute to the prevention and reduction of dementia.