• Title/Summary/Keyword: 소득 궤적

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Income Trajectories of Working Poor and Working Non-poor: A Latent Growth Model (근로빈곤층과 근로비빈곤층의 차별적 소득 궤적 - 잠재성장모형의 응용 -)

  • Lee, Sohyeon;Lim, Up
    • Journal of the Korean Regional Science Association
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    • v.37 no.1
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    • pp.15-27
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    • 2021
  • This study investigates the difference in income trajectories of the working poor and the non-working poor and explains the effects of socio-demographic (marriage, education) and regional (living in large cities) factors on intergroup differences. We use Seoul Survey data collected between 2009-2018 and the latent growth modeling approach. It was found that the trajectory difference between groups was statistically significant. Since 2016, the income gap widened as the income of the working poor stagnated. The three variables included in this model better explained the income trajectory of the working poor compared to the working non-poor. In particular, the change in income growth rate was positively related to whether they live in large cities. This suggests the possibility that living in a large city would act as an economic premium for the working poor. It is necessary to conduct follow-up studies on urban premiums for the working poor.

Multiple Aging Trajectories of the Elderly in Korea (한국 노인의 노화궤적 연구)

  • Kim, Sojin
    • 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.

Examining Trajectory of Retirees' Physical Health and Its Predictors : The Impact of Retirement Characteristics (중·고령은퇴자 신체건강 변화궤적의 예측요인 : 은퇴특성이 미치는 영향을 중심으로)

  • Jeong, Mee-Kyung
    • Proceedings of the Korea Contents Association Conference
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    • 2017.05a
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    • pp.375-376
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    • 2017
  • 본 연구는 은퇴 후 신체적 건강이 시간이 지남에 따라 어떤 변화양상을 나타내는지, 은퇴 후 신체적 건강에 영향을 주는 것으로 알려진 은퇴 특성(은퇴시점, 은퇴자발성 여부) 변인이 은퇴 후 신체적 건강의 궤적에 어떠한 영향을 미치는지를 분석하고자 하는 목적으로 실시되었다. 분석 자료는 국민노후보장패널 3차시(2009년), 4차시(2011년), 5차시(2013년) 종단자료이며, 2,857명을 대상으로 잠재성장모형 분석을 실시하였다. 연구결과, 첫째, 중 고령은퇴자의 신체적 건강은 시간의 흐름의 변화를 알아보기 위해 무조건부 모형을 통해 확인한 결과, 중 고령은퇴자들은 시간이 지남에 따라 더 높은 수준의 ADL 값을 갖는 것으로 나타났다. 둘째, 중 고령은퇴자의 신체적 건강변화와 관련이 있는 은퇴특성은 무엇인지 조건부 모형을 통해 알아본 결과, 은퇴 특성 변수로는 조기은퇴자일 때, 은퇴가 비자발적일 때, 건강상 이유로 은퇴했을 때 더 높은 ADL 초기값을 보였다. 또한 변화궤적 영향요인을 살펴본 결과, 은퇴특성에서는 어떤 변수도 유의성을 보이지 않았고, 인구사회학적 변수 중에서는 연령이 높을수록, 소득이 높을수록 ADL의 증가속도가 더욱 가파른 것으로 나타났다.

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Multiple Trajectories of Depressive Symptoms Among Older Adults (노년기 우울의 다중변화궤적에 관한 연구)

  • Kang, Eun-Na;Choi, Jae-sung
    • 한국노년학
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    • v.34 no.2
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    • pp.387-407
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    • 2014
  • This study aims to identify the multiple trajectories of depressive symptoms and the characteristics of each trajectory group among the elderly. This study uses five waves of longitudinal data from the Korean Welfare Panel Study (KWPS, 2006-2010). Subjects were older adults aged 60 and over who had completed at least three waves between 2006 and 2010. A total of 4,181 respondents were analyzed. The latent growth mixture model and the multiple logistic regression model were mainly used for data analysis. The major findings were as follows: After controlling for the variables of gender, age, education, marital status, self-assessed health, and poverty, this study identified four different trajectory classes: stable low depressive symptoms (71.8%), high but decreased depressive symptoms (10.6%), moderate but increased depressive symptoms (7.9%), and an increased, then a decreased pattern of depressive symptoms (9.7%). The characteristics of theses trajectories as compared to previous studies were a lower percentage of 'stable low depressive symptoms', no 'persistently high depressive symptoms', and higher level of depressive symptoms. Also, the elderly in the stable low trajectory group had better health status, higher self-esteem and a good relationship with family members, having longer working periods, and more living in non-poverty. In addition, chronic health problems, loss of spouse, and household income differentiated the increased and then decreased pattern from the low stable pattern. Also, age and public pension differentiated the moderated but increased pattern from the low stable pattern. Based on the findings of this study, the researchers suggested political and practical implications for reducing depressive symptoms in later life.

Longitudinal Trajectories of Computer Game Use among School Age Children: Using Latent Class Growth Model (학령기 아동의 게임 사용시간 변화궤적 분석 : 잠재계층성장분석(LCGM)을 활용하여)

  • Kim, Dong Ha
    • Korean Journal of Social Welfare Studies
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    • v.48 no.2
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    • pp.303-329
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    • 2017
  • This study aimed to explore the trajectories of computer game use of school age children and to identify the related predictors. The data for this study used Korean Children and Youth Panel data covering from the second year to the sixth year of elementary school. A total of 1,959 participants were analyzed. Latent class growth model was employed to explore the trajectories of computer game use and multinomial logistic regression was conducted to identify the significant predictors. Main results indicated that three types of trajectories were identified: low game using group, high initial using-fluctuating group, and high increasing game using group. Each group was found to be associated deferentially with sex, aggression, attention deficit, main caregiver's education, siblings, parent absence after-school, neglecting, family income, family trip, school grades, and peer relationship. Based on these findings, this study emphasized the importance of predictive intervention for the game user among early school age children and suggested useful practical strategies.

Aging and Poverty -Focusing on Age Group Differences in Poverty Trajectories- (노인되기와 빈곤 -빈곤 궤적의 연령집단 차이를 중심으로)

  • Lee, Ji-In;Joo, Eun-Sun
    • Journal of the Korea Convergence Society
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    • v.11 no.5
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    • pp.261-273
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    • 2020
  • The purpose of this study is to examine the trajectories of multi-dimensional poverty in the process of transitioning from middle age to old age, and to identify the factors that influence them. Using the Korea Welfare Panel Data(2006 ~ 2018), we examined the trajectory of changes in multi-dimensional poverty for 13 years by prospective elderly and middle aged group aged 55 or older in 2006 through the potential growth model. Multidimensional poverty is divided into seven dimensions in four areas: economy (income, employment), environment (residential), health, social culture (leisure, family relations, and social relations). The results showed that the level of multi-dimensional poverty decreased with time, and the overall poverty level was higher than that of the pre-old and the average. As a result of analyzing the condition model with the independent variable, the variables affecting poverty change were found in the order of spouse free and educational level for the elderly and gender and education level for the elderly. In other words, multi-dimensional poverty is gradually improving, but the rate of change and the variables that affect each age group are different.

Influence of Protective and Risk Factors on Delinquent Behavior Trajectories (청소년 비행행동의 궤적에 영향을 미치는 보호요인과 위험요인)

  • Lee, Sang-gyun
    • Korean Journal of Social Welfare Studies
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    • no.39
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    • pp.315-342
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    • 2008
  • The aim of this study was to examine growth trajectories of delinquent behaviors during adolescence. In addition, the effects of protective and risk factors that might account for individual difference in the level of delinquent behaviors and in the rate of change were examined. Four waves of data in the Korea Youth Panel Survey(KYPS) were used to analyze the linear growth modeling. The sample consisted of 3346 adolescents who were assessed at 4 measurement waves with approximately 1-year intervals. The results showed significant individual differences in both final level of delinquent behaviors and in the rate of change across 3 measurement occasions. Adolescent gender, family's socioeconomic background predicted the final level and the rate of change of delinquent behaviors. The protective effects of positive parenting and self-control were significantly associated with problem behaviors and the risk effects of the association with deviant peers and negative stigma were significant on the final level of delinquency. Self-control and deviant peer affiliation had differential influences over time significantly. Practice and policy implications as well as further research topic were discussed in the light of searching for important factors in preventing adolescent problem behaviors.

Multidimensional Health Trajectories and Their Correlates Among Older Adults (노인의 다중적 건강 변화궤적 유형화 및 관련요인 탐색)

  • Bae, Dayoung;Park, Eunbin
    • Journal of Korean Home Economics Education Association
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    • v.33 no.4
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    • pp.31-48
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    • 2021
  • The purpose of this study was to provide an understanding of the trajectories of multidimensional health among older adults, including depression, chronic diseases, and cognitive function. Data were drawn from the 1-6 waves of the Korean Longitudinal Study of Ageing(KLoSA), and a sample of 2,059 respondents aged 65 and older at baseline was used for the analyses. Latent growth curve models and growth mixture models were used to explore the changes in depression, chronic diseases, cognitive function, and heterogeneous trajectories among them. One-way ANOVAs with Scheffé post-hoc analysis and chi-square tests were used to find differences in sociodemographic characteristics, health behaviors, and life satisfaction across the latent trajectory classes. Latent growth curve models revealed that depressive symptoms and the number of chronic diseases increased over time, while cognitive function showed gradual decreases. Three heterogeneous patterns of multidimensional health trajectories were identified: normal aging, increase in chronic diseases, and chronic deterioration. Significant differences were observed in sociodemographic characteristics, health behaviors, and life satisfaction across the three latent classes. In particular, low educational attainment, household income, and life satisfaction were associated with the chronic deterioration class. Based on the findings, we discussed suggestions for health promotion education targeting older adults. This study also emphasizes the importance of home economics education in promoting health literacy across the life course.

A Exploratory Study on Multiple Trajectories of Life Satisfaction During Retirement Transition: Applied Latent Class Growth Analysis (은퇴 전후 생활만족도의 다중 변화궤적에 관한 탐색적 연구: 잠재집단성장모형을 중심으로)

  • Kang, Eun-Na
    • Korean Journal of Social Welfare Studies
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    • v.44 no.3
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    • pp.85-112
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    • 2013
  • This study aims to understand the developmental trajectories of life satisfaction among retirees and to examine what factors differentiate different trajectory classes. This study used three waves of longitudinal data from Korean Retirement and Income Study and data collected every two years(2005, 2007, and 2009). Subjects were respondents aged 50-69 who identified to be retired between wave 1 and wave 2. Finally, this study used 243 respondents for final data analysis. Life satisfaction was measured by seven items. The latent class growth model and multiple logistic regression model were used for data analysis. This study identified three distinct trajectory classes: high stable class(47.7%), high at the early stage but decreased class(42.8%), and low at the early stage and then decreased class(9.5%). This study founded that approximately 50% of the retirees experienced the decline of life satisfaction after retirement and about 10% of the sample was the most vulnerable group. This study analyzed what factors make different among the distinct trajectory groups. As a results, retirees who experienced the improvement in health change were more likely to be in 'high stable class' compared to 'hight at the early stage but decreased class'. In addition, retirees who were less educated, maintained the same health status rather than the improvement, worked as a temporary or a day laborer, and had less household income were more likely to belong to 'low at the early stage and then decreased class' relative to 'high stable class'. This study suggests that there are distinct three trajectories on life satisfaction among the retirees and finds out factors differentiating between trajectory groups. Based on these findings, the study discusses the implications for social work practice and further study.

Predictors of self-worth and self-deprecation trajectories among Korean adolescents (우리나라 청소년의 긍정적 자아존중감과 부정적 자아존중감의 변화궤적과 예측요인)

  • Yoo, Changmin
    • Journal of the Korean Society of Child Welfare
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    • no.59
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    • pp.25-58
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    • 2017
  • This study aimed to identify self-worth and self-deprecation trajectories and their associated factors among Korean adolescents. For these purposes, we used latent growth curve modeling involving 2,350 students who participated in the Korea Children and Youth Panel Survey in 2010, 2012, 2014, and 2015. Major findings are as follows: 1) Adolescents' self-worth and self-deprecation increased with time, but the speed gradually changed to a quadratic function model; and 2) the types of predictors affecting self-worth and self-deprecation were different. Specifically, the factors that affected only self-worth were adolescents' relationship with teachers and household income, and the factors that affected only self-deprecation were presence of disease and parental over interference. Factors affecting both self-worth and self-deprecation were child's sex, parental affection, peer trust, and peer alienation. These results suggest that independent intervention is needed for self-worth and self-deprecation. Furthermore, the results can be an important basis for establishing a more focused intervention strategy when intervening in self-worth and self-deprecation in adolescents.