• Title/Summary/Keyword: Latent Class Growth Analysis

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Trajectories of Self-rated Health among One-person Households: A Latent Class Growth Analysis (1인가구의 주관적 건강상태 변화: 잠재계층성장모형을 활용하여)

  • Kim, Eunjoo;Kim, Hyang;Yoon, Ju Young
    • Research in Community and Public Health Nursing
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    • v.30 no.4
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    • pp.449-459
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    • 2019
  • Purpose: The aim of this study is to explore different types of self-rated health trajectories among one-person households in Korea. Methods: We used five time-point data derived from Korea Health Panel (2011~2015). A latent growth curve modeling was used to assess the overall feature of self-rated health trajectory in one-person households, and a latent class growth modeling was used to determine the number and shape of trajectories. We then applied multinomial logistic regression on each class to explore the predicting variables. Results: We found that the overall slope of self-rated health in one-person households decreases. In addition, latent class analysis demonstrated three classes: 1) High-Decreasing class (i.e., high intercept, significantly decreasing slope), 2) Moderate-Decreasing class (i.e., average intercept, significantly decreasing slope), and 3) Low-Stable class (i.e., low intercept, flat and nonsignificant slope). The multinomial logistic regression analysis showed that the predictors of each class were different. Especially, one-person households with poor health condition early were at greater risk of being Low-Stable class compared with High-Decreasing class group. Conclusion: The findings of this study demonstrate that more attentions to one-person households are needed to promote their health status. Policymakers may develop different health and welfare programs depending on different characteristics of one-person household trajectory groups in Korea.

A Short-term Longitudinal Study on Types and Predictors of Trajectories of Adaptation to Child Care Among Infants and Toddlers: Using Growth Mixture Modeling and Latent Classes Analysis (영아의 어린이집 적응 추이의 유형 및 예측 요인에 대한 단기종단연구: 성장혼합모형과 잠재계층분석을 활용하여)

  • Shin, Nary;Jo, Woori
    • Korean Journal of Childcare and Education
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    • v.16 no.1
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    • pp.115-143
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    • 2020
  • Objective: The purpose of this study was to examine underlying types of developmental trajectories of adaptation to child care among infants and toddlers. This study also aimed to identify latent classes in their child care adaptation types in order to find predictors that account for individual differences. Methods: Participants were 420 mothers of infants and toddlers and 123 teachers. The levels of child care adaptation of participating infants and toddlers were rated monthly from early April to June, 2019. The collected data were analyzed using growth mixture modeling, latent class analysis and multinominal logistic analysis. Results: The results of growth trajectories of child care adaptation showed there were two to four latent groups by dimension of child care adaptation. Also, the groups of individual dimensions of child care adaptation were classified into three latent classes, which were 'complying and positive group', 'negative group', and 'individualized group. Multinominal logistic analysis revealed that children's age, gender, and temperament differentiated the three latent classes of adaptation to child care. Conclusion/Implications: The results show individual characteristics that infants and toddlers possess should be prudently considered in order for successful adaptation to child care.

Latent Classes of Depressive Symptom Trajectories of Adolescents and Determinants of Classes (청소년 우울 증상의 변화 궤적에 따른 잠재계층유형 및 영향요인)

  • Kim, Eunjoo
    • Research in Community and Public Health Nursing
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    • v.33 no.3
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    • pp.299-311
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    • 2022
  • Purpose: Untreated depression in adolescents affects their entire life. It is important to detect and intervene early depression in adolescence considering the characteristics of adolescent's depressive symptoms accompanied by internalization and externalization. The aim of this study was to identify latent classes of depressive symptom trajectories of adolescents and determinants of classes in Korea. Methods: The three time-point (2018~2020) data derived from the Korean Children and Youth Panel Survey 2018 were used (N=2,325). Latent Growth Curve Modeling (LGCM) was conducted to explore the depressive symptom trajectories in all adolescents, and Latent Class Growth Modeling (LCGM) was conducted to identify each latent class. Multinomial logistic regression analysis was performed to confirm the determinants of each latent class. Results: The LGCM results showed that there was no statistically significant change in all adolescents' depressive symptoms for 3 years. However, the LCGM results showed that four latent classes showing different trajectories were distinguished: 1) Low-stable (intercept=14.39, non-significant slope), 2) moderate-increasing (intercept=19.62, significantly increasing slope), 3) high-stable (intercept=26.30, non-significant slope), and 4) high-rapidly decreasing (intercept=26.34, significantly rapidly decreasing slope). The multinomial logistic regression analysis showed that the significant determinants (i.e., gender, self-esteem, aggression, somatization, peer relationship) of each latent class were different. Conclusion: When screening adolescent's depression, it is necessary to monitor not only direct depression symptoms but also self-esteem, aggression, somatization symptoms, and peer relationships. The findings of this study may be valuable for nurses and policy makers to develop mental health programs for adolescents.

Classification of latent classes and analysis of influencing factors on longitudinal changes in middle school students' mathematics interest and achievement: Using multivariate growth mixture model (중학생들의 수학 흥미와 성취도의 종단적 변화에 따른 잠재집단 분류 및 영향요인 탐색: 다변량 성장혼합모형을 이용하여)

  • Rae Yeong Kim;Sooyun Han
    • The Mathematical Education
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    • v.63 no.1
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    • pp.19-33
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    • 2024
  • This study investigates longitudinal patterns in middle school students' mathematics interest and achievement using panel data from the 4th to 6th year of the Gyeonggi Education Panel Study. Results from the multivariate growth mixture model confirmed the existence of heterogeneous characteristics in the longitudinal trajectory of students' mathematics interest and achievement. Students were classified into four latent classes: a low-level class with weak interest and achievement, a high-level class with strong interest and achievement, a middlelevel-increasing class where interest and achievement rise with grade, and a middle-level-decreasing class where interest and achievement decline with grade. Each class exhibited distinct patterns in the change of interest and achievement. Moreover, an examination of the correlation between intercepts and slopes in the multivariate growth mixture model reveals a positive association between interest and achievement with respect to their initial values and growth rates. We further explore predictive variables influencing latent class assignment. The results indicated that students' educational ambition and time spent on private education positively affect mathematics interest and achievement, and the influence of prior learning varies based on its intensity. The perceived instruction method significantly impacts latent class assignment: teacher-centered instruction increases the likelihood of belonging to higher-level classes, while learner-centered instruction increases the likelihood of belonging to lower-level classes. This study has significant implications as it presents a new method for analyzing the longitudinal patterns of students' characteristics in mathematics education through the application of the multivariate growth mixture model.

Identifying Trajectories of Health-related Quality of Life in Mid-life Transition Women: Secondary Data Analysis of Korean Longitudinal Survey of Women & Families (중년전환기 여성의 건강관련 삶의 질 변화유형 분석: 여성가족패널 자료를 이용한 2차자료분석)

  • Son, Miseon
    • Research in Community and Public Health Nursing
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    • v.33 no.1
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    • pp.74-83
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    • 2022
  • Purpose: The purpose of this study was to identify latent classes of health-related quality of life trajectories in middle-aged women and investigate predictors for latent classes. Methods: This study utilized data from the 2nd, the 4th to the 7th Korean Longitudinal Survey of Women & Families. The subjects included 1,351 women aged 40~45 years. The data was analyzed using latent class growth analysis and logistic regression. Results: Two trajectories were identified for health-related quality of life in middle-aged women; 'persistently good' and 'increasing' groups. Predictors for the 'increasing' group were lower economic status, higher depression, and lower perceived health status. Conclusion: This study showed that characteristics of the individual, symptom status, and health perceptions were associated with health-related quality of life in middle-aged women. It is necessary to provide effective intervention for latent classes of health-related quality of life trajectories based on physical, mental, and social factors.

Identifying Trajectories of Behavioral Problems in Children with Allergic Diseases: Secondary Data Analysis of the 5th to 7th Panel Study of Korean Children (알레르기질환 아동의 문제행동 변화유형 분석: 5~7차 한국아동패널 자료를 이용한 2차자료분석)

  • Son, Miseon;Ji, Eunsun
    • Journal of Korean Academy of Nursing
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    • v.50 no.6
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    • pp.822-836
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    • 2020
  • Purpose: This study aimed to identify latent classes of behavioral problem trajectories in children with allergic diseases and investigate their predictors. Methods: This study used data from the 5th to 7th Panel Study of Korean Children. The participants included 840 children aged 4~6 years with allergic diseases. Statistical analyses were conducted using latent class growth analysis and multinomial logistic regression. Results: The trajectories of both internalizing and externalizing behavioral problems in children with allergic diseases were classified into five groups, that is deteriorative, recovering, changing 1 (decreasing-increasing), changing 2 (increasing-decreasing), and low state persistent group. For the internalizing behavioral problems, predictors were temperament, father's education, family interaction, and disconnection in peer interaction. For the externalizing behavioral problems, predictors child's gender, temperament, marital conflict, parenting stress, family interaction, and parenting environment. Conclusion: Deteriorative group has high-risk behavioral problems in children with allergic diseases. We suggest to provide interventions considering latent problem trajectories based on ecological environments for allergic children.

Influence of Multidimensional Deprivation on the Latent Class of Changing Trajectories: Comparison by Gender Differences (다차원적 박탈이 문제음주 변화궤적의 잠재집단에 미치는 영향: 성별 차이 비교)

  • Lee, SooBi;Lee, Suyoung
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.278-291
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    • 2021
  • This study performed a longitudinal research on the causal relationship between multidimensionality of problem drinking and poverty, and multidimensional deprivation meaning the inequality, focusing on gender difference. For this, this study examined the latent group of problem drinking change trajectory through the latent class growth analysis targeting total 3,770 men and 5,632 women by using the 6th-year Korea Welfare Panel Study data from 2013 to 2018, and then conducted the multinominal logistic regression analysis to verify the influence of multidimensional deprivation factors on this latent group. The main results of this study are as follows. First, the latent group of problem drinking change trajectory according to gender was classified into three latent groups in both men and women while the development aspect was different from each other. The male latent group with 'moderate level' or higher showed higher level of problem drinking than women. However, in case of 'drinking group with high level' according to gender, as time passed, the men tended to maintain it while the women tended to increase it. Second, in the results of examining the effects of multidimensional deprivation on the latent group of problem drinking change trajectory, the men with more experiences of social deprivation and the women with more experiences of social security deprivation showed the higher possibility to belong to the 'drinking group with high level' compared to the 'drinking group with low level'. Based on such results above, this study discussed the preventive/intervention measures for problem drinking according to gender.

Development of Social Work Strategies for School-linked services - Based on Latent Class Growth Analysis of Delinquent Behaviors in adolescence - (학교연계 서비스를 위한 사회복지실천 전략 개발 - 청소년기 경비행행동의 차별적 발달궤적에 대한 잠재계층성장분석 -)

  • Lee, Sang-Gyun
    • Korean Journal of Social Welfare Studies
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    • v.40 no.3
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    • pp.377-406
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    • 2009
  • This study used laten class growth analysis to identify discrete developmental patterns of delinquent behaviors in adolescence. This present article also examined associations among these trajectories to determine how the development of delinquent behaviors relates to protective and risk factors, which include parental monitoring, attachment with parent, association with deviant peers, self-control, and negative stigma from others. Four-wave panel data from a Korea Youth Panel Study were used for the latent class growth model analysis. The sample consisted of 3,446 adolescents who were assessed at 4 measurement waves with approximately 1-year interval. Four trajectories of delinquent behaviors emerged: delinquency persistence, delinquency increaser, delinquency decreaser, normative group(almost no delinquent behaviors). Association with deviant peers had the most proximal strong influence on the probability of being in the delinquency increaser and delinquency persistence group compared, noed to the normative group. Parental monitoring, self-efficacy and negative stigma also differentiated the four delinquent behavior trajectories from one another after controllig for socio-demographic variables. The study suggested that there is a significant heterogeneity in the timing and change rate of delinquency progression. Adolescent delinquency prevention and intervention programs will need to consider this heterogeneity and enhance attention to protective and risk factors depending on the subpopulation.

Latent Profile Analysis of PTSD symptoms and PTG among Adults in South Korea: the Differences in Binge Eating, Non-Suicidal Self-Injury, and Problem Drinking Behaviors (잠재프로파일분석(LPA)을 활용한 PTSD 증상과 외상 후 성장 수준의 양상: 폭식, 비자살적 자해, 문제성 음주행동에서의 차이)

  • DeokHee Lee;DongHun Lee;HayoungJung
    • Korean Journal of Culture and Social Issue
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    • v.25 no.4
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    • pp.325-351
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    • 2019
  • The present study examined patterns of co-occurrence between DSM-5 posttraumatic stress disorder(PTSD) symptoms and posttraumatic growth(PTG) among Korean populations(n= 860). Latent profile analysis was used to identify subclasses and suggested that the 3-class model fit best: (1) Low PTSD/Mild PTG group (2) Low PTSD/High PTG group; (3) High PTSD/High PTG group. Class membership was predicted by demographic variables, social isolation, and frequency of traumatic experiences. Classes also differed with respect to self-destructive behaviors(binge eating, non-suicidal self-injury, and problem drinking). These findings contribute to future research about the coexisting patterns of PTSD and PTG, and to identify high-risk individuals who suffer from trauma-related problems in clinical practice.

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.