• Research in Community and Public Health Nursing
• /
• v.33 no.1
• /
• pp.74-83
• /
• 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 2^nd, the 4^th to the 7^th 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.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.6 no.1
• /
• pp.83-87
• /
• 2012

This study is aimed to identify latent classes which are based the change patterns in assistive technology device use among worker with disabilities and to test the effects of independent variables(gender, education, disability type, disability density, activity and participation of ICF: ICF, subjective socioeconomic status: SES, job satisfaction, life satisfaction) on determining latents classes. This study applied Nagin's(1999) semi-parametric group based approach to the panel survey of employment for the disabled. Because dependant variable has dichotomous scale, logit model was used. The results identified three latent classes, which could be defined based on the patterns as follows; assistive device continued use group, assistive device mid-level use group, assistive device sharp decline use group. The effects of the independent variables on the latent classes was tested by multinomial logit analysis. The results showed that education, disability type, ICF, SES, and life satisfaction were significant determinants of the latent classes. Finally, the implications based on analysis results were suggested.

• Survey Research
• /
• v.12 no.2
• /
• pp.113-144
• /
• 2011

The purposes of the present study were (1) to identify the latent classes depending on youth employees' trajectories in job satisfaction and turnover intention and (2) to test the effects of person-job fit(major fit, education level fit, skill level fit) on job satisfaction and turnover intention using Youth Panel 2001. In order to estimate latent classes of job satisfaction and turnover intention changes simultaneously and study probabilities linking latent class membership in trajectory across the two variables, we applied dual trajectory model, an extension of semi-parametric group-based approach, Results showed that four latent classes were identified for job satisfaction, which were defined, based on the trajectory patterns, as increasing group, decreasing group, medium-level group, and high-level group. And, three latent classes estimated for turnover intention were defined as low-level group, maintaining group, and rapidly decreasing group. To test the effects of person-job fit variables, we added the variables as time-dependant variables to the unconditional latent class model. The effect of education level fit and skill level fit were found significant in the groups which are low in job satisfaction and have high in turnover intention. Findings from this study suggest the need to consider trajectory heterogeneity in the study of youth employees' job satisfaction and turnover intention to capture the dynamic dimension of overlap between the two constructs.

• 한국노년학
• /
• v.41 no.4
• /
• pp.567-586
• /
• 2021

This study explored what latent classes appear according to the combination of Belief in a Just World (BJW) and social class of middle-aged adults, and examined whether there are differences in career transiton, perceiving a calling, and working as meaning in each class and what characteristics they have. 224 middle-aged people who experienced turnover through online and offline were surveyed and analyzed by Latent Profile Analysis. The participants were divided into 5 latent classes such as; 'Relative self-satisfaction', 'Social contentment', 'Relative deprived', 'Fairness trust' and 'Fairness distrust'. According to the results of MANOVA analysis to figure out if there are differences in career transitions, perceiving a calling, and working as meaning depending on latent classes, significant differences were appeared among latent classes. Finally, multinominal logistic regression analysis was conducted to examine whether demographic characteristics and 'decent work' affect the latent group classification. As a result, the more 'decent work', the higher the probability of belonging to the class with high BJW and social class. On the basis of the results of this study, the implications on the case conceptualization and counseling strategy for adults focusing on BJW and Social class in adults and future research were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.11
• /
• pp.375-384
• /
• 2020

This study examined the trajectories of the marital satisfaction of parents to classify its latent classes and how marital satisfaction influences the behavioral problems of their children between the identified latent classes. The 1st to 8th and 10th data from the Korea Child-Adolescent Panel Survey were analyzed using the latent class growth analysis and BCH method. First, based on the mother's trajectory of marital satisfaction, five latent classes were identified: 'low constant', 'intermediate constant', 'temporary increment-constantly decrement', 'high constant, and 'highest constant'. At the same time, based on the father's trajectory of marital satisfaction, four latent classes were identified: 'increment', 'intermediate-slightly decrement', 'high-slightly decrement', and 'highest constant'. Second, mothers with low marital satisfaction had more children with behavioral problems, and their influence had more problems with internalized behavioral problems. These problems progressed to externalized behavioral problems as they grew. Both internalized and externalized behavioral problems were also found between the identified latent classes of the father's marital satisfaction. Children of fathers with low marital satisfaction showed more behavioral problems. These findings suggest that the marital satisfaction of parents is an important variable that can influence the behavioral problems of their children.

• Journal of Korean Academy of Nursing
• /
• v.49 no.1
• /
• pp.104-112
• /
• 2019

Purpose: This study aimed to identify types of quality of life (QoL) based on the 5 dimensions of EQ-5D and predict factors affecting types of QoL. Methods: This study was a secondary analysis using data from the Korean Health Panel Survey-II(2012). Participants were 2,071 middle-aged men who had completed the additional survey in 2012 and the data were analyzed using SPSS 20.0 and Mplus 5.21 for latent analysis. Results: Three latent classes of QoL were identified: serious (2.4% of the sample), threatened (15.5%), and stable types (82.0%). The types and characteristics of QoL among the latent classes differed. On comparing latent type 1 with latent type 2, the socioeconomic status (p<.05), employment status (p<.05), and subjective health status (p<.001) were found to be significant. On comparing latent type 1 with latent type 3, the socioeconomic status (p<.05), current smoking status (p<.001), and subjective health status (p<.001) were found to be significant. On comparing latent type 2 with latent type 3, the socioeconomic status (p<.05), subjective health status (p<.001), stress (p<.001) were found to be significant. Conclusion: The results showed significant heterogeneity in types of QoL and the predictors of QoL by types were different. These findings provide basic information for developing nursing interventions to improve QoL. Specific characteristics depending on the subtypes should be considered during the development of interventions.

• Journal of Korean Academy of Nursing
• /
• v.49 no.6
• /
• pp.701-712
• /
• 2019

Purpose: Despite the high drinking rates and the complexity of drinking behaviors in adolescents, insufficient attention has been paid to their drinking patterns. Therefore, we aimed to identify patterns of adolescent drinking behaviors and factors predicting the distinct subgroups of adolescent drinking behaviors. Methods: We analyzed nationally representative secondary data obtained in 2017. Our final sample included 24,417 Korean adolescents who had consumed at least one glass of alcohol in their lifetime. To investigate patterns of drinking behaviors, we conducted a latent class analysis using nine alcohol-related characteristics, including alcohol consumption levels, solitary drinking, timing of drinking initiation, and negative consequences of drinking. Furthermore, we investigated differences in demographics, mental health status, and characteristics of substance use across the latent classes identified in our study. To do so, we used the PROC LCA with COVARIATES statement in the SAS software. Results: We identified three latent classes of drinking behaviors: current non-drinkers (CND), binge drinkers (BD), and problem drinkers (PD). Compared to the CND class, both BD and PD classes were strongly associated with higher academic year, lower academic performance, higher levels of stress, suicidal ideation, lifetime conventional or electronic cigarette use, and lifetime use of other drugs. Conclusion: Health professionals should develop and implement intervention strategies targeting individual subgroups of drinking behaviors to obtain better outcomes. In particular, health professionals should consider different characteristics across subgroups of adolescent drinking behaviors when developing the interventions, such as poor mental health status and other substance use among binge and problem drinkers.

• Quality Improvement in Health Care
• /
• v.30 no.1
• /
• pp.3-14
• /
• 2024

Purpose: We conducted this study with the aim of characterizing safety attitudes (SA) among medical staff in a disadvantaged area of Vietnam and examining associated factors with SA. Methods: A cross-sectional survey was conducted on 442 health staff members at four hospitals in Son La Province from June until August 2021. We used the Vietnamese shortened edition of the Safety Attitudes Questionnaire to measure the SA of study participations. We chose latent class analysis (LCA) to identifying the number of latent classes of SA among the study subjects. Multinomial logistic regression was used to examine factors associated with the identified SA classes. Results: The results of our LCA showed that there were three latent classes, namely high SA group (n=150, 33.9%), moderate SA group (n=236, 53.4%), and low SA group (n=56, 12.7%). The multinomial logistic regression analysis found that medical staff who had university education and above, who were nurses, and who served in non-clinical areas were more likely to be in the moderate SA group and in the high SA group than in the low SA group. Conclusion: Based on these results, several recommendations could be made to improve the SA of healthcare workers in disadvantaged areas. Further research with larger sample sizes and more diverse populations is needed to confirm these findings and to develop effective interventions to improve the SA of healthcare workers in disadvantaged areas.

• Communications for Statistical Applications and Methods
• /
• v.27 no.2
• /
• pp.241-254
• /
• 2020

This study proposes generalized models of joint latent class analysis (JLCA) for longitudinal data in two approaches, a JLCA with latent profile (JLCPA) and a JLCA with latent transition (JLTA). Our models reflect cross-sectional as well as longitudinal dependence among multiple latent classes and track multiple class-sequences over time. For the identifiability and meaningful inference, EM algorithm produces maximum-likelihood estimates under local independence assumptions. As an empirical analysis, we apply our models to track the joint patterns of adolescent depression and anxiety among US adolescents and show that both JLCPA and JLTA identify three adolescent emotional well-being subgroups. In addition, JLCPA classifies two representative profiles for these emotional well-being subgroups across time, and these profiles have different tendencies according to the parent-adolescent-relationship subgroups.

• Korean Journal of Child Studies
• /
• v.36 no.5
• /
• pp.115-134
• /
• 2015

The main purpose of this study is to explore the relationship between latent classes of childhood maltreatment and depression anxiety and aggression from childhood to adolescence. 1,785 participants in a sample form Seoul Panel Study of Children were used in this study. Using latent class analysis, three classes of child maltreatment were identified: 'low maltreatment'(89.2%), 'physical+emotional abuse+neglect'(1.9%), 'physical+emotional abuse'(8.9%). Three developmental trajectories of depression anxiety were classified: 'low depression anxiety'(72.3%), 'moderate depression anxiety'(23.3%), 'high depression anxiety'(4.4%). Two developmental trajectories of aggression were revealed: 'low aggression'(89.3%), 'high aggression'(10.7%). As estimated by latent transition probability, the multiple maltreatment classes were more likely to have higher levels of depression anxiety or aggression than the no maltreatment class. There appeared to be distinct profiles of maltreatment among adolescents that had differential associations to measures of internal and external problems. The implications for both practice and policy implications are also discussed.