Research in Community and Public Health Nursing

Original Articles

[English] Trajectories of Depressive Symptoms among Multicultural Middle and High School Adolescents: A Longitudinal Study Using Latent Class Growth Model: Sujin Lee, Soo Jin Lee, Hyanglan Kim; Res Community Public Health Nurs. 2024;35(4):401-414. Published online December 30, 2024; DOI: https://doi.org/10.12799/rcphn.2024.00696

991 View
29 Download

Abstract PDF: Purpose
This study aimed to identify latent classifications based on trajectories of change in depressive symptoms among multicultural adolescents in middle and high school and to identify factors that influence classification.
Methods
This study used six time-point data from the Multicultural Adolescents Panel Study (MAPS) conducted by the National Youth Policy Institute (NYPI). We longitudinally analyzed data from 2014 to 2019, which corresponds to the participants' middle and high school years. Latent Growth Curve Modeling (LGCM) was used to analyze the depressive developmental trajectories of multicultural youth in middle and high school. Latent Class Growth Modeling (LCGM) was used to determine the number and shape of latent classes according to the type of depression among multicultural adolescents. We applied multinomial logistics regression analysis to explore the predictors of each class.
Results
A model with three latent classes was identified: (1) low-decreasing class (intercept=13.34, slope=-0.07, 37.9%), (2) moderate-increasing class (intercept=17.76, slope=0.41, 47.6%), (3) high-increasing class (intercept=23.22, slope=0.44, 14.5%). Multinomial logistic regression showed multicultural adolescents who were male, experienced high acculturative stress and social withdrawal, and had low self-esteem, life satisfaction, and family support tended to belong to either the moderate-increasing or high-increasing class.
Conclusion
These findings suggest that preliminary assessments of gender, acculturation stress, self-esteem, life satisfaction, social withdrawal, and family support among multicultural adolescents may be valuable for developing tailored mental health programs.

[English] Latent Classes of Depressive Symptom Trajectories of Adolescents and Determinants of Classes: Eun Joo Kim; J Korean Acad Community Health Nurs. 2022;33(3):299-311. Published online September 30, 2022; DOI: https://doi.org/10.12799/jkachn.2022.33.3.299

2,846 View
77 Download
4 Citations

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.

Citations

Citations to this article as recorded by

How final year high school students’ depression develop during COVID-19 in China? A latent class growth modeling analysis
Xinyu Zhang, Guangdong Zhou
Current Psychology.2024; 43(13): 12221. CrossRef
What differentiates suicidal ideation from depressive symptoms amongst Korean young adults aged 20–39 years?
Jiwon Kang, Soong-nang Jang, Hyun-soo Kim
International Review of Psychiatry.2024; 36(4-5): 315. CrossRef
Trajectories of Depressive Symptoms among Multicultural Middle and High School Adolescents: A Longitudinal Study Using Latent Class Growth Model
Sujin Lee, Soo Jin Lee, Hyanglan Kim
Research in Community and Public Health Nursing.2024; 35: 401. CrossRef
Factors Influencing Depression in Adolescents Focusing on the Degree of Appearance Stress
Mihye Lim, Myoungjin Kwon
Nursing Reports.2023; 13(1): 518. CrossRef

[English] A Longitudinal Study on the Correlation between School-life Adjustment and Suicidal Ideation in Adolescents based on the Korean Children and Youth Panel Survey: Su Jeong Yang, Jong Eun Lee; J Korean Acad Community Health Nurs. 2020;31(1):86-95. Published online March 31, 2020; DOI: https://doi.org/10.12799/jkachn.2020.31.1.86

1,253 View
29 Download
1 Citations

Abstract PDF

Purpose
The aim of this study was to examine the correlation between school-life adjustment and suicidal ideation in adolescents by applying the latent growth curve models to the longitudinal data.
Methods
This study analyzed three waves of data from the Korean Children & Youth Panel Survey (2014~2016). A total of 1,534 students were included in the analysis. In the application of the latent growth curve models to the longitudinal survey data, we analyzed the initial status and growth changes for each wave, identified individual differences in the general characteristics, and examined the direct relationship between the two latent constructs.
Results
The analysis revealed that variations in the initial status and rate of school-life adjustment were significant with respect to parents’ education level, household income and academic satisfaction. Variations in the initial status and growth rate of suicidal ideation were significantly associated with household income and family structure. The relationship between school-life adjustment and suicidal ideation showed a negative correlation in which the starting value of the former increased and that of the latter decreased and vice versa.
Conclusion
The results confirmed that school-life adjustment and suicidal ideation varied according to students' general characteristics. In addition, school-life adjustment was negatively correlated with suicidal ideation, thereby highlighting students' ability to adjust as an important factor influencing their suicidal thinking.

Citations

Citations to this article as recorded by

Age-Dependent Relationship between Self-Esteem and Depressive Symptoms in Korean Adolescents: a Meta-Analysis of Longitudinal Studies
Sookyoung Son, Yoona Jang, Hyunjung Lee
Journal of Youth and Adolescence.2025; 54(3): 769. CrossRef

[English] The Reciprocal Causal Relationship between Social Activities and Health with Reference to the Cognitive Function Level among Community-dwelling Older Adults: A Cross-Lagged Panel Analysis: Da Eun Kim, Ju Young Yoon; J Korean Acad Community Health Nurs. 2017;28(1):13-22. Published online March 31, 2017; DOI: https://doi.org/10.12799/jkachn.2017.28.1.13

2,385 View
11 Download
4 Citations

Abstract PDF

PURPOSE
The aim of this study is to examine the reciprocal causal relationship between social activities and health with reference to the cognitive function level among community-dwelling older adults.
METHODS
We conducted a longitudinal data analysis using the 4(th) (Time 1) and 5(th) (Time 2) waves from the Korean Longitudinal Study of Ageing adopting cross-lagged panel analysis (CLPA).
RESULTS
A total of 3,473 community-dwelling older adults were included in the analysis: 2,053 in the normal cognitive function group, 912 in the mild cognitive impairment group, and 508 in the moderate to severe cognitive impairment group. The CLPA revealed that higher levels of social activities at Time 1 significantly influenced better subjective health perception at Time 2 in all three groups. In addition, better subjective health perception at Time 1 significantly influenced higher levels of social activities at time 2 only in the normal cognitive function group.
CONCLUSION
This study demonstrates that participating in social activities has positive effects on health regardless of the cognitive function level in community-dwelling older adults. This finding suggests that there is a need to develop strategies that can be used to encourage older adults with cognitive decline to maintain participation in social activities.

Citations

Citations to this article as recorded by

Study of Disease Self‐Management and Social Activity Status of Older Adults With Chronic Disease
Esra TÜRKER, Meltem MERİÇ
Psychogeriatrics.2025;[Epub] CrossRef
Exploring the Role of Social Factors in Cognitive Frailty among South Korean Older Adults
Young Ko, Kyungwon Choi
Healthcare.2024; 12(14): 1394. CrossRef
Trajectory classes of social activity and their effects on longitudinal changes in cognitive function among older adults
Da Eun Kim, Ju Young Yoon
Archives of Gerontology and Geriatrics.2022; 98: 104532. CrossRef
Continuous-time modeling in prevention research: An illustration
Martin Hecht, Manuel C. Voelkle
International Journal of Behavioral Development.2021; 45(1): 19. CrossRef

First
Prev
Page of 1
Next
Last

Search