Research in Community and Public Health Nursing

Original Articles

Smartphone dependency latent profile classification and association with emotional and behavioral difficulties among high school students in Korea: Eunjoo Kim, Min Kyung Song; Res Community Public Health Nurs. 2024;35(1):84-98. Published online March 29, 2024; DOI: https://doi.org/10.12799/rcphn.2024.00465

629 View
10 Download

Abstract PDF: Purpose
The pervasive integration of smartphones into adolescents’ daily lives has resulted in a concerning upsurge in smartphone dependency among high school students. Due to the diverse types and severity levels of smartphone dependency, there is a critical need for research to explore its heterogeneity. This study aimed to identify latent profile of smartphone dependency in high school students based on the four subdomains of smartphone dependency: disturbance of adaptive functions, virtual life orientation, withdrawal, and tolerance. In addition, we explored how emotional and behavioral difficulties differ according to the profiles.
Methods
We used data from 2,195 Korean high school students from the Korean Children and Youth Panel Survey 2018. Latent profile analysis (LPA) was performed to identify smartphone dependency latent profile. Statistical analysis including chi-square test, Analysis of Variance (ANOVA), and ranked Analysis of Covariance (ANCOVA) confirmed differences in smartphone use characteristics and emotional-behavioral difficulties according to the classified latent profile.
Results
LPA identified four distinct latent profiles of smartphone dependency among high school students; 1) Underdependent type, 2) Moderate type, 3) Habitual user type, and 4) Virtual space dependent type. The results of ranked ANCOVA, controlling for gender, geographical location, economic status, parental smartphone dependency, and relational variables, revealed that habitual user type exhibited significantly higher rates of attention deficit hyperactivity disorder, social withdrawal, and depressive symptoms compared to other types.
Conclusion
The identification of these profiles provides a foundation for developing tailored intervention programs for adolescents with different levels and patterns of smartphone dependency.

Validation of Types of Body Pain Areas and Related Factors in the Korean Aged Using Latent Class Analysis: Sang Ye Shin, Eun Suk Lee; Res Community Public Health Nurs. 2023;34(1):22-31. Published online March 31, 2023; DOI: https://doi.org/10.12799/rcphn.2022.00290

1,114 View
50 Download

Abstract PDF: Purpose
The purpose of this study is to find a nursing intervention plan by classifying the body pain areas of the Korean aged and analyzing related factors. Methods: This study performed the latent class analysis, cross-analysis, and one-way ANOVA using the SPSS 25, M-plus 7.0 program on 4,388 older adults aged 65 or over using the data from the 2020 Aging Research Panel. Results: As a result of the Latent Class Analysis, participants divided into four groups. Group 1 was the 'shoulder and low back pain group' with high shoulder and back pain, group 2 was the 'upper body pain group' with severe pain in the arms, wrists and fingers and chest, group 3 was the 'lower pain focused group' with high pain in the legs and knees, and finally, group 4 was the 'general low pain group' with low pain overall. The result of the study shows that the group that did not exercise regularly, the female group, and the low socioeconomic status group have more pain in general. The upper body central pain group showed a low level of life satisfaction. Conclusion: This study discusses various nursing interventions for the prevention of chronic pain, especially for the aged female group who has diverse body pain areas, the aged with low socioeconomic status, and the aged who do not exercise.

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

1,164 View
47 Download
3 Citations

Abstract PDF

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

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; : 1. CrossRef
Factors Influencing Depression in Adolescents Focusing on the Degree of Appearance Stress
Mihye Lim, Myoungjin Kwon
Nursing Reports.2023; 13(1): 518. CrossRef
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.2023;[Epub] CrossRef

Identifying Trajectories of Health-related Quality of Life in Mid-life Transition Women: Secondary Data Analysis of Korean Longitudinal Survey of Women & Families: Mi Seon Son; J Korean Acad Community Health Nurs. 2022;33(1):74-83. Published online March 31, 2022; DOI: https://doi.org/10.12799/jkachn.2022.33.1.74

961 View
30 Download
2 Citations

Abstract PDF

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^the to the 7^the 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.

Citations

Citations to this article as recorded by

The moderated mediating effect of physical activity restriction in the relationship between chronic disease, depression, and quality of life in middle age
Sumi Choi, Inwha Yoo, Sohyun An, Ahyoung Cho
Journal of Affective Disorders Reports.2024; 16: 100746. CrossRef
Influence of body image on quality of life in breast cancer patients undergoing breast reconstruction: Mediating of self‐esteem
Yunhee Jang, Mihyeon Seong, Sohyune Sok
Journal of Clinical Nursing.2023; 32(17-18): 6366. CrossRef

Trajectories of Self-rated Health among One-person Households: A Latent Class Growth Analysis: Eun Joo Kim, Hyang Kim, Ju Young Yoon; J Korean Acad Community Health Nurs. 2019;30(4):449-459. Published online December 31, 2019; DOI: https://doi.org/10.12799/jkachn.2019.30.4.449

731 View
10 Download
4 Citations

Abstract PDF

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.

Citations

Citations to this article as recorded by

Trajectories of self-rated health among community-dwelling individuals with depressive symptoms: A latent class growth analysis
Jinyoung Jang, Hyun-Sung Jung, Kyunghee Chae, Kyoung-Uk Lee
Journal of Affective Disorders.2023; 332: 83. CrossRef
Prediction model of quality of life using the decision tree model in older adult single-person households: a secondary data analysis
Dajung Ryu, Sohyune Sok
Frontiers in Public Health.2023;[Epub] CrossRef
Trajectories of subjective health status among married postmenopausal women based on the ecological system theory: a longitudinal analysis using a latent growth model
Eun Jin Kim, Ju-Hee Nho
Korean Journal of Women Health Nursing.2022; 28(2): 123. CrossRef
The Multilevel Factors on Physical Activity : A Comparative Study between Young and Elderly Single-Person Households
Ji-young Kim, Hee-Jung Jun
Journal of Korea Planning Association.2021; 56(2): 49. CrossRef

First
Prev
Page of 1
Next
Last

Search