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2 "Latent Class Analysis"
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Research Paper
Identifying Trajectories of Behavioral Problems in Children with Allergic Diseases: Secondary Data Analysis of the 5th to 7th Panel Study of Korean Children
Son, Miseon , Ji, Eunsun
J Korean Acad Nurs 2020;50(6):822-836.   Published online December 31, 2020
DOI: https://doi.org/10.4040/jkan.20177
AbstractAbstract PDF
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.
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Original Article
Patterns of Drinking Behaviors and Predictors of Class Membership among Adolescents in the Republic of Korea: A Latent Class Analysis
Haein Lee, Sunhee Park
J Korean Acad Nurs 2019;49(6):701-712.   Published online January 17, 2019
DOI: https://doi.org/10.4040/jkan.2019.49.6.701
AbstractAbstract PDF
Abstract 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.

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