Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes
This study aimed to explore sex-specific latent class models of adolescent obesogenic behaviors (OBs), predictors of latent class membership (LCM), and associations between LCM and weight-related outcomes (i.e., weight status and unhealthy weight control behaviors). We analyzed nationally representa...
Guardado en:
Autores principales: | , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fdff76a5fed64d6581853502186b010f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:fdff76a5fed64d6581853502186b010f |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:fdff76a5fed64d6581853502186b010f2021-11-11T16:12:32ZLatent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes10.3390/ijerph1821110591660-46011661-7827https://doaj.org/article/fdff76a5fed64d6581853502186b010f2021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11059https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601This study aimed to explore sex-specific latent class models of adolescent obesogenic behaviors (OBs), predictors of latent class membership (LCM), and associations between LCM and weight-related outcomes (i.e., weight status and unhealthy weight control behaviors). We analyzed nationally representative data from the 2019 Korea Youth Risk Behavior Survey. To identify latent classes for boys (<i>n</i> = 29,841) and girls (<i>n</i> = 27,462), we conducted a multiple-group latent class analysis using eight OBs (e.g., breakfast skipping, physical activity, and tobacco product use). Moreover, we performed a multinomial logistic regression analysis and a three-step method to examine associations of LCM with predictors and weight-related outcomes. Among both sexes, the 3-class models best fit the data: (a) mostly healthy behavior class, (b) poor dietary habits and high Internet use class, and (c) poor dietary habits and substance use class. School year, residential area, academic performance, and psychological status predicted the LCM for both sexes. In addition, perceived economic status predicted the LCM for girls. The distribution of weight-related outcomes differed across sex-specific classes. Our findings highlight the importance of developing obesity prevention and treatment interventions tailored to each homogeneous pattern of adolescent OBs, considering differences in their associations with predictors and weight-related outcomes.Haein LeeIn-Seo LaMDPI AGarticleadolescentobesogenic behaviorsobesityunhealthy weight control behaviorslatent class analysisMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11059, p 11059 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
adolescent obesogenic behaviors obesity unhealthy weight control behaviors latent class analysis Medicine R |
spellingShingle |
adolescent obesogenic behaviors obesity unhealthy weight control behaviors latent class analysis Medicine R Haein Lee In-Seo La Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes |
description |
This study aimed to explore sex-specific latent class models of adolescent obesogenic behaviors (OBs), predictors of latent class membership (LCM), and associations between LCM and weight-related outcomes (i.e., weight status and unhealthy weight control behaviors). We analyzed nationally representative data from the 2019 Korea Youth Risk Behavior Survey. To identify latent classes for boys (<i>n</i> = 29,841) and girls (<i>n</i> = 27,462), we conducted a multiple-group latent class analysis using eight OBs (e.g., breakfast skipping, physical activity, and tobacco product use). Moreover, we performed a multinomial logistic regression analysis and a three-step method to examine associations of LCM with predictors and weight-related outcomes. Among both sexes, the 3-class models best fit the data: (a) mostly healthy behavior class, (b) poor dietary habits and high Internet use class, and (c) poor dietary habits and substance use class. School year, residential area, academic performance, and psychological status predicted the LCM for both sexes. In addition, perceived economic status predicted the LCM for girls. The distribution of weight-related outcomes differed across sex-specific classes. Our findings highlight the importance of developing obesity prevention and treatment interventions tailored to each homogeneous pattern of adolescent OBs, considering differences in their associations with predictors and weight-related outcomes. |
format |
article |
author |
Haein Lee In-Seo La |
author_facet |
Haein Lee In-Seo La |
author_sort |
Haein Lee |
title |
Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes |
title_short |
Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes |
title_full |
Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes |
title_fullStr |
Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes |
title_full_unstemmed |
Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes |
title_sort |
latent class analysis of obesogenic behaviors among korean adolescents: associations with weight-related outcomes |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/fdff76a5fed64d6581853502186b010f |
work_keys_str_mv |
AT haeinlee latentclassanalysisofobesogenicbehaviorsamongkoreanadolescentsassociationswithweightrelatedoutcomes AT inseola latentclassanalysisofobesogenicbehaviorsamongkoreanadolescentsassociationswithweightrelatedoutcomes |
_version_ |
1718432393613803520 |