Suppr超能文献

韩国青少年致肥胖行为的潜在类别分析:与体重相关结局的关联。

Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes.

机构信息

College of Nursing, Research Institute of Nursing Science, Daegu Catholic University, Daegu 42472, Korea.

College of Nursing Science, Kyung Hee University, Seoul 02447, Korea.

出版信息

Int J Environ Res Public Health. 2021 Oct 21;18(21):11059. doi: 10.3390/ijerph182111059.

Abstract

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 ( = 29,841) and girls ( = 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.

摘要

本研究旨在探索青少年肥胖相关行为(OBs)的性别特异性潜在类别模型、潜在类别成员预测因素(LCM),以及 LCM 与体重相关结果(即体重状况和不健康的体重控制行为)之间的关联。我们分析了来自 2019 年韩国青少年风险行为调查的全国代表性数据。为了确定男孩(n=29841)和女孩(n=27462)的潜在类别,我们使用八项 OBs(如不吃早餐、身体活动和使用烟草制品)进行了多组潜在类别分析。此外,我们进行了多项逻辑回归分析和三步法,以检验 LCM 与预测因素和体重相关结果之间的关联。在男女两性中,3 类模型最适合数据:(a)大多数健康行为类,(b)不良饮食习惯和高互联网使用类,以及(c)不良饮食习惯和物质使用类。学年、居住区域、学业成绩和心理状况预测了两性的 LCM。此外,感知经济状况预测了女孩的 LCM。体重相关结果在性别特异性类别中分布不同。我们的研究结果强调了根据青少年 OBs 的每个同质模式制定肥胖预防和治疗干预措施的重要性,同时要考虑到它们与预测因素和体重相关结果的关联存在差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddac/8583616/aaf82ff01997/ijerph-18-11059-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验