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运用潜在类别分析美国青少年中不同少数族裔和多数族裔的风险行为。

Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classes.

作者信息

Aslam Zeeshan, Asim Muhammad, Javaid Iqra, Rasheed Faisal, Akhter Muhammad Naveed

机构信息

Nishtar Institute of Dentistry (NID), Multan, Pakistan.

Nishtar Medical University, Multan, Pakistan.

出版信息

Front Behav Neurosci. 2023 Feb 14;17:1089434. doi: 10.3389/fnbeh.2023.1089434. eCollection 2023.

DOI:10.3389/fnbeh.2023.1089434
PMID:36865773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9971590/
Abstract

: This study is to ascertain any inconsistencies in the trend of co-occurrence by sex of teenage health risk behavior patterns such as smoking, behaviors contributing to deliberate and unintentional injuries, risky sexual behavior, and sedentary lifestyle. : The study's purpose was accomplished using Youth Risk Behavior Surveillance System (YRBSS) 2013 data. A Latent Class Analysis (LCA) was conducted for the entire sample of teenagers as well as separately for each sex. : In this subset of youths, marijuana use was acknowledged by more than half of them, and smoking cigarettes was far more likely. More than half of the individuals in this subset engaged in risky sexual practices, like not using a condom during their most recent encounter. Males were split into three categories based on their involvement in risky behavior, while females were split into four subgroups. : Regardless of gender, various risk behaviors among teenagers are connected. However, gender variations in the higher risk of particular trends, such as mood disorders and depression among females, underline the significance of creating treatments that take adolescent demographics into account.

摘要

本研究旨在确定青少年健康风险行为模式(如吸烟、导致故意伤害和非故意伤害的行为、危险性行为以及久坐不动的生活方式)按性别划分的共现趋势中是否存在任何不一致之处。本研究的目的是通过使用2013年青少年风险行为监测系统(YRBSS)数据来实现的。对青少年的整个样本以及按性别分别进行了潜在类别分析(LCA)。在这个青少年子集中,超过一半的人承认使用过大麻,而且吸烟的可能性要大得多。这个子集中超过一半的人有危险性行为,比如在最近一次性行为中未使用避孕套。男性根据其参与危险行为的情况分为三类,而女性分为四个亚组。无论性别如何,青少年中的各种风险行为都是相互关联的。然而,特定趋势(如女性中的情绪障碍和抑郁症)较高风险中的性别差异突显了制定考虑青少年人口统计学特征的治疗方法的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48c2/9971590/d185d85ce93c/fnbeh-17-1089434-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48c2/9971590/ad01e89eb683/fnbeh-17-1089434-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48c2/9971590/52418b08d529/fnbeh-17-1089434-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48c2/9971590/d185d85ce93c/fnbeh-17-1089434-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48c2/9971590/ad01e89eb683/fnbeh-17-1089434-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48c2/9971590/52418b08d529/fnbeh-17-1089434-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48c2/9971590/d185d85ce93c/fnbeh-17-1089434-g0003.jpg

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