Latent class and latent class regression

Schreiber, James B.

doi:10.1016/b978-0-323-91888-6.00044-2

Cited by 1 publication

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fitness was the ratio of probability, Akaike information criteria, revised Akaike information criterion, and the Bayesian information criterion. The latent class probabilities and conditional probabilities are derived using the population dispersion across latent classes, latent class characteristics, and entropy (Schreiber, 2022 ). Analyses were updated employing sample weights from the YRBSS to make the outcome relevant to high school students in the United States.…”

Section: Methodsmentioning

confidence: 99%

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

Aslam

Asim²,

Javaid³

et al. 2023

Front. Behav. Neurosci.

View full text Add to dashboard Cite

Objective: 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.Methods: 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.Results: 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.Conclusion: 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.

show abstract

Section: Methodsmentioning

confidence: 99%