Unknown

Dataset Information

Identifying Subgroups At-Risk for Noncommunicable Diseases in Cambodia: A Latent Class Analysis of Behavioral and Metabolic Risk Factor Patterns.


ABSTRACT:

Background

Cambodia is experiencing a demographic shift likely to increase the burden of noncommunicable diseases (NCDs). Identifying patterns of risk factors among adults can contribute to efforts to effectively target and prevent these chronic diseases. This study aims to examine latent classes of population risk based on behavioral and metabolic risk factors for NCDs in Cambodia.

Methods

Data from 5275 respondents aged 18 and older from the 2023 Cambodian World Health Survey Plus were used for analysis. Latent class analysis identified distinct classes of individuals with similar behavioral and metabolic risk factors. Indicator variables included tobacco and alcohol use, fruit and vegetable diet, physical activity, body mass index, blood pressure, blood glucose, and total

SUBMITTER: Comey C 

PROVIDER: S-EPMC12518195 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature