Dietary risk factors for non-communicable diseases among Omani adults by latent class analysis and structural equation modelling.

ABSTRACT:

Background

Risk factor surveillance is vital for public health interventions in non-communicable diseases (NCD) control due to a noticeable nutrition transition among the population affecting dietary patterns. The objective was to investigate the dietary risk factors and its associations based on a first-of-its-kind analysis employing both Latent Class Analysis (LCA) and Structural equation modelling (SEM) to explore the hidden heterogeneity and subgroups with shared dietary pattern and to demonstrate the complex interaction of dietary factors with other risk factors in the development of NCDs.

Methods

A cross-sectional survey was used. Secondary analysis of the 2017 Oman NCD Risk Factors Survey data was performed to investigate three major dietary risk factors (fruits and v

SUBMITTER: Al-Mawali A 

PROVIDER: S-EPMC12020193 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature