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Dataset Information

The use of finite mixture models to examine the serum 25(OH)D levels among Saudis.


ABSTRACT:

Background

Recorded serum 25(OH)D in survey data varies with observed and unobserved respondent characteristics. The aim of this study was to expose latent population sub-groups and examine variation across groups regarding relationships between serum 25(OH)D and observable characteristics.

Methods

This study explored the role of unobserved heterogeneity on associations between surveyed 25(OH)D and various factors using a sample (n = 2,641) extracted from the Saudi Health Interview Survey (2013). Linear regression and finite mixture models (FMM) were estimated and compared. The number of latent classes in the FMM was chosen based on BIC score.

Result

Three latent classes were identified. Class I (39.82%), class II (41.03%), and class III (19.15%) with mean 25(OH)D lev

SUBMITTER: Al-Sumaih I 

PROVIDER: S-EPMC8631613 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature