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Dataset Information

Spatial Analysis of patterns of Multimorbidity in the Thai Cohort Study Using Latent Class Analysis.


ABSTRACT:

Objective

The study aims to determine patterns of multimorbidity among common non-communicable diseases (NCDs) in Thailand.

Study design

Cross-sectional analysis.

Methods

This study obtained self-reported data from 42,785 participants of the Thai Cohort Study (TCS) via mailed questionnaires. Information was collected on eight chronic conditions. Common multimorbidity (co-occurrence of two or more chronic conditions) patterns were identified and classified using latent class analysis (LCA). Multinomial models assessed associations with demographic and lifestyle factors, testing linear trends with P for trend (p-trend). The spatial analysis was used to identify potential clusters and high-risk areas of the age-adjusted prevalence of multimorbidity at the study area.

SUBMITTER: Feng X 

PROVIDER: S-EPMC11822153 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature