Spatial Analysis of patterns of Multimorbidity in the Thai Cohort Study Using Latent Class Analysis
Multimorbidity patterns were related to sociodemographic factors and lifestyles, and geographic characteristics. Future research should focus on classifying and comparing multimorbidity among different populations such as different age groups and genders in various locations. This would help in formulating targeted health policies and interventions to reduce their health burden.
Authors
- Haribondhu Sarma (ORCID: https://orcid.org/0000-0003-1553-8498)
- Adrian Sleigh (ORCID: https://orcid.org/0000-0001-8443-7864)
- Xiyu Feng (ORCID: https://orcid.org/0000-0002-0711-2211)
- Sam‐ang Seubsman (ORCID: https://orcid.org/0000-0002-7451-3218)
- Matthew James Kelly (ORCID: https://orcid.org/0000-0001-7963-2139)
Institutions
- Australian National University (AU)
- Sukhothai Thammathirat Open University (TH)
Publication Details
- Journal
- Journal of Epidemiology and Global Health
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1007/s44197-025-00352-7
- Citations
- 2
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 2.71