Investigating multimorbidity patterns and associated risk factors in the fasa adults cohort study (FACS): A latent class analysis
Using LCA, we identified distinct subgroups of chronic diseases, showing hidden patterns of multimorbidity associated with several risk factors. This approach offers deeper knowledge of disease clustering, contributes to a more comprehensive understanding of multimorbidity, and shows the importance of regional health challenges in designing targeted public health interventions.
Authors
- Omid Keshavarzian (ORCID: https://orcid.org/0009-0008-0055-6988)
- Mohamed‐Salah Annabi (ORCID: https://orcid.org/0000-0003-2835-9472)
- Mohammad Ali Mohsenpour (ORCID: https://orcid.org/0000-0001-6885-1993)
- Najibullah Baeradeh
- Pezhman Bagheri (ORCID: https://orcid.org/0000-0003-0920-5734)
- Mehdi Sharafi (ORCID: https://orcid.org/0000-0002-6505-9463)
- Mojtaba Farjam (ORCID: https://orcid.org/0000-0003-4826-2846)
- Sima Afrashteh (ORCID: https://orcid.org/0000-0002-4276-2084)
- Fatemeh Nekouei
Institutions
- Shiraz University of Medical Sciences (IR)
- Gerash University of Medical Sciences (IR)
- Fasa University of Medical Sciences (IR)
- Bushehr University of Medical Sciences (IR)
- Birjand University of Medical Sciences (IR)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1371/journal.pone.0335177
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fasa University of Medical Sciences