Biobehavioral phenotypes of chronic low back pain: Psychosocial subgroup identification using latent profile analysis
Our findings highlight the heterogeneity of cLBP and suggest that tailored treatments targeting these distinct subgroups could improve clinical outcomes. This work advances our understanding of cLBP by providing a robust framework for identifying patient subgroups based on biobehavioral characteristics. Results underscore the value of LPA in uncovering clinically meaningful patterns in complex conditions like cLBP, paving the way for more personalized treatment approaches.
Authors
- Irina A. Strigo (ORCID: https://orcid.org/0000-0002-8799-716X)
- Thomas A. Peterson (ORCID: https://orcid.org/0000-0002-2562-6574)
- Prakruthi Amar Kumar (ORCID: https://orcid.org/0000-0001-6008-2018)
- Jeffrey C. Lotz
- Wolf Mehling (ORCID: https://orcid.org/0000-0002-0932-9844)
- Fatemeh Gholi Zadeh Kharrat
Institutions
- San Francisco VA Medical Center (US)
- University of California, San Francisco (US)
- Unity Health System (US)
- Neurological Surgery (US)
- University of San Francisco (US)
Publication Details
- Journal
- Pain Medicine
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1093/pm/pnaf095
- Citations
- 2
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 2.79
Funders
- National Institutes of Health