Identifying and characterizing clinical subgroups in individuals with endometriosis
Sophia Åkerblom1,2, Ingrid Peppler Jönsson1, Åsa Ringqvist1,3
1Department of Pain Rehabilitation, Skåne University Hospital, Lund, Sweden.
Frontiers in Pain Research (Lausanne, Switzerland)
|December 29, 2025
Summary
Endometriosis symptoms are best understood using a biopsychosocial model. This study identified distinct patient subgroups, revealing that those with a high biopsychosocial burden experience greater challenges.
Area of Science:
- Reproductive medicine
- Psychology
- Sociology
Background:
- Endometriosis classification and treatment have historically focused on biomedical aspects.
- Patient symptom profiles are complex and multidimensional.
- A biopsychosocial model may offer a more comprehensive understanding of endometriosis.
Purpose of the Study:
- To identify distinct patient subgroups based on biopsychosocial profiles using Latent Class Analysis.
- To compare sociodemographic characteristics and functioning across identified subgroups.
Main Methods:
- Latent Class Analysis was employed to identify subgroups.
- Subgroups were analyzed based on biopsychosocial indicators.
- Sociodemographic data and functioning indices were compared between groups.
Main Results:
- Two distinct subgroups emerged: a low biopsychosocial burden (BPS) group and a high BPS group.
- The high BPS group exhibited significant psychological distress and severe pain.
- Individuals in the high BPS group reported lower perceived control and reduced social support.
Conclusions:
- Integrating the biopsychosocial model into clinical assessments for endometriosis is recommended.
- This approach can identify patients needing multidisciplinary interventions.
- Biopsychosocial insights can complement existing biological treatments for endometriosis.
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