ORIGINAL RESEARCH article
Front. Pain Res.
Sec. Non-Pharmacological Treatment of Pain
This article is part of the Research TopicNon-biomedical Perspectives on Pain and its Prevention and Management – Volume IIView all 9 articles
Identifying and characterizing clinical subgroups in individuals with endometriosis
Provisionally accepted
- 1Lund University, Lund, Sweden
- 2Skåne University Hospital, Lund, Sweden
- 3University of Klagenfurt, Klagenfurt, Carinthia, Austria
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Background Classification attempts and treatment strategies for endometriosis have been predominantly biomedical. Symptom profiles observed in individuals with endometriosis are multidimensional and may be more effectively captured by a biopsychosocial model. Methods The aim of this study was to identify distinct subgroups of individuals with endometriosis based on their biopsychosocial profiles, using Latent Class Analysis. In a subsequent phase, the identified subgroups were compared in terms of sociodemographic characteristics and various indices of functioning. Results Two distinct subgroups were identified: Class 2, representing a high biopsychosocial burden (BPS) group characterized by both significant psychological strain and severe pain characteristics, and Class 1, representing a low BPS group with low scores on these indicators. The high BPS group reported worse control/powerlessness and diminished social support. Conclusion Moving forward, clinical assessment of patients with endometriosis may benefit from integrating core principles from the biopsychosocial model. This approach can help identify individuals facing significant psychosocial challenges who may require multidisciplinary interventions alongside evidence-based biological treatments.
Keywords: Endometriosis, biopsychosocial model, pain intensity, pain extent, Pain catastrophizing, Depression, Anxiety
Received: 11 Apr 2025; Accepted: 17 Nov 2025.
Copyright: © 2025 Åkerblom, Peppler Jönsson, Ringqvist, Nordengren and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Sophia Åkerblom, sophia.akerblom@med.lu.se
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.