Biobehavioral phenotypes of chronic low back pain: Psychosocial subgroup identification using latent profile analysis - Summary - MDSpire

Biobehavioral phenotypes of chronic low back pain: Psychosocial subgroup identification using latent profile analysis

  • By

  • Fatemeh Gholi Zadeh Kharrat

  • Prakruthi Amar Kumar

  • Wolf Mehling

  • Irina Strigo

  • Jeffrey Lotz

  • Thomas A Peterson

  • REACH Investigators

  • Jamie Ahn

  • Kristina Benirschke

  • Alexandra Bryson

  • Katherine Bunda

  • Briana Davis

  • Carolina Dorofeyev

  • Rosalee Espiritu

  • Pirooz Fereydouni

  • Aamna Haq

  • Nicholas Harris

  • Sara Honardoost

  • Gabriel Johnson

  • Jennifer Johnson

  • Edward Lingayo

  • Robert Miller

  • Phirum Nguyen

  • Christopher Orozco

  • Lindsay Ruiz-Graham

  • Kie Shidara

  • Kaitlyn Smith

  • John (Boyuan) Xiao

  • Michelle Yang

  • July 25, 2025

  • 0 min

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Objective:

To identify distinct biobehavioral phenotypes among patients with chronic low back pain (cLBP) using Latent Profile Analysis (LPA) to enhance treatment strategies.

Key Findings:
  • Identified four classes: Class 1 (High Distress and Maladaptive Behaviors), Class 2 (Resilient and Adaptive Coping), Class 3 (Intermediate Maladaptive Patterns), Class 4 (Emotionally Regulated with High Pain Burden).
  • Significant differences (P < .05) between classes in pain self-efficacy, fear avoidance, emotional awareness, and changes in pain severity and health-related quality of life over time (P ≤ .001).
Interpretation:

The findings highlight the heterogeneity of cLBP and suggest that tailored treatments targeting these distinct subgroups could improve clinical outcomes.

Limitations:
  • The study may be limited by the specific populations sampled, potentially affecting the generalizability of the findings to broader cLBP populations.
  • Potential biases in self-reported data and the cross-sectional nature of the analysis may impact the reliability of the results.
Conclusion:

This study advances understanding of cLBP by providing a framework for identifying patient subgroups based on biobehavioral characteristics, supporting the need for personalized treatment approaches and future research directions.

Original Source(s)

Biobehavioral phenotypes of chronic low back pain: Psychosocial subgroup identification using latent profile analysis

  • by Fatemeh Gholi Zadeh Kharrat, Prakruthi Amar Kumar, Wolf Mehling, Irina Strigo, Jeffrey Lotz, Thomas A Peterson, REACH Investigators, Jamie Ahn, Kristina Benirschke, Alexandra Bryson, Katherine Bunda, Briana Davis, Carolina Dorofeyev, Rosalee Espiritu, Pirooz Fereydouni, Aamna Haq, Nicholas Harris, Sara Honardoost, Gabriel Johnson, Jennifer Johnson, Edward Lingayo, Robert Miller, Phirum Nguyen, Christopher Orozco, Lindsay Ruiz-Graham, Kie Shidara, Kaitlyn Smith, John (Boyuan) Xiao, Michelle Yang

  • July 25, 2025

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