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Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation
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Baseline Participant Characteristics are Associated With Engagement in a Movement-Based RCT for Chronic Low-Back

Camille L Garnsey1, Katherine E Gnall1, Mariel Emrich1

  • 1Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA.

American Journal of Health Promotion : AJHP
|January 17, 2025
PubMed
Summary

Older age, higher education, and better emotional well-being predicted greater engagement in online chronic low back pain (CLBP) interventions. Reducing emotion regulation difficulties and cannabis use problems also improved adherence.

Keywords:
RCTsadherencechronic low back painengagementmovement-based interventions

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Area of Science:

  • Rehabilitation Medicine
  • Digital Health
  • Chronic Pain Management

Background:

  • Patient engagement is crucial for the success of movement-based randomized controlled trials (RCTs) for chronic low back pain (CLBP).
  • Understanding predictors of engagement can optimize intervention design and improve research validity.

Purpose of the Study:

  • To identify baseline participant characteristics that predict engagement in an online movement-based RCT for CLBP.
  • To inform strategies for enhancing adherence in digital health interventions for chronic pain.

Main Methods:

  • A longitudinal study within an RCT involving 138 individuals with CLBP.
  • Baseline sociodemographic, psychosocial, and pain factors were assessed via questionnaires.
  • Engagement was measured as combined minutes of synchronous online classes and daily home video completion.

Main Results:

  • Greater engagement was associated with higher baseline age, educational attainment, energy, and emotional well-being.
  • Lower emotion regulation difficulties, cannabis use problems, and pain interference also predicted higher engagement.
  • Education and cannabis use problems were significant predictors in sociodemographic and psychosocial models, respectively.

Conclusions:

  • Baseline factors like age, education, and psychosocial well-being influence engagement in online CLBP interventions.
  • Targeting these factors may enhance adherence and improve outcomes in digital health research for chronic pain.
  • Future research should address diversity and examine engagement fluctuations over time.