Finding Predictive Factors of Stabilization Exercise Adherence in Randomized Controlled Trials on Low Back Pain: An...

Area of Science:

• Rehabilitation Medicine
• Clinical Exercise Physiology
• Pain Management

Background:

• Low back pain (LBP) affects millions globally, with exercise therapy being a cornerstone of management.
• Adherence to prescribed exercise is crucial for treatment success but often suboptimal.
• Predicting adherence can enable targeted interventions to improve outcomes.

Purpose of the Study:

• To identify predictors of adherence in supervised and self-administered exercise interventions for individuals with LBP.
• To understand factors influencing adherence across different phases of rehabilitation.

Main Methods:

• A cohort study involving 1511 participants with LBP undergoing a 3-week supervised followed by a 9-week self-administered sensorimotor exercise program.
• Adherence was tracked via training logs and diaries.
• Gradient Boosting Machines and Random Forests were used to identify predictors of adherence.

Main Results:

• Overall adherence averaged 64%, with higher adherence during the supervised (81%) versus self-administered (58%) phase.
• Predictors of low to intermediate adherence included poorer baseline postural control, decreased exercise engagement, and fluctuating pain levels.
• Model prediction accuracy for dichotomized adherence ranged from 64% to 83%.

Conclusions:

• Specific predictors can help identify individuals at risk of nonadherence in LBP exercise therapy.
• Early identification allows for personalized strategies to enhance patient engagement and treatment efficacy.