Mediators of Treatment Effect in the Back In Action Trial: Using Latent Growth Modeling to Take Change Over Time Into Account

Gemma Mansell, Jonathan C. Hill, Chris J. Main, Michael Von Korff, Daniëlle Van Der Windt

Research output: Contribution to journalArticlepeer-review


Objectives: To test whether change in fear-avoidance beliefs was a mediator of the effect of treatment on disability outcome, and to test an analytical approach, latent growth modeling, not often applied to mediation analysis.

Methods: Secondary analysis was carried out on a randomized controlled trial designed to compare an intervention addressing fear-avoidance beliefs (n=119) with treatment as usual (n=121) for patients with low back pain, which found the intervention to be effective. Latent growth modelling was used to perform a mediation analysis on the trial data to assess the role of change in fear-avoidance beliefs on disability outcome. The product of coefficients with bias-corrected bootstrapped confidence intervals was used to calculate the mediating effect.

Results: A statistically significant mediating effect of fear-avoidance beliefs on the effect of treatment on disability outcome was found (standardized indirect effect −0.35; bias-corrected 95% CI, −0.47 to −0.24). Poor fit of the model to the data suggested that other factors not accounted for in this model are likely to be part of the same mediating pathway.

Discussion: Fear-avoidance beliefs were found to mediate the effect of treatment on disability outcome. Measurement of all potential mediator variables in future studies would help to more strongly identify which factors explain observed treatment effects. Latent growth modelling was found to be a useful technique to apply to studies of treatment mediation, suggesting that future studies could use this approach.
Original languageEnglish
Pages (from-to)811-819
JournalClinical Journal of Pain
Issue number9
Publication statusPublished - 1 Sept 2017

Bibliographical note

© 2017 The Author(s). Published by Wolters Kluwer
Health, Inc. This is an open-access article distributed under the
terms of the Creative Commons Attribution-Non Commercial-No
Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to
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