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Evidence supports a bidirectional relationship between characteristics of sleep and
pain, however prospective and microlongitudinal studies suggest that sleep has a stronger
effect on pain rather than vice versa. To develop an understanding of how changes
in aspects of sleep may influence pain intensity, studies which support causal inference
are required. Results from such studies may provide evidence to inform the design
and evaluation of hybrid interventions for pain patients that include a sleep improvement
intervention. Mediation analysis is a statistical approach that enables the effect
of an exposure on outcome through an intermediary variable to be assessed and quantified.
Since its inception this type of analysis has been applied to a range of healthcare-related
questions. Over time, methods of mediation analysis have evolved to support stronger
arguments for causality, and criteria have been developed to enable the assessment
of the quality of studies applying the approach. While studies of mediation applied
to the sleep-pain relationship have been undertaken, to date synthesis of the evidence
and an appraisal of the application of the methodologies used has yet to be published.
The aim of this systematic review was, therefore, to identify studies that have investigated
mechanisms underpinning the sleep-pain relationship, summarise their findings, and
appraise their methodologies. Our search yielded nine papers, eight of which investigated
the sleep-to-pain relationship (11 models), and two of which investigated the pain-to-sleep
relationship (two models). Identified mediators included affect and mood, symptoms
of depression and anxiety, attention to pain, pain helplessness, fatigue, and cortisol
reactivity. However, methodological limitations were common across studies and causal
inference relatively weak. We therefore use the current evidence base to suggest recommendations
for the conduct of studies of mediation in the sleep and pain field moving forward.
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© 2019 Published by Elsevier Inc.