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Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
How insomnia classification influences prevalence estimates and clinical comparisons in chronic musculoskeletal pain:
Nils Runge1, Zosia Goossens2, Céline Labie3
1Pain in Motion Research Group (PAIN), Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education & Physiotherapy, Vrije Universiteit Brussel, Belgium; Musculoskeletal Rehabilitation Research Group, Department of Rehabilitation Sciences, Faculty of Movement and Rehabilitation Sciences, KU Leuven, Belgium; Brain, Body and Cognition (BBCO), Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel (VUB), Brussels, Belgium; Vital Signs and PERformance Monitoring (VIPER), LIFE Department, Royal Military Academy, Brussels, Belgium.
Background:
Insomnia is common in people with chronic musculoskeletal pain (CMP). However, insomnia is often operationalised in various way, impairing the comparability between studies and limiting clinical integration of findings.
Objectives:
This secondary exploratory analysis of data from a pre-registered cross-sectional survey aimed to investigate how varying insomnia classifications affect insomnia prevalence and the outcomes of comparisons of clinical parameters between insomnia and non-insomnia groups in individuals with CMP.
Methods:
Data from 1322 individuals with CMP were used for the analyses. Insomnia was classified in six different ways (Strictest classification: modified DSM-5-based classification - most inclusive classification: any nighttime symptoms). Prevalence rates were examined across the different classifications, and statistical comparisons of clinical parameters (e.g., pain-, mood-, and sleep-related measures, each assessed with a single item) between insomnia and non-insomnia groups were conducted, with standardised mean differences estimated to assess how classification choices influence effect sizes.
Results:
Stricter classifications led to substantially lower prevalence rates compared to more inclusive classifications with differences of up to 25 percentage points (53.33% vs. 78.59% for the strictest and most inclusive definitions). Statistically significant differences between insomnia and non-insomnia groups were found for all variables and classifications. However, for 25 of 27 variables, at least one disagreement in effect size category was observed between classifications, with less stringent classifications consistently yielding larger effect sizes.
Conclusions:
The results of this study highlight that clinicians and researchers should carefully consider used classification criteria when interpreting insomnia prevalence rates and related clinical outcomes in the context of CMP.
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