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Meta-Analysis
. 2016 Jan;157(1):55-64.
doi: 10.1097/j.pain.0000000000000314.

A systematic review and meta-analysis of the prevalence of chronic widespread pain in the general population

Affiliations
Meta-Analysis

A systematic review and meta-analysis of the prevalence of chronic widespread pain in the general population

Kathryn E Mansfield et al. Pain. 2016 Jan.

Abstract

Chronic widespread pain (CWP) is common and associated with poor general health. There has been no attempt to derive a robust prevalence estimate of CWP or assess how this is influenced by sociodemographic factors. This study therefore aimed to determine, through a systematic review and meta-analysis, the prevalence of CWP in the adult general population and explore variation in prevalence by age, sex, geographical location, and criteria used to define CWP. MEDLINE, Embase, CINAHL, and AMED were searched using a search strategy combining key words and related database-specific subject terms to identify relevant cohort or cross-sectional studies published since 1990. Included articles were assessed for risk of bias. Prevalence figures for CWP (American College of Rheumatology criteria) were stratified according to geographical location, age, and sex. Potential sources of variation were investigated using subgroup analyses and meta-regression. Twenty-five articles met the eligibility criteria. Estimates for CWP prevalence ranged from 0% to 24%, with most estimates between 10% and 15%. The random-effects pooled prevalence was 10.6% (95% confidence intervals: 8.6-12.9). When only studies at low risk of bias were considered pooled, prevalence increased to 11.8% (95% confidence intervals: 10.3-13.3), with reduced but still high heterogeneity. Prevalence was higher in women and in those aged more than 40 years. There was some limited evidence of geographic variation and cultural differences. One in 10 adults in the general population report chronic widespread pain with possible sociocultural variation. The possibility of cultural differences in pain reporting should be considered in future research and the clinical assessment of painful conditions.

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Conflict of interest statement

Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.

Figures

Figure 1
Figure 1
Flow chart to illustrate the process by which articles were selected or rejected for inclusion in the study.
Figure 2
Figure 2
Variation in chronic widespread pain prevalence (%) population by age. Note that the horizontal axes differ between graphs depending on the information supplied in the corresponding reports.
Figure 3
Figure 3
Forest plot of prevalence (%) of American College of Rheumatology (ACR)-1990 chronic widespread pain of studies. Subgrouped by risk of bias. Random-effects analysis. (A) Low-risk studies are those at low risk of bias on both domains of Quality in Prognosis Studies (QUIPS) tool. (B) Intermediate-risk studies are those at either moderate risk of bias on both domains or moderate risk in one and low in the other. (C) High-risk studies are those at high risk of bias on either domain of the QUIPS tool. (D) Select populations: Pima Indians, Amish population, white European, and South Asian. SQ, short postal questionnaire. Studies presented with two references have results presented in both referenced papers. For convenience, in each instance only one of the papers has been named.

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