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The prevalence and characteristics of fibromyalgia in the general population: FIBROMYALGIA PREVALENCE AND CHARACTERISTICS
Abstract
OBJECTIVE: To determine the prevalence and characteristics of fibromyalgia in the general population. METHODS: A random sample of 3,006 persons in Wichita, KS, were characterized according to the presence of no pain, non-widespread pain, and widespread pain. A subsample of 391 persons, including 193 with widespread pain, were examined and interviewed in detail. RESULTS: The prevalence of fibromyalgia was 2.0% (95% confidence interval [95% CI] 1.4, 2.7) for both sexes, 3.4% (95% CI 2.3, 4.6) for women, and 0.5% (95% CI 0.0, 1.0) for men. The prevalence of the syndrome increased with age, with highest values attained between 60 and 79 years (> 7.0% in women). Demographic, psychological, dolorimetry, and symptom factors were associated with fibromyalgia. CONCLUSION: Fibromyalgia is common in the population, and occurs often in older persons. Characteristic features of fibromyalgia--pain threshold and symptoms--are similar in community and clinic populations, but overall severity, pain, and functional disability are more severe in the clinic population.
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“With an estimated lifetime prevalence of approximately 2% in community samples [3], it accounts for 15% of outpatient rheumatology visits and 5% of primary care visits [4].”
Background
Metadata
- Authors
- Wolfe, F., Ross, K., Anderson, J., Russell, I. J., & Hebert, L.
- Venue
- Arthritis & Rheumatism
- Publisher
- Wiley
- Published
- 1995-01
- Volume
- 38
- Issue
- 1
- Pages
- 19-28
- ISSN
- 0004-3591 (ISSN-L)
- OpenAlex
- W2041481324
- Cited by
- 2,416
- References
- 3
- FWCI
- 31.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
