Subgrouping a Large U.S. Sample of Patients with Fibromyalgia Using the Fibromyalgia Impact Questionnaire-Revised
Bibliographic Data
| ID | 15511444 |
|---|---|
| Authors | Adrián Pérez‐Aranda (0000-0002-1602-3413, Universitat Autonòma de Barcelona, corresponding author), Albert Feliu‐Soler (0000-0003-2810-7670, Universitat Autonòma de Barcelona, corresponding author), Scott Mist (0000-0001-7992-5345, Oregon Health & Science University), Kim Dupree Jones (0000-0001-6384-8613, Oregon Health & Science University), Yolanda López del Hoyo (0000-0002-1690-4130, Universidad de Zaragoza), Rebeca Oliván-Arévalo (Parc Sanitari Sant Joan de Déu), Anna L Kratz (0000-0002-3664-3898, University of Michigan), Anna Kratz (University of Michigan), David A Williams (0000-0002-5052-4895, University of Michigan), Juan V Luciano (0000-0003-0750-1599, Sant Joan de Déu Research Foundation, corresponding author) |
| Year | 2020 |
| Volume | 18 |
| Issue | 1 |
| Pages | 247-247 |
| Publication date | 2020-12-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18010247 |
| PMID | 33396279 |
| OpenAlex | W3117835933 |
| Language | EN |
| Citations received | 1 |
| References cited | 43 |
Fibromyalgia (FM) is a heterogeneous and complex syndrome; different studies have tried to describe subgroups of FM patients, and a 4-cluster classification based on the Fibromyalgia Impact Questionnaire-Revised (FIQR) has been recently validated. This study aims to cross-validate this classification in a large US sample of FM patients. A pooled sample of 6280 patients was used. First, we computed a hierarchical cluster analysis (HCA) using FIQR scores at item level. Then, a latent profile analysis (LPA) served to confirm the accuracy of the taxonomy. Additionally, a cluster calculator was developed to estimate the predicted subgroup using an ordinal regression analysis. Self-reported clinical measures were used to examine the external validity of the subgroups in part of the sample. The HCA yielded a 4-subgroup distribution, which was confirmed by the LPA. Each cluster represented a different level of severity: "Mild-moderate", "moderate", "moderate-severe", and "severe". Significant differences between clusters were observed in most of the clinical measures (e.g., fatigue, sleep problems, anxiety). Interestingly, lower levels of education were associated with higher FM severity. This study corroborates a 4-cluster distribution based on FIQR scores to classify US adults with FM. The classification may have relevant clinical implications for diagnosis and treatment response
Anxiety · Cluster (spacecraft · Fibromyalgia · Physical therapy · Psychiatry · Clinical Psychology · Computer Science · Ergonomics and Musculoskeletal Disorders · Fibromyalgia and Chronic Fatigue Syndrome Research · Medicine · Musculoskeletal pain and rehabilitation · Psychology
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| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |