Fibromyalgia Pain Scores and Clinical Factors Over Two Months

86 women with fibromyalgia were followed for 2 months, assessing bodily pain via SF-36 surveys. Dyslipidemia was consistently associated with lower pain scores across statistical models. The dataset, authored by David Castro Corredor and updated in 2026, contains results from a retrospective observational study on paraprobiotic supplementation.

Use Cases

• Analyze short-term pain trajectory changes based on SF-36 bodily pain scores collected at three time points.
• Model associations between baseline clinical factors (like dyslipidemia and smoking) and pain outcomes.
• Compare statistical modeling approaches (GEE, linear mixed-effects, ANCOVA) on a real-world clinical cohort.
• Explore the relationship between metabolic factors and fibromyalgia symptom improvement mentioned in the study.

Strengths

• Includes longitudinal data with SF-36 bodily pain assessments at baseline, 1 month, and 2 months.
• Analysis adjusted for multiple baseline variables: age, years since diagnosis, BMI, smoking status, hypertension, and dyslipidemia.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Observational design and absence of a control group limit causal inference, as noted in the study conclusion.

Provenance

Source

figshare

Collection Method

Retrospective observational study of a real-world cohort.

Time Range

Study follow-up period of 2 months.

Freshness

Last updated 2026-04-24 04:23:24; freshness should be verified.