Evidence map›Paper›PMID 42280434›Full record

ArticleNutrients2026

Post-Diagnostic Lifestyle Adaptations in Fibromyalgia: A Network and Cluster Analysis of Real-World Behavioral Patterns.

Matylda Kosiorz, Małgorzata Muc-Wierzgoń, Katarzyna Weronika Walkiewicz, Sylwia Dzięgielewska-Gęsiak

Abstract read
In one paragraph

Article in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Matylda KosiorzStudent Scientific Association at the Department of Internal Medicine and Emergency Medicine, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.
Małgorzata Muc-WierzgońDepartment of Propedeutics of Internal Medicine and Emergency Medicine, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0001-6562-7072
Katarzyna Weronika WalkiewiczDepartment of Propedeutics of Internal Medicine and Emergency Medicine, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0002-5168-4444
Sylwia Dzięgielewska-GęsiakDepartment of Propedeutics of Internal Medicine and Emergency Medicine, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0003-1019-5959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibromyalgia is a chronic pain disorder. Patients often introduce lifestyle changes, including dietary modifications and physical activity, after diagnosis to alleviate symptoms. However, real-world patterns of these post-diagnostic adaptations remain poorly understood.

methodsAn exploratory cross-sectional study was conducted in 88 patients with fibromyalgia using a study-specific questionnaire. Spearman correlation and network analysis were applied to assess relationships between lifestyle changes. K-means clustering was used to identify adaptation patterns. Differences in symptom severity were evaluated using the Kruskal-Wallis test and regression analysis.

resultsParticipants most frequently increased vegetable and water intake and reduced consumption of meat, alcohol, and sugar-sweetened beverages. Network analysis revealed structured co-occurrence patterns among dietary changes. Three clusters were identified: minimal (n = 47), selective (n = 27), and comprehensive (n = 14). No significant association was found between adaptation patterns and symptom severity (

conclusionsPatients with fibromyalgia may adopt structured, non-random lifestyle changes following diagnosis. These findings provide a data-driven perspective on real-world behavioral adaptation patterns and highlight the need for longitudinal research to better understand their potential role in disease management.

Indexed as

Adaptation, PsychologicalFibromyalgiaHealth BehaviorLife StyleAdultCluster AnalysisClustering AlgorithmsCross-Sectional StudiesDietExerciseFemaleHumansMaleMiddle AgedSeverity of Illness IndexSurveys and Questionnairesbehavioral patternscluster analysisdietary modificationfibromyalgialifestyle adaptationmusculoskeletal diseasephysical activity

Identifiers

PMID42280434
PMCPMC13258982

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.