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Record W4411430599 · doi:10.1016/j.ard.2025.06.1115

ABS0546 MEDITERRANEAN DIET ADHERENCE IN IDIOPATHIC INFLAMMATORY MYOPATHIES AND OTHER RMDS: A COVAD GROUP STUDY

2025· article· en· W4411430599 on OpenAlexaboutno aff
Sreoshy Saha, Mihir Sarkar, Maria Rosa Pellico, Elena Philippou, Praggya Yaadav, Tsvetelina Velikova, Abraham Edgar Gracia‐Ramos, Aviya Lanis, Kuoyuan Cheng, Dzifa Dey, Elena Nikiphorou, Jasmine Parihar, V. Agarwal, Vincenzo Venerito

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFamilial Mediterranean feverInternal medicineMediterranean dietPhysical therapyImmunologyDisease

Abstract

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Background: The Mediterranean diet (MeD) is associated with improved health outcomes [1], though its potential impact on patients with Idiopathic Inflammatory Myopathies (IIM) and other rheumatic diseases remains understudied. Objectives: Using data from the 3rd Collating the Voice of People in Autoimmune Diseases (CoVAD) study, we explored MeD adherence patterns and their association with clinical outcomes in patients with autoimmune diseases, particularly IIM. Secondary objectives included identifying predictors of dietary adherence and assessing its association with physical function and disease parameters. Methods: CoVAD is an international e-survey which collected patient-reported data from participants with IIM, other rheumatic diseases (RMD), non-rheumatic autoimmune diseases (nrAID) and healthy controls (HC). Data included patient demographics and a holistic assessment of biopsychological determinants of health using various validated measures spanning key domains: physical & Mental health (PROMIS Global-10), Physical Function (PROMIS Physical Function(PF)-4a), Disease severity (Patient Global Disease Activity Score, Patient Global Damage Assessment), Mental wellbeing (Brief Resilience Scale, Loneliness Scale, Self Efficacy in Managing Chronic Diseases), Social factors (Family APGAR scale, Short Index of Job Satisfaction), and lifestyle behaviors (Mediterranean Diet Adherence Screener (MEDAS) (Figure 1A). Statistical analysis included Pearson's correlations, t-tests/Mann-Whitney U tests and chi-squared tests as appropriate for data distribution. Multivariable regression identified predictors of MeD adherence in IIM patients. Results: The study included 207 patients with Idiopathic inflammatory myopathies (IIM), 761 with other rheumatic diseases (RMD), 125 with non-rheumatic autoimmune diseases (nrAID) and 312 healthy controls. Mediterranean Diet Adherence Screener (MEDAS) scores were nearly similar across groups IIM: 5.34 (2.16), RMD: 5.53 (2.11), nrAID: 5.24 (1.91) (p<0.001). Among IIM patients, 55.07% demonstrated low Med adherence (MEDAS ≤5), 40.09% moderate adherence (MEDAS 6–9), and 4.83% high adherence. (MEDAS≥10) [Figure 2A]. Notably, Inclusion Body Myositis (IBM) and Necrotizing Autoimmune Myopathy patients showed better MeD adherence, compared to other IIM subtypes. Most consumed foods groups included sweet beverages and poultry, while olive oil, wine, and seafood were least consumed in IIM patients [Figure 1B]. IBM patients demonstrated a significant inverse relationship between MEDAS adherence and pain. Dermatomyositis (DM) patients show inverse relationship with fatigue and positive in self-efficacy [Figure 1E]. Multivariate analysis identified basic multimorbidity (B=1.128, p=0.047) and marital status (B=0.712, p=0.044) as positive predictors of dietary adherence, whilst active disease (B=-1.901, p=0.017), pain (B=-0.168, p=0.045), and caregiving responsibilities (B=-0.898, p=0.018) emerged as negative predictors [Figure 1C]. MEDAS scores positively correlated with physical health and exercise, whilst showing negative associations with pain and fatigue. High self-efficacy in DM was associated with high MEDAS [Figure 1E]. In cluster analysis, the distribution of IIM was categorized into three identified clusters. Cluster 1 had lower comorbidities, higher PROMIS PF4a, subjective well-being, and physical health. Cluster 2 showed higher pain, fatigue, and loneliness, with lower physical and mental health. Cluster 3 had the longest disease duration and moderate physical health, but higher caregiver roles and comorbidity burden [Figure 2C]. In other RMDs, MeD adherence showed positive correlations with physical and mental health metrics, including physical function, subjective well-being, resilience and exercise habits, self-efficacy, job satisfaction whilst negatively correlating with fatigue, loneliness and disease activity. Similarly, in nrAIDs, dietary adherence positively associated with physical health and negatively with fatigue levels [Figure 1D]. Conclusion: This study reveals a complex interplay between mediterranean diet adherence and health outcomes in autoimmune conditions. The findings suggest a syndemic cluster where dietary behaviour interweaves with both psychosocial and clinical variables. Notably, adverse disease parameters and social stressors showed outsized negative impacts on dietary adherence, whilst positive health metrics clustered together, suggesting a bidirectional relationship. The consistent associations across IIM, rheumatic and non-rheumatic autoimmune groups point towards a broader construct where dietary behaviour forms part of an intricate wellness pattern, rather than functioning as an isolated health determinant. This understanding emphasizes the need for holistic interventional approaches that address both clinical and psychosocial barriers to dietary adherence, and potentially affecting patient well-being. REFERENCES: [1] Martinez-Lacoba R. Eur J Public Health. 2018 Oct 1;28(5):955-961. Figure 1A) Variables Evaluated to Assess Holistic Well-Being B) Percentage of Participants in the high intake per food group C) Association from Multivariate Analysis of IIM patients D) Correlation Coefficients between MEDAS and variables across all groups E) Correlation Coefficients between MEDAS and variables in IIM subtypes. Figure 2A) Baseline characteristics of all groups. B) Inclusion Criteria Flow Chart for IIM Responses. C) Cluster analysis in IIM patients. Acknowledgements: Patient research partners: Peter Boyd, Linda Kobert, Paula Jordan, Kirtida Oza, Dr. Ingrid De Groot, Allison Foss, Celia Meyer, Karin Blomkvist Sporre, Annika Broberg Lavén, Veronica Fatura, Ailsa Bosworth, Malak Aburas, Silvia Aguilera, Rachel bromley; Patient Support Groups: Cure JM, JCR, CYPLER, EULAR PARE, Myositis Support and Understanding, Myositis UK, The Myositis Association, ARCH Network, ArLAR, Young GRAPPA, APLAR myositis SIG, Myasthenia Gravis Association, Wolverhampton PSG, Patients Alliance for Rheumatic Diseases (PARD), SSc UK, Conquer Myasthenia Gravis, Myasthenia Gravis Association of Western PA, The MG Holistic Society, MG Ohio, Myasthenia Gravis Foundation of Michigan,MIHRA, EULAR Rehfap, Myositis Canada, AAAA, NRAS, National Association for SLE, TMA Michigan Support Group Co-leader, TMA Adelante Affinity Group Co-leader, Myasthenia Gravis Foundation of America, MIHRA, EULAR Reproductive Health and Family Planning (ReHFaP), Rodney Jansen (Myositis Canada), Asociacion Miastenia de Espana, Conquer MG, Associazione Italiana Miastenia, Associazione Miastenia, EU-MGA, Hellenic Myasthenia Association, MG Holistic Society, MG Japan, MG Ohio, MG Society of Canada, Myasthenia Gravis Association, Myasthenia Gravis Association of Western PA, Myasthenia Gravis Foundation of America, Myasthenia Gravis Foundation of Bulgaria, Myasthenia Gravis Foundation of Michigan, MyAware, Netherlands MG Association, Stowarzyszenie Miastenia Gravis Face to Face, Mission Arthritis India (MAI), Ankylosing Spondylitis Welfare Society (ASWS), StandForAS, Scleroderma India. Disclosure of Interests: Sreoshy Saha: None declared, Manali Sarkar: None declared, Maria Rosaria Pellico: None declared, Elena Philippou: None declared, Praggya Yaadav: None declared, Tsvetelina Velikova received speaker honoraria from Pfizer and AstraZeneca, non-related to the current abstract, Abraham Edgar Gracia-Ramos: None declared, Aviya Lanis: None declared, Karen Cheng employed by Sobi working on projects unrelated to this abstract, Dzifa Dey: None declared, Elena Nikiphorou received speaker honoraria/participated in advisory boards for Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, and Lilly, holds research grants from Pfizer and Lilly, Jasmine Parihar: None declared, Vikas Agarwal: None declared, Vincenzo Venerito: None declared, Latika Gupta: None declared. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.314
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2025
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