Nicola Veronese1,2, Nitin Shivappa3,4,5, Brendon Stubbs6,7,8, Toby Smith9, James R Hébert3,4,5, Cyrus Cooper10,11,12, Giuseppe Guglielmi13,14, Jean-Yves Reginster15, Renè Rizzoli16, Stefania Maggi17. 1. Aging Branch, Neuroscience Institute, National Research Council-CNR, Via Giustiniani, 2, 35128, Padova, Italy. ilmannato@gmail.com. 2. Ambulatory of Clinical Nutrition, Research Hospital, IRCCS "S. de Bellis", Castellana Grotte, Bari, Italy. ilmannato@gmail.com. 3. Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA. 4. Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA. 5. Connecting Health Innovations LLC, Columbia, SC, 29201, USA. 6. Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, UK. 7. Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience King's College London, De Crespigny Park, London, SE5 8AF, UK. 8. Faculty of Health, Social Care and Education, Anglia Ruskin University, Bishop Hall Lane, Chelmsford, CM1 1SQ, UK. 9. Faculty of Medicine and Health Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK. 10. Oxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Nuffield Orthopaedic Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD, UK. 11. MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK. 12. National Institute for Health Research Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital, Southampton, SO16 6YD, UK. 13. Department of Radiology, University of Foggia, Foggia, Italy. 14. Department of Radiology, Scientific Institute "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, Foggia, Italy. 15. Department of Public Health, Epidemiology and Health Economics, University of Liege, CHU Sart Tilman B23, 4000, Liège, Belgium. 16. Division of Bone Diseases, Department of Internal Medicine Specialties, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland. 17. Aging Branch, Neuroscience Institute, National Research Council-CNR, Via Giustiniani, 2, 35128, Padova, Italy.
Abstract
PURPOSE: To investigate whether higher dietary inflammatory index (DII®) scores were associated with higher prevalence of radiographic symptomatic knee osteoarthritis in a large cohort of North American people from the Osteoarthritis Initiative database. METHODS: A total of 4358 community-dwelling participants (2527 females; mean age 61.2 years) from the Osteoarthritis Initiative were identified. DII® scores were calculated using the validated Block Brief 2000 Food-Frequency Questionnaire and scores were categorized into quartiles. Knee radiographic symptomatic osteoarthritis was diagnosed clinically and radiologically. The strength of association between divided into quartiles (DII®) and knee osteoarthritis was investigated through a logistic regression analysis, which adjusted for potential confounders, and results were reported as odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS: Participants with a higher DII® score, indicating a more pro-inflammatory diet, had a significantly higher prevalence of radiographic symptomatic knee osteoarthritis compared to those with lower DII® score (quartile 4: 35.4% vs. quartile 1: 24.0%; p < 0.0001). Using a logistic regression analysis, adjusting for 11 potential confounders, participants with the highest DII® score (quartile 4) had a significantly higher probability of experiencing radiographic symptomatic knee osteoarthritis (OR 1.40; 95% CI 1.14-1.72; p = 0.002) compared to participants with the lowest DII® score (quartile 1). CONCLUSIONS: Higher DII® values are associated with higher prevalence of radiographic symptomatic knee osteoarthritis.
PURPOSE: To investigate whether higher dietary inflammatory index (DII®) scores were associated with higher prevalence of radiographic symptomatic knee osteoarthritis in a large cohort of North American people from the Osteoarthritis Initiative database. METHODS: A total of 4358 community-dwelling participants (2527 females; mean age 61.2 years) from the Osteoarthritis Initiative were identified. DII® scores were calculated using the validated Block Brief 2000 Food-Frequency Questionnaire and scores were categorized into quartiles. Knee radiographic symptomatic osteoarthritis was diagnosed clinically and radiologically. The strength of association between divided into quartiles (DII®) and knee osteoarthritis was investigated through a logistic regression analysis, which adjusted for potential confounders, and results were reported as odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS:Participants with a higher DII® score, indicating a more pro-inflammatory diet, had a significantly higher prevalence of radiographic symptomatic knee osteoarthritis compared to those with lower DII® score (quartile 4: 35.4% vs. quartile 1: 24.0%; p < 0.0001). Using a logistic regression analysis, adjusting for 11 potential confounders, participants with the highest DII® score (quartile 4) had a significantly higher probability of experiencing radiographic symptomatic knee osteoarthritis (OR 1.40; 95% CI 1.14-1.72; p = 0.002) compared to participants with the lowest DII® score (quartile 1). CONCLUSIONS: Higher DII® values are associated with higher prevalence of radiographic symptomatic knee osteoarthritis.
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