Adriana Mannino1, Fiona E Lithander2, Eleanor Dunlop1, Samuel Hoare3, Nitin Shivappa4, Alison Daly1, Michael Phillips5, Gavin Pereira6, Jill Sherriff1, Robyn M Lucas7, Anne-Louise Ponsonby8, James R Hébert4, Ingrid van der Mei9, Lucinda J Black10. 1. Curtin School of Population Health, Curtin University, Perth, WA, Australia. 2. Population Health Sciences, Bristol Medical School, University of Bristol, BS8 1QU, United Kingdom. 3. National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia. 4. Cancer Prevention and Control Program, University of South Carolina, Columbia, SC, United States of America; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America. 5. Harry Perkins Institute of Medical Research, The University of Western Australia, Perth, WA, Australia. 6. Curtin School of Population Health, Curtin University, Perth, WA, Australia; enAble Institute, Curtin University, Perth, WA, Australia; Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway. 7. National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia; Centre for Ophthalmology and Visual Science, University of Western Australia, Perth, WA, Australia. 8. Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia; Murdoch Children's Research Institute, The University of Melbourne, Melbourne, VIC, Australia. 9. Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia. 10. Curtin School of Population Health, Curtin University, Perth, WA, Australia; Curtin Health Innovation Research Institute (CHIRI), Curtin University, Perth, WA, Australia. Electronic address: lucinda.black@curtin.edu.au.
Abstract
BACKGROUND: While a number of studies have examined associations between dietary factors and risk of multiple sclerosis (MS), little is known about intakes of inflammation-modulating foods and nutrients and risk of MS. OBJECTIVES: To test associations between the Dietary Inflammatory Index (DII®) and risk of a first clinical diagnosis of central nervous system (CNS) demyelination (FCD) (267 cases, 507 controls) using data from the Ausimmune Study. METHODS: The 2003-2006 Ausimmune Study was a multicentre, matched, case-control study examining environmental risk factors for an FCD, a common precursor to MS. The DII is a well-recognised tool that categorises individuals' diets on a continuum from maximally anti-inflammatory to maximally pro-inflammatory. The DII score was calculated from dietary intake data collected using a food frequency questionnaire. Conditional logistic regression models were used to estimate the association between DII and FCD separately for men and women. RESULTS: In women, a higher DII score was associated with increased likelihood of FCD, with a 17% increase in likelihood of FCD per one-unit increase in DII score (adjusted odds ratio 1.17, 95% confidence interval 1.04-1.33). There was no association between DII and FCD in men (adjusted odds ratio 0.88, 95% confidence interval 0.73-1.07). CONCLUSIONS: These findings suggest that a pro-inflammatory diet is associated with an increased likelihood of FCD in women.
BACKGROUND: While a number of studies have examined associations between dietary factors and risk of multiple sclerosis (MS), little is known about intakes of inflammation-modulating foods and nutrients and risk of MS. OBJECTIVES: To test associations between the Dietary Inflammatory Index (DII®) and risk of a first clinical diagnosis of central nervous system (CNS) demyelination (FCD) (267 cases, 507 controls) using data from the Ausimmune Study. METHODS: The 2003-2006 Ausimmune Study was a multicentre, matched, case-control study examining environmental risk factors for an FCD, a common precursor to MS. The DII is a well-recognised tool that categorises individuals' diets on a continuum from maximally anti-inflammatory to maximally pro-inflammatory. The DII score was calculated from dietary intake data collected using a food frequency questionnaire. Conditional logistic regression models were used to estimate the association between DII and FCD separately for men and women. RESULTS: In women, a higher DII score was associated with increased likelihood of FCD, with a 17% increase in likelihood of FCD per one-unit increase in DII score (adjusted odds ratio 1.17, 95% confidence interval 1.04-1.33). There was no association between DII and FCD in men (adjusted odds ratio 0.88, 95% confidence interval 0.73-1.07). CONCLUSIONS: These findings suggest that a pro-inflammatory diet is associated with an increased likelihood of FCD in women.
Authors: Tim Düking; Lena Spieth; Stefan A Berghoff; Lars Piepkorn; Annika M Schmidke; Miso Mitkovski; Nirmal Kannaiyan; Leon Hosang; Patricia Scholz; Ali H Shaib; Lennart V Schneider; Dörte Hesse; Torben Ruhwedel; Ting Sun; Lisa Linhoff; Andrea Trevisiol; Susanne Köhler; Adrian Marti Pastor; Thomas Misgeld; Michael Sereda; Imam Hassouna; Moritz J Rossner; Francesca Odoardi; Till Ischebeck; Livia de Hoz; Johannes Hirrlinger; Olaf Jahn; Gesine Saher Journal: Sci Adv Date: 2022-09-16 Impact factor: 14.957