Lucinda J Black1, Charlotte Rowley1, Jill Sherriff1, Gavin Pereira1, Anne-Louise Ponsonby2, Robyn M Lucas3. 1. School of Public Health, Curtin University, Perth, WA, Australia. 2. Murdoch Children's Research Institute, The University of Melbourne, Melbourne, VIC, Australia/National Centre for Epidemiology & Population Health, Research School of Population Health, The Australian National University, Canberra, ACT, Australia. 3. National Centre for Epidemiology & Population Health, Research School of Population Health, The Australian National University, Canberra, ACT, Australia/Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, WA, Australia.
Abstract
BACKGROUND: The evidence associating diet and risk of multiple sclerosis is inconclusive. OBJECTIVE: We investigated associations between dietary patterns and risk of a first clinical diagnosis of central nervous system demyelination, a common precursor to multiple sclerosis. METHODS: We used data from the 2003-2006 Ausimmune Study, a case-control study examining environmental risk factors for a first clinical diagnosis of central nervous system demyelination, with participants matched on age, sex and study region. Using data from a food frequency questionnaire, dietary patterns were identified using principal component analysis. Conditional logistic regression models (n = 698, 252 cases, 446 controls) were adjusted for history of infectious mononucleosis, serum 25-hydroxyvitamin D concentrations, smoking, race, education, body mass index and dietary misreporting. RESULTS: We identified two major dietary patterns - healthy (high in poultry, fish, eggs, vegetables, legumes) and Western (high in meat, full-fat dairy; low in wholegrains, nuts, fresh fruit, low-fat dairy), explaining 9.3% and 7.5% of variability in diet, respectively. A one-standard deviation increase in the healthy pattern score was associated with a 25% reduced risk of a first clinical diagnosis of central nervous system demyelination (adjusted odds ratio 0.75; 95% confidence interval 0.60, 0.94; p = 0.011). There was no statistically significant association between the Western dietary pattern and risk of a first clinical diagnosis of central nervous system demyelination. CONCLUSION: Following healthy eating guidelines may be beneficial for those at high risk of multiple sclerosis.
BACKGROUND: The evidence associating diet and risk of multiple sclerosis is inconclusive. OBJECTIVE: We investigated associations between dietary patterns and risk of a first clinical diagnosis of central nervous system demyelination, a common precursor to multiple sclerosis. METHODS: We used data from the 2003-2006 Ausimmune Study, a case-control study examining environmental risk factors for a first clinical diagnosis of central nervous system demyelination, with participants matched on age, sex and study region. Using data from a food frequency questionnaire, dietary patterns were identified using principal component analysis. Conditional logistic regression models (n = 698, 252 cases, 446 controls) were adjusted for history of infectious mononucleosis, serum 25-hydroxyvitamin D concentrations, smoking, race, education, body mass index and dietary misreporting. RESULTS: We identified two major dietary patterns - healthy (high in poultry, fish, eggs, vegetables, legumes) and Western (high in meat, full-fat dairy; low in wholegrains, nuts, fresh fruit, low-fat dairy), explaining 9.3% and 7.5% of variability in diet, respectively. A one-standard deviation increase in the healthy pattern score was associated with a 25% reduced risk of a first clinical diagnosis of central nervous system demyelination (adjusted odds ratio 0.75; 95% confidence interval 0.60, 0.94; p = 0.011). There was no statistically significant association between the Western dietary pattern and risk of a first clinical diagnosis of central nervous system demyelination. CONCLUSION: Following healthy eating guidelines may be beneficial for those at high risk of multiple sclerosis.
Authors: I B Katz Sand; Kathryn C Fitzgerald; Yian Gu; Rachel Brandstadter; Claire S Riley; Korhan Buyukturkoglu; Victoria M Leavitt; Stephen Krieger; Aaron Miller; Fred Lublin; Sylvia Klineova; Michelle Fabian; James F Sumowski Journal: Mult Scler Relat Disord Date: 2021-05-19 Impact factor: 4.808
Authors: Lucinda J Black; Gabrielle S Bowe; Gavin Pereira; Robyn M Lucas; Keith Dear; Ingrid van der Mei; Jill L Sherriff Journal: Front Neurol Date: 2019-02-19 Impact factor: 4.003
Authors: Kayluz F Boligan; Johanna Oechtering; Christian W Keller; Benjamin Peschke; Robert Rieben; Nicolai Bovin; Ludwig Kappos; Richard D Cummings; Jens Kuhle; Stephan von Gunten; Jan D Lünemann Journal: Neurol Neuroimmunol Neuroinflamm Date: 2020-02-03
Authors: Samantha N Jensen; Nicole M Cady; Shailesh K Shahi; Stephanie R Peterson; Arnav Gupta; Katherine N Gibson-Corley; Ashutosh K Mangalam Journal: Sci Adv Date: 2021-07-09 Impact factor: 14.136