Population attributable fractions and joint effects of key risk factors for multiple sclerosis
IAF van der Mei, RM Lucas, BV Taylor, PC Valery, T Dwyer, TJ Kilpatrick, MP Pender, D Williams, C Chapman, P Otahal, A-L Ponsonby
MULTIPLE SCLEROSIS JOURNAL | SAGE PUBLICATIONS LTD | Published : 2016
AIM: We examined the combined effect of having multiple key risk factors and the interactions between the key risk factors of multiple sclerosis (MS). METHODS: We performed an incident case-control study including cases with a first clinical diagnosis of central nervous system demyelination (FCD) and population-based controls. RESULTS: Compared to those without any risk factors, those with one, two, three, and four or five risk factors had increased odds of being an FCD case of 2.12 (95% confidence interval (CI), 1.11-4.03), 4.31 (95% CI, 2.24-8.31), 7.96 (95% CI, 3.84-16.49), and 21.24 (95% CI, 5.48-82.40), respectively. Only HLA-DR15 and history of infectious mononucleosis interacted signi..View full abstract
Awarded by Australian Research Council
This work was supported by the Australian Research Council (Future Fellowship 100100511), the National Health and Medical Research Council of Australia, the Australian Research Council, Multiple Sclerosis Research Australia, the Royal Australasian College of Physicians, MS Research Australia, the United States National Multiple Sclerosis Society, the Poola Foundation, the Health Research Council of New Zealand, the MS Society of Tasmania, Bayer Schering Pharma, and Biogen Idec Inc.