Environmental risk factors in neuromyelitis optica spectrum disorder: a case–control study
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Etemadifar M, Dashti M, Vosoughi R, Abtahi SH, Ramagopalan SV, Nasr Z (2014) An epidemiological study of neuromyelitis optica in Isfahan. Multiple sclerosis. 20(14):1920–1922
Etemadifar M, Nasr Z, Khalili B, Taherioun M, Vosoughi R (2015) Epidemiology of neuromyelitis optica in the world: a systematic review and meta-analysis. Multiple sclerosis international. 2015:174720
Hedstrom AK, Olsson T, Alfredsson L (2015) The role of environment and lifestyle in determining the risk of multiple sclerosis. Curr Top Behav Neurosci. 26:87–104
Abdollahpour I, Nedjat S, Sahraian MA, Mansournia MA, Otahal P, van der Mei I (2017) Waterpipe smoking associated with multiple sclerosis: a population-based incident case-control study. Mult Scler. 23(10):1328–1335
Eskandarieh S, Nedjat S, Abdollahpour I, Moghadasi AN, Azimi AR, Sahraian MA (2017) Comparing epidemiology and baseline characteristic of multiple sclerosis and neuromyelitis optica: a case-control study. Mult Scler Relat Disord. 12:39–43
Eskandarieh S, Heydarpour P, Minagar A, Pourmand S, Sahraian MA (2016) Multiple sclerosis epidemiology in East Asia, South East Asia and South Asia: a systematic review. Neuroepidemiology. 46(3):209–221
Tan CT, Mao Z, Qiu W, Hu X, Wingerchuk DM, Weinshenker BG (2016) International consensus diagnostic criteria for neuromyelitis optica spectrum disorders. Neurology. 86(5):491–492
Eskandarieh S, Nedjat S, Azimi AR, Moghadasi AN, Sahraian MA (2017) Neuromyelitis optica spectrum disorders in Iran. Mult Scler Relat Disord. 18:209–212
Clagett B, Nathanson KL, Ciosek SL, McDermoth M, Vaughn DJ, Mitra N et al (2013) Comparison of address-based sampling and random-digit dialing methods for recruiting young men as controls in a case-control study of testicular cancer susceptibility. Am J Epidemiol 178(11):1638–1647
Ikeda N, Shibuya K, Hashimoto H (2011) Improving population health measurement in national household surveys: a simulation study of the sample design of the comprehensive survey of living conditions of the people on health and welfare in Japan. J Epidemiol. 21(5):385–390
Pugliatti M, Casetta I, Drulovic J, Granieri E, Holmoy T, Kampman MT et al (2012) A questionnaire for multinational case-control studies of environmental risk factors in multiple sclerosis (EnvIMS-Q). Acta Neurol Scand Suppl 195:43–50
Horton M, Rudick RA, Hara-Cleaver C, Marrie RA (2010) Validation of a self-report comorbidity questionnaire for multiple sclerosis. Neuroepidemiology. 35(2):83–90
Sahraian MA, Naghshineh H, Shati M, Jahromi SR, Rezaei N (2016) Persian adaptation of a questionnaire of environmental risk factors in multiple sclerosis (EnvIMS-Q). Mult Scler Relat Disord. 10:82–85
Morabia A (2014) Invited commentary: do-it-yourself modern epidemiology–at last! Am J Epidemiol 180(7):669–672
Andersen PK, Skrondal A (2015) A competing risks approach to “biologic” interaction. Lifetime Data Anal 21(2):300–314
Wingerchuk DM, Lennon VA, Lucchinetti CF, Pittock SJ, Weinshenker BG (2007) The spectrum of neuromyelitis optica. Lancet Neurol. 6(9):805–815
Cossburn M, Tackley G, Baker K, Ingram G, Burtonwood M, Malik G et al (2012) The prevalence of neuromyelitis optica in South East Wales. Eur J Neurol 19(4):655–659
Houzen H, Niino M, Hirotani M, Fukazawa T, Kikuchi S, Tanaka K et al (2012) Increased prevalence, incidence, and female predominance of multiple sclerosis in northern Japan. J Neurol Sci 323(1–2):117–122
Asgari N, Lillevang ST, Skejoe HP, Falah M, Stenager E, Kyvik KO (2011) A population-based study of neuromyelitis optica in Caucasians. Neurology. 76(18):1589–1595
Kashipazha D, Mohammadianinejad SE, Majdinasab N, Azizi M, Jafari M (2015) A descriptive study of prevalence, clinical features and other findings of neuromyelitis optica and neuromyelitis optica spectrum disorder in Khuzestan Province. Iran. Iranian journal of neurology. 14(4):204–210
Shaygannejad V, Rezaie N, Paknahad Z, Ashtari F, Maghzi H (2016) The environmental risk factors in multiple sclerosis susceptibility: a case-control study. Adv Biomed Res. 5:98
Jahromi SR, Toghae M, Jahromi MJ, Aloosh M (2012) Dietary pattern and risk of multiple sclerosis. Iran J Neurol. 11(2):47–53
Bagur MJ, Murcia MA, Jimenez-Monreal AM, Tur JA, Bibiloni MM, Alonso GL et al (2017) Influence of diet in multiple sclerosis: a systematic review. Adv Nutr. 8(3):463–472
Koch-Henriksen N, Sorensen PS (2010) The changing demographic pattern of multiple sclerosis epidemiology. Lancet Neurol. 9(5):520–532
Belbasis L, Bellou V, Evangelou E, Ioannidis JP, Tzoulaki I (2015) Environmental risk factors and multiple sclerosis: an umbrella review of systematic reviews and meta-analyses. Lancet Neurol. 14(3):263–273
Etemadi A, Khademi H, Kamangar F, Freedman ND, Abnet CC, Brennan P et al (2017) Hazards of cigarettes, smokeless tobacco and waterpipe in a Middle Eastern Population: a Cohort Study of 50,000 individuals from Iran. Tob Control. 26(6):674–682
Patil RR (2014) Urbanization as a determinant of health: a socioepidemiological perspective. Soc Work Public Health. 29(4):335–341
Wesnes K, Myhr KM, Riise T, Cortese M, Pugliatti M, Bostrom I et al (2017) Physical activity is associated with a decreased multiple sclerosis risk: the EnvIMS study. Mult Scler. https://doi.org/10.1177/1352458517694088
Hart PH, Gorman S, Finlay-Jones JJ (2011) Modulation of the immune system by UV radiation: more than just the effects of vitamin D? Nat Rev Immunol 11(9):584–596
Abbasi M, Nabavi SM, Fereshtehnejad SM, Jou NZ, Ansari I, Shayegannejad V et al (2017) Multiple sclerosis and environmental risk factors: a case-control study in Iran. Neurol Sci. 38(11):1941–1951
Ramagopalan SV, Dyment DA, Guimond C, Yee IM, Ebers GC, Sadovnick AD (2010) No effect of parental age on risk of multiple sclerosis: a population-based study. Neuroepidemiology. 34(2):106–109