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000303099 041__ $$aEnglish
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000303099 1001_ $$aHolz, Anja$$b0
000303099 245__ $$aThe Relation of Multiple Sclerosis to Family History, Lifestyle, and Health Factors in Childhood and Adolescence: Findings of a Case-Control Study Nested Within the German National Cohort (NAKO) Study.
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000303099 520__ $$aMultiple sclerosis (MS) is a neuroinflammatory disease of presumed autoimmune origin. A combination of genetic susceptibility and exposure to certain environmental and lifestyle factors might trigger the onset of MS. The currently known risk factors include a genetic predisposition, infection with the Epstein-Barr virus (EBV), smoking, and an increased body mass index.In 2021-22, we carried out a case-control study nested within the German National Cohort (NAKO) to investigate associations of potential risk factors with MS.The subjects included 576 persons with MS (cases) and 895 without MS (controls). Beyond the known risk factors, we observed associations between MS and the cumulative number of common childhood infections (odds ratio (OR) 1.14 per additional infection, 95% confidence interval (CI): [1.03; 1.25]), major stressful life events (SLE) (OR 1.25 per additional event, [1.06; 1.48]), being the firstborn child of a mother aged 30 or older (OR 2.11, [1.08; 4.13]); higher amounts of physical activity in the teenage years were associated with a lower risk of MS (OR 0.82 per unit increase in activity level, [0.71; 0.95]).We confirmed known risk factors for MS and found associations with a number of new ones, e.g., the cumulative number of common childhood infections. These findings may shed light on the etiology of MS and merit further study.
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000303099 650_2 $$2MeSH$$aHumans
000303099 650_2 $$2MeSH$$aMultiple Sclerosis: epidemiology
000303099 650_2 $$2MeSH$$aMultiple Sclerosis: genetics
000303099 650_2 $$2MeSH$$aMultiple Sclerosis: etiology
000303099 650_2 $$2MeSH$$aFemale
000303099 650_2 $$2MeSH$$aMale
000303099 650_2 $$2MeSH$$aCase-Control Studies
000303099 650_2 $$2MeSH$$aGermany: epidemiology
000303099 650_2 $$2MeSH$$aAdolescent
000303099 650_2 $$2MeSH$$aLife Style
000303099 650_2 $$2MeSH$$aChild
000303099 650_2 $$2MeSH$$aRisk Factors
000303099 650_2 $$2MeSH$$aAdult
000303099 650_2 $$2MeSH$$aCohort Studies
000303099 650_2 $$2MeSH$$aMiddle Aged
000303099 650_2 $$2MeSH$$aYoung Adult
000303099 650_2 $$2MeSH$$aGenetic Predisposition to Disease: epidemiology
000303099 650_2 $$2MeSH$$aChild, Preschool
000303099 7001_ $$aObi, Nadia$$b1
000303099 7001_ $$aPischon, Tobias$$b2
000303099 7001_ $$aSchulze, Matthias B$$b3
000303099 7001_ $$aAhrens, Wolfgang$$b4
000303099 7001_ $$aBerger, Klaus$$b5
000303099 7001_ $$aBohn, Barbara$$b6
000303099 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b7$$udkfz
000303099 7001_ $$aEmmel, Carina$$b8
000303099 7001_ $$aFischer, Beate$$b9
000303099 7001_ $$0P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b$$aGreiser, Karin Halina$$b10$$udkfz
000303099 7001_ $$aHarth, Volker$$b11
000303099 7001_ $$aHolleczek, Bernd$$b12
000303099 7001_ $$0P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a$$aKaaks, Rudolf$$b13$$udkfz
000303099 7001_ $$aKarch, André$$b14
000303099 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b15$$udkfz
000303099 7001_ $$aKeil, Thomas$$b16
000303099 7001_ $$aKrist, Lilian$$b17
000303099 7001_ $$aLeitzmann, Michael$$b18
000303099 7001_ $$aMeinke-Franze, Claudia$$b19
000303099 7001_ $$aMichels, Karin B$$b20
000303099 7001_ $$aNimptsch, Katharina$$b21
000303099 7001_ $$aPeters, Annette$$b22
000303099 7001_ $$aRiedel, Oliver$$b23
000303099 7001_ $$aSchikowski, Tamara$$b24
000303099 7001_ $$aSchipf, Sabine$$b25
000303099 7001_ $$aSchmidt, Börge$$b26
000303099 7001_ $$aThierry, Sigrid$$b27
000303099 7001_ $$aHellwig, Kerstin$$b28
000303099 7001_ $$aRiemann-Lorenz, Karin$$b29
000303099 7001_ $$aHeesen, Christoph$$b30
000303099 7001_ $$aBecher, Heiko$$b31
000303099 773__ $$0PERI:(DE-600)2406159-1$$a10.3238/arztebl.m2025.0069$$gVol. 112, no. 13$$n13$$p348-354$$tDeutsches Ärzteblatt international$$v112$$x1866-0452$$y2025
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