학술논문
Childhood and adolescence factors and multiple sclerosis: results from the German National Cohort (NAKO).
Document Type
Academic Journal
Author
Holz A; Institute of Medical Biometry and Epidemiology (IMBE), University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany. a.holz@uke.de.; Institute of Tumor Biology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany. a.holz@uke.de.; Obi N; Institute of Medical Biometry and Epidemiology (IMBE), University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany.; Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.; Ahrens W; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.; University Bremen, Bremen, Germany.; Berger K; Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.; Bohn B; NAKO e.V., Heidelberg, Germany.; Brenner H; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Fischer B; Institute for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.; Fricke J; Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.; Führer A; Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.; Gastell S; NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.; Greiser KH; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Harth V; Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.; Heise JK; Helmholtz Centre for Infection Research (HZI), Hannover, Germany.; Holleczek B; Saarland Cancer Registry, Saarbrücken, Germany.; Keil T; Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.; Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.; State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany.; Klett-Tammen CJ; Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany.; Leitzmann M; Institute for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.; Lieb W; Institute of Epidemiology, Kiel University, Kiel, Germany.; Meinke-Franze C; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.; Michels KB; Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.; Mikolajczyk R; Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.; Nimptsch K; Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany.; Peters A; Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.; Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany.; Pischon T; Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany.; Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany.; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.; Riedel O; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.; Schikowski T; IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany.; Schipf S; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.; Schmidt B; Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.; Schulze MB; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.; Stang A; Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.; School of Public Health, Department of Epidemiology Boston University, 715 Albany Street, Talbot Building, Boston, MA, 02118, USA.; Hellwig K; Katholisches Klinikum Bochum, Neurology Clinic, Clinic of Ruhr-Universität Bochum, Bochum, Germany.; Riemann-Lorenz K; Center for Molecular Neurobiology Hamburg (ZMNH), Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.; Heesen C; Center for Molecular Neurobiology Hamburg (ZMNH), Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.; Department of Neurology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.; Becher H; Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany.
Source
Publisher: BioMed Central Country of Publication: England NLM ID: 100968555 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2377 (Electronic) Linking ISSN: 14712377 NLM ISO Abbreviation: BMC Neurol Subsets: MEDLINE
Subject
Language
English
Abstract
Background: Multiple Sclerosis (MS) represents the most common inflammatory neurological disease causing disability in early adulthood. Childhood and adolescence factors might be of relevance in the development of MS. We aimed to investigate the association between various factors (e.g., prematurity, breastfeeding, daycare attendance, weight history) and MS risk.
Methods: Data from the baseline assessment of the German National Cohort (NAKO) were used to calculate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for the association between childhood and adolescence factors and risk of MS. Analyses stratified by sex were conducted.
Results: Among a total of 204,273 participants, 858 reported an MS diagnosis. Male sex was associated with a decreased MS risk (HR 0.48; 95% CI 0.41-0.56), while overweight (HR 2.03; 95% CI 1.41-2.94) and obesity (HR 1.89; 95% CI 1.02-3.48) at 18 years of age compared to normal weight were associated with increased MS risk. Having been breastfed for ≤ 4 months was associated with a decreased MS risk in men (HR 0.59; 95% CI 0.40-0.86) compared to no breastfeeding. No association with MS risk was observed for the remaining factors.
Conclusions: Apart from overweight and obesity at the age of 18 years, we did not observe considerable associations with MS risk. The proportion of cases that can be explained by childhood and adolescence factors examined in this study was low. Further investigations of the association between the onset of overweight and obesity in childhood and adolescence and its interaction with physical activity and MS risk seem worthwhile.
(© 2024. The Author(s).)
Methods: Data from the baseline assessment of the German National Cohort (NAKO) were used to calculate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for the association between childhood and adolescence factors and risk of MS. Analyses stratified by sex were conducted.
Results: Among a total of 204,273 participants, 858 reported an MS diagnosis. Male sex was associated with a decreased MS risk (HR 0.48; 95% CI 0.41-0.56), while overweight (HR 2.03; 95% CI 1.41-2.94) and obesity (HR 1.89; 95% CI 1.02-3.48) at 18 years of age compared to normal weight were associated with increased MS risk. Having been breastfed for ≤ 4 months was associated with a decreased MS risk in men (HR 0.59; 95% CI 0.40-0.86) compared to no breastfeeding. No association with MS risk was observed for the remaining factors.
Conclusions: Apart from overweight and obesity at the age of 18 years, we did not observe considerable associations with MS risk. The proportion of cases that can be explained by childhood and adolescence factors examined in this study was low. Further investigations of the association between the onset of overweight and obesity in childhood and adolescence and its interaction with physical activity and MS risk seem worthwhile.
(© 2024. The Author(s).)