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Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France
Multiple sclerosis (MS) is a neurodegenerative disease of the central nervous system. An increase in MS incidence over time is reported in several regions of the world. We aimed to describe the evolution of the annual MS incidence in the Lorraine region, France, from 1996 to 2015 and to analyze pote...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770673/ https://www.ncbi.nlm.nih.gov/pubmed/35046460 http://dx.doi.org/10.1038/s41598-022-04836-5 |
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author | Gbaguidi, Brigitte Guillemin, Francis Soudant, Marc Debouverie, Marc Mathey, Guillaume Epstein, Jonathan |
author_facet | Gbaguidi, Brigitte Guillemin, Francis Soudant, Marc Debouverie, Marc Mathey, Guillaume Epstein, Jonathan |
author_sort | Gbaguidi, Brigitte |
collection | PubMed |
description | Multiple sclerosis (MS) is a neurodegenerative disease of the central nervous system. An increase in MS incidence over time is reported in several regions of the world. We aimed to describe the evolution of the annual MS incidence in the Lorraine region, France, from 1996 to 2015 and to analyze potential components of a possible change by a temporal effect of age at MS onset, MS onset period, and birth cohort, overall and for each sex. Cases were identified from ReLSEP, a population-based registry of MS cases living in Lorraine, northeastern France, with MS onset between 1996 and 2015. Age-period-cohort modeling was used to describe trends in MS incidence. Annual age- and sex-standardized incidences were relatively stable: 6.76/100 000 population (95%CI [5.76–7.91]) in 1996 and 6.78/100 000 (95%CI [5.72–7.97]) in 2015. The incidence ratio between women and men was 2.4. For all time periods, the peak incidence occurred between ages 25 and 35 years. Age-period–adjusted cohort and age-cohort–adjusted period analyses did not reveal a period or cohort effect. The incidence of MS remained stable over the study period in Lorraine, and we could not identify any particular effect of disease onset period or birth period on this evolution. |
format | Online Article Text |
id | pubmed-8770673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87706732022-01-24 Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France Gbaguidi, Brigitte Guillemin, Francis Soudant, Marc Debouverie, Marc Mathey, Guillaume Epstein, Jonathan Sci Rep Article Multiple sclerosis (MS) is a neurodegenerative disease of the central nervous system. An increase in MS incidence over time is reported in several regions of the world. We aimed to describe the evolution of the annual MS incidence in the Lorraine region, France, from 1996 to 2015 and to analyze potential components of a possible change by a temporal effect of age at MS onset, MS onset period, and birth cohort, overall and for each sex. Cases were identified from ReLSEP, a population-based registry of MS cases living in Lorraine, northeastern France, with MS onset between 1996 and 2015. Age-period-cohort modeling was used to describe trends in MS incidence. Annual age- and sex-standardized incidences were relatively stable: 6.76/100 000 population (95%CI [5.76–7.91]) in 1996 and 6.78/100 000 (95%CI [5.72–7.97]) in 2015. The incidence ratio between women and men was 2.4. For all time periods, the peak incidence occurred between ages 25 and 35 years. Age-period–adjusted cohort and age-cohort–adjusted period analyses did not reveal a period or cohort effect. The incidence of MS remained stable over the study period in Lorraine, and we could not identify any particular effect of disease onset period or birth period on this evolution. Nature Publishing Group UK 2022-01-19 /pmc/articles/PMC8770673/ /pubmed/35046460 http://dx.doi.org/10.1038/s41598-022-04836-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gbaguidi, Brigitte Guillemin, Francis Soudant, Marc Debouverie, Marc Mathey, Guillaume Epstein, Jonathan Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France |
title | Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France |
title_full | Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France |
title_fullStr | Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France |
title_full_unstemmed | Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France |
title_short | Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France |
title_sort | age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in lorraine, france |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770673/ https://www.ncbi.nlm.nih.gov/pubmed/35046460 http://dx.doi.org/10.1038/s41598-022-04836-5 |
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