Literature DB >> 23660795

Socioeconomic factors in childhood and the risk of multiple sclerosis.

Nete Munk Nielsen1, Kristian T Jørgensen, Peter Bager, Egon Stenager, Bo V Pedersen, Henrik Hjalgrim, Nils Koch-Henriksen, Morten Frisch.   

Abstract

In a national cohort comprising 1.5 million Danes born from 1966 to 1992, we studied the association between childhood socioeconomic status (SES) and the risk of multiple sclerosis (MS) from 1981 to 2007 using information about household income and parental educational levels at the person's 15th birthday. The association between childhood SES and MS was evaluated using MS incidence rate ratios with 95% confidence intervals obtained in log-linear Poisson regression analyses. We found no strong association between childhood SES and MS but did observe a tendency toward a reduced risk of MS among children from households with more highly educated parents, particularly mothers. Children whose mothers had a secondary (rate ratio = 0.95, 95% confidence interval: 0.86, 1.04) or higher (rate ratio = 0.86, 95% confidence interval: 0.76, 0.97) education had reduced risks of MS (5% and 14%, respectively) compared with children of mothers with a basic education (P for trend = 0.02). Results were practically unchanged in an analysis restricted to persons aged 15-29 years, among whom the possible effect of own SES on MS risk is considered limited. Overall, SES in childhood seems of no major importance for the subsequent risk of MS; however, offspring of well-educated mothers may be at a slightly reduced risk of MS.

Entities:  

Keywords:  childhood; multiple sclerosis; parental education; socioeconomic status

Mesh:

Year:  2013        PMID: 23660795     DOI: 10.1093/aje/kws350

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  7 in total

1.  The impact of socioeconomic status on subsequent neurological outcomes in multiple sclerosis.

Authors:  Devi Sai Sri Kavya Boorgu; Shruthi Venkatesh; Chirag M Lakhani; Elizabeth Walker; Ines M Aguerre; Claire Riley; Chirag J Patel; Philip L De Jager; Zongqi Xia
Journal:  Mult Scler Relat Disord       Date:  2022-06-24       Impact factor: 4.808

2.  Level of education and multiple sclerosis risk after adjustment for known risk factors: The EnvIMS study.

Authors:  Kjetil Bjørnevik; Trond Riise; Marianna Cortese; Trygve Holmøy; Margitta T Kampman; Sandra Magalhaes; Kjell-Morten Myhr; Christina Wolfson; Maura Pugliatti
Journal:  Mult Scler       Date:  2015-05-26       Impact factor: 6.312

3.  Socioeconomic determinants of global distribution of multiple sclerosis: an ecological investigation based on Global Burden of Disease data.

Authors:  Vahid Kazemi Moghaddam; Aisha S Dickerson; Edris Bazrafshan; Seyedeh Nahid Seyedhasani; Fereshteh Najafi; Mostafa Hadei; Jalil Momeni; Ghasem Moradi; Mohammad Sarmadi
Journal:  BMC Neurol       Date:  2021-04-01       Impact factor: 2.474

4.  Characteristics in childhood and adolescence associated with future multiple sclerosis risk in men: cohort study.

Authors:  M Gunnarsson; R Udumyan; S Bahmanyar; Y Nilsagård; S Montgomery
Journal:  Eur J Neurol       Date:  2015-04-27       Impact factor: 6.089

5.  Socio-economic status influences access to second-line disease modifying treatment in Relapsing Remitting Multiple Sclerosis patients.

Authors:  Floriane Calocer; Olivier Dejardin; Karine Droulon; Guy Launoy; Gilles Defer
Journal:  PLoS One       Date:  2018-02-01       Impact factor: 3.240

6.  Level of education and multiple sclerosis risk over a 50-year period: Registry-based sibling study.

Authors:  Kjetil Bjørnevik; Trond Riise; Espen Benjaminsen; Elisabeth G Celius; Ole P Dahl; Margitta T Kampman; Kristin I Løken-Amsrud; Rune Midgard; Kjell-Morten Myhr; Øivind Torkildsen; Anita Vatne; Nina Grytten
Journal:  Mult Scler       Date:  2016-07-11       Impact factor: 6.312

7.  The Danish Multiple Sclerosis Registry.

Authors:  Melinda Magyari; Hanna Joensen; Bjarne Laursen; Nils Koch-Henriksen
Journal:  Brain Behav       Date:  2020-10-30       Impact factor: 2.708

  7 in total

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