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Research Article| Volume 21, P30-34, April 2018

The use of satellite data to measure ultraviolet-B penetrance and its potential association with age of multiple sclerosis onset

  • Ofer Amram
    Affiliations
    Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, P O Box 1495, Spokane, WA 99210-1495, USA
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  • Nadine Schuurman
    Affiliations
    Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia, Canada V5A 1S6
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  • Ellen Randall
    Affiliations
    School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, Canada V6T 1Z9
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  • Feng Zhu
    Affiliations
    Division of Neurology, Faculty of Medicine and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2221 Wesbrook Mall, Vancouver, Canada V6T 2B5
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  • Jameelah Saeedi
    Affiliations
    Neurology Department, National Neuroscience Institute, King Fahad Medical City, P.O. Box 59046, M.B.N.020007, Riyadh 11525, Saudi Arabia
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  • Peter Rieckmann
    Affiliations
    Department of Neurology, Sozialstiftung Bamberg, Teaching Hospital of the Friedrich-Alexander Universität Erlangen, Buger Str. 80, D-96049 Bamberg, Germany
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  • Irene Yee
    Affiliations
    Division of Neurology, Faculty of Medicine and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2221 Wesbrook Mall, Vancouver, Canada V6T 2B5

    Department of Medical Genetics, Faculty of Medicine, University of British Columbia, C201 – 4500 Oak Street, Vancouver, Canada V6H 3N1
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  • Helen Tremlett
    Correspondence
    Correspondence to: Faculty of Medicine (Neurology), Room S126, UBC Hospital, 2211 Wesbrook Mall, University of British Columbia, Vancouver, British Columbia, Canada V6T 2B5.
    [email protected] http://epims.med.ubc.ca/
    Affiliations
    Division of Neurology, Faculty of Medicine and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2221 Wesbrook Mall, Vancouver, Canada V6T 2B5
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Published:February 05, 2018DOI:https://doi.org/10.1016/j.msard.2018.02.005

      Highlights

      • UVB may alter multiple sclerosis (MS) risk and possibly modify the age at onset.
      • 3226 adult-onset MS patients’ places of residence from birth were geocoded.
      • cumulative ambient UVB from ages 0–18 years was assessed using NASA satellite data.
      • no associations were found between this early life ambient UVB and age at MS onset.

      Abstract

      Background

      Studies have indicated an association between low Ultraviolet B (UVB) exposure and an increased risk of developing multiple sclerosis (MS). Few studies, however, have explored whether UVB exposure is associated with the age at MS symptom onset.

      Objective

      We investigated the potential association between cumulative early life ambient UVB exposure and age at MS onset, using satellite data to measure ambient UVB exposure.

      Methods

      Adult onset MS patients were selected from the University of British Columbia's MS genetic database (1980–2005). Patients’ places of residence from birth to age 18 years were geocoded (latitude and longitude) and assigned UVB values using NASA's Total Ozone Mapping Spectrometer (TOMS) dataset. Linear regression was used to explore the relationship between cumulative UVB exposure (measured for age periods 0–6, 7–12, 13–18, 0–12, and 0–18) and age at MS onset.

      Results

      3226 patients were included in the analysis. Of these, 74% were female, with an overall mean symptom onset age of 33.3 years. At onset, a total of 2944 (91%) had a relapsing-remitting disease course, 254 (8%) had primary progressive and the disease course for 28 (1%) was unknown. No significant associations between cumulative early life ambient UVB exposure and age at MS onset were observed. Patient sex, MS phenotype, and immigration to Canada after age 18 were significantly associated with age of onset (p < 0.01).

      Conclusions

      Early life ambient UVB, as measured by satellite imagery, was not significantly associated with the age at MS onset.

      Keywords

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