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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Article info
Publication history
Published online: February 05, 2018
Accepted:
February 5,
2018
Received in revised form:
February 1,
2018
Received:
October 10,
2017
Identification
Copyright
© 2018 Elsevier B.V. All rights reserved.