Intended for healthcare professionals

CCBYNC Open access
Research

Low maternal exposure to ultraviolet radiation in pregnancy, month of birth, and risk of multiple sclerosis in offspring: longitudinal analysis

BMJ 2010; 340 doi: https://doi.org/10.1136/bmj.c1640 (Published 29 April 2010) Cite this as: BMJ 2010;340:c1640
  1. Judith Staples, student1,
  2. Anne-Louise Ponsonby, professor2,
  3. Lynette Lim, biostatistician1
  1. 1National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
  2. 2Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Victoria, Australia
  1. Correspondence to: A-L Ponsonby anne-louise.ponsonby{at}mcri.edu.au
  • Accepted 12 January 2010

Abstract

Objectives To investigate the distribution of month of birth in people with multiple sclerosis in Australia. To use the large regional and seasonal variation in ambient ultraviolet radiation in Australia to explore the association between exposure to ultraviolet radiation during pregnancy and subsequent risk of multiple sclerosis in offspring.

Design Data were gathered on birth month and year (1920-1950), sex, and state of birth for all patients surveyed in 1981 in Queensland, Western Australia, New South Wales (including Australian Capital Territory), South Australia, and Hobart (Tasmania). Population denominators were derived from the 1981 census and supplementary birth registration data. A variable for exposure to ambient ultraviolet radiation “at birth” was generated from monthly averages of daily total ambient ultraviolet radiation for each region. Negative binomial regression models were used to investigate exposure to ambient ultraviolet radiation at birth and at various intervals before birth.

Setting Patient data from multiple sclerosis prevalence surveys carried out in 1981; 1981 Australian census (giving the total number of people born in Australia and still alive and living in Australia in 1981 by year of birth 1920-50); supplementary Australian birth registration data covering the same birth years by month and state.

Participants 1524 patients with multiple sclerosis born in Australia 1920-50 from total population of 2 468 779.

Main outcome measure Cumulative incidence rate of multiple sclerosis.

Results There was a pattern of risk of multiple sclerosis with month of birth (adjusted incidence rate ratio 1.32, 95% confidence interval 1.10 to 1.58, P<0.01, for those born in November-December compared with those born in May-June). This pattern mirrored that previously reported in the northern hemisphere. Region of birth was related to risk. After adjustment for region of birth and other factors, there was an inverse association between ambient ultraviolet radiation in the first trimester and risk of multiple sclerosis (with ≥25 erythemal (skin reddening) dose units as reference (that is, adjusted incidence rate ratio=1.00), the rates were 1.54 (1.10 to 2.16) for 20-<25 units; 1.58 (1.12 to 2.22) for 15-<20 units; 1.65 (1.17 to 2.33) for 10-<15 units; 1.65 (1.18 to 2.29) for 5-<10 units; and 1.67 (1.18 to 2.37) for <5 units). After adjustment for this exposure during early pregnancy, there was no residual association between month of birth and multiple sclerosis.

Conclusion Region of birth and low maternal exposure to ultraviolet radiation in the first trimester are independently associated with subsequent risk of multiple sclerosis in offspring in Australia.

Footnotes

  • We gratefully acknowledge the assistance of J G McLeod, S R Hammond, and P Macaskill in providing case data and advice on the conduct of the original 1981 national multiple sclerosis survey. H P Gies, Australian Radiation Protection and Nuclear Safety Agency (ARPANSA), kindly provided the regional ultraviolet radiation data for the Australian State capital cities for 1996-2000. We also thank A J McMichael and J G McLeod for their comments on the manuscript and H Raschella and A Pezic for literature review and manuscript preparation.

  • Contributors: All authors were involved in the study design and analysis, participated in the preparation and writing of the manuscript, and approved the final version. JS is guarantor.

  • Funding: The research was supported by an Australian National University (ANU) Graduate School scholarship and a supplementary scholarship from the National Centre for Epidemiology and Population Health, ANU, awarded to JS.

  • Competing interests: All authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare that (1) JS, ALP, LL have no relationships with companies that might have an interest in the submitted work in the previous 3 years; (3) their spouses, partners, or children have no financial relationships that may be relevant to the submitted work; and (4) JS, ALP, LL have no non-financial interests that may be relevant to the submitted work.

  • Ethical approval: This study was approved by the human research ethics committee, Australian National University.

  • Data sharing: No additional data available.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

View Full Text