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BMJ 2003;327:316 (9 August), doi:10.1136/bmj.327.7410.316
I A F van der Mei, PhD student1, A-L Ponsonby, associate professor2, T Dwyer, professor1, L Blizzard, biostatistician1, R Simmons, principal research fellow3, B V Taylor, neurologist4, H Butzkueven, neurologist5, T Kilpatrick, associate professor5
1 Menzies Centre for Population Health Research, University of Tasmania, Hobart, TAS 7000, Australia, 2 National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia, 3 Australian MS Longitudinal Study, Canberra Hospital, Canberra, Australia, 4 Royal Hobart Hospital, Hobart, Australia, 5 Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
Correspondence to: I A F van der Mei Ingrid.vanderMei{at}utas.edu.au
Design Population based case-control study.
Setting Tasmania, latitudes 41-3°S.
Participants 136 cases with multiple sclerosis and 272 controls randomly drawn from the community and matched on sex and year of birth.
Main outcome measure Multiple sclerosis defined by both clinical and magnetic resonance imaging criteria.
Results Higher sun exposure when aged 6-15 years (average 2-3 hours or more a day in summer during weekends and holidays) was associated with a decreased risk of multiple sclerosis (adjusted odds ratio 0.31, 95% confidence interval 0.16 to 0.59). Higher exposure in winter seemed more important than higher exposure in summer. Greater actinic damage was also independently associated with a decreased risk of multiple sclerosis (0.32, 0.11 to 0.88 for grades 4-6 disease). A dose-response relation was observed between multiple sclerosis and decreasing sun exposure when aged 6-15 years and with actinic damage.
Conclusion Higher sun exposure during childhood and early adolescence is associated with a reduced risk of multiple sclerosis. Insufficient ultraviolet radiation may therefore influence the development of multiple sclerosis.
In humans, ultraviolet radiation or vitamin D may also protect against multiple sclerosis. A strong ecological association between regional levels of ultraviolet radiation and prevalence of multiple sclerosis is evident in Australia (r = -0.91).8 In a death certificate based case-control study, high residential or occupational exposure to sunlight was negatively associated with mortality from multiple sclerosis.9 Exposure to ultraviolet radiation early in life may alter immunological development during a critical developmental phase. However, the finding of a strong latitudinal gradient of prevalence of multiple sclerosis in Australia even among immigrants from the United Kingdom and Ireland (70% who migrated after age 15) suggests that cumulative exposure to ultraviolet radiation or exposure later in life might also be important.10
Tasmania, the island state of Australia, is located at latitudes 41-3°S and has a high prevalence of multiple sclerosis at 75.6 per 100 000 population.11 We conducted a case-control study in Tasmania to examine whether high past sun exposure was associated with a reduced risk of multiple sclerosis.
Cases
Cases were members of the source population who had a diagnosis of multiple
sclerosis. To recruit participants, information evenings were held for members
of the local multiple sclerosis societies, and information packs were sent out
to neurologists, general physicians, general practitioners, and pharmacists,
who were encouraged to publicise the posters and to inform people with
multiple sclerosis about the programme. Neurologists in the south of the state
sent letters to eligible patients inviting them to participate and verbally
encouraged newly diagnosed patients to participate. In total, 169 people
responded. We included 136 cases in the final sample: 30 people (18%) did not
meet the study criteria for diagnosis of multiple sclerosis, one person
refused a neurological assessment, one person died before interview, and one
person deteriorated and was unable to take part. Respondents were interviewed
and examined by one of the participating neurologists. Magnetic resonance
images subsequently confirmed the diagnosis for 134 cases (99%), and for the
other two cases we obtained the reports of previous scans. Eligible cases had
cerebral abnormalities on magnetic resonance imaging consistent with multiple
sclerosis, as defined by Paty et al, and definite multiple sclerosis using the
criteria of Poser et
al.12
13 Cases with a
classification of primary progressive multiple sclerosis had to exhibit
progressive neurological disability for at least one year, had to have no
other better explanation for the clinical features, and had to have relevant
spinal cord abnormalities and changes on cerebral magnetic resonance imaging
consistent with demyelination. The cases were also included in a genetic
study, for which a haplotype analysis was conducted on the human leucocyte
antigen
region.14
Controls
Controls were selected from the source population using the roll of
registered electors, a comprehensive listing of the population maintained by
the state electoral office of Tasmania. We randomly selected two controls for
each case and matched them to the index case on sex and year of birth.
Overall, 272 of 359 eligible controls participated (response rate 76%). In an
unmatched design, we required at least 100 cases and 200 controls to detect an
odds ratio of 2.0 or 0.5 for the effect of a dichotomous exposure where 40% of
the controls were exposed.
Measurements
Time in sun
Two research assistants conducted all interviews and measurements between
March 1999 and June 2001. Participants were asked about the amount of time
they would normally have spent in the sun during weekends and holidays in
winter and summer ("time in the sun" question), using questions
validated for teenagers in this
climate.15 Answers
to the time in the sun question for winter predict levels of serum
25-hydroxycholecalciferol in 8 year old Tasmanian
children.16 The
standardised questionnaire included questions on measures to protect against
the sun, use of vitamin D supplements at ages 10-15 years, medical history
(including infections and immunisations), and other factors suggested by past
work to be associated with multiple sclerosis. For the timing of exposures we
obtained either the exact age or the five year age range in which the exposure
occurred.17 Before
interview, participants were asked to fill in a lifetime calendar for each
year of their life. During the interview, participants answered the time in
the sun question for summer only for each year of their life, and from the
information in the calendar we identified blocks of years where time in the
sun was constant or not. The
statistic (95% confidence interval)
between the questionnaire based measure and the calendar measure (using the
mean value) for ages 6-10, 11-15, and 16-20 years was 0.54 (0.47 to 0.61),
0.51 (0.44 to 0.58), and 0.44 (0.37 to 0.50), respectively. No difference in
agreement was found between cases and controls.
Actinic damage
Silicone casts of the skin surface of the hand, measuring actinic damage,
were used as an objective marker of cumulative lifetime sun exposure. This
measure has been associated with living in a location with high ultraviolet
radiation, lifetime exposure to sun, outdoor occupations and leisure
activities, solar keratosis, and basal and squamous cell
cancer.18-21
Silicone liquid was mixed with catalyst and applied to the dorsum of the
participant's left hand. After seven minutes, the cast was removed. The lines
on the underside of the cast were examined under a low power dissecting
microscope and graded by one observer from 1 (undamaged skin) to 6 (severe
deterioration).22
By age 14 up to 70% of Australians show detectable skin damage caused by the
sun.18 In Nambour
(latitude 27°S), Queensland, 72% of men and 47% of women had moderate to
severe deterioration of the skin by their
30s.20 Age and sex
have also been shown to be strong predictors of the amount of actinic damage,
and we controlled for these two factors through our matched
design.18
20
21
Skin phenotype
Skin phenotype was assessed with a spectrophotometer at the upper inner arm
and buttock-body sites usually not exposed to sunlight. Cutaneous melanin
density was estimated from the skin reflectance of light centred at 400 nm and
420 nm.23 Skin
colour at the upper inner arm was also assessed visually by the research
assistants. The standardised questionnaire included a question on lifetime
sunburns where the pain lasted more than two days, a measure that reflects
both skin phenotype and sun exposure behaviour. The research assistant also
recorded the number of naevi greater than 5 mm on the left arm, hair and eye
colour, height, and weight.
Data analysis
Pearson correlations were calculated as measures of linear association.
Odds ratios and 95% confidence intervals were estimated by conditional
logistic regression (STATA 7.0). Tests for trend of categorical variables were
undertaken by replacing the binary predictors with a single predictor, taking
category rank scores. The scaled variables for melanin and naevi were
dichotomised at previously used cut-off
points.24 Analysis
of actinic damage was restricted to 323 high quality casts. The recording of
year by year exposure by the lifetime calendar allowed an estimation of
average exposure at any age. We did this for ages 6-10, 11-15, and 16-20 and
for ages 6-10, 6-15, 6-20, and so on. To aggregate and then average annual
exposure, the categories were assigned rank scores. For each age span in the
figure the average sun exposure was dichotomised at 2-3 hours a day. For
table 4 and the figure, the
sample was limited to cases and their matched controls who had not experienced
any symptoms of multiple sclerosis before or during the age span. To take
account of duration of disease, we stratified by time elapsed since the first
symptom of multiple sclerosis: 0-5, 6-10, 11-15, 16-20, and > 20 years. A
test of interaction was conducted using the coefficient and standard error of
a product term of exposure to sun and duration of disease. In analysis,
controls were given the years of duration or the age at onset (age at first
symptom) of their case pair. Proportional hazard regression was used among
cases to assess the effect of sun exposure and skin phenotype on the age at
onset of disease.
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Childhood sun exposure
People with multiple sclerosis were less likely to report severe sunburn
episodes during their lifetime, despite their fairer skin
(table 3). We observed a strong
inverse association between sun exposure in childhood and adolescence and
multiple sclerosis (table 4).
For example, cases were less likely than controls to report higher levels
(> 1 hour a day) of exposure during winter at age 6-10 years (odds ratio
0.47, 95% confidence interval 0.26 to 0.84). This inverse association was
observed for exposure both in winter and in summer (see
table 4). Compared to bivariate
analysis, including both summer and winter questionnaire based measures for
exposure as dichotomised terms in the model left the estimated effect of
exposure in winter almost unchanged (adjusted odds ratio 0.52, 0.28 to 0.95 at
age 6-10 years), but greatly reduced the effect of exposure in summer (0.63,
0.30 to 1.35 at age 6-10 years). This was found irrespective of the age at
exposure.
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We then estimated the effect of average sun exposure at age 6-15 years on multiple sclerosis from the year by year calendar (table 5) taking into account other factors that related to multiple sclerosis (low melanin density at the upper inner arm, smoking, history of glandular fever, no immunisation for rubella in early life, high education, exposure to fibreglass and resin before age 17, exposure to smoke fumes before age 17, and exposure to smoke fumes between age 17 and the age of diagnosis). Intake of vitamin D supplements at age 10-15 years was not associated with multiple sclerosis. After controlling for smoking and melanin density at the upper inner arm, the adjusted odds ratio was 0.31 (0.16 to 0.59) for high sun exposure at age 6-15 years. Additional adjustment for the other factors made no important difference to the results (see table 5).
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Lifetime sun exposure
The figure shows the odds ratios for higher sun exposure by age using the
calendar data. The odds ratio estimates of the apparent protective effect of
higher exposure were greatest for age spans before 15 (6-10 years: 0.43, 0.21
to 0.88; 6-15 years: 0.40, 0.20 to 0.80). Inclusion of later years into the
cumulative lifespan measure diluted the effect. We repeated the analysis on a
subgroup of participants who had indicated on a checklist before interview
that they did not believe that climatic factors such as sun exposure were an
important cause of multiple sclerosis. For this group, the protective effect
of past exposure was even stronger than for the total group
(figure).
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Greater levels of actinic damage were also associated with a reduced risk
of multiple sclerosis (grades 4-6 v grade 3: 0.32, 0.11 to 0.88) with
evidence of a dose-response relation (table
6). We adjusted for melanin density at the upper inner arm because
it was associated with less actinic damage. Doing so increased the magnitude
of the odds ratios. We also adjusted for total sun exposure after onset of
multiple sclerosis to remove the contribution of this factor to the observed
associations. Duration of disease was not strongly associated with past sun
exposure (for example, correlation with exposure to age 15, r = -0.08) or
actinic damage after adjustment for age (r = -0.02). Moreover, the relative
risk estimates for neither exposure to age 15 nor actinic damage differed by
duration of disease, and the protective effects were also observed among cases
of recent (
5 years) onset (adjusted odds ratio 0.58 for 2-3 hours or more
of exposure a day before age 15; 0.50 for grades 4-6 actinic damage), although
the estimates were more imprecise. We then assessed whether higher exposure
before age 15 and greater actinic damage were each important in predicting the
risk of multiple sclerosis. Compared to bivariate analysis, including both in
the same model as linear terms left the effect of each factor almost
unchanged.
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Age at onset
To assess the effect of sun exposure at a specific time immediately before
onset of disease, we created variables of the participants' exposure at
particular years before the onset of multiple sclerosis by using the calendar.
The odds ratios (95% confidence intervals) for 2-3 hours or more exposure to
the sun in summer during weekends and holidays were 0.95 (0.55 to 1.64), 0.92
(0.55 to 1.54), and 1.06 (0.65 to 1.74) for 10 years, five years, and one year
before the onset of multiple sclerosis, respectively. Thus, in contrast to the
inverse association between sun exposure in early life or actinic damage and
multiple sclerosis, there was no evidence that exposure at these particular
years in the decade before the onset of disease was important.
Finally, we examined age at onset of multiple sclerosis among cases. No evidence was found that increasing exposure from age 6-15 years or lifetime actinic damage were associated with earlier onset of disease. However, skin phenotype did relate to age at onset. Low melanin density at the buttock and fair skin were associated with earlier onset of disease.
The case sample seemed similar to other populations with multiple sclerosis of north European ancestry for disease related features such as type of disease, age at diagnosis, and sex ratio.11 32 33 Also, the phenotypic frequency of the human leucocyte antigen haplotype DRB1*1501-DQB1*0602 was similar.34 35 Tasmania provides a good setting for this type of study. Unlike northern Australia, the region has relatively low levels of ambient ultraviolet radiation in winter, and exposure to sun in winter is a major determinant of serum 25-hydroxycholecalciferol concentration in humans living in this location.16 Participation rates were high, reducing non-response bias, but it is possible that some selection bias may have occurred. The use of measures of past time in the sun could have led to substantial misclassification of the measurement of past exposure if participants had resided in locations with varying levels of ambient ultraviolet radiation, but a high proportion of participants had lived in Tasmania for most of their life and their estimated exposure to ultraviolet radiation would not be confounded by past residence. A possible weakness of our study was that prevalent, not incident, cases were studied. It is unlikely that recall bias fully explains the observed strong reported associations. The inverse association between estimated average sun exposure in early life and multiple sclerosis did not seem to be caused by the participants' knowledge of the hypothesis. In fact, the odds ratios for exposure were more protective for the participants who had indicated that they did not believe climatic factors such as sun exposure were an important cause of multiple sclerosis. Also, if the results were caused by recall bias, we would expect this to affect the results of exposure after age 20 or exposure immediately before the age at onset in a similar manner, but this was not the case. In addition, actinic damage, an objective marker of past exposure, also showed an inverse association with multiple sclerosis, and this objective marker is free of recall bias. Disease related changes in behaviour also did not explain the findings because (a) the protective effect of greater actinic damage or exposure to sun in childhood and early adolescence was evident even among the group with recent onset of multiple sclerosis, (b) the strong inverse association between actinic damage and multiple sclerosis persisted after adjustment for differences in sun exposure that occurred after onset of multiple sclerosis, and (c) the association did not differ by duration of disease.
The levels of skin pigmentation in indigenous populations have evolved to optimise the amount of ultraviolet radiation absorbed by the skin for the balance of biological benefits and risks.36 It would be expected that if a host's response to ultraviolet radiation were part of the causal pathway for multiple sclerosis, risk would vary by levels of skin pigmentation. Here, fair skin was associated with an increased risk of multiple sclerosis. Genotypes associated with fair skin may partially contribute to the higher rate of multiple sclerosis observed in Scottish and northern European populations.37
We found that higher sun exposure in winter was particularly important. In our region, the daily levels of ambient ultraviolet radiation are more than 10-fold lower in mid-winter than they are in mid-summer, compounded by less time spent outdoors.38 This suggests that, in winter in particular, minimum threshold requirements for sufficient ultraviolet radiation and vitamin D may not have been met.
The apparent protective effect seemed to be greatest for sun exposure during childhood and early adolescence. However, we can only address the timing issue through self reported data, because actinic damage measures cumulative damage but cannot provide data on timing of sun exposure. The finding of no association between sun exposure in the decade before onset of multiple sclerosis may indicate that the timing low exposure may relate more to age related immunological development than to onset of disease. In conclusion, higher sun exposure seems to be associated with a reduced risk of multiple sclerosis, which is consistent with insufficient ultraviolet radiation influencing the development of multiple sclerosis.
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Contributors: A-LP, TD, and RS designed the study. IvdM coordinated the study and TK, HB, and BVT were the neurologists responsible for the clinical diagnosis of the cases. IvdM conducted the statistical analysis in conjunction with A-LP, LB, and TD. The main contributors to the writing of the report were IvdM, A-LP, LB, and TD, but others provided important feedback at a later stage. All authors approved the final document.
Funding: This project was supported with funding from the National Health and Research Council of Australia, the Australian Rotary Health Research Fund, and MS Australia. IvdM is supported by the Cooperative Research Centre for Discovery of Genes for Common Human Diseases (gene-CRC), and TK is a Viertel fellow. The gene-CRC was established and is supported by the Australian government's Cooperative Research Centre's programme. The guarantor accepts full responsibility for the conduct of the study, had access to the data, and controlled the decision to publish.
Competing interests: None declared.
Ethical approval: The project was approved by the human research ethics committee of the Royal Hobart Hospital.
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