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• W2904275459 abstract "Abstract Background Lower levels of sun exposure in childhood have been suggested to be associated with increased risk of multiple sclerosis (MS). In this paper we extend previous work, using two novel analytical strategies. Methods Data collected in the Environmental risk factors In MS (EnvIMS) study, a case-control study with MS cases and population-based controls from Canada, Italy and Norway, were used. Participants reported on sun exposure behaviours for 5-year age intervals from birth; we focused on the first three age intervals (≤15 years). We compared two life course epidemiology conceptual models, the critical period and the accumulation model. We also used latent class analysis to estimate MS risk for different latent sun exposure behaviour groups. Results The analyses included 2251 cases and 4028 controls. The accumulation model was found to be the best model, which demonstrated a nearly 50% increased risk of MS comparing lowest reported summer sun exposure with highest [risk ratio (RR) = 1.47 (1.24, 1.74)]. The latent sun exposure behaviour group, characterized by low sun exposure during summer and winter and high sun protection use, had the highest risk of MS; a 76% increased risk as compared with the group with high sun exposure and low sun protection use [RR = 1.76 (1.27, 2.46)]. Conclusions Our analyses provide novel insights into the link between sun exposure and MS. We demonstrate that more time indoors during childhood and early adolescence is linked with MS risk, and that sun protection behaviours in those who spend most time indoors may play a key role in increasing risk." @default.
• W2904275459 created "2018-12-22" @default.
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• W2904275459 date "2018-12-18" @default.
• W2904275459 modified "2023-10-15" @default.
• W2904275459 title "Shedding light on the link between early life sun exposure and risk of multiple sclerosis: results from the EnvIMS Study" @default.
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• W2904275459 doi "https://doi.org/10.1093/ije/dyy269" @default.
• W2904275459 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6693814" @default.
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