Cited by 718Multiple Sclerosis Research StudiesPsoriasis: Treatment and PathogenesisClimate Change and Health Impacts

Latitude is significantly associated with the prevalence of multiple sclerosis: a meta-analysis

Open access
Simpson, S., Blizzard, L., Otahal, P., Van der Mei, I., Taylor, B.·2011·Journal of Neurology, Neurosurgery & Psychiatry

Abstract

BACKGROUND: There is a striking latitudinal gradient in multiple sclerosis (MS) prevalence, but exceptions in Mediterranean Europe and northern Scandinavia, and some systematic reviews, have suggested that the gradient may be an artefact. The authors sought to evaluate the association between MS prevalence and latitude by meta-regression. METHODS AND FINDINGS: Studies were sourced from online databases, reference mining and author referral. Prevalence estimates were age-standardised to the 2009 European population. Analyses were carried out by means of random-effects meta-regression, weighted with the inverse of within-study variance. The authors included 650 prevalence estimates from 321 peer-reviewed studies; 239 were age-standardised, and 159 provided sex-specific data. The authors found a significant positive association (change in prevalence per degree-latitude) between age-standardised prevalence (1.04, p<0.001) and latitude that diminished at high latitudes. Adjustment for prevalence year strengthened the association with latitude (2.60, p<0.001). An inverse gradient in the Italian region reversed on adjustment for MS-associated HLA-DRB1 allele distributions. Adjustment for HLA-DRB1 allele frequencies did not appreciably alter the gradient in Europe. Adjustment for some potential sources of bias did not affect the observed associations. CONCLUSION: This, the most comprehensive review of MS prevalence to date, has confirmed a statistically significant positive association between MS prevalence and latitude globally. Exceptions to the gradient in the Italian region and northern Scandinavia are likely a result of genetic and behavioural-cultural variations. The persistence of a positive gradient in Europe after adjustment for HLA-DRB1 allele frequencies strongly supports a role for environmental factors which vary with latitude, the most prominent candidates being ultraviolet radiation (UVR)/vitamin D.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/jnnp.2011.240432

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A north to south decrease in multiple sclerosis prevalence by latitude gradient has been recognised in North America and western Europe, and a reverse south to north increase in gradient has been reported in Australia.

    “A north to south decrease in prevalence by latitude gradient has been recognised in North America and western Europe,28, 29 and a reverse south to north increase in gradient has been reported in Australia.28”

    From Global, regional, and national burden of multiple sclerosis 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016 (2019) · cites this paper as [28]

    The Regional analyses section supports the north-to-south decrease in North America and Western Europe: it reports a positive prevalence gradient with latitude in both. But it also reports a positive gradient in Australasia, meaning prevalence increases toward the south, not from south to north as the citing sentence says for Australia. Our copy does not give a page number for this passage. (LLM, conf=0.84)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • Geographical location before onset of multiple sclerosis remains a risk factor for acquisition.

    “Geographical location before onset of multiple sclerosis remains a risk factor for acquisition.28”

    From Global, regional, and national burden of multiple sclerosis 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016 (2019) · cites this paper as [28]

    The Global analyses section reports a significant association between latitude and MS prevalence, supporting a geographical pattern. But the paper does not establish that a person's location before onset is itself a risk factor for acquiring MS; it analyses population prevalence rather than individuals' pre-onset locations or acquisition risk. No page number was available in our copy. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 31

  1. Kurtzke JF. General features on the prevalence of multiple sclerosis. J Indian Med Prof 1964;11:4896e901.
  2. Kurtzke JF. A reassessment of the distribution of multiple sclerosis. Acta Neurol Scand 1975;51:137e57.
  3. Rosati G. The prevalence of multiple sclerosis in the world: an update. Neurol Sci 2001;22:117e39.
  4. Alonso A, Hernan MA. Temporal trends in the incidence of multiple sclerosis: a systematic review. Neurology 2008;71:129e35.
  5. Koch-Henriksen N, Sørensen PS. The changing demographic pattern of multiple sclerosis epidemiology. Lancet Neurol 2010;9:520e32.
  6. Hammond SR, McLeod JG, Millingen KS, et al. The epidemiology of multiple sclerosis in three Australian cities: Perth, Newcastle and Hobart. Brain 1988;111:1e25.
  7. Taylor B, Pearson JF, Clarke G, et al. MS prevalence in New Zealand, an ethnically and latitudinally diverse country. Mult Scler 2010;16:1422e31.
  8. Kuroiwa Y, Shibasaki H, Ikeda M. Prevalence of multiple sclerosis and its north-to- south gradient in Japan. Neuroepidemiology 1983;2:62e9.
  9. Vukusic S, Van Bockstael V, Gosselin S, et al. Regional variations in the prevalence of multiple sclerosis in French farmers. J Neurol Neurosurg Psychiatry 2007;78:707e9.
  10. Kurtzke JF, Beebe GW, Norman JE Jr. Epidemiology of multiple sclerosis in US veterans: 1. Race, sex, and geographic distribution. Neurology 1979;29:1228e35.
  11. Melcon MO, Gold L, Carra A, et al. Argentine Patagonia: prevalence and clinical features of multiple sclerosis. Mult Scler 2008;14:656e62.
  12. Poppe AY, Wolfson C, Zhu B. Prevalence of multiple sclerosis in Canada: a systematic review. Can J Neurol Sci 2008;35:593e601.
  13. Grønlie SA, Myrvoll E, Hansen G, et al. Multiple sclerosis in North Norway, and first appearance in an indigenous population. J Neurol 2000;247:129e33.
  14. van der Mei IA, Ponsonby AL, Dwyer T, et al. Past exposure to sun, skin phenotype, and risk of multiple sclerosis: caseecontrol study. BMJ 2003;327:316.
  15. Tremlett H, van der Mei IA, Pittas F, et al. Monthly ambient sunlight, infections and relapse rates in multiple sclerosis. Neuroepidemiology 2008;31:271e9.
  16. Simpson S Jr, Taylor B, Blizzard L, et al. Higher 25-hydroxyvitamin D is associated with lower relapse risk in MS. Ann Neurol 2010;68:193e203.
  17. Middleton D, Menchaca L, Rood H, et al. Tissue antigens 2003;61:403e07. New Allele Frequency Database. http://www.allelefrequencies.net.
  18. Einarsdottir E, Egerbladh I, Beckman L, et al. The genetic population structure of northern Sweden and its implications for mapping genetic diseases. Hereditas 2007;144:171e80.
  19. de Graaf AS. Multiple sclerosis in northern Norway. Eur Neurol 1974;11:281e95.
  20. Grønning M, Mellgren SI. Multiple sclerosis in the two northernmost counties of Norway. Acta Neurol Scand 1985;72:321e7.
  21. Kampman MT, Brustad M. Vitamin D. A candidate for the environmental effect in multiple sclerosisdobservations from Norway. Neuroepidemiology 2008;30:140e6.
  22. Freisling H, Fahey MT, Moskal A, et al. Region-specific nutrient intake patterns exhibit a geographical gradient within and between European countries. J Nutr 2010;140:1280e6.
  23. Brustad M, Alsaker E, Engelsen O, et al. Vitamin D status of middle-aged women at 65e71 degrees N in relation to dietary intake and exposure to ultraviolet radiation. Public Health Nutr 2004;7:327e35.
  24. Burgaz A, Akesson A, Oster A, et al. Associations of diet, supplement use, and ultraviolet B radiation exposure with vitamin D status in Swedish women during winter. Am J Clin Nutr 2007;86:1399e404.
  25. Brustad M, Sandanger T, Aksnes L, et al. Vitamin D status in a rural population of northern Norway with high fish liver consumption. Public Health Nutr 2004;7:783e9.
  26. Elmadfa I, Weichselbaum E. Energy and Nutrient Intake in the European Union. European Nutrition And Health Report 2004 (Forum of Nutrition/Bibliotheca Nutritio Et Dieta). Vienna: Karger, 2005.
  27. Brustad M, Edvardsen K, Wilsgaard T, et al. Seasonality of UV-radiation and vitamin D status at 69 degrees north. Photochemical Photobiol Sci 2007;6:903e8. Official journal of the European Photochemistry Association and the European Society for Photobiology.
  28. Munger KL, Levin LI, Hollis BW, et al. Serum 25-hydroxyvitamin D levels and risk of multiple sclerosis. JAMA 2006;296:2832e8.
  29. Munger KL, Zhang SM, O'Reilly E, et al. Vitamin D intake and incidence of multiple sclerosis. Neurology 2004;63:939.
  30. Handel AE, Handunnetthi L, Giovannoni G, et al. Genetic and environmental factors and the distribution of multiple sclerosis in Europe. Eur J Neurol 2010;17:1210e14.
  31. Orton SM, Herrera BM, Yee IM, et al. Sex ratio of multiple sclerosis in Canada: a longitudinal study. Lancet Neurol 2006;5:932e6. clinicians • medical students • nurses • healthcare practitioners

Cited by

Sorted by citations

Authors
Simpson, S., Blizzard, L., Otahal, P., Van der Mei, I., & Taylor, B.
Affiliations
University of Tasmania (AU)
Corresponding author
Taylor, B.
Venue
Journal of Neurology, Neurosurgery & Psychiatry
Publisher
BMJ
Published
2011-04-08
Volume
82
Issue
10
Pages
1132-1141
ISSN
0022-3050 (ISSN-L)
OpenAlex
W2103529868
Cited by
718
References
2
Citations by year
2026: 19 · 2025: 27 · 2024: 36 · 2023: 37 · 2022: 33 · 2021: 60 · 2020: 64 · 2019: 55 · 2018: 50 · 2017: 48 · 2016: 59 · 2015: 62 · 2014: 61 · 2013: 52 · 2012: 37
FWCI
6.71
Type
journal article
Language
en
Open access
Locations
  • Journal of Neurology Neurosurgery & Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (acceptedVersion)
  • eCite Digital Repository (University of Tasmania) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
  • Kaiser Permanente
  • Georgetown University
  • University of Cambridge
  • Cardiff University
  • Università di Catania
  • Universitetet i Bergen
  • Hokkaido University
  • Syddansk Universitet
  • Changhua Christian Hospital
  • Haukeland Universitetssjukehus
  • Centers for Disease Control and Prevention
  • National Health and Medical Research Council
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
Keywords
multiple sclerosis, disease prevalence, latitude, latitudinal gradient, HLA-DRB1 alleles, ultraviolet radiation, vitamin D, environmental risk factors, age-standardized prevalence, sex differences in prevalence, Italy, northern Scandinavia
MeSH terms
Alleles, Cross-Sectional Studies, Cross-Cultural Comparison, Europe, Gene Frequency, HLA-DR Antigens, Humans, Multiple Sclerosis, North America, Risk Factors, Ultraviolet Rays, Incidence, Topography, Medical, Genetic Predisposition to Disease, Australasia, HLA-DRB1 Chains

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review