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Publisher: Wiley
Languages: English
Types: Article
Background: The month of diagnosis in childhood type 1 diabetes shows seasonal variation. Objective: We describe the pattern and investigate if year-to-year irregularities are associated with meteorological factors using data from 50 000 children diagnosed under the age of 15 yr in 23 population-based European registries during 1989–2008. Methods: Tests for seasonal variation in monthly counts aggregated over the 20 yr period were performed. Time series regression was used to investigate if sunshine hour and average temperature data were predictive of the 240 monthly diagnosis counts after taking account of seasonality and long term trends. Results: Significant sinusoidal pattern was evident in all but two small centers with peaks in November to February and relative amplitudes ranging from ±11 to ±38% (median ±17%). However, most centers showed significant departures from a sinusoidal pattern. Pooling results over centers, there was significant seasonal variation in each age-group at diagnosis, with least seasonal variation in those under 5 yr. Boys showed greater seasonal variation than girls, particularly those aged 10–14 yr. There were no differences in seasonal pattern between four 5-yr sub-periods. Departures from the sinusoidal trend in monthly diagnoses in the period were significantly associated with deviations from the norm in average temperature (0.8% reduction in diagnoses per 1 °C excess) but not with sunshine hours. Conclusions: Seasonality was consistently apparent throughout the period in all age-groups and both sexes, but girls and the under 5 s showed less marked variation. Neither sunshine hour nor average temperature data contributed in any substantial way to explaining departures from the sinusoidal pattern.
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    • Lévy-Marchal C, Patterson C, Green A (1995) Variation by age group and seasonality at diagnosis of childhood
    • IDDM in Europe. The EURODIAB ACE Study Group. Diabetologia 38:823 830
    • Moltchanova EV, Schreier N, Lammi N, Karvonen M (2009) Seasonal variation of diagnosis of Type 1 diabetes
    • mellitus in children worldwide. Diabet Med 26:673 678
    • The DIAMOND Project Group (2006) Incidence and trends of childhood Type 1 diabetes worldwide 1990 1999.
    • Diabet Med 23:857 866
    • Patterson CC, Gyürüs E, Rosenbauer J, et al (2012) Trends in childhood type 1 diabetes incidence in Europe during
    • 1989-2008: evidence of non-uniformity over time in rates of increase. Diabetologia 2012;55:2142 2147
    • Mooney JA, Helms PJ, Jolliffe IT, Smail P; Scottish Study Group for the Care of Diabetes in the Young (2004)
    • Seasonality of type 1 diabetes mellitus in children and its modification by weekends and holidays: retrospective
    • observational study. Arch Dis Child 89: 970 973
    • Dahlquist G, Mustonen L (1994) Childhood onset diabetes - time trends and climatological factors. Int J Epidemiol
    • Hyppönen E (2010) Vitamin D and increasing incidence of type 1 diabetes evidence for an association? Diabetes
    • Obes Metab 12:737 743
    • Wolden-Kirk H, Overbergh L, Christesen HT, Brusgaard K, Mathieu C (2011) Vitamin D and diabetes: its
    • importance for beta cell and immune function. Mol Cell Endocrinol 347:106 120
    • Chakhtoura M, Azar ST (2013) The role of vitamin D deficiency in the incidence, progression, and complications
    • of type 1 diabetes mellitus. Int J Endocrinol 2013:148673
    • 10. Grassly NC, Fraser C (2006) Seasonal infectious disease epidemiology. Proc Biol Sci 273:2541 2550
    • 11. Hii YL, Rocklov J, Ng N (2011) Short term effects of weather on hand, foot and mouth disease. PLoS One 6:e16796
    • 12. Stene LC, Rewers M (2012) Immunology in the clinic review series; focus on type 1 diabetes and viruses: the enterovirus link to type 1 diabetes: critical review of human studies. Clin Exp Immunol 168:12 23
    • 13. Suarez L, Barrett-Connor E (1982) Seasonal variation in fasting plasma glucose levels in man. Diabetologia 22:250 253
    • 14. Wasmuth HE, Hess G, Viergutz C, Henrichs HR, Martin S, Kolb H (2000) Non-specific viral infections as possible synchronising events of the manifestation of type 1 diabetes. Diabetes Metab Res Rev 16:177 178
    • 15. Green A, Gale EAM, Patterson CC (1992) Incidence of childhood-onset insulin-dependent diabetes mellitus: the EURODIAB ACE study. Lancet 339:905 909
    • 16. Edwards JH (1961) The recognition and estimation of cyclic trends. Ann Hum Genet 25:83 87
    • 17. Bhaskaran K, Gasparrini A, Hajat S, Smeeth L, Armstrong B (2013) Time series regression studies in environmental epidemiology. Int J Epidemiol 42:1187 1195
    • 18. Schwartz J, Spix C, Touloumi G, et al (1996) Methodological issues in studies of air pollution and daily counts of deaths or hospital admissions. J Epidemiol Community Health 50(Suppl 1):S3 S11
    • 19. Bhaskaran K, Hajat S, Haines A, Herrett E, Wilkinson P, Smeeth L (2010) Short term effects of temperature on risk of myocardial infarction in England and Wales: time series regression analysis of the Myocardial Ischaemia National Audit Project (MINAP) registry. BMJ 341:c3823
    • 20. Gillespie KM, Gale EA, Bingley PJ (2002) High familial risk and genetic susceptibility in early onset childhood diabetes. Diabetes 51:210 214
    • 21. Gorham ED, Garland CF, Burgi AA, et al (2012) Lower prediagnostic serum 25-hydroxyvitamin D concentration is associated with higher risk of insulin-requiring diabetes: a nested case-control study. Diabetologia 55:3224 3227
    • 22. Munger KL, Levin LI, Massa J, Horst R, Orban T, Ascherio A (2013) Preclinical serum 25-hydroxyvitamin D levels and risk of type 1 diabetes in a cohort of US military personnel. Am J Epidemiol 177:411-419
    • 23. Zipitis CS, Akobeng AK (2008) Vitamin D supplementation in early childhood and risk of type 1 diabetes: a systematic review and meta-analysis. Arch Dis Child 93:512 517
    • 24. Stene LC, Joner G and the Norwegian Childhood Diabetes Study Group (2003) Use of cod liver oil during the first year of life is associated with lower risk of childhood-onset type 1 diabetes: a large, population-based, case-control study. Am J Clin Nutr 78:1128 1134
    • 25. Pozzilli P, Manfrini S, Crinò A, et al (2005) Low levels of 25-hydroxyvitamin D3 and 1,25-dihydroxyvitamin D3 in patients with newly diagnosed type 1 diabetes. Horm Metab Res 37:680 683
    • 26. Borkar VV, Devidayal, Verma S, Bhalla AK (2010) Low levels of vitamin D in North Indian children with newly diagnosed type 1 diabetes. Pediatr Diabetes 11:345 350
    • 27. Greer RM, Portelli SL, Hung BSM, et al (2013) Serum vitamin D levels are lower in Australian children and adolescents with type 1 diabetes than in children without diabetes. Pediatr Diabetes 14:31 41
    • 28. Bin-Abbas BS, Jabari MA, Issa SD, Al-Fares AH, Al-Muhsen S (2011) Vitamin D levels in Saudi children with type 1 diabetes. Saudi Med J 32:589 592
    • 29. Bener A, Alsaied A, Al-Ali M, et al (2009) High prevalence of vitamin D deficiency in type 1 diabetes mellitus and healthy children. Acta Diabetol 46:183 199
    • 30. Thorsen SU, Mortensen HB, Carstensen B, et al (2013) No difference in vitamin D levels between children newly diagnosed with type 1 diabetes and their healthy siblings: a 13-year nationwide Danish study. Diabetes Care 36:e157 e158
    • 31. Sloka S, Grant M, Newhook LA (2010) The geospatial relation between UV solar radiation and type 1 diabetes in Newfoundland. Acta Diabetol 47:73 78
    • 32. Elliott JC, Lucas RM, Clements MS, Bambrick HJ (2010) Population density determines the direction of the association between ambient ultraviolet radiation and type 1 diabetes incidence. Pediatr Diabetes 11: 394 402.
    • 33. Jones G (2008) Pharmacokinetics of vitamin D toxicity. Am J Clin Nutr 88:582S-586S.
    • 34. Kasahara AK, Singh RJ, Noymer A (2013) Vitamin D (25OHD) serum seasonality in the United States. PLoS One 8:e65785.
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