Seasonal variation in month of diagnosis in children with type 1 diabetes registered in 23 European centers during 1989-2008: little short-term influence of sunshine hours or average temperature
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, multicentrická studie
Grantová podpora
MR/K023241/1
Medical Research Council - United Kingdom
MR/L01629X/1
Medical Research Council - United Kingdom
PubMed
25316271
DOI
10.1111/pedi.12227
Knihovny.cz E-zdroje
- Klíčová slova
- epidemiology, seasonality, sunshine, temperature, temporal change, type 1 diabetes mellitus,
- MeSH
- diabetes mellitus 1. typu diagnóza MeSH
- dítě MeSH
- fotoperioda MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- předškolní dítě MeSH
- registrace * MeSH
- roční období * MeSH
- teplota MeSH
- Check Tag
- dítě MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- Geografické názvy
- Evropa MeSH
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.
Centre of Excellence for Public Health Northern Ireland Queen's University Belfast Belfast UK
Department for Epidemiology and Health Care Research Technical University of Dresden Dresden Germany
Department of Clinical Science University of Umeå Umeå Sweden
Department of Endocrinology and Diabetes University Children's Hospital Podgorica Montenegro
Department of Endocrinology and Diabetology University Children's Hospital Zurich Switzerland
Department of Endocrinology and Genetics University Children's Hospital Skopje Macedonia
Department of Paediatric Diabetes and Endocrinology Centre Hospitalier de Luxembourg Luxembourg
Department of Paediatrics Herlev University Hospital Copenhagen Denmark
Department of Paediatrics Pécs University Pecs Hungary
Department of Paediatrics University Hospital Sestre Milosrdnice Zagreb Croatia
Department of Pediatric and Adolescent Medicine Medical University of Vienna Vienna Austria
Department of Pediatrics Endocrinology and Diabetes Medical University of Silesia Katowice Poland
Department of Pediatrics Ullevål University Hospital Oslo Norway
Department of Pediatrics University Children's Hospital Ljubljana Slovenia
Diabetes Research Center Brussels Free University Vrije Universiteit Brussel Brussels Belgium
Institute of Endocrinology Lithuanian University of Health Science Kaunas Lithuania
Leeds Institute of Genetics Health and Therapeutics University of Leeds Leeds UK
Odense Patient data Exploratory Network University of Southern Denmark Odense Denmark
Pediatric Endocrinology and Diabetes University Children's Hospital Tübingen Germany
Public Health Agency Department of Health Government of Catalonia Barcelona Spain
School of Clinical Sciences University of Bristol Bristol UK
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