ArticleDiabetologia2007
Seasonality of birth in children and young adults (0-29 years) with type 1 diabetes in Ukraine.
Article in Diabetologia, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 61 citations in OpenAlex.
- Evaluation of distinct and similar pathological features between diabetes and Alzheimer's disease.EXCLI journal · 2026Review
- Type 1 Diabetes Incidence Trends in a Cohort of Turkish Children and Youth.Turkish archives of pediatrics · 2023Article
- Seasonal variation in gut microbiota composition: cross-sectional evidence from Ukrainian population.BMC microbiology · 2020Article
- The heterogeneous pathogenesis of type 1 diabetes mellitus.Nature reviews. Endocrinology · 2019Review
- Type 1 diabetes.Lancet (London, England) · 2018Review
- Multifactorial analysis of the stochastic epigenetic variability in cord blood confirmed an impact of common behavioral and environmental factors but not of in vitro conception.Clinical epigenetics · 2018Article
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- Type 1 diabetes: A predictable disease.World journal of diabetes · 2015Review
- Maternal vitamin D deficiency during pregnancy results in insulin resistance in rat offspring, which is associated with inflammation and Iκbα methylation.Diabetologia · 2014Article
- Neonatal exposure to permethrin pesticide causes lifelong fear and spatial learning deficits and alters hippocampal morphology of synapses.Journal of neurodevelopmental disorders · 2014Article
- The role of vitamin d deficiency in the incidence, progression, and complications of type 1 diabetes mellitus.International journal of endocrinology · 2013Article
- Short and long term variation in ultraviolet radiation and multiple sclerosis.International journal of environmental research and public health · 2012Article
- Maternal vitamin D status during pregnancy and body composition and cardiovascular risk markers in Indian children: the Mysore Parthenon Study.The American journal of clinical nutrition · 2011Article
- Differential effects of prenatal and postnatal nutritional environment on ß-cell mass development and turnover in male and female rats.Endocrinology · 2010Article
- Epidemiology of type 1 diabetes.Endocrinology and metabolism clinics of North America · 2010Review
- Vitamin D and diabetes.The Journal of steroid biochemistry and molecular biology · 2010Review
- Seasonality of birth in adult type 2 diabetic patients in three Ukrainian regions.Diabetologia · 2009Article
- Association of type 1 diabetes with month of birth among U.S. youth: The SEARCH for Diabetes in Youth Study.Diabetes care · 2009Article
- A fingerprint marker from early gestation associated with diabetes in middle age: the Dutch Hunger Winter Families Study.International journal of epidemiology · 2009Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisNumerous epidemiological studies have shown differences in seasonality of birth patterns between the general population and the group who develop type 1 diabetes mellitus. This finding indicates that environmental factors operating during pre- and/or postnatal development could be aetiologically important. We examined whether the pattern of month of birth for type 1 diabetes patients in Ukraine differs from that for total live births.
methodsData consist of prevalent cases of type 1 diabetes in Ukraine by the end of 2003. Cases are restricted to persons born after 1 January 1960, diagnosed with type 1 diabetes before the age of 30 years (n = 20,117). People born during the same time in the general population (n = 29,105,560) were the reference standard. Seasonal patterns were estimated using logistic regression with harmonic terms.
resultsWe found a strongly significant seasonal pattern of type 1 diabetes incidence rates (p < 0.001), with the lowest rates in December and the highest in April. The rate ratio between the extremes was 1.32 (95% CI 1.27-1.39). Tests for seasonal patterns in subgroups defined by sex and age or by sex and date of birth were all significant with p values less than 0.02. We found no interactions with sex (p = 0.142) or age at diagnosis (p = 0.207), but found a strong interaction with period of birth (p < 0.0001). CONCLUSIONS/
interpretationThe results obtained indicate that early-life factors linked to seasons may influence type 1 diabetes risk later in life.
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