Seasonality Of Birth In Children Research Articles

Seasonality of birth affects paediatric coeliac disease.

This study investigated the seasonality of birth in children diagnosed with coeliac disease (CD) at a tertiary University hospital in Southern Israel. This was a population-based retrospective time series analysis study from January 1988 to December 2014. There were 308 903 live births at Soroka University Medical Centre during the study period and 699 were diagnosed with CD. We combined three databases covering births, CD diagnoses and weather indices. The daily proportion of births that resulted in CD for the different four seasons and high seasons were compared to the weather indices on the day of birth using negative binomial regression. Statistically significant associations were found between the season of birth and the rate of CD, with autumn births being associated with a higher risk for the development of CD than births during the summer, with an incidence ratio of 1.22. The association was further increased when the defined summer and autumn high seasons were used, with an incidence ratio of 1.40. No association was found between CD and the mean temperature and global radiation. Coeliac disease was associated with birth during the autumn and the autumn high season posed an even more significant risk factor.

Risk of primary childhood brain tumors related to season of birth in Kumamoto Prefecture, Japan

Environmental factors present around the time of birth may induce the development of childhood cancer. Some studies suggested an excess of brain tumors in children born during the winter months. The aim of this study was to look for evidence of the seasonality of birth in children who were younger than 15 years at the time of brain tumor diagnosis in the Kumamoto Prefecture, Japan. We surveyed 115 patients younger than 15 years who were diagnosed with primary intracranial tumors. All patients were born between 1989 and 2003. We found a statistically significant difference between the season of their birth and the expected distribution of birth dates in the Kumamoto Prefecture (p = 0.028). Among the different diagnostic groups there was a statistically significant winter peak in the birth of patients with germ cell tumor (p = 0.001). No statistically significant seasonal patterns were detected in the birth season of patients with astrocytoma, malignant glioma, and medulloblastoma. Although our data provide modest support for a winter peak in the birth of children with brain tumors, we posit that there may be yet unknown, complex biological mechanisms that account for these putative seasonal patterns.

Seasonality of birth in children with central nervous system tumours in Denmark, 1970-2003.

We investigated possible seasonal variation of births among children <20 years with a central nervous system tumour in Denmark (N=1640), comparing them with 2 582 714 children born between 1970 and 2003. No such variation was seen overall, but ependymoma showed seasonal variation.

Seasonality of birth in children and young adults (0–29 years) with type 1 diabetes in Ukraine

Seasonality of birth in children and young adults (0–29 years) with type 1 diabetes in Ukraine

Seasonality of birth in children and young adults (0–29 years) with type 1 diabetes in Ukraine

Numerous 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. Data 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. We 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). The results obtained indicate that early-life factors linked to seasons may influence type 1 diabetes risk later in life.

Role of seasonal factors in pre-and postnatal ontogenesis in etiology of type 1 diabetes mellitus

Type 1 diabetes mellitus is a chronic disease characterized by autoimmune degradation of insulin-producing beta-cells. It was shown in a number of epidemiological studies of seasonality of birth in children with type 1 diabetes that the autoimmune process began during fetal and postnatal development. No such studies were carried out in the former Soviet Union countries. The aim of the present study is to compare the seasonal birth month pattern in patients with type 1 diabetes (10780 men and 9337 women) born in 1960-2002 to that in the total population of Ukraine (14 785601 men and 13 911370 women) born during the same period. Significant differences were found between these two populations: chi-squared = 103.97, p < 0.0001 and 135.17, p < 0.0001 in men and women, respectively. The results of cosinor analysis showed similar sinusoidal birth patterns of patients with type 1 diabetes in all sub-groups, irrespective of the age of clinical disease expression: 0-9, 10-19, or 20-29 years. In all cases, the highest and lowest predispositions to type 1 diabetes were inherent in the people born in spring and autumn, respectively. We propose that seasonal differences in the birth pattern in the two above populations could be due to long-term programming of glucose-insulin metabolism determined by the effect of certain seasonal factors during early ontogenesis.

No seasonality of birth in children with type 1 diabetes mellitus in Ankara, Turkey.

No seasonality of birth in children with type 1 diabetes mellitus in Ankara, Turkey.

Seasonality of birth in children (0-14 years) with type 1 diabetes mellitus in Slovenia.

The aim of this study was to find out whether there is seasonality of month of birth of children with diabetes in Slovenia and if so whether it differs from that of the general population. A cohort of 849 children and adolescents (0-14 years) with type 1 diabetes mellitus born between 1956 and 1998 were included in the study. Monthly and seasonal patterns of birth of the patients with diabetes were compared with the pattern of normal live births (n = 1,345,921) and the pattern of disease onset. Statistical analysis was made using Student's t-test to compare the means between the four seasons of the year, and single cosinor analysis for a period of 12 months. The children and adolescents with diabetes had a statistically significant different seasonality of month of birth compared to that of the general population, and an opposite pattern from the seasonality of month of onset of disease. The observations made are in accordance with observations made recently in other countries and support the hypothesis that a virus infection transmitted by the mother to the fetus during the annual viral epidemic induces the autoimmune process in the pancreatic beta-cells in genetically susceptible individuals who will subsequently develop clinical diabetes during childhood.

Seasonality of birth in children (0-14 years) and young adults (0-29 years) with type 1 diabetes mellitus in Sardinia differs from that in the general population. The Sardinian Collaborative Group for Epidemiology of IDDM.

A cohort of 1,118 children (0-14 years) and 810 adolescents and young adults (15-29 years) with type 1 diabetes mellitus (DM) diagnosed in Sardinia between 1989 and 1998 were analyzed for seasonality of month of birth, and compared to the pattern registered in 314,084 live births. Patients with DM of both age groups had a statistically significant different seasonality pattern from the general population, revealing an increased birth rate during the summer months, a mirror image of the seasonality of onset of disease.

Seasonality of birth in children (0-14 years) with diabetes mellitus type 1 in Baden-Wuerttemberg, Germany.

The aim of the study was to find out whether children with diabetes type 1 in Baden-Wuerttemberg present a pattern of seasonality in their month of birth. A cohort of 1,184 children and adolescents (0-14 years) diagnosed as having diabetes between January 1st, 1987 and June 30th, 1997 were included in the study. Monthly and seasonal patterns of birth of patients with diabetes were compared with the pattern of normal live births (n = 2,724,746) during the years 1972-1997 and the seasonality of onset of disease. Statistical analysis was made using Student's t-test to compare the means between four yearly seasons and single cosinor analysis for a period of 12 months. The children and adolescents with diabetes had a significantly different seasonality in month of birth pattern from that registered in the general population, demonstrating fewer births during the months April-June and July-September. This seasonality pattern also differs from those registered in Israel, Sardinia and Slovenia, in which the population with diabetes type 1 had most births during these months.

Seasonality of birth in children with diabetes in Europe: multicentre cohort study

There is increasing evidence that environmental factors in early life, particularly viral infections, influence the risk of developing type 1 (insulin dependent) diabetes.1 The high incidence of diabetes in the...