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The aim of this study was to describe temporal trends in socio-demographic and lifestyle characteristics among delivering women in two Northern provinces of Russia from 1973 to 2017. Totally 161,730 births were registered in three birth registries. Changes in the distribution of maternal age, education, marital status, smoking during pregnancy were studied using Pearson's chi-squared tests and one-way ANOVA. The logistic regression models were used to assess factors, contributing to the variations in the prevalence of maternal smoking. The mean age of primiparous mothers increased from 22.1 years in 1973-1980 to 25.4 years in 2012-2017 (p 0.001). The proportion of primiparous mothers with higher education increased from 26.2% in 2006 to 38.3% in 2017 (p 0.001). The proportion of cohabiting primiparous women increased from 5.0% to 15.2% over the study period (p 0.001). The proportion of mothers smoking during pregnancy decreased from 18.9% in 2006-2011 to 14.8% in 2012-2017 (p 0.001). Downward in the prevalence of smoking was revealed in 2012-2017 compared to 2006-2011 (OR = 137.76; 95%CI:71.62-264.96, OR = 183.74; 95%CI:95.52-353.41, respectively). Over the past decades, women postpone childbearing until receiving higher education, continue living in cohabitation during pregnancy and smoke less.

Assessment of the prevalence of the disease or condition should consider the accuracy of the diagnostic tests. In the context of the new coronavirus infection (COVID-19) pandemic, laboratory testing has been one of the most important components of the overall strategy for the control and prevention of this infection. Seroprevalence studies have been used to assess and monitor the level of population immunity to the virus. In this paper we provide detailed description of the methods to calculate and interpret the accuracy of laboratory tests as well as their sensitivity, specificity, positive- and negative prognostic values of laboratory tests using seroprevalence of COVID-19 studies as an example for better understanding of the methodological issues. The use of the laboratory tests accuracy in prevalence studies has been demonstrated. A sample syntax to calculate confidence intervals for the prevalence estimates using the bootstrap procedure with known absolute values of true positive and true negative results, false positive and false negative results for R software is also provided. Presentation of the prevalence estimates adjusted for test performance indicators with confidence intervals improves comparability of the findings obtained using different serological tests. The article is intended for undergraduate-, postgraduate-, and doctoral students in health sciences working with the assessment of the prevalence (seroprevalence) of diseases or conditions through population-based serological surveys.

Congenital anomalies of the kidney and the urinary tract (CAKUTs) are relatively common birth defects. The combined prevalence in Europe was 3.3 per 1000 in 2012. The risk factors for these anomalies are not clearly identified. The aims of our study were to calculate the birth prevalences of urinary malformations in Murmansk County during 2006 to 2011 and to investigate related prenatal risk factors.The Murmansk County Birth Registry was the primary source of information and our study included 50,936 singletons in the examination of structure, prevalence and proportional distribution of CAKUTs. The multivariate analyses of risk factors involved 39,322 newborns.The prevalence of CAKUTs was 4.0 per 1000 newborns (95% confidence interval [CI], 3.4-4.5) and did not change during the study period. The most prevalent malformation was congenital hydronephrosis (14.2% of all cases). Diabetes mellitus or gestational diabetes (odds ratio [OR] = 4.77; 95% CI, 1.16-19.65), acute infections while pregnant (OR = 1.83; 95% CI, 1.14-2.94), the use of medication during pregnancy (OR = 2.03; 95% CI, 1.44-2.82), and conception during the summer (OR = 1.75; 95% CI 1.15-2.66) were significantly associated with higher risk of CAKUTs.The overall fourfold enhancement of the occurrence of urinary malformations in Murmansk County for the 2006 to 2011 period showed little annual dependence. During pregnancy, use of medications, infections, pre-existing diabetes mellitus, or gestational diabetes were associated with increased risk of these anomalies, as was conception during summer. Our findings have direct applications in improving prenatal care in Murmansk County and establishing targets for prenatal screening and women's consultations.

Background Prenatal diagnostics ultrasound was established in Russia in 2000 as a routine method of screening for birth defects. The aims of the current study were twofold: to assess changes in birth defects prevalence at birth and perinatal mortality after ultrasound screening was implemented and to estimate prenatal detection rates for congenital malformations in the city of Monchegorsk (Murmansk County, North-West Russia). Methods The Murmansk County Birth Registry and the Kola Birth Registry were the primary sources of information, and include 30 448 pregnancy outcomes in Monchegorsk for the period 1973–2011. Data from these registries were supplemented with information derived from hospital records about pregnancy terminations for 2000–2007. Results The total number of newborns with any kind of birth defects in Monchegorsk during 1973–2011 was 1099, of whom 816 were born in the 1973–2000 period. The prevalence of defects at birth increased from 34.2/1000 (95 % CI = 31.9-36.5) to 42.8/1000 newborns (95 % CI = 38.0-47.7) after prenatal ultrasound screening was formally implemented. We observed significant decreases (p