The significant proportion of the Russian population are active online social media users. Changes in alcohol consumption in this target group during the COVID-19 pandemic remain understudied. The aim of this survey was to investigate changes in alcohol consumption and factors associated with the increase in alcohol use among online social media users in Russia during the first months of the COVID-19 pandemic. An online survey was conducted among 1,518 users of online social networking services popular in Russia from June to September 2020. The survey revealed that 35.4% of men and 25.6% of women started drinking more frequently during the first months of the pandemic; 24.9% of men and 17.7% of women increased their usual consumption (volume) of alcohol on a typical drinking occasion, whereas 28.5% of men and 27.9% of women increased the frequency of heavy episodic drinking. Adjusted binary logistic regression analysis revealed a positive association between the increase in the frequency of alcohol consumption and the following factors: age from 18 to 29 years (OR: 1.710; 95% CI: 1.002–2.917), severe restrictions in everyday private life (OR: 3.127; 95% CI: 1.011–9.675) and severe negative professional or financial consequences due to the spread of SARS-CoV-2 (OR: 2.247; 95% CI: 1.131–4.465). The odds of an increase in the frequency of heavy episodic drinking were more than twice higher (OR: 2.329; 95% CI: 1.001–5.428) among those who had experienced severe negative consequences of the pandemic to their professional and financial situation. Higher typical frequency and usual consumption (volume) of alcohol on a typical drinking occasion and higher typical frequency of heavy episodic drinking before the pandemic were positively significantly associated with the increase in these parameters of alcohol consumption during the first months of the pandemic. In times of large-scale epidemics and public health crises, it is advisable to consider the possibility of implementing screening and brief interventions, including via online social media, to prevent problems associated with alcohol use.
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Omics technologies hold great potential as the basis for development of the new diagnostic approaches in obstetrics. Cervicovaginal fluid (CVF) as part of the mother-placenta-fetus system can be used to diagnose obstetric complications. This study aimed to identify the features of lipid composition of the cervical canal secretion peculiar to Intrauterine Growth Restriction (IUGR) and preeclampsia (PE). We took CVF samples from 57 pregnant women and subjected them to an in-depth clinical-anamnestic and mass-spectrometric analysis. Lipid extracts of CVF were analyzed with a liquid chromatography system coupled with a mass analyzer. As a result, we identified 239 lipid compounds. In case of 17 lipids, mathematical analysis revealed significant differences between samples from women with normal pregnancy indicator values (normal group) and patients from the IUGR group (p < 0.05). As for the normal group and PE group patients, there were significant differences identified for 3 lipids (p < 0.05). Comparison of samples from the PE and IUGR groups yielded statistically significant differences in levels of two lipids (p < 0.05). Mainly, the lipids were oxylipins, sphingomyelins, triglycerides, and cardiolipins. The developed diagnostic model had the sensitivity of 0.81 and specificity of 0.91 (cut-off level — 0.50; AUC — 0.85). The data obtained are valuable in the context of development of the new methods of diagnosing placentaassociated complications of pregnancy and for understanding new mechanisms of pathogenesis of these complications.
VIEWS 2173
Traditionally, anthropometric method is used in clinical practice for the diagnosis of excess body weight. Obesity is the excess development of primarily visceral and subcutaneous adipose tissue, which can be diagnosed by bioimpedance analysis (BIA). The study was aimed to assess the role of BIA of body composition in the diagnosis of the physical development disorders in children and adolescents. Anthropometric assessment and BIA were performed in 431 Samara school students aged 12–16 of the health status groups I and II (230 boys and 201 girls). The results were analyzed with the use of the regional regression scores, BAZ indices, and the body fat percentage values. The results of estimation using the regression scores showed that 22.61% of boys and 23.43% of girls were overweight, while more than 2/3 of the sample had a normal pattern of physical development. The BAZ indices revealed a significantly higher proportion of overweight children among boys (25.7%), than among girls (11.5%, p < 0.01). The body fat percentage fluctuations based on the BIA data were found not only in children with disharmonious physical development, but also in 60% of children with normal body weight. Moreover, the data of BIA confirmed the body weight fluctuations, revealed with the use of the regression scores, in the significantly larger number of cases compared to the low body weight and excess body weight, diagnosed based on the BAZ indices. Accordingly, anthropometric analysis with the use of the regional regression scores may be used at the baseline for the early diagnosis of the nutritional status disorders in children. To confirm overweight and obesity in children, as well as to provide further treatment, the reliable method for estimation of the body fat content is required, which may be the method of BIA.
VIEWS 2300