Global socio-economic crises, new pandemics, climate disasters, and other large-scale factors create an unfavorable background for humanity, often involving painful processes that lead to significant changes in personality and the social situation of development. Students, as they navigate personal and professional development during their university education, determine their life prospects and societal roles for many years to come. A normative age crisis, combined with everyday and global stresses, can lead to adverse consequences such as high anxiety, depression, post-traumatic stress disorders, other emotional and behavioral problems, and social maladjustment. The issue of coping strategies that help students effectively manage stress becomes increasingly relevant. The review included 75 full-text Russian and English papers, mainly from 2019–2024, sourced from bibliographic databases such as Elibrary, Google Scholar, and PubMed. The analysis included articles where the participants were aged 17–25, primarily students. The analysis of theoretical and empirical studies allowed us to systematize the types of students' stressors and the specifics of coping strategies. It is important to distinguish whether coping is a response to a specific stressor (situational coping) or if its use is related to an individual's personality traits (dispositional coping). Additionally, it is informative to consider socio-demographic characteristics such as the gender of participants, year, and field of education, which help to identify additional factors associated with the use of different coping strategies. The choice of effective or ineffective coping strategies is characterized by different relationships between stress, existing emotional problems (such as anxiety and depression), and mental toughness (adaptive resource). Thus, a scientifically based approach to effective coping strategies for students, with detailed consideration of perceived stress, mental toughness, the level of emotional problems, and demographic factors, can be considered the most relevant theoretical model.

In the contemporary high-tech society, spatial abilities predict individual life and professional success, especially in the STEM (Science, Technology, Engineering, and Mathematics) disciplines. According to neurobiological hypotheses, individual differences in cognitive abilities may be attributed to the functioning of genes involved in the regulation of neurogenesis and synaptic plasticity. In addition, genome-wide association studies identified rs17070145 located in the KIBRA gene, which was associated with individual differences in episodic memory. Considering a significant role of genetic and environmental components in cognitive functioning, the present study aimed to estimate the main effect of NGF (rs6330), NRXN1 (rs1045881, rs4971648), KIBRA (rs17070145), NRG1 (rs6994992), BDNF (rs6265), GRIN2B (rs3764030), APOE (rs7412, rs429358), and SNAP25 (rs363050) gene polymorphisms and to assess the effect of gene-environment interactions on individual differences in spatial ability in individuals without cognitive decline aged 18–25 years (N = 1011, 80 % women). Spatial abilities were measured using a battery of cognitive tests including the assessment of “3D shape rotation” (mental rotation). Multiple regression analysis, which was carried out in the total sample controlling for sex, ethnicity and the presence of the “risk” APOE ε4 allele, demonstrated the association of the rs17070145 Т-allele in the KIBRA gene with enhanced spatial ability (β = 1.32; pFDR = 0.037) compared to carriers of the rs17070145 CC-genotype. The analysis of gene-environment interactions revealed that nicotine smoking (β = 3.74; p = 0.010) and urban/rural residency in childhood (β = –6.94; p = 0.0002) modulated the association of KIBRA rs17070145 and АРОЕ (rs7412, rs429358) gene variants with individual differences in mental rotation, respectively. The data obtained confirm the effect of the KIBRA rs17070145 Т-allele on improved cognitive functioning and for the first time evidence the association of the mentioned genetic variant with spatial abilities in humans. A “protective” effect of the APOE ε2 allele on enhanced cognitive functioning is observed only under certain conditions related to childhood rearing.

This study investigates the psychometric properties of brief COPE in Russian schoolteachers. A total of 773 (91% female; M = 43, SD = 9.79) teachers participated in the study. Principal component analysis (PCA) and confirmatory factor analysis (CFA) were applied to assess the psychometric properties of the brief COPE. The Perceived Stress Scale (PSS) was used to assess the construct validity. The main result of the current research is a revised structure for the brief COPE consisting of six sub-scales: «socio-emotional support», «religion», «acceptance», «problem-focused coping», «avoidance», and «humor». The goodness-of-fit criteria were as follows: SRMR = 0.054, RMSEA = 0.064, CFI = 0.888, and TLI = 869. Overall, the Russian version of the brief COPE shows acceptable psychometric properties and may be applied by researchers, school administrators, and psychologists; however, the reliability of the “avoidance” scale is doubtful and must be considered before application.

The risk of depression could be evaluated through its multifactorial nature using the polygenic score (PGS) approach. Assuming a “clinical continuum” hypothesis of mental diseases, a preliminary assessment of individuals with elevated risk for developing depression in a non-clinical group is of high relevance. In turn, epidemiological studies suggest including social/lifestyle factors together with PGS to address the “missing heritability” problem. We designed regression models, which included PGS using 27 SNPs and social/lifestyle factors to explain individual differences in depression levels in high-education students from the Volga–Ural region (VUR) of Eurasia. Since issues related to population stratification in PGS scores may lead to imprecise variant effect estimates, we aimed to examine a sensitivity of PGS calculated on summary statistics of depression and neuroticism GWAS from Western Europeans to assess individual proneness to depression levels in the examined sample of Eastern Europeans. A depression score was assessed using the revised version of the Beck Depression Inventory (BDI) in 1065 young adults (age 18–25 years, 79% women, Eastern European ancestry). The models based on weighted PGS demonstrated higher sensitivity to evaluate depression level in the full dataset, explaining up to 2.4% of the variance (p = 3.42 × 10⁻⁷); the addition of social parameters enhanced the strength of the model (adjusted r² = 15%, p < 2.2 × 10⁻¹⁶). A higher effect was observed in models based on weighted PGS in the women group, explaining up to 3.9% (p = 6.03 × 10⁻⁹) of variance in depression level assuming a combined SNPs effect and 17% (p < 2.2 × 10⁻¹⁶)—with the addition of social factors in the model. We failed to estimate BDI-measured depression based on summary statistics from Western Europeans GWAS of clinical depression. Although regression models based on PGS from neuroticism (depression-related trait) GWAS in Europeans were associated with a depression level in our sample (adjusted r² = 0.43%, p = 0.019—for unweighted model), the effect was mainly attributed to the inclusion of social/lifestyle factors as predictors in these models (adjusted r² = 15%, p < 2.2 × 10⁻¹⁶—for unweighted model). In conclusion, constructed PGS models contribute to a proportion of interindividual variability in BDI-measured depression in high-education students, especially women, from the VUR of Eurasia. External factors, including the specificity of rearing in childhood, used as predictors, improve the predictive ability of these models. Implementation of ethnicity-specific effect estimates in such modeling is important for individual risk assessment.

Background. Math anxiety is a state of fear and anxiety that an individual experiences when interacting with mathematical problems. Currently, there is a lack of questionnaires to measure mathematical anxiety for Russian-speaking schoolchildren.The aim. The study analyzed the factor structure and psychometric properties of the Abbreviated Math Anxiety Scale (AMAS).Materials and methods. The study involved 1,198 schoolchildren in grades 10–11. The psychometric properties of the AMAS were analyzed.Results. AMAS demonstrated bifactor structure: subscales of Learning Math Anxiety (LMA) and Math Evaluation Anxiety (MEA) and general scale of Math Anxiety. The bifactor model demonstrated the best fit indices. Analysis confirmed reliable internal consistency (Cronbach’s alphas for LMA = 0.82, MEA = 0.75, total AMAS = 0.95). External validity of AMAS has been confirmed. LMA showed lower scores than MEA. The distribution of scores on the general AMAS scale was shifted to low values. Girls showed higher scores on all scales of the questionnaire. The analysis also confirmed measurement invariance for both boys and girls.Conclusion. Based on the analysis, we can conclude that the AMAS is a valid tool for assessing mathematical anxiety in high school students.