University students’ lifestyle has changed dramatically due to the spread of COVID-19. They had to face adaptation to the online learning format, as well as strict and long-term restriction of social contacts.

To trace the dynamics in the main indicators of mental health (depression, anxiety, and stress) and mental wellbeing among students during the first year of the COVID-19 pandemic.

DASS (Lovibond, Lovibond, 1995) and WEMWBS (Tennant et al., 2007) were applied in the research. The study involved 733 students at Russian universities aged from 18 to 23 years (M=20.0; SD=3.23), of which 88.1% were girls. The same design was used in the spring (N=245), in the autumn of 2020 (N=270) and in the winter of 2021 (N=218).

It was found that the indicators for all DASS scales significantly differ (p<0.05) across the three periods. With Post Hoc Scheffe, it was shown that the levels of depression, anxiety and stress in autumn 2020 and winter 2021 were significantly higher than in spring 2020 (p<0.05). The WEMWBS values differ significantly (p<0.05) throughout the periods. The level of mental wellbeing among students in spring 2020 was significantly higher than in autumn 2020 and in winter 2021 (p<0.05).

It was revealed that despite the rather severe restrictions in Russia at the beginning of the pandemic, and relatively mild measures taken afterwards (compared to many countries), the indicators of students’ mental health as well as the level of their mental well-being continued to decline. The reported study was funded by RFBR, project number 20-04-60174.

No significant relationships.

Despite numerous studies of the mental health and well-being of the population depending on various factors, insufficient attention is paid to the research of the relationship between well-being and mono- and multilingual regional specifics in multilingual and multicultural Russia.

This study aims to identify a possible relationship between mental well-being in some regions of the Russian Federation and monolingualism and multilingualism inherent in these regions.

The study involved 966 participants (29.5% men and 70.5% women) aged 11 to 80 years (M=24.8; SD=12.19) from six regions of the Russian Federation: Crimea, Adygea, Bashkortostan, Sakha, Tatarstan and Kabardino-Balkarian region. The mental well-being of participants was assessed using the Warwick-Edinburgh Mental Well-being Scale (Tennant et al., 2006; Tennant et al., 2007).

The measures of mental well-being were compared among residents from the regions as following categories: native Russian language speakers in monolingual regions (144 participants); native Russian language speakers in multilingual regions (193 participants); native national language speakers in multilingual regions (325 participants); native Russian and national languages speakers in multilingual regions (304 participants). Using one-way analysis of variance (ANOVA), it was found that there were no significant differences in the assessments of mental well-being (F = 0.852; p = 0.521) among residents from the above categories.

Residents who are native speakers in Russian and national languages and are living in Russia’s regions with monolinguism and multilinguism demonstrate no difference in mental well-being measures. The reported study was funded by the RFBR, project number 17-29-09167.

No significant relationships.

The aim of this study was to investigate the possible impact of the Covid-19 pandemic on general health, mental well-being, and experiences of control compared to pre-pandemic populations. Our hypotheses were that we would observe a significantly lower level of psychological well-being and general health in the 2020 sample compared to the pre-pandemic samples, and that we would observe younger age groups to be the most affected.

Two representative Danish populations (2016, n = 1656) and (2017, n = 3366) were compared to a representative Danish population (2020, n = 1538) sampled during the first lockdown in May 2020. Two-tailed tests of proportions were used to investigate possible differences between samples in proportions reporting poorer mental well-being measured by 5-item World Health Organization Well-Being Index, general health, and internal locus of control.

Younger men (aged 18–24) and younger women (aged 18–44) as well as elderly women (aged 65–74) reported lower mental well-being during the early phase of the pandemic compared to the population from 2016. Both women and men in 2020 reported significantly lower levels of internal locus of control compared to the 2017 sample. This was especially true for younger men and women. There were no statistically significant differences in general health between populations.

This study partly supports the hypothesis that the Covid-19 pandemic affected mental well-being negatively among younger persons. However, longitudinal studies are needed to investigate possible long-term effects of the pandemic on mental health and well-being. Further, qualitative studies are needed to investigate the in-depth consequences of Covid-19.

The process of adjustment to disability and illness among people with chronic illness and disabilities (CID) impacts on motivation for rehabilitation illness self-management, and psychological well-being. It involves a complex interplay of biopsychosocial factors, and was seldom examined in the Chinese context.

Identify the predictors of mental well-being of people with from a set of variables including illness and social support, functional abilities, coping strategies, resilience. Examine how these factors interact in determining psychosocial adaptation and mental well-being by structural equations modelling (SEM).

We conducted a survey of people with CID, who were recruited from community-rehabilitation settings and self-help groups (N = 244). The research questionnaire collected basic demographic information, illness-related variables (e.g. pain, fatigue, functional limitations), and RIDI), social support, measures of resilience, coping, psychosocial ad as predictors, and mental well-being.

Of General Linear Model (GLM) revealed that males have better adaptation than females. Resilience, social coping, & active problem solving are significant predictors of adaptation (Table 1), while age, breathing, pain, resilience, avoidance coping, are predictors of maladaptation (Table 2). A SEM was tested to examine the interaction among the predictors and outcome of adaptation and mental well-being (Figure 1), and the model fit was fair (CFI = 0.89; RMSEA = 0.09)

The results indicated that there are gender differences in adaptation. While all the hypothesized groups of variables contributed to mental well-being of people with CID. Resilience, illness variables, and some forms of coping are closely linked to adaptation and maladaptation.

No significant relationships.

Some attempts are being made to describe the mental health and well-being of the population in relation with the regional specifics in a particular area of the Russia, however, they are rare and local (limited to one region).

The current study aims to identify sociocultural mediation of mental well-being based on its measures in Russia’s regions with different ethno-cultural composition of population.

The study involved 210 men and 403 women aged 14 to 76 years (M = 26.9; SD = 13.7) from six regions of the Russian Federation: Moscow, St. Petersburg, Udmurtia, Sakha, Sverdlovsk and Kemerovo. The mental well-being of participants was assessed using the Warwick-Edinburgh Mental Wellbeing Scale (Tennant et al., 2006; Tennant et al., 2007).

The measures of mental well-being were different in the regions: Moscow (M=51.04; SD=8.03), St.-Petersburg (M=50.05; SD=5.78), Udmurtia (M=47.57; SD=9.50), Sakha (M=50.99; SD=8.47), Sverdlovsk (M=54.86; SD=8.43), Kemerovo (M=51.84; SD=7.51). Using one-way analysis of variance (ANOVA), it was found that there are significant differences in the assessment of psychological well-being between study participants from different regions (F = 6.692; p <0.001). Residents from the Sverdlovsk evaluate their mental well-being as significantly better than the ones from Moscow (MD=3.821; p=0.012), St.Petersburg (MD=4.812; p=0.023), the Udmurtia (MD=7.284; p <0.001) and the Sakha (MD=3.869; p=0.003).

Residents from Russia’s regions with different ethno-cultural composition of population demonstrate some difference in mental well-being measures that may be caused by sociocultural factors. The reported study was funded by the Russian Foundation for Basic Research, project number 17-29-02506.

Since the post-Soviet space is distinguished by a wide ethnolinguistic diversity with Russian language being the basis of identity for a significant part of the population, the role of ethnolinguistic identity in psychological well-being needs deep analysis.

The study explores the relationship between mental well-being and belonging to different ethnolinguistic categories in Russia and Azerbaijan.

The Warwick-Edinburgh Mental Well-Being Scale (Tennant et al., 2007) was used as a measuring tool. The study involved 90 students, 45 participants from multilingual regions of Russia and 45 Russian-speaking students from Azerbaijan. Both samples included three categories of subjects: indicating Russian (1); one or more regional languages in the Russian sample or Azerbaijani in the sample from Baku (2); two native languages - Russian and one of regional languages or Russian and Azerbaijani (3) - as their native language.

No significant differences were observed in the level of psychological well-being in both Russian (KW = 0.594; p = 0.743) and Azerbaijanian students (KW = 1.535; p = 0.464). However, the level of psychological well-being in Russian students from multilingual regions, who indicate the regional language as their native language, is significantly higher than in Azerbaijani students, whose native language is Russian (U = 55,000; p = 0.045).

The sociocultural context is reflected in mental well-being of the individual, depending on his native language and ethnocultural identity. The reported study was funded by RFBR, project number 17-29-09167.

Ethnolinguistic diversity provides the opportunity to study the relation between the native language, the emotional state, and the well-being of a person. Representatives of different linguistic groups may have psychological advantages in specific socio-cultural situations.

We investigated the interrelation between mental well-being, emotional state, life satisfaction, and belonging to different ethnolinguistic categories in the Russian society.

The measuring instruments included the Warwick-Edinburgh Mental Well-Being Scale (Tennant et al., 2007), the Scale ofPositive and Negative Experience (SPANE) (Diener et al., 2009), the questionary on life satisfaction. The research project included 894 respondents aged from 14 to 80 (M=24.0; SD=11.7), residents of eight regions, where there are one or several official languages along with Russian.

The results indicate that mental well-being (F = 1.167; p = 0.312) is independent of the respondents’ native language, while the ratio of positive and negative affect is significantly higher (F = 3.164; p = 0.008) among people who indicated the regional language as the native one, compared to those who have two native languages - Russian and regional (MD = -1.529; p = 0.039). Moreover, the general life satisfaction is higher (F = 7.427; p = 0.001) among native speakers of the regional language as compared to those who indicate both Russian and regional languages as their native languages (MD = 0.638; p <0.001).

Differences in the emotional state and life satisfaction along with the absence of differences in mental well-being were revealed in respondents of different ethnolinguistic categories. The reported study was funded by RFBR, project number 17-29-09167.

Mental illness and mental well-being are independent but correlated dimensions of mental health. Both are associated with social functioning (in opposite directions), but it is not known whether they modify the effects of one another. New treatment targets might emerge if improving mental well-being in people with serious mental illness improved functional outcomes independent of clinical status.

To describe associations between mental well-being and functioning in people classified according to mental illness status.

Cross-sectional data from 5485 respondents to the Health Survey for England 2014 were analysed. Mental illness status (including whether diagnosed by a professional) was by self-report and grouped into four categories, including ‘diagnosis of serious mental illness’. Mental well-being was measured using the Warwick-Edinburgh Mental Well-Being Scale, and functioning by items from the EQ-5D. Mental distress was assessed using General Health Questionnaire (GHQ-12) items. Associations were examined using moderated regression models with group membership as an interaction term.

Mental well-being score was associated with (higher) functioning score (P < 0.05). This association varied between mental illness groups, even after adjusting for age, gender, ethnicity, physical health and symptoms of mental distress (F(3) = 14.60, P < 0.001). The gradient of this association was greatest for those with diagnosed serious mental illness.

Mental well-being was associated with higher functional status in people with mental illness, independent of the symptoms of mental distress and other confounders. The association was strongest in the diagnosed serious mental illness group, suggesting that mental well-being may be important in recovery from mental illness.

Understanding and measuring mental health and well-being among carers of people with dementia has become an important public health issue.

In the present study we used the Warwick–Edinburgh Mental Well-Being Scale (WEMWBS) to identify predictors of positive mental health in a convenience sample of family carers of people with dementia using a cross-sectional design.

WEMWBS showed a negative correlation with anxiety and depressive symptoms, and a positive correlation with physical health status. Regression analyses indicated that overall nearly 70% of the variance in mental well-being in carers could be attributed to caregiver's age, physical health, stress specific to caregiving, and social support. Preliminary data show that the WEMWBS demonstrates strong internal consistency. Confirmatory factor analysis demonstrated one underlying factor of positive mental well-being.

WEMWBS is a psychometrically strong measure of mental well-being, and can be used to identify factors that promote positive mental health in family carers of people with dementia. Current results provide preliminary data supporting the usefulness of the scale as an overall indicator of population mental health and well-being for carers of people with dementia.