OBJECTIVES: The aim of the study was to describe alcohol consumption and its changes in the Czech Republic during the period of governmental restrictions related to the COVID-19 pandemic. To this goal, an overview of the governmental measures that may have affected alcohol consumption was compiled from various sources (mostly media reports). METHODS: The paper analyses three surveys where the group from Charles University, Prague, participated in design and execution: the European Study Group on Alcohol use and COVID-19 (ESAC) convenience online survey that (in Czechia) took place at the onset of the COVID-19 pandemic in Europe, in April through June 2020 (n = 1,434), a computer-assisted web interviews (CAWI) survey carried out in November 2021 (n = 790), and another CAWI survey carried out in November 2022 (n = 1,738). These are complemented by a brief overview of official data on alcohol sales between 2019 and 2021 in Czechia from two sources, Ministry of Finance of the Czech Republic and the Nielsen IQ market research company. RESULTS: Changes in alcohol use appeared to be distributed among the population unequally, when the pandemic influenced different population groups in a different way. In all three surveys, the majority of respondents reported no change in their drinking frequency or quantity. Decreases in alcohol use were more prevalent than increases. Most pronounced changes were detected in at-risk drinkers, who have increased their alcohol use. Official revenue data suggest a small reduction in total alcohol sales in 2019-2021. CONCLUSIONS: Our research results do not support the hypothesis that substantial and unexpected social and economic changes caused by the COVID-19 pandemic, along with corresponding measures, acted as stressors that would have caused the majority of people in Czechia changing their behaviour related to alcohol use; however, high-risk users increased their consumption.

• Keywords
• COVID-19, Czech Republic, alcohol consumption, anti-epidemic regulations, pandemic, risk alcohol drinking,
• MeSH
• COVID-19 * epidemiology   MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Pandemics MeSH
• Alcohol Drinking * epidemiology   MeSH
• Surveys and Questionnaires MeSH
• SARS-CoV-2 MeSH
• Aged MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic epidemiology   MeSH

The pandemic due to COVID-19 brought new risks for depression of health care workers, which may have differently influenced men and women. We aimed to investigate (1) whether health care workers in Czechia experienced an increase in depression during the COVID-19 pandemic, (2) which factors contributed the most to this change, and (3) whether the magnitude of the associations differed by gender. We studied 2564 participants of the Czech arm of the international COVID-19 HEalth caRe wOrkErS (HEROES) Study. Online questionnaire was administered to health care workers in summer 2020 (wave 0) and spring 2021 (wave 1). Depression was defined by reaching 10 or more points on the Patient Health Questionnaire. Logistic regression investigated the association of participant´s characteristics with depression and multivariable decomposition for non-linear models assessed, to what extent the characteristic explained the change in depression occurrence. The prevalence of depression increased twice during the pandemic (11% in wave 0 and 22% in wave 1). Stress accounted for 50% of the difference, experience of death due to COVID-19 for 15% and contact with COVID-19 patients for 14%. Greater resilience and sufficient personal protective equipment were strongly associated with lower occurrence of depression. The protective association of resilience with depression was stronger in men than in women. We conclude that interventions to promote mental health of health care workers in future health crisis should aim at decreasing stress and enhancing resilience. They should be delivered especially to individuals who have contact with the affected patients and may face their death.

• MeSH
• COVID-19 * epidemiology   MeSH
• Humans MeSH
• Pandemics MeSH
• Gastropoda * MeSH
• Anxiety MeSH
• Health Personnel MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Female MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Czech Republic epidemiology   MeSH

BACKGROUND: Numbers of psychiatric beds (general, forensic, and residential) and prison populations have been considered to be indicators of institutionalisation of people with mental illnesses. The present study aimed to assess changes of those indicators across Central Eastern Europe and Central Asia (CEECA) over the last three decades to capture how care has developed during that historical period. METHODS: We retrospectively obtained data on numbers of psychiatric beds and prison populations from 30 countries in CEECA between 1990 and 2019. We calculated the median of the percent changes between the first and last available data points for all CEECA and for groups of countries based on former political alliances and income levels. FINDINGS: Primary national data were retrieved from 25 out of 30 countries. Data from international registries were used for the remaining five countries. For all of CEECA, the median decrease of the general psychiatric bed rates was 33•8% between 1990 and 2019. Median increases were observed for forensic psychiatric beds (24•7%), residential facility beds (12•0%), and for prison populations (36•0%). Greater reductions of rates of psychiatric beds were observed in countries with lower per capita income as well as in countries that were formerly part of the Soviet Union. Seventeen out of 30 countries showed inverse trends for general psychiatric beds and prison populations over time, indicating a possible shift of institutionalisation towards correctional settings. INTERPRETATION: Most countries had decreased rates of general psychiatric beds, while there was an increase of forensic capacities. There was an increase in incarceration rates in a majority of countries. The large variation of changes underlines the need for policies that are informed by data and by comparisons across countries. FUNDING: Agencia Nacional de Investigación y Desarrollo in Chile, grant scheme FONDECYT Regular, grant number 1190613.

• Publication type
• Journal Article MeSH

OBJECTIVES: To assess the prevalence of mental disorders during the second wave of COVID-19 pandemic in comparison with both, baseline and the first wave of the pandemic, and to identify disproportionally affected non-clinical subgroups. MATERIAL AND METHODS: We used data from three nationally representative cross-sectional studies and compared the prevalence of current mood and anxiety disorders, and alcohol-use disorders at baseline (November 2017, n = 3306), immediately after the first peak (May 2020, n = 3021), and during the second peak (November 2020, n = 3000) of COVID-19 in Czechia. We used the Mini International Neuropsychiatric Interview (M.I.N.I.) as a screening instrument, and calculated weighted prevalence (%) with 95% weighted confidence intervals (95% CIs). Additionally, we examined the prevalence of these disorders across different non-clinical population sub-groups during the second wave of the pandemic. RESULTS: The proportion of individuals experiencing at least one mental disorder was highest during the second wave of the pandemic (32.94%, 95% CI = 31.14%; 34.77%), when compared to both the baseline in November 2017 (20.02%, 95% CI = 18.64%; 21.39%), and the first wave in May 2020 (29.63%, 95% CI = 27.9%; 31.37%). Younger adults, students, those having lost a job or on forced leave, and those with only elementary education displayed disproportionally high prevalence of mental disorders. CONCLUSIONS: Our findings suggest that population mental health has not returned to pre-COVID-19 levels. It seems that mental health of some population subgroups, such as young adults or those worse off economically, might have been affected disproportionately by the COVID-19 situation, and future studies identifying high-risk groups are warranted.

• Keywords
• Anxiety, COVID-19, Depression, Mental disorders, Prevalence, SARS-CoV-2,
• MeSH
• COVID-19 * MeSH
• Depression MeSH
• Humans MeSH
• Young Adult MeSH
• Pandemics * MeSH
• Prevalence MeSH
• Cross-Sectional Studies MeSH
• Surveys and Questionnaires MeSH
• SARS-CoV-2 MeSH
• Anxiety MeSH
• Check Tag
• Humans MeSH
• Young Adult MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Czech Republic MeSH

We aimed to explore sex differences in the association of childhood socioeconomic position (SEP) with the level of cognitive performance and the rate of cognitive decline. We studied 84,059 individuals (55% women; mean age 64 years) from the Survey on Health, Ageing and Retirement in Europe. Sex differences in the association of childhood SEP (household characteristics at age 10) with the level of cognitive performance (verbal fluency, immediate recall, delayed recall) were analysed using multilevel linear regression. Structural equation modelling tested education, depressive symptoms and physical state as mediators. The relationship between childhood socioeconomic advantage and disadvantage and the rate of cognitive decline was assessed using linear mixed-effects models. Higher childhood SEP was associated with a higher level of cognitive performance to a greater extent in women (B = 0.122; 95% CI 0.092-0.151) than in men (B = 0.109; 95% CI 0.084-0.135). The strongest mediator was education. Childhood socioeconomic disadvantage was related to a higher rate of decline in delayed recall in both sexes, with a greater association in women. Strategies to prevent impaired late-life cognitive functioning, such as reducing childhood socioeconomic disadvantages and improving education, might have a greater benefit for women.

• MeSH
• Depression psychology   MeSH
• Child MeSH
• Cognition physiology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Longitudinal Studies MeSH
• Cross-Sectional Studies MeSH
• Aged MeSH
• Sex Factors * MeSH
• Social Class * MeSH
• Aging physiology   MeSH
• Educational Status MeSH
• Check Tag
• Child MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Research Support, N.I.H., Extramural MeSH

The aim was to investigate the pattern and rate of cognitive decline across distinctive trajectories of depressive symptoms in older adults. In this prospective multinational cohort study on 69,066 participants (on average 64 years at baseline, 55% women), assessments of cognitive functions (immediate recall, delayed recall, verbal fluency) and depressive symptoms (EURO-D scale) were conducted at 2-year intervals. The trajectories of depressive symptoms were obtained using latent growth mixture modelling, cognitive decline was assessed using smoothing splines and linear mixed effects models. Four distinct trajectories of depressive symptoms were identified: constantly low (n = 49,660), constantly high (n = 2999), increasing (n = 6828) and decreasing (n = 9579). Individuals with increasing and constantly high depressive symptoms showed linear cognitive decline, while those with constantly low and decreasing depressive symptoms had fluctuating cognition. Participants with increasing depressive symptoms had the fastest decline, while those with decreasing symptoms were spared from decline in cognition. This study suggests that the pattern as well as the rate of cognitive decline co-occurs with specific patterns of changes in depressive symptoms over time. The most pronounced cognitive decline is present in individuals, in whom depressive symptoms increase late in life. Unique mechanisms of cognitive decline may exist for subgroups of the population, and are associated with the trajectory of depressive symptoms.

• MeSH
• Depression physiopathology   psychology   MeSH
• Depressive Disorder physiopathology   MeSH
• Cognition physiology   MeSH
• Cognitive Dysfunction physiopathology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Prospective Studies MeSH
• Aged MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Research Support, N.I.H., Extramural MeSH

BACKGROUND: Increasing educational attainment (EA) could decrease the occurrence of depression. We investigated the relationship between EA and depressive symptoms in older individuals across four European regions. METHODS: We studied 108,315 Europeans (54% women, median age 63 years old) from the Survey on Health, Ageing and Retirement in Europe assessing EA (seven educational levels based on International Standard Classification of Education [ISCED] classification) and depressive symptoms (≥4 points on EURO-D scale). Logistic regression estimated the association between EA and depressive symptoms, adjusting for sociodemographic and health-related factors, testing for sex/age/region and education interactions. RESULTS: Higher EA was associated with lower odds of depressive symptoms, independent of sociodemographic and health-related factors. A threshold of the lowest odds of depressive symptoms was detected at the first stage of tertiary education (OR 0.60; 95% confidence interval [CI] 0.55-0.65; p < 0.001; relative to no education). Central and Eastern Europe showed the strongest association (OR for high vs. low education 0.37; 95% CI 0.33-0.40; p < 0.001) and Scandinavia the weakest (OR for high vs. low education 0.69; 95% CI 0.60-0.80; p < 0.001). The association was strongest among younger individuals. There was a sex and education interaction only within Central and Eastern Europe. CONCLUSIONS: Level of EA is reflected in later-life depressive symptoms, suggesting that supporting individuals in achieving EA, and considering those with lower EA at increased risk for depression, could lead to decreased burden of depression across the life course. Further educational support in Central and Eastern Europe may decrease the higher burden of depressive symptoms in women.

• Keywords
• Depression, Europe, education, epidemiology,
• MeSH
• Depression epidemiology   MeSH
• Retirement MeSH
• Middle Aged MeSH
• Humans MeSH
• Logistic Models MeSH
• Aged MeSH
• Social Determinants of Health statistics & numerical data   MeSH
• Aging MeSH
• Educational Status * MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Research Support, N.I.H., Extramural MeSH
• Geographicals
• Europe epidemiology   MeSH
• Europe, Eastern MeSH

BACKGROUND: Increasing educational level of the population could be a strategy to prevent depression. We investigated whether education may offer a greater benefit for mental health to women and to individuals living in socioeconomically disadvantaged areas. METHODS: We performed a cross-sectional study using data on 6964 Czech participants of the Health, Alcohol and Psychosocial factors in Eastern Europe study (on average 58 years old; 53% women). Binary logistic regression was used to examine the association of education with depressive symptoms, adjusting for several groups of covariates. Interactions were tested between education and sex as well as between education and socioeconomic advantage of the area of residence. RESULTS: Higher education was strongly associated with lower odds of depressive symptoms, independently of sociodemographic characteristics, health behavior and somatic diseases. This association was attenuated after adjusting for other markers of individual socioeconomic position (work activity, material deprivation and household items). There were no interactions between education and either sex or socioeconomic advantage of the area of residence. CONCLUSIONS: We did not find an independent association between education and depressive symptoms after controlling for other socioeconomic markers in a sample with a formative history of communistic ideologies. Women or individuals from socioeconomically disadvantaged areas do not seem to gain a larger mental health benefit from education.

• MeSH
• Depression * epidemiology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Cross-Sectional Studies MeSH
• Socioeconomic Factors MeSH
• Educational Status MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Research Support, N.I.H., Extramural MeSH
• Geographicals
• Czech Republic epidemiology   MeSH
• Europe, Eastern MeSH

AIMS: The United Nations warned of COVID-19-related mental health crisis; however, it is unknown whether there is an increase in the prevalence of mental disorders as existing studies lack a reliable baseline analysis or they did not use a diagnostic measure. We aimed to analyse trends in the prevalence of mental disorders prior to and during the COVID-19 pandemic. METHODS: We analysed data from repeated cross-sectional surveys on a representative sample of non-institutionalised Czech adults (18+ years) from both November 2017 (n = 3306; 54% females) and May 2020 (n = 3021; 52% females). We used Mini International Neuropsychiatric Interview (MINI) as the main screening instrument. We calculated descriptive statistics and compared the prevalence of current mood and anxiety disorders, suicide risk and alcohol-related disorders at baseline and right after the first peak of COVID-19 when related lockdown was still in place in CZ. In addition, using logistic regression, we assessed the association between COVID-19-related worries and the presence of mental disorders. RESULTS: The prevalence of those experiencing symptoms of at least one current mental disorder rose from a baseline of 20.02 (95% CI = 18.64; 21.39) in 2017 to 29.63 (95% CI = 27.9; 31.37) in 2020 during the COVID-19 pandemic. The prevalence of both major depressive disorder (3.96, 95% CI = 3.28; 4.62 v. 11.77, 95% CI = 10.56; 12.99); and suicide risk (3.88, 95% CI = 3.21; 4.52 v. 11.88, 95% CI = 10.64; 13.07) tripled and current anxiety disorders almost doubled (7.79, 95% CI = 6.87; 8.7 v. 12.84, 95% CI = 11.6; 14.05). The prevalence of alcohol use disorders in 2020 was approximately the same as in 2017 (10.84, 95% CI = 9.78; 11.89 v. 9.88, 95% CI = 8.74; 10.98); however, there was a significant increase in weekly binge drinking behaviours (4.07% v. 6.39%). Strong worries about both, health or economic consequences of COVID-19, were associated with an increased odds of having a mental disorder (1.63, 95% CI = 1.4; 1.89 and 1.42, 95% CI = 1.23; 1.63 respectively). CONCLUSIONS: This study provides evidence matching concerns that COVID-19-related mental health problems pose a major threat to populations, particularly considering the barriers in service provision posed during lockdown. This finding emphasises an urgent need to scale up mental health promotion and prevention globally.

• Keywords
• Anxiety, COVID-19, SARS-CoV-2, depression, mental disorders, prevalence, suicide risk,
• MeSH
• Betacoronavirus MeSH
• COVID-19 MeSH
• Depressive Disorder, Major epidemiology   etiology   MeSH
• Adult MeSH
• Mental Disorders epidemiology   etiology   MeSH
• Mental Health statistics & numerical data   MeSH
• Coronavirus Infections epidemiology   psychology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Pandemics MeSH
• Mood Disorders epidemiology   etiology   MeSH
• Alcohol-Related Disorders epidemiology   etiology   MeSH
• Prevalence MeSH
• Cross-Sectional Studies MeSH
• Surveys and Questionnaires MeSH
• Psychiatric Status Rating Scales MeSH
• SARS-CoV-2 MeSH
• Suicide statistics & numerical data   MeSH
• Anxiety Disorders epidemiology   etiology   MeSH
• Pneumonia, Viral epidemiology   psychology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic epidemiology   MeSH

BACKGROUND: Facing an increasing prevalence of dementia, the Czech Republic is developing a new nationwide strategy for the management and prevention of dementia. Lack of evidence about characteristics of individuals with dementia in the country is a major obstacle. OBJECTIVE: The study aimed to 1) characterize individuals with dementia, 2) compare their mortality with the general population, and 3) analyze differences in survival between different dementia disorders. METHODS: The study capitalizes on two nationwide registers in the Czech Republic, from which information about individuals who were hospitalized with dementia or died from it between 1994 and 2014 was retrieved. Standardized intensity of hospitalizations was calculated for each year, mortality was studied using standardized mortality ratio, life-tables, Kaplan-Mayer curves, and Cox proportional hazard models. RESULTS: Standardized intensity of hospitalizations for dementia increased more than 3 times from 1994 to 2014. Standardized mortality ratio was 3.03 (95% confidence interval 2.97-3.08). One-year survival rate was 45% and five-year survival rate 16%. Vascular dementia was the most common type of dementia disorders and was associated with higher hazard of death than Alzheimer's disease, even after adjusting for sociodemographic and clinical covariates (hazard ratio 1.04; 95% confidence interval 1.02-1.05). CONCLUSION: The study provides estimates on demographic characteristics and mortality of the Czech hospitalized dementia population, which have not been so far available and which are unique also in the context of the entire region of Central and Eastern Europe.

• Keywords
• Alzheimer’s disease, Czech Republic, dementia, hospitalization, mortality, population characteristics, registries,
• MeSH
• Dementia epidemiology   mortality   MeSH
• Hospitalization statistics & numerical data   MeSH
• Kaplan-Meier Estimate MeSH
• Humans MeSH
• Mortality MeSH
• Proportional Hazards Models MeSH
• Registries MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Czech Republic epidemiology   MeSH