Most cited article - PubMed ID 27586958
Antidepressants and mortality risk in a dementia cohort: data from SveDem, the Swedish Dementia Registry
BACKGROUND: A wide range of potentially modifiable risk factors, indicating that the onset of neurocognitive disorders can be delayed or prevented, have been identified. The region of Central and Eastern Europe has cultural, political and economic specifics that may influence the occurrence of risk factors and their link to the cognitive health of the population. OBJECTIVE: We aimed to systematically review population-based studies from Central and Eastern Europe to gather evidence on risk and protective factors for neurocognitive disorders. METHODS: We searched the electronic databases PubMed, Cochrane Database of Systematic Reviews, PsycINFO, Web of Science, and Embase. The search was performed on 26th of February 2020 and repeated at the end of the review process on 20th May 2021. RESULTS: We included 25 papers in a narrative synthesis of the evidence describing cardiovascular risk factors (n = 7), social factors (n = 5), oxidative stress (n = 2), vitamins (n = 2), genetic factors (n = 2) and other areas (n = 7). We found that there was a good body of evidence on the association between neurocognitive disorders and the history of cardiovascular disease while there were gaps in research of genetic and social risk factors. CONCLUSION: We conclude that the epidemiological evidence from this region is insufficient and population-based prospectively followed cohorts should be established to allow the development of preventive strategies at national levels.
- MeSH
- Humans MeSH
- Neurocognitive Disorders epidemiology etiology MeSH
- Protective Factors MeSH
- Risk Factors MeSH
- Aged MeSH
- Check Tag
- Humans MeSH
- Aged MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Systematic Review MeSH
- Geographicals
- Europe, Eastern epidemiology MeSH
PURPOSE: We aimed to study sex differences in the association of childhood socioeconomic position (SEP) with later-life depressive symptoms, the mediating effect of education and explore regional differences across Europe. METHODS: The study included 58,851 participants (55% women, mean age 65 years) from the multicentre, population-based Survey on Health, Ageing and Retirement in Europe. Interviews were conducted in six waves and included measurements of childhood SEP (household characteristics at the age of 10) and depressive symptoms (EURO-D scale). Linear regression was used to study the association of childhood SEP with depressive symptoms, adjusting for covariates, and structural equation modelling assessed the mediating effect of education. RESULTS: In the fully adjusted model, higher childhood SEP was associated with lower depressive symptoms with a greater magnitude in women (B = - 0.07; 95% CI - 0.08, - 0.05) than in men (B = - 0.02; 95% CI - 0.03, - 0.00). Relative to men, childhood SEP had 3 times greater direct effect on depressive symptoms in women, and education had 3.7 times stronger mediating effect against childhood SEP. These associations and the sex differences were particularly pronounced in Southern, Central and Eastern Europe. CONCLUSION: Growing up in poor socioeconomic conditions is a stronger risk factor for the development of depressive symptoms for women than for men. Education may have a stronger preventive potential for women in reducing the adverse effects of childhood socioeconomic hardship. Central and Eastern European populations experience disproportionately higher risk of later-life depression due to lower SEP and greater sex differences.
- Keywords
- Depression, Education, Europe, Mediation, Sex differences, Socioeconomic position,
- MeSH
- Depression * epidemiology MeSH
- Humans MeSH
- Sex Characteristics * MeSH
- Aged MeSH
- Socioeconomic Factors MeSH
- Social Class MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Europe epidemiology MeSH
- Europe, Eastern MeSH
PURPOSE: We aimed to study the association of educational attainment with occurrence of mental disorders in the Czech Republic. METHODS: Data were derived from the CZEch Mental health Study (CZEMS), a cross-sectional study of community-dwelling individuals. Mental disorders were assessed with Mini International Neuropsychiatric Interview (M.I.N.I.), and information on completed education was acquired as a part of a paper and pencil interview. Logistic regression was used to estimate odds ratio (OR) with 95% confidence intervals (CI) for the association of educational attainment with all mental disorders as well as with specific groups (affective, anxiety, alcohol use and substance use disorders), stepwise adjusting for socio-demographic, social and health-related characteristics. RESULTS: We studied 3175 individuals (average age 50 years, range 18-96 years; 54% women). Compared to individuals with higher education, those educated below high school graduation had higher odds of mental disorders (OR 2.07; 95% CI 1.58-1.71), even after adjustment for all covariates (OR 1.64; 95% CI 1.21-2.23). Education showed the strongest association with alcohol use disorders, even when covariates were adjusted for, but was not related to anxiety disorders. The association of education with affective as well as substance use disorders was explained by covariates. CONCLUSIONS: Interventions aimed at reducing the burden of mental disorders should target individuals with low education. Strategies to improve population mental health need to go hand in hand with policies to enhance education as well as reduce alcohol consumption in the Czech Republic.
- Keywords
- Education, Inequality, Mental disorder, Population,
- MeSH
- Alcoholism * MeSH
- Adult MeSH
- Mental Disorders * epidemiology MeSH
- Mental Health MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Cross-Sectional Studies MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Educational Status MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic epidemiology 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
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