Most cited article - PubMed ID 31627114
Changes in depressive symptoms of older adults in the Czech Republic
We examined the relationship between educational attainment (EA) and anxiety symptoms in a sample of 77,792 individuals (median age = 64 years, 55% female) from the Survey of Health, Ageing and Retirement in Europe. Using logistic regression, we estimated odds ratio (OR) with 95% confidence interval (CI) for the association between EA (7 educational levels based on International Standard Classification of Education) and anxiety symptoms (12 or more points from the shortened 5-item version of the Beck Anxiety Inventory), adjusting for sociodemographic and health-related factors. We further explored whether the relationship varied by region, sex and age group. Independent of sociodemographic and health-related factors, higher levels of EA were associated with lower odds of anxiety symptoms. The magnitude of this association plateaued at first stage of tertiary education (OR 0.40; 95% CI 0.35-0.47, p < 0.001). The association was stronger in females, middle-aged individuals and in Central and Eastern Europe while not apparent in Northern Europe. Our findings suggest that individuals with higher education might be protected against anxiety throughout life. The protective effect of education against anxiety symptoms is more pronounced in less egalitarian regions and in females.
- MeSH
- European People MeSH
- Middle Aged MeSH
- Humans MeSH
- Aged MeSH
- Educational Status * MeSH
- Anxiety * epidemiology 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
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
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