OBJECTIVE: Environmental noise exposure is associated with adiposity. However, less is known about the individual vulnerability to environmental noise in abnormal adiposity development, particularly in relation to mental health. This study investigated the association between environmental noise exposure and four adiposity biomarkers and tested the moderation effect of depressive symptoms. METHODS: A cross-sectional population-based sample of 2031 participants aged 25-64 years (54.70% women) was drawn from the Kardiovize study in 2013. Global combined (road, railway, and airport) Lden (day-evening-night) noise exposures were obtained from the geographical prediction modelling for the 2nd report of Strategic noise mapping in the Czech Republic (2012). Four adiposity biomarkers (BMI, body fat percentage, waist circumference, and visceral fat area) were assessed. Depressive symptoms were measured by PHQ-9. Linear regression was used to estimate the separate effects of quartiles of noise exposure and depressive symptoms on adiposity biomarkers and to examine the interaction between noise exposure and depressive symptoms. RESULTS: The average noise exposure was 53.79 dB, ranging from 42.50 dB to 66.97 dB. All biomarkers were significantly elevated in the highest noise exposure quartile (>56 dB), compared to the lowest quartile (<51 dB) (p < 0.05). The association between noise and adiposity biomarkers was modified by presence of depressive symptoms; the increase in all adiposity biomarkers in the highest quartile of noise was significantly larger among subjects with moderate to severe depressive symptoms (p < 0.005). CONCLUSION: The study confirmed the association between environmental noise exposure and several adiposity measures. The association was stronger in the presence of depressive symptoms.

• MeSH
• adipozita * MeSH
• biologické markery * krev   MeSH
• deprese * epidemiologie   MeSH
• dospělí MeSH
• hluk škodlivé účinky   MeSH
• index tělesné hmotnosti MeSH
• lidé středního věku MeSH
• lidé MeSH
• obvod pasu MeSH
• průřezové studie MeSH
• vystavení vlivu životního prostředí MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH

• MeSH
• lidé MeSH
• předčasné stárnutí * MeSH
• sociální determinanty zdraví MeSH
• socioekonomické faktory MeSH
• stárnutí MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• zprávy MeSH

Exposures to social and environmental stressors arise individual behavioural response and thus indirectly affect cardiometabolic health. The aim of this study was to investigate several social and environmental stressors and the paths of their influence on cardiometabolic health. The data of 2154 participants (aged 25-64 years) from the cross-sectional population-based study were analysed. The composite score of metabolic disorders (MS score) was calculated based on 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, triglycerides. The effects of social stressors (education level, income), environmental stressors (NO2, noise) and behavioural factors (unhealthy diet, smoking, alcohol consumption, sedentary behaviours) on MS score were assessed using a structural model. We observed a direct effect of education on MS score, as well as an indirect effect mediated via an unhealthy diet, smoking, and sedentary behaviours. We also observed a significant indirect effect of income via sedentary behaviours. The only environmental stressor predicting MS was noise, which also mediated the effect of education. In summary, the effect of social stressors on the development of cardiometabolic risk had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and might predispose individuals to higher levels of environmental stressors exposures.

• MeSH
• biologické markery krev   MeSH
• dospělí MeSH
• HDL-cholesterol krev   MeSH
• kardiovaskulární nemoci etiologie   epidemiologie   MeSH
• kouření škodlivé účinky   MeSH
• krevní glukóza metabolismus   MeSH
• krevní tlak MeSH
• lidé středního věku MeSH
• lidé MeSH
• metabolické nemoci etiologie   epidemiologie   MeSH
• obvod pasu MeSH
• průřezové studie MeSH
• psychický stres MeSH
• rizikové faktory MeSH
• sedavý životní styl * MeSH
• triglyceridy krev   MeSH
• vystavení vlivu životního prostředí škodlivé účinky   MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: The number of older people with cognitive impairment is increasing worldwide. Impaired lung function might be associated with cognitive decline in older age; however, results from large longitudinal studies are lacking. In this study, we examined the longitudinal associations between pulmonary function and the trajectories of cognitive decline using prospective population-based SHARE data from 14 countries. METHODS: The analytic sample included N = 32,049 older adults (Mean age at baseline = 64.76 years). The dependent variable was cognitive performance, measured repeatedly across six waves in three domains: verbal fluency, memory, and numeracy. The main predictor of interest was peak expiratory flow (PEF). The data were analyzed in a multilevel accelerated longitudinal design, with models adjusted for a variety of covariates. RESULTS: A lower PEF score was associated with lower cognitive performance for each domain as well as a lower global cognitive score. These associations remained statistically significant after adjusting for all covariates Q4 vs Q1 verbal fluency: unstandardized coefficient B = -3.15; numeracy: B = -0.52; memory: B = -0.64; global cognitive score B = -2.65, all p < .001). However, the PEF score was not found to be associated with the rate of decline for either of the cognitive outcomes. CONCLUSIONS: In this large multi-national longitudinal study, the PEF score was independently associated with lower levels of cognitive functions, but it did not predict a future decline. The results suggest that pre-existing differences in lung functions are responsible for variability in cognitive functions and that these differences remained stable across aging.

• MeSH
• kognice MeSH
• kognitivní dysfunkce * epidemiologie   MeSH
• lidé MeSH
• longitudinální studie MeSH
• plíce MeSH
• prospektivní studie MeSH
• senioři MeSH
• stárnutí * psychologie   MeSH
• Check Tag
• lidé MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Biological aging reflects a decline in the functions and integrity of the human body that is closely related to chronological aging. A variety of biomarkers have been found to predict biological age. Biological age higher than chronological age (biological age acceleration) indicates an accelerated state of biological aging and a higher risk of premature morbidity and mortality. This study investigated how socioeconomic disadvantages influence biological aging. METHODS: The data from the National Health and Nutrition Examination Survey (NHANES) IV, including 10 nationally representative cross-sectional surveys between 1999-2018, were utilized. The analytic sample consisted of N = 48,348 individuals (20-84 years). We used a total of 11 biomarkers for estimating the biological age. Our main outcome was biological age acceleration, indexed by PhenoAge acceleration (PAA) and Klemera-Doubal biological age acceleration (KDM-A). Poverty was measured as a ratio of family income to the poverty thresholds defined by the U.S. Census Bureau, adjusted annually for inflation and family size (5 categories). The PAA and KDM-A were regressed on poverty levels, age, their interaction, education, sex, race, and a data collection wave. Sample weights were used to make the estimates representative of the U.S. adult population. RESULTS: The results showed that higher poverty was associated with accelerated biological aging (PAA: unstandardized coefficient B = 1.38 p <.001, KDM: B = 0.96, p = .026 when comparing the highest and the lowest poverty level categories), above and beyond other covariates. The association between PAA and KDM-A and age was U-shaped. Importantly, there was an interaction between poverty levels and age (p <.001), as the effect of poverty was most pronounced in middle-aged categories while it was modest in younger and elderly groups. CONCLUSION: In a nationally representative US adult population, we found that higher poverty was positively associated with the acceleration of biological age, particularly among middle-aged persons.

• MeSH
• biologické markery MeSH
• chudoba * MeSH
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• průřezové studie MeSH
• senioři MeSH
• stárnutí * MeSH
• výživa - přehledy MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH

OBJECTIVE: Unintentional injuries are the leading cause of hospitalization and death among children. Compared to environmental factors, less attention in injury preventive efforts has been paid to how individual characteristics relate to the risk of injury. Using a large prospective cohort, the current study assessed the longitudinal impact of early-life temperament on the cumulative number of injuries until mid-adolescence. METHODS: The data came from the European Longitudinal Study of Pregnancy and Childhood (ELSPAC-CZ). Temperament was evaluated by mothers when children were 3 years old (N = 3,545). The main outcome was the pediatrician-reported sum of child's injuries from age 3 to 15 (seven timepoints). Latent profile analysis (LPA) was used to determine classes based on temperamental dimensions and then extended to a mixture model with a distal count outcome. The covariates included maternal conflict and attachment, sex, family structure, and maternal education. RESULTS: The LPA determined the existence of three classes: shy children (8.1% of the sample; lowest activity/highest shyness), outgoing children (50.8%; highest activity/lowest shyness), and average: children (41.1%; middle values). Results from a mixture model showed that the outgoing temperament was associated with the highest longitudinal risk for injuries, as both average children (IRR = 0.89 [0.80, 0.99]), and the shy children (IRR = 0.80 [0.68, 0.95]) had lower risk. CONCLUSIONS: Early childhood temperamental differences can have long-term effects on injury risk. Highly active children showed the highest risk for future injuries, suggesting that these characteristics make them more likely to be involved in novel and potentially dangerous situations.

• MeSH
• dítě MeSH
• lidé MeSH
• longitudinální studie MeSH
• matky * MeSH
• mladiství MeSH
• předškolní dítě MeSH
• prospektivní studie MeSH
• rizikové faktory MeSH
• těhotenství MeSH
• temperament * MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• předškolní dítě MeSH
• těhotenství MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Numerous studies reported higher levels of mental health issues during the COVID-19 pandemic but only a minority used repeated measurements. We investigated change in depressive symptoms in the Czech ageing cohort and the impact of pre-existing and COVID-19-related stressors. METHODS: We used data on 2853 participants (mean age 73.4 years) from the Czech part of the prospective Health, Alcohol and Psychosocial factors In Eastern Europe cohort that participated in postal questionnaire surveys before (September 2017-June 2018) and during the pandemic (October 2020-April 2021). Participants reported their depressive symptoms using the Centre for Epidemiological Studies-Depression Scale including 10 (CESD-10) tool. A principal component analysis (PCA) was used to create representative components of the pandemic-related stressors. The impact of the stressors on change in depressive symptoms was tested using multivariable linear regression, after adjustment for age and potential confounders. RESULTS: Three patterns of the pandemic-related stressors ('financial stressors', 'social and perception stressors' and 'death and hospitalisation stressors') were extracted from the PCA. The mean CESD-10 score increased from 4.90 to 5.37 (p<0.001). In fully adjusted models, significantly larger increases in depression score were reported by older people (β=0.052; p=0.006), those with poor self-rated health (β=0.170; p<0.001), those who experienced death or hospitalisation of a close person (β=0.064; p<0.001), social deprivation (β=0.057; p<0.001), delays in healthcare (β=0.048; p=0.005) and those who suffered from COVID-19 (β=0.045; p=0.008). CONCLUSION: This study confirms an increase in depressive symptoms in older persons during the pandemic and identified several pandemic-related risk factors suggesting that public health policies should address this vulnerable group by adopting the preventing strategies.

• MeSH
• COVID-19 * epidemiologie   MeSH
• deprese epidemiologie   MeSH
• kohortové studie MeSH
• lidé MeSH
• pandemie MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Check Tag
• lidé MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika MeSH

• Publikační typ
• abstrakt z konference MeSH

• MeSH
• diabetes mellitus * epidemiologie   MeSH
• hypertenze * epidemiologie   MeSH
• látky znečišťující vzduch * analýza   MeSH
• lidé MeSH
• oxid dusičitý analýza   MeSH
• pevné částice analýza   MeSH
• prevalence MeSH
• vystavení vlivu životního prostředí analýza   MeSH
• životní styl MeSH
• znečištění ovzduší * analýza   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

OBJECTIVES: We investigated whether social gradient in all-cause mortality in the Czech Republic changed during the postcommunist transition by comparing two cohorts, recruited before and after the political changes in 1989. METHODS: Participants (aged 25-64 years) in two population surveys (n=2530 in 1985, n=2294 in 1992) were followed up for mortality for 15 years (291 and 281 deaths, respectively). Education was classified into attainment categories and years of schooling (both continuous and in tertiles). Cox regression was used to estimate HR of death by educational indices in each cohort over a 15-year follow-up. RESULTS: All three educational variables were significantly associated with reduced risk of death in both cohorts when men and women were combined; for example, the adjusted HRs of death in the highest versus lowest tertile of years of schooling were 0.65 (95% CI 0.47 to 0.89) in 1985 and 0.67 (95% CI 0.48 to 0.93) in 1992. Adjustment for covariates attenuated the gradients. In sex-specific analysis, the gradient was more pronounced and statistically significant in men. There were no significant interactions between cohort and educational indices. CONCLUSIONS: The educational gradient in mortality did not differ between the two cohorts (1985 vs 1992), suggesting no major increase in educational inequality during the early stage of postcommunist transition. Further research is needed to understand trends in health inequalities during socioeconomic transitions.

• MeSH
• kohortové studie MeSH
• lidé MeSH
• příčina smrti * MeSH
• socioekonomické faktory MeSH
• stupeň vzdělání MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika MeSH