BACKGROUND: The prevalence of metabolic syndrome (MetS) has increased rapidly, with considerable variation between European countries. The study examined the relationship between air pollutants, greenspace, and MetS and its components in the Czech and Swiss populations. METHODS: Cross-sectional data from the Czech Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) (n = 4,931) and the Swiss cohort Study on Air Pollution and Lung and Heart Diseases in Adults (SAPALDIA) (n = 4,422) cohorts included participants aged 44-73 years. MetS was defined as abdominal obesity plus two additional components (hypertension, diabetes, low high-density lipoprotein cholesterol, and elevated triglycerides). Annual mean concentrations of PM10, PM2.5, NO2, and greenspace (defined as the annual mean of normalized difference vegetation index within 500 m) were assigned to the individual residential level. We estimated odds ratios (OR) using multivariable logistic regressions with cluster-robust standard error, controlling for multiple confounders. RESULTS: The prevalence of MetS was significantly higher in the Czech (51.1%) compared with Swiss (35.8%) population as were the concentration means of PM10 and PM2.5. In HAPIEE, a 5 μg/m3 increase in PM2.5 was associated with 14% higher odds of MetS (OR = 1.14; 95% confidence interval [CI] = 1.01, 1.28). In SAPALDIA, no evidence was found for the associations between air pollutants and MetS (e.g. OR = 1.01; 95% CI = 0.90, 1.13 for PM2.5). No protective effects of normalized difference vegetation index on MetS were observed. Upon inspection of MetS components, PM2.5 and PM10 exposures were associated with higher odds of hypertension and elevated triglycerides in HAPIEE only, while PM2.5, PM10, and NO2 were associated with higher odds of diabetes in SAPALDIA only. CONCLUSION: Individuals with higher exposures to PM2.5 may be at higher risk of MetS. The differential associations with MetS components between the cohorts deserve further investigation.

• Keywords
• Air pollution, Cross-sectional design, Greenspace, Metabolic syndrome, Particulate matter,
• Publication type
• Journal Article MeSH

BACKGROUND: Despite accessible diagnostics and treatment of hypertension, a high proportion of patients worldwide remain unaware of their diagnosis, and even more remain untreated. Several studies suggest that absence of comorbidities is a predictive factor for unawareness and consequently non-treatment of hypertension. There are only a few studies that have assessed the hypertension prevalence and management among apparently healthy individuals. OBJECTIVE: The aim of the study was to assess and compare hypertension prevalence, awareness, treatment and control among apparently healthy individuals, patients with internal diseases, and patients with non-internal diseases. METHODS: Data from standardised blood pressure measurements conducted during the Czech European Health Examination Survey 2014 and information on health status and health care use collected during the Czech European Health Interview Survey 2014 were analyzed. We focused on participants aged 25-64. Data were weighted on sex and age to ensure an appropriate sex and age structure of the population. The χ2-test and binary logistic regression analyses were used to compare distribution of cascade of care for hypertension between the health-status groups of respondents. RESULTS: The final eligible sample consisted of 1121 participants. The prevalence of hypertension was 32.8% in the healthy group, 29.8% in the non-internal disease group and 52.4% in the internal disease group, (p < 0.001). Awareness was 54.1%, 59.1% and 85.2% respectively, (p < 0.001). Treatment was 44.2%, 52.6% and 86.4%, respectively, (p < 0.001). Among apparently healthy respondents 62.6% had their blood pressure measured by a medical professional in the last year, compared to 71.1% in the non-internal disease group and 91.7% in the internal disease group, (p < 0.001). Differences in hypertension control were not statistically significant. CONCLUSIONS: Generally, our data show a discordance in hypertension management within the Czech population. Apparently healthy individuals are the least aware of their diagnosis and the highest proportion of them remain untreated.

• MeSH
• Adult MeSH
• Hypertension * epidemiology   therapy   diagnosis   MeSH
• Blood Pressure MeSH
• Middle Aged MeSH
• Humans MeSH
• Prevalence MeSH
• Health Knowledge, Attitudes, Practice MeSH
• Health Surveys MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Czech Republic epidemiology   MeSH

OBJECTIVE: To provide an assessment of the cost burden of obesity across a spectrum of obesity-related comorbidities (ORCs) for four countries in South-Eastern Europe (SEE). METHODS: A micro-costing analysis from the public payer perspective was conducted to estimate direct healthcare costs associated with ten obesity-related comorbidities (ORCs) in Czech Republic, Greece, Hungary, and Romania. A survey was administered to obtain healthcare resource use and unit cost data. Cost estimates were validated by local steering committees which comprised at least one public sector clinician and a panel of independent industry experts. RESULTS: Chronic kidney disease and cardiovascular diseases were the costliest ORCs across all 4 countries, where annual cost burden per ORC exceeded 1,500 USD per patient per year. In general, costs were driven by the tertiary care resources allocated to address treatment-related adverse events, disease complications, and associated inpatient procedures. CONCLUSIONS: Our findings confirm that the high prevalence of obesity and its comorbidities result in substantial financial burden to all 4 SEE public payers. By quantifying the burden of obesity from a public healthcare perspective, our study aims to support policy efforts that promote health education and promotion in combating obesity in the region.

• Keywords
• Cost analysis, Economic burden, Financial costs, Obesity,
• MeSH
• Financial Stress * MeSH
• Humans MeSH
• Health Care Costs MeSH
• Obesity epidemiology   MeSH
• Cost of Illness MeSH
• Health Promotion * MeSH
• Prevalence MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH