OBJECTIVES: A growing body of research has incorporated the Social Vulnerability Index (SVI) into an expanded understanding of the social determinants of health. Although each component of SVI and its association with individual-level mental health conditions have been well discussed, variation in mentally unhealthy days (MUDs) at a county level is still unexplored. To systematically examine the geographically varying relationships between SVI and MUDs across the US counties, our study adopted two different methods: 1) aspatial regression modeling (ordinary least square [OLS]); and 2) locally calibrated spatial regression (geographically weighted regression [GWR]). STUDY DESIGN: This study used a cross-sectional statistical design and geospatial data manipulation/analysis techniques. Analytical unit is each of the 3109 counties in the continental USA. METHODS: We tested the model performance of two different methods and suggest using both methods to reduce potential issues (e.g., Simpson's paradox) when researchers apply aspatial analysis to spatially coded data sets. We applied GWR after checking the spatial dependence of residuals and non-stationary issues in OLS. GWR split a single OLS equation into 3109 equations for each county. RESULTS: Among 15 SVI variables, a combination of eight variables showed the best model performance. Notably, unemployment, person with a disability, and single-parent households with children aged under 18 years especially impacted the variation of MUDs in OLS. GWR showed better model performance than OLS and specified each county's varying relationships between subcomponents of SVI and MUDs. For example, GWR specified that 69.3% (2157 of 3109) of counties showed positive relationships between single-parent households and MUDs across the USA. Higher positive relationships were concentrated in Michigan, Kansas, Texas, and Louisiana. CONCLUSIONS: Our findings could contribute to the literature regarding social determinants of community mental health by specifying spatially varying relationships between SVI and MUDs across US counties. Regarding policy implementation, in counties containing more social and physical minorities (e.g., single-parent households and disabled population), policymakers should attend to these groups of people and increase intervention programs to reduce potential or current mental health illness. The results of GWR could help policymakers determine the specific counties that need more support to reduce regional mental health disparities.

• MeSH
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• prostorová analýza MeSH
• prostorová regrese * MeSH
• průřezové studie MeSH
• sociální zranitelnost * MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Michigan MeSH

Délka ruky je vhodným tělesným rozměrem pro odhad výšky postavy ve forenzní antropologii. Takový odhad výšky postavy je však vždy ohrožen populační specifitou běžně užívaných regresních rovnic vypočítaných metodou nejmenších čtverců. Na základě dříve publikovaných statistických parametrů (průměrné hodnoty délky ruky a výšky postavy, regresní koeficienty) z 87 publikovaných studií (212 populačních vzorků) jsme metodami průměrování regresních koeficientů a redukované hlavní osy vytvořili soubor nových transpopulačních rovnic pro odhad výšky postavy z délky ruky. Následně jsme ověřovali přesnost odhadů z těchto nových rovnic na pěti referenčních vzorcích z české, slovenské a bosenské populace a porovnali jejich výsledky s výsledky modelu metody nejmenších čtverců, vyvinuté na českém vzorku. Výsledky ukázaly, že navržené transpopulační rovnice nejsou vhodné pro odhad výšky postavy z délky ruky, pokud nejsou omezeny např. na geograficky užší populační skupinu (v naší studii Evropané slovanského původu). Principiálně obdobné konsekvence doporučujeme zvážit také u odhadů u délek kostí při hodnocení výšky postavy na základě forenzních nálezů skeletu

t has been established that hand length is a suitable parameter for stature estimation in forensic anthropology. However, such estimation is always compromised by population specificity of ordinary regression equations. Based on previously published statistical param- eters (average values, regression coefficients) from 87 studies (212 different samples) available in literature, we developed a set of new cross- population equations for estimation of body height from the hand length (Reduced Major Axis Models, Average Regression Models). Sub- sequently, we tested the accuracy and preciseness of these new equations on five testing samples of primary measurements originating from Czech, Slovak and Bosnian populations and compared the height estimates with the results of traditional Least Squares methods developed on a Czech sample. The results showed that cross-population based models are not suitable for body height estimation from hand length unless they are limited to a narrower geographically confined population group (in our study Europeans of Slavic origin). We propose considering principally similar consequences when estimating the body height from a bone length in forensic skeletal cases.

• Klíčová slova
• odhad výšky postavy,
• MeSH
• lidé MeSH
• regresní analýza MeSH
• ruka MeSH
• soudní antropologie metody   MeSH
• tělesná výška * MeSH
• tělesné váhy a míry MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• práce podpořená grantem MeSH

We report analysis of data on outdoor air pollution and respiratory symptoms in children collected in the Czech part of the international Small Area Variations in Air pollution and Health (SAVIAH) Project, a methodological study designed to test the use of geographical information systems (GIS) in studies of environmental exposures and health at small area level. We collected the following data in two districts of Prague: (1) individual data on 3,680 children (response rate 88%) by questionnaires; (2) census-based socio-demographic data for small geographical units; (3) concentrations of nitrogen dioxide (NO2) and sulfur dioxide (SO2) measured by passive samplers in three 2-week surveys at 80 and 50 locations, respectively. We integrated all data into a geographical information system. Modeling of NO2 and SO2 allowed estimation of exposure to outdoor NO2 and SO2 at school and at home for each child. We examined the associations between air pollution and prevalence of wheezing or whistling in the chest in the last 12 months by logistic regression at individual level, weighted least squares regression at small area (ecological) level and multilevel modeling. The results varied by the level of analysis and method of exposure estimation. In multilevel analyses using individual data, odds ratios per 10 microg/m3 increase in concentrations were 1.16 (95% CI = 0.95-1.42) for NO2, and 1.08 (95% CI = 0.97-1.21) for SO2. While mapping of spatial distribution of NO2 and SO2 in the study area appeared valid, the interpolation from outdoor to personal exposures requires consideration.

• MeSH
• dítě MeSH
• látky znečišťující vzduch škodlivé účinky   analýza   MeSH
• lidé MeSH
• lineární modely MeSH
• oxid dusičitý škodlivé účinky   analýza   MeSH
• oxid siřičitý škodlivé účinky   analýza   MeSH
• poruchy dýchání chemicky indukované   epidemiologie   MeSH
• prevalence MeSH
• průzkumy a dotazníky MeSH
• respirační zvuky * MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika MeSH

OBJECTIVES: The aim of this study is to determine the risk factors of childhood diarrhoea in Turkey throughout Turkey Demographic and Health Survey (DHS) 1998 and 2008 data. METHODS: This study is a further analysis of the database of children under 5 years of age from the Turkey Demographic and Health Survey. Binomial logistic regression and Chi square analysis were used by weighted data of Turkey Demographic and Health Surveys. RESULTS: In 1998 DHS there were 3,459 and in 2008 DHS 3,463 children under 5 years of age. Diarrhoea prevalence was 30.1% and 18.3%, respectively. Multivariate analysis revealed that household wealth status index, region, mother's education, mother's age (15-19 age), age (under 2 years of age), and sex (male) of the child were the risk factors for 1998 DHS. In 2008 significant risk factors were geographic region, education of the mother and father, breastfeeding status of the child (still being breastfed), mother's age (20-29 age group), and age of child (under 2 years of age). CONCLUSIONS: As a result, patterns of the risk factors of diarrhoea has changed from 1998 to 2008 DHS in Turkey. However, impact of factors related with socioeconomic environment such as region and mother's education persisted.

• MeSH
• charakteristiky bydlení * MeSH
• kojenec MeSH
• lidé MeSH
• logistické modely MeSH
• novorozenec MeSH
• předškolní dítě MeSH
• prevalence MeSH
• průjem epidemiologie   MeSH
• rizikové faktory MeSH
• socioekonomické faktory MeSH
• zdravotnické přehledy MeSH
• Check Tag
• kojenec MeSH
• lidé MeSH
• mužské pohlaví MeSH
• novorozenec MeSH
• předškolní dítě MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Turecko MeSH

Scots pine (Pinus sylvestris L.) is a widespread tolerant forest tree-species; however, its adaptability to environmental change differs among sites with various buffering capacity. In this study, we compared the spatial effects of aridity index (AI) and nitrogen deposition (ND) on biomass density in natural and man-made pine stands of differing soil fertility using geographically weighted multiple lag regression. Soil fertility was defined using soil series as zonal trophic (27.9%), acidic (48.2%), gleyed (15.2%) and as azonal exposed (2.5%), maple (2.4%), ash (0.8%), wet (2.1%) and peat (0.9%) under pine stands in the Czech Republic (Central Europe; 4290.5 km2; 130-1298 m a.s.l.). Annual AI and ND in every pine stand were estimated by intersection between raster and vector from 1 × 1 km grid for years 2000, 2003, 2007 and 2010 of severe non-specific forest damage spread. Biomass density was obtained from a MODIS 250 × 250 m raster using the enhanced vegetation index (EVI) for years 2000-2015, with a decrease in EVI indicating non-specific damage. Environmental change was assessed by comparing predictor values at EVI time t and t+λ. Non-specific damage was registered over 51.9% of total forest area. Less than 8.8% of damaged stands were natural and the rest (91.2%) of damaged stands were man-made. Pure pine stands were more damaged than mixed. The ND effect prevailed up to 2007, while AI dominated later. Temporal increasing ND effect under AI effectiveness led to the most significant pine stand damage in 2008 and 2014. Predictors from 2000 to 2007 afflicted 58.5% of non-specifically damaged stands at R2 0.09-0.76 (median 0.38), but from 2000 to 2010 afflicted 57.1% of the stands at R2 0.16-0.75 (median 0.40). The most damaged stands occurred on acidic sites. Mixed forest and sustainable management on natural sites seem as effective remediation reducing damage by ND.

• MeSH
• borovice lesní * MeSH
• borovice * MeSH
• dusík MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH
• Evropa MeSH

• MeSH
• kardiovaskulární nemoci terapie   MeSH
• klinické zkoušky jako téma MeSH
• medicína založená na důkazech MeSH
• průřezové studie MeSH
• Publikační typ
• klinické zkoušky MeSH

• Konspekt
• Patologie. Klinická medicína
• NLK Obory
• kardiologie
• angiologie
• NLK Publikační typ
• analýzy
• studie

The taxonomy of several genera of the tribe Dicerurini (subfamily Porricondylinae) is revisited, induced by the discovery of 11 new species in Malaise catches of various provenances. The bulk of the specimens interpreted here is of Swedish origin. Species described as new to science are Desertepidosis grytsjoenensis sp. nov. (from Sweden), D. robusta sp. nov. (Sweden), Linnaeomyia pratensis sp. nov. (Czech Republic), Neurepidosis ekdalensis sp. nov. (Sweden), N. emarginata sp. nov. (Sweden, Czech Republic), N. hybrida sp. nov. (Sweden), Tetraneuromyia brevipalpis sp. nov. (Sweden, Slovak Republic), T. discrepans sp. nov. (Sweden), T. errata sp. nov. (Sweden), and T. lapponica sp. nov. (Sweden). A new genus, Gardenforsia gen. nov., is introduced for G. oelandica sp. nov. (Sweden), a new species with regressive male morphology. The generic definitions of Desertepidosis Mamaev Soyunov, 1989 (including Ubinomyia Mamaev, 1990 syn. nov. as new junior synonym) and Linnaeomyia Jaschhof Jaschhof, 2015 are revised. A key to males of Desertepidosis is presented. New information on the morphology and geographic distribution is provided for Linnaeomyia hortensis Jaschhof Jaschhof, 2015; Tetraneuromyia bulbifera Mamaev, 1964; and T. lamellata Spungis, 1987.

• MeSH
• anatomické struktury zvířat MeSH
• Diptera * MeSH
• rozšíření zvířat MeSH
• velikost orgánu MeSH
• velikost těla MeSH
• zvířata MeSH
• Check Tag
• mužské pohlaví MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH
• Evropa MeSH
• Slovenská republika MeSH
• Švédsko MeSH

INTRODUCTION: Published prevalence rates of congenital diaphragmatic hernia (CDH) vary. This study aims to describe the epidemiology of CDH using data from high-quality, population-based registers belonging to the European Surveillance of Congenital Anomalies (EUROCAT). METHODS: Cases of CDH delivered between 1980 and 2009 notified to 31 EUROCAT registers formed the population-based case series. Prevalence over time was estimated using multilevel Poisson regression, and heterogeneity between registers was evaluated from the random component of the intercept. RESULTS: There were 3373 CDH cases reported among 12 155 491 registered births. Of 3131 singleton cases, 353 (10.4%) were associated with a chromosomal anomaly, genetic syndrome or microdeletion, 784 (28.2%) were associated with other major structural anomalies. The male to female ratio of CDH cases overall was 1:0.69. Total prevalence was 2.3 (95% CI 2.2 to 2.4) per 10 000 births and 1.6 (95% CI 1.6 to 1.7) for isolated CDH cases. There was a small but significant increase (relative risk (per year)=1.01, 95% credible interval 1.00-1.01; p=0.030) in the prevalence of total CDH over time but there was no significant increase for isolated cases (ie, CDH cases that did not occur with any other congenital anomaly). There was significant variation in total and isolated CDH prevalence between registers. The proportion of cases that survived to 1 week was 69.3% (1392 cases) for total CDH cases and 72.7% (1107) for isolated cases. CONCLUSIONS: This large population-based study found an increase in total CDH prevalence over time. CDH prevalence also varied significantly according to geographical location. No significant association was found with maternal age.

• MeSH
• analýza přežití MeSH
• dospělí MeSH
• gestační stáří MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mnohočetné abnormality epidemiologie   MeSH
• novorozenec MeSH
• porodní hmotnost MeSH
• prevalence MeSH
• registrace MeSH
• surveillance populace MeSH
• věk matky MeSH
• vrozená brániční kýla epidemiologie   MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• novorozenec MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Evropa MeSH

BACKGROUND: The long-term exposure to pollutants in ambient air is associated with higher mortality and occurrence of respiratory and cardiopulmonary diseases. The longitudinal cross-section study focuses on the associations between long-term exposures to carcinogenic and non-carcinogenic pollutants and the prevalence and incidence of such specific diseases including immunodeficiencies. METHODS: The data on health status from industrial and non-industrial regions were obtained from health documentation for a 5-year period from 2007 to 2011 and represent the whole population living in polluted (1,249,323 inhabitants) and unpolluted (631,387 inhabitants) regions. The data on concentrations of PM10, PM2,5, NO2, SO2, benzene and benzo[a]pyrene were collected. The concentrations of pollutants were estimated from measured data by using dispersion models. The average population-weighted concentration of pollutants, which is representative for a defined geographic area and time period from 2007 to 2011, was calculated from the obtained data. The logistic regression and the Mantel-Haenszel χ2 test were used to determine the odds ratios (OR) and p-values for a linear trend. Moreover, the relative risks of mortality and morbidity to specific diseases were calculated according to theoretical dose-response association published by World Health Organization (WHO). RESULTS: The probability of incidence of chronic obstructive pulmonary disease and bronchial asthma is statistically significantly higher in the population living in the polluted region compared to the population living in the unpolluted region. The association between long-term exposure to pollutants and the prevalence of immunodeficiency with predominantly antibody defects (D80) was confirmed. The strongest association was found for exposures to particulate matter (PM2,5). The prevalence of immunodeficiency with predominantly antibody defects was also observed in both regions depending on the age of the population and statistically significant difference was only found in the group of adults (20 and over). CONCLUSION: These associations encourage the hypothesis, that the long-term exposure to PM2.5 might cause the activation of cellular immune response. Further research is needed to explore the correlative immunoregulatory mechanism linking PM2.5 (or other pollutants - SO2) and immune cells. Nowadays, it is also believed that these associations are important in the increase of incidence of immune inflammatory response which is proven risk factor for cardiovascular disease (atherosclerotic disease, coronary heart disease and sudden cardiac death). Positive association between long-term exposure and prevalence of bronchial asthma and chronic obstructive pulmonary disease might be skewed due to important socio-economic factors (especially smoking).

• MeSH
• incidence MeSH
• karcinogeny toxicita   MeSH
• kardiovaskulární nemoci chemicky indukované   epidemiologie   MeSH
• látky znečišťující vzduch toxicita   MeSH
• lidé MeSH
• longitudinální studie MeSH
• monitorování životního prostředí MeSH
• prevalence MeSH
• průřezové studie MeSH
• vystavení vlivu životního prostředí * MeSH
• znečištění ovzduší * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH

BACKGROUND: COVID-19 affected people and countries disproportionately and continues to impact the health of people. The aim is to investigate protective health and socio-geographical factors for post-COVID-19 conditions in adults aged 50 years and older in Europe. METHODS: Using longitudinal data from the Survey of Health, Ageing and Retirement in Europe, collected from June to August 2021, protective factors against post-COVID-19 condition among 1909 respondents who self-reported a positive COVID-19 test result were investigated using multiple logistic regression models. RESULTS: Male adults living outside of Czechia, Poland, Hungary and Slovakia (Visegrad group, V4), who received the COVID-19 vaccination, tertiary or higher education, had a healthy weight (body mass index, BMI 18.5-24.9 kg/m2) and no underlying health condition/s, showed protective effects against post-COVID-19 condition. Health inequalities associated with BMI were observed in education attainment and comorbidities, with higher BMI having lower education attainment and higher comorbidities. Health inequality was particularly evident in individuals in V4 with higher obesity prevalence and lower attainment of higher education than those living in other regions in the study. CONCLUSION: Our study suggests that healthy weight and higher education attainment are predictors associated with a lower incidence of post-COVID-19 condition. Health inequality associated with education attainment was particularly relevant in V4. Our results highlight health inequality in which BMI was associated with comorbidities and educational attainment. To reduce obesity prevalence among older people with lower education, raising awareness about the risks of obesity and providing assistance in maintaining a healthy weight are needed.

• MeSH
• COVID-19 * epidemiologie   MeSH
• disparity zdravotního stavu * MeSH
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• obezita epidemiologie   MeSH
• senioři MeSH
• socioekonomické faktory MeSH
• vakcíny proti COVID-19 MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Geografické názvy
• Evropa MeSH