Presentation and outcome of patients with acute coronary syndromes in eastern Nepal

The burden of ischemic heart disease (IHD) in developing countries is on the rise, due to urbanisation, industrialisation and the low availability of evidence based therapies and interventions.

A prediction model for assessing residential radon concentration in Switzerland

Indoor radon is regularly measured in Switzerland. However, a nationwide model to predict residential radon levels has not been developed. The aim of this study was to develop a prediction model to assess indoor radon concentrations in Switzerland. The model was based on 44,631 measurements from the nationwide Swiss radon database collected between 1994 and 2004. Of these, 80% randomly selected measurements were used for model development and the remaining 20% for an independent model validation. A multivariable log-linear regression model was fitted and relevant predictors selected according to evidence from the literature, the adjusted R², the Akaike's information criterion (AIC), and the Bayesian information criterion (BIC). The prediction model was evaluated by calculating Spearman rank correlation between measured and predicted values. Additionally, the predicted values were categorised into three categories (50th, 50th-90th and 90th percentile) and compared with measured categories using a weighted Kappa statistic. The most relevant predictors for indoor radon levels were tectonic units and year of construction of the building, followed by soil texture, degree of urbanisation, floor of the building where the measurement was taken and housing type (P-values <0.001 for all). Mean predicted radon values (geometric mean) were 66 Bq/m³ (interquartile range 40-111 Bq/m³) in the lowest exposure category, 126 Bq/m³ (69-215 Bq/m³) in the medium category, and 219 Bq/m³ (108-427 Bq/m³) in the highest category. Spearman correlation between predictions and measurements was 0.45 (95%-CI: 0.44; 0.46) for the development dataset and 0.44 (95%-CI: 0.42; 0.46) for the validation dataset. Kappa coefficients were 0.31 for the development and 0.30 for the validation dataset, respectively. The model explained 20% overall variability (adjusted R²). In conclusion, this residential radon prediction model, based on a large number of measurements, was demonstrated to be robust through validation with an independent dataset. The model is appropriate for predicting radon level exposure of the Swiss population in epidemiological research. Nevertheless, some exposure misclassification and regression to the mean is unavoidable and should be taken into account in future applications of the model.

Population mixing and the risk of childhood leukaemia in Switzerland: a census-based cohort study.

Childhood leukaemia (CL) may have an infectious cause and population mixing may therefore increase the risk of CL. We aimed to determine whether CL was associated with population mixing in Switzerland. We followed children aged <16 years in the Swiss National Cohort 1990-2008 and linked CL cases from the Swiss Childhood Cancer Registry to the cohort. We calculated adjusted hazard ratios (HRs) for all CL, CL at age <5 years and acute lymphoblastic leukaemia (ALL) for three measures of population mixing (population growth, in-migration and diversity of origin), stratified by degree of urbanisation. Measures of population mixing were calculated for all municipalities for the 5-year period preceding the 1990 and 2000 censuses. Analyses were based on 2,128,012 children of whom 536 developed CL. HRs comparing highest with lowest quintile of population growth were 1.11 [95 % confidence interval (CI) 0.65-1.89] in rural and 0.59 (95 % CI 0.43-0.81) in urban municipalities (interaction: p = 0.271). Results were similar for ALL and for CL at age <5 years. For level of in-migration there was evidence of a negative association with ALL. HRs comparing highest with lowest quintile were 0.60 (95 % CI 0.41-0.87) in urban and 0.61 (95 % CI 0.30-1.21) in rural settings. There was little evidence of an association with diversity of origin. This nationwide cohort study of the association between CL and population growth, in-migration and diversity of origin provides little support for the population mixing hypothesis.

Parks of the future: Protected areas in Europe challenging regional and global change

Climate change, declines in biodiversity, increasing consumption of resources, urbanisation, urban sprawl and demographic change continue to challenge theregions of Europe. In response to these processes of regional and global change, there has been an unmistakeable boom in parks in Europe since the 1990s. Morethan a fifth of the continent is now protected using designations such as regionalnature parks, national parks, UNESCO Biosphere Reserves and World Heritagesites. The responsibilities of these areas are usually diverse and, in addition tonature protection and the conservation of cultural landscapes, increasingly involvethe promotion of sustainable development. In the 22 chapters of this volume, 28 authors from all over Europe analyse and comment on experiences of tackling the challenges of regional and global changein parks. They illustrate discussions with selected case studies and deal with keyissues of current protected area policy: How do parks address the pending challengesand what successes have they had thus far? What pioneering approaches are there in spatial planning and regional development? Which forms of park managementand governance are most promising? This informative and well-illustratedbook also considers which tasks will be assumed by parks in the future and whatroles parks may play in the debate concerning transformations required to promotesustainability in Europe.

Institutionelle Regeln oder politische Kultur? Faktoren der parlamentarischen Mitgliederfluktuation in der Schweiz

Die Frage, ob es institutionelle Regeln oder Merkmale der politischen Kultur sind, die den personellen Wechsel in Parlamenten erklären, wird auf subnationaler Ebene für alle 26 kantonalen Legislativen der Schweiz für den Zeitraum zwischen 1960 und 2012 untersucht. Die Befunde zeigen, dass sowohl institutionelle Rahmenbedingungen als auch kulturelle Merkmale bedeutende Beiträge zur Erklärung der kantonalen Unterschiede der Parlamentsfluktuation bieten. Während Massnahmen wie die Senkung der Anzahl Parlamentsmandate und die Amtszeitbeschränkung einen direkten und starken Einfluss auf die Fluktuationsrate haben, erweisen sich die Höhe der finanziellen Vergütungen und institutionelle Regeln zur Stärkung des Parlaments gegenüber der Exekutive ohne nachhaltigen Einfluss. Langfristige politisch-kulturelle Merkmale wie die Zugehörigkeit zu einem Sprachraum sind mindestens ebenso wichtig wie einzelne institutionelle Arrangements. Als relativ unbedeutend zur Erklärung der kantonalen Niveauunterschiede parlamentarischer Mitgliederfluktuation erweisen sich sozioökonomische und demographische Faktoren – mit Ausnahme des Urbanisierungsgrads.

Temporal association between childhood leukaemia and population growth in Swiss municipalities.

The population mixing hypothesis proposes that childhood leukaemia (CL) might be a rare complication of a yet unidentified subclinical infection. Large population influxes into previously isolated rural areas may foster localised epidemics of the postulated infection causing a subsequent increase of CL. While marked population growth after a period of stability was central to the formulation of the hypothesis and to the early studies on population mixing, there is a lack of objective criteria to define such growth patterns. We aimed to determine whether periods of marked population growth coincided with increases in the risk of CL in Swiss municipalities. We identified incident cases of CL aged 0-15 years for the period 1985-2010 from the Swiss Childhood Cancer Registry. Annual data on population counts in Swiss municipalities were obtained for 1980-2010. As exposures, we defined (1) cumulative population growth during a 5-year moving time window centred on each year (1985-2010) and (2) periods of 'take-off growth' identified by segmented linear regression. We compared CL incidence across exposure categories using Poisson regression and tested for effect modification by degree of urbanisation. Our study included 1500 incident cases and 2561 municipalities. The incident rate ratio (IRR) comparing the highest to the lowest quintile of 5-year population growth was 1.18 (95 % CI 0.96, 1.46) in all municipalities and 1.33 (95 % CI 0.93, 1.92) in rural municipalities (p value interaction 0.36). In municipalities with take-off growth, the IRR comparing the take-off period (>6 % annual population growth) with the initial period of low or negative growth (<2 %) was 2.07 (95 % CI 0.95, 4.51) overall and 2.99 (1.11, 8.05) in rural areas (p interaction 0.52). Our study provides further support for the population mixing hypothesis and underlines the need to distinguish take-off growth from other growth patterns in future research.