Should we adjust for seasonality in food consumption surveys? The answer in Switzerland.

Background : Due to market globalization and high availability of various foods throughout the year, adjustment for seasonality at food level may have become unnecessary. Objective : To describe food consumption across seasons using data from the first National Nutrition Survey in Switzerland. Methods : National population-based cross-sectional survey included the three linguistic regions of Switzerland

Major Differences in Diet across Three Linguistic Regions of Switzerland: Results from the First National Nutrition Survey menuCH.

Switzerland is a multilingual country located between Germany, France and Italy, which differ by dietary habits and related outcomes. We explored differences in food consumption as well as compliance to the Swiss food-based dietary guidelines (FBDG) across the German-, French-, and Italian-speaking regions. The 2014-2015 nationwide cross-sectional survey was conducted among a stratified random sample of 2057 adults aged 18 to 75 years. Trained dietitians assessed food consumption via two non-consecutive 24-h dietary recalls using the international validated software GloboDiet <sup>®</sup> . Recorded foods and beverages were classified into six groups and 31 subgroups relevant for assessing compliance to the FBDG (Swiss Food Pyramid). Usual daily intake distributions were modelled and weighted for sampling design, non-response, weekdays and season. Participation rate was 38%. Significant differences across regions were observed in 18 of 31 food subgroups ( <i>p</i> ≤ 0.01). Weighted mean daily intakes in the German-, French- and Italian-speaking regions were, respectively, 245 g, 155 g, 140 g for soft drinks, 273 g, 214 g, 135 g for coffee, 127 g, 72 g, 109 g for milk, 32 g, 45 g, 43 g for red meat, 18 g, 29 g, 34 g for fish/seafood, 8.1 g, 6.4 g, 3.7 g for butter, and 206 g, 214 g, 168 g for vegetables. The seven FBDGs were followed by <1% of the population. Four in 10 participants met ≥3 FBDG. Eighteen percent of participants ate ≥5 portions of fruit and vegetables a day, without regional differences. Food consumption substantially differed across the three linguistic regions of Switzerland. Adherence to FBDG was uniformly low. This highlights the potential influence of culture on diet. Nutritional education along with public health interventions are needed and may be most efficient if regionally targeted

Modifying effect of dual antiplatelet therapy on incidence of stent thrombosis according to implanted drug-eluting stent type

Aim To investigate the putative modifying effect of dual antiplatelet therapy (DAPT) use on the incidence of stent thrombosis at 3 years in patients randomized to Endeavor zotarolimus-eluting stent (E-ZES) or Cypher sirolimus-eluting stent (C-SES). Methods and results Of 8709 patients in PROTECT, 4357 were randomized to E-ZES and 4352 to C-SES. Aspirin was to be given indefinitely, and clopidogrel/ticlopidine for ≥3 months or up to 12 months after implantation. Main outcome measures were definite or probable stent thrombosis at 3 years. Multivariable Cox regression analysis was applied, with stent type, DAPT, and their interaction as the main outcome determinants. Dual antiplatelet therapy adherence remained the same in the E-ZES and C-SES groups (79.6% at 1 year, 32.8% at 2 years, and 21.6% at 3 years). We observed a statistically significant (P = 0.0052) heterogeneity in treatment effect of stent type in relation to DAPT. In the absence of DAPT, stent thrombosis was lower with E-ZES vs. C-SES (adjusted hazard ratio 0.38, 95% confidence interval 0.19, 0.75; P = 0.0056). In the presence of DAPT, no difference was found (1.18; 0.79, 1.77; P = 0.43). Conclusion A strong interaction was observed between drug-eluting stent type and DAPT use, most likely prompted by the vascular healing response induced by the implanted DES system. These results suggest that the incidence of stent thrombosis in DES trials should not be evaluated independently of DAPT use, and the optimal duration of DAPT will likely depend upon stent type (Clinicaltrials.gov number NCT00476957

Lessons Learnt About Conducting a Multilingual Nutrition Survey in Switzerland: Results from menuCH Pilot Survey.

This paper informs about the implementation of the first trilingual Swiss nutrition pilot survey and lessons learnt in terms of recruitment, participation, data collection feasibility, and data management. The population-based cross-sectional nutrition pilot survey took place between June and November 2013. Six trained dietitians interviewed 276 adults aged 18-75 years residing in the cantons of Bern (German), Vaud (French) or Ticino (Italian). Food consumption was assessed with two non-consecutive computer-assisted 24-Hour Dietary Recalls (24HDR), applying a trilingual version of GloboDiet® adapted to specific requirements of Switzerland. The first interview was face-to-face and included anthropometric measurements while the second was by phone. Quality controls consisted mainly in the descriptive analysis of data at food level, and the observation and rating of 21 interviews (4%) by coordinators. Net participation rate was 29%. Participants and non-participants were similar: mean [±SD] age was 49±16 and 47±16 years, and women proportion 49.6% and 49.8%, respectively. Training and data collection proved feasible and deliverable in the six months using the newly developed survey instruments. Dietitians followed the standard operating procedures. Quality controls on food consumption data showed comparable results between face-to-face and phone 24HDR, and across dietitians (median number of reported food items per 24HDR: 27). Procedures to transfer and clean food consumption data were developed. The implementation concept proved applicable in the trilingual Swiss context. Additional resources were planned for increasing participation rate and facilitating data cleaning

Parsec-scale jet properties of the quasar PG 1302−102

The quasar PG 1302$-$102 is believed to harbour a supermassive binary black hole (SMBBH) system. Using the available 15 GHz and $2-8$ GHz, multi-epoch Very Long Baseline Array data, we constrain the pc-scale jet properties based on the inferred mean proper motion, including a bulk Lorentz factor $\geq 5.1 \pm 0.8$, jet inclination angle $\leq (11.4 \pm 1.7)$ degrees, projected position angle $= 31.8$ degrees, intrinsic half opening angle $\leq (0.9 \pm 0.1)$ degrees and a mean $2-8$ GHz spectral index of 0.31. A general relativistic helical jet model is presented and applied to predict quasi-periodic oscillations of $\sim$ 10 days, power law power spectrum shape and a contribution of up to $\sim$ 53 percent to the observed variable core flux density. The model is used to make a case for high resolution, moderately sampled, long duration radio interferometric observations to reveal signatures due to helical knots and distinguish them from those due to SMBBH orbital activity including a phase difference $\sim \pi$ and an amplitude ratio (helical light curve amplitude/SMBBH light curve amplitude) of $0.2-3.3$. The prescription can be used to identify helical kinematic signatures from quasars, providing possible candidates for further studies with polarization measurements. It can also be used to infer promising SMBBH candidates for the study of gravitational waves if there are systematic deviations from helical signatures.Comment: 10 pages, 7 figures, 2 tables, accepted for publication in MNRA

Soil biogeochemistry across Central and South American tropical dry forests

The availability of nitrogen (N) and phosphorus (P) controls the flow of carbon (C) among plants, soils, and the atmosphere, thereby shaping terrestrial ecosystem responses to global change. Soil C, N, and P cycles are linked by drivers operating at multiple spatial and temporal scales: landscape-level variation in macroclimate, seasonality, and soil geochemistry; stand-scale heterogeneity in forest composition and structure; and microbial community dynamics at the soil pore scale. Yet in many biomes, we do not know at which scales most of the biogeochemical variation emerges, nor which processes drive cross-scale feedbacks. Here, we examined the drivers and spatial/temporal scales of variation in soil biogeochemistry across four tropical dry forests spanning steep gradients of climate, soil parent material, and plant community structure. To do so, we quantified soil C, N, and P pools, extracellular enzyme activities, and microbial community structure across wet and dry seasons in sixteen plots located in Colombia, Costa Rica, Mexico, and Puerto Rico. Soil biogeochemistry exhibited marked heterogeneity across the sixteen plots, with total organic C, N, and P pools varying four-fold, and inorganic nutrient pools by an order of magnitude. Most soil characteristics changed more across space (i.e., among sites and plots) than over time (between dry and wet season samplings). We observed stoichiometric decoupling among C, N, and P cycles, which may reflect their divergent biogeochemical drivers. Organic C and N pool sizes were positively correlated with the relative abundance of ectomycorrhizal trees and legumes. By contrast, the distribution of soil P pools was driven by soil geochemistry, with larger inorganic P pools in soils with P-rich parent material. Most earth system models assume that soils within a texture class operate similarly, and ignore sub-grid cell variation in soil properties. Here we reveal that soil nutrient pools and fluxes exhibit as much variation among four Neotropical dry forests as is observed across terrestrial ecosystems at the global scale. Thus, the biogeochemical patterns we observed across the Neotropical dry forest biome challenge representation of soil processes in ecosystem models. Methods We collected replicated soil samples (0-10 cm of mineral soil) from multiple plots in four tropical dry forests in Costa Rica, Mexico, Puerto Rico, and Colombia in the wet and dry season. All samples were analyzed for the following variables in the same laboratory: particle-size distribution, pH, nitrogen mineralization, microbial biomass carbon, microbial biomass nitrogen, microbial biomass phosphorus, soil mineralogy via selective dissolution analyses, soil phosphorus fractionations via a modified Hedley procedure, extracellular enzyme activitities, phospholipid fatty acid profiles and other variables. This dataset reports data for all individual soil samples, i.e. 5 cores per plot, 4 plots per site, for four sites total, in both the wet and dry season. Usage notes The relevant metadata describing all columns in the dataset appear in a tab in this spreadsheet