Investigation of Alcohol-Drinking Levels in the Swiss Population: Differences in Diet and Associations with Sociodemographic, Lifestyle and Anthropometric Factors

Alcohol-drinking levels in Switzerland were investigated to identify dietary differences and explore the relationship between drinking levels and sociodemographic, lifestyle and anthropometric factors using the National Nutrition Survey menuCH (n = 2057, 18-75 years). After two 24 h dietary recalls (24HDRs), participants were categorized into four subgroups: abstainers (both self-declared alcohol avoidance and no alcohol reported); no alcohol reported; moderate drinkers (women/men < 12 g/<24 g mean daily alcohol, respectively); and heavy drinkers (women/men > 12 g/>24 g mean daily alcohol, respectively). Differences in diet between these groups were described by comparing daily total energy and non-alcohol energy intake, macronutrient energy contribution, food group intake, and diet quality (Alternate Healthy Eating Index excluding alcohol). The sociodemographic, anthropometric and lifestyle factors that determine alcohol-drinking levels were investigated using multinomial logistic regression. Abstainers reported the lowest daily energy intake (total and non-alcohol), heavy drinkers had the highest total energy intake and the lowest diet quality, and moderate drinkers had the highest non-alcohol energy intake. Sex, age, language region, body mass index, household size, smoking status, self-reported health status and following a diet were significantly associated with different alcohol-drinking subgroups. Results could facilitate interventions that target subgroups who exceed safe alcohol-drinking levels and lead unfavorable lifestyles. Keywords: 24 h dietary recall; Alternate Healthy Eating Index; alcohol-drinking level; energy intake; macronutrient; menuCH

No-meat eaters are less likely to be overweight or obese, but take dietary supplements more often: results from the Swiss National Nutrition survey menuCH

Objective: To describe and analyse the sociodemographic, anthropometric, behavioural and dietary characteristics of different types of Swiss (no-)meat eaters. Design: No-, low-, medium- and high-meat eaters were compared with respect to energy and total protein intake and sociodemographic, anthropometric and behavioural characteristics. Setting: National Nutrition Survey menuCH, the first representative survey in Switzerland. Participants: 2057 participants, aged 18-75 years old, who completed two 24-h dietary recalls (24-HDR) and a questionnaire on dietary habits, sociodemographic and lifestyle factors. Body weight and height were measured by trained interviewers. No-meat eaters were participants who reported meat avoidance in the questionnaire and did not report any meat consumption in the 24-HDR. Remaining study participants were assigned to the group of low-, medium- or high-meat eaters based on energy contributions of total meat intake to total energy intake (meat:energy ratio). Fifteen percentage of the participants were assigned to the low- and high-meat eating groups, and the remaining to the medium-meat eating group. Results: Overall, 4·4 % of the study participants did not consume meat. Compared with medium-meat eaters, no-meat eaters were more likely to be single and users of dietary supplements. Women and high-educated individuals were less likely to be high-meat eaters, whereas overweight and obese individuals were more likely to be high-meat eaters. Total energy intake was similar between the four different meat consumption groups, but no-meat eaters had lowest total protein intake. Conclusions: This study identified important differences in sociodemographic, anthropometric, behavioural and dietary factors between menuCH participants with different meat-eating habits

Investigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factors

Alcohol-drinking levels in Switzerland were investigated to identify dietary differences and explore the relationship between drinking levels and sociodemographic, lifestyle and anthropometric factors using the National Nutrition Survey menuCH (n = 2057, 18-75 years). After two 24 h dietary recalls (24HDRs), participants were categorized into four subgroups: abstainers (both self-declared alcohol avoidance and no alcohol reported); no alcohol reported; moderate drinkers (women/men 12 g/>24 g mean daily alcohol, respectively). Differences in diet between these groups were described by comparing daily total energy and non-alcohol energy intake, macronutrient energy contribution, food group intake, and diet quality (Alternate Healthy Eating Index excluding alcohol). The sociodemographic, anthropometric and lifestyle factors that determine alcohol-drinking levels were investigated using multinomial logistic regression. Abstainers reported the lowest daily energy intake (total and non-alcohol), heavy drinkers had the highest total energy intake and the lowest diet quality, and moderate drinkers had the highest non-alcohol energy intake. Sex, age, language region, body mass index, household size, smoking status, self-reported health status and following a diet were significantly associated with different alcohol-drinking subgroups. Results could facilitate interventions that target subgroups who exceed safe alcohol-drinking levels and lead unfavorable lifestyles

The first characterisation of meat consumption across sociodemographic, lifestyle and anthropometric groups in Switzerland : results from the National Nutrition Survey menuCH

Book of Abstracts at https://www.dge.de/fileadmin/public/doc/wk/2021/DGE-Proc-Germ-Nutr-Soc-Vol-27-2021.pdfBackground: Results from the National Nutrition Survey menuCH revealed that total meat intake exceeds the Swiss recommendation. The continuous discussion about the benefits and risks of consuming different types of meat prompted us to perform an in-depth analysis on meat intake in Switzerland. Objective: Investigation of associations of total, processed, red and white meat intake with selected sociodemographic, lifestyle and anthropometric variables. Methods: The menuCH survey (n = 2,057 aged 18-75), used to analyse average daily intake of total meat and main meat categories, includes data from two 24-h dietary recalls and an anthropometric and lifestyle questionnaire. For every meat category, we calculated energy-standardized average intake (g/1000 kcal) and investigated its association with 12 socio-demographic, lifestyle and anthropometric variables by multiple linear regression. Results: Average daily intake was 109 g/day of total, 43 g/ day of processed, 37 g/day of red, 27 g/day of white and 2 g/day of other meat. Energy-standardized total meat intake was highest in men, in the Italian-speaking region and in the youngest age group (18-29 years). Significant associations with total meat intake were negative for women compared to men, but positive for age of 18-29 years compared to 30-44 years, French- and Italian- compared to German-language regions and a BMI > 25/m2 compared to a BMI of 18.5-25/m2. Regression results of the three meat categories differed considerably. For example, we observed no significant difference between sexes for white meat intake, lower processed meat intake in French- than in German-language regions and higher total and processed meat intake in smokers compared to non-smokers. Conclusion: This study reveals significant differences in meat consumption with respect to amount and type in the Swiss population, suggesting that evidence-based risks and benefits of these categories might need more emphasis in meat consumption recommendations

Analysing and predicting wildlife–vehicle collision hotspots for the Swiss road network

Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)Context: Wildlife–vehicle collisions (WVCs) are a significant threat for many species, cause financial loss and pose a serious risk to motorist safety. Objectives: We used spatial data science on regional collision data from Switzerland with the objectives of identifying the key environmental collision risk factors and modelling WVC risk on a nationwide scale. Methods: We used 43,000 collision records with roe deer, red deer, wild boar, and chamois from 2010 to 2015 for both midlands and mountainous landscape types. We compared a fixed-length road segmentation approach with segments based on Kernel Density Estimation, a data-driven segmentation method. The segments’ environmental properties were derived from land-cover geodata using novel neighbourhood operations. Multivariate logistic regression and random forest classifiers were used to identify and rank the relevant environmental factors and to predict collision risk in areas without collision data. Results: The key factors for WVC hotspots are road sinuosity, and two composite factors for browsing/forage availability and traffic noise—a proxy for traffic flow. Our best models achieved sensitivities of 82.5% to 88.6%, with misclassifications of 20.14% and 27.03%, respectively. Our predictions were better in forested areas and revealed limitations in open landscape due to lack of up-to-date data on annual crop changes. Conclusions: We illustrate the added value of using fine-grained land-cover data for WVC modelling, and show how such detailed information can be annotated to road segments using spatial neighbourhood functions. Finally, we recommend the inclusion of annual crop data for improving WVC modelling

Multiple signals mediate proliferation, differentiation, and survival from the granulocyte colony-stimulating factor receptor in myeloid 32D cells

Granulocyte colony-stimulating factor (G-CSF) regulates neutrophil production through activation of its cognate receptor, the G-CSF-R. Previous studies with deletion mutants have shown that the membrane-proximal cytoplasmic domain of the receptor is sufficient for mitogenic signaling, whereas the membrane-distal domain is required for differentiation signaling. However, the function of the four cytoplasmic tyrosines of the G-CSF-R in the control of proliferation, differentiation, and survival has remained unclear. Here we investigated the role of these tyrosines by expressing a tyrosine 'null' mutant and single tyrosine 'add back' mutants in maturation-competent myeloid 32D cells. Clones expressing the null mutant showed only minimal proliferation and differentiation, with survival also reduced at low G-CSF concentrations. Analysis of clones expressing the add-back mutants revealed that multiple tyrosines contribute to proliferation, differentiation, and survival signals from the G-CSF-R. Analysis of signaling pathways downstream of these tyrosines suggested a positive role for STAT3 activation in both differentiation and survival signaling, whereas SHP-2, Grb2 and Shc appear important for proliferation signaling. In addition, we show that a tyrosine- independent 'differentiation domain' in the membrane-distal region of the G- CSF-R appears necessary but not sufficient for mediating neutrophilic differentiation in these cells

Online Vorkurs Mathematik

Tagungsrefera

Daily and meal-based assessment of dairy and corresponding protein intake in Switzerland: results from the National Nutrition Survey menuCH

PURPOSE Dairy contributes to daily protein and provides important minerals and vitamins. Using data of the National Nutrition Survey in Switzerland (menuCH), we aimed to describe intakes of dairy and its subcategories, to compare daily and per-meal dairy protein with total protein intake, and to investigate associations between energy-standardized dairy intake and sociodemographic, lifestyle and anthropometric factors. METHODS From two 24-h dietary recalls, anthropometric measurements, and a lifestyle questionnaire from a representative sample (n = 2057, 18-75 years), we calculated daily and energy-standardized means and standard error of the means for dairy, its subcategories (milk, yoghurt and cheese), and compared daily and per-meal dairy protein with total protein intake. Associations were investigated between dairy intake (g/1000 kcal) and sociodemographic, lifestyle and anthropometric factors by multivariable linear regression. RESULTS Dairy intake provided 16.3 g/day protein with cheese contributing highest amounts (9.9 g/day). Dairy protein intake was highest at dinner (6.3 g/day) followed by breakfast, lunch and snacks (4.3, 3.3 and 2.4 g/day, respectively). Per meal, total protein reached the amounts suggested for improving protein synthesis only at dinner and lunch (33.1 and 28.3 g/day, respectively). Energy-standardized dairy intake was 20.7 g/1000 kcal higher for women than men (95% CI 13.2; 28.1), 24.3 g/1000 kcal lower in the French than German-speaking region (95% CI - 32.4; - 16.1), and also significantly associated with nationality, household type and smoking status. CONCLUSION This first description of dairy consumption is an important basis for developing meal-specific recommendations, aimed to optimize dairy and protein intake especially for older adults

Auswirkung von Schneebedeckung auf den Ertrag von Photovoltaikanlagen

Heutige Simulationstools für Photovoltaikanlagen berechnen in den Wintermonaten oft zu hohe Erträge für integrierte Anlagen im alpinen Raum. Dies kommt daher, dass die Schneeliegedauer auf den Modulen nicht miteinbezogen wird. Diese kann je nach Standort über längere Zeitspannen (bis zu mehreren Monaten) zu Ertragseinbussen führen. Ziel dieser Studie ist es, einen zusätzlichen Leistungsparameter ("Verschneiungsgrad") aus empirischen Daten zu ermitteln. Dieser soll die durchschnittliche Auswirkung der Schneebedeckung in PV-Simulationsprogrammen berücksichtigen

Characterisation of meat consumption across socio-demographic, lifestyle and anthropometric groups in Switzerland: results from the National Nutrition Survey menuCH

Objective: Characterising meat consumption in Switzerland across socio-demographic, lifestyle and anthropometric groups. Design: Representative national data from the menuCH survey (two 24-hour dietary recalls, anthropometric measurements and a lifestyle questionnaire) were used to analyse the total average daily intake of meat and main meat categories. Energy-standardised average intake (g/1000 kcal) was calculated and its association with 12 socio-demographic, lifestyle and anthropometric variables was investigated using multivariable linear regression. Setting: Switzerland. Participants: Totally, 2057 participants aged 18-75 years. Results: Average total meat intake was 109 g/d, which included 43 g/d of processed meat, 37 g/d of red meat and 27 g/d of white meat. Energy-standardised meat intake was highest for men, the Italian-language region and the youngest age group (18-29 years). Regression results showed significantly lower total meat and red meat consumption (g/1000 kcal) for women than men. However, there were no sex-specific differences for white meat. Total meat and white meat consumption were positively associated with the 18-29 age group, compared with 30-44 years, non-Swiss compared with Swiss participants and one-parent families with children compared with couples without children. Consumption of all categories of meat showed positive associations for BMI > 25 kg/m(2) compared with BMI 18 center dot 5-25 kg/m(2) and for French- and Italian-language regions compared with German-language region. Conclusion: The current study reveals that there are significant differences in the amounts and types of meat consumed in Switzerland, suggesting that evidence-based risks and benefits of these categories need to be emphasised more in meat consumption recommendations.ISSN:1368-9800ISSN:1475-272