Dietary fibre intake and its association with ultraprocessed food consumption in the general population of Switzerland: analysis of a population-based, cross-sectional national nutrition survey.

Objectives: The objective of this study was to describe the compliance to dietary fibre recommendations of the Swiss population and to investigate the association between dietary fibre intake and ultraprocessed food (UPF) consumption. Methods: Data were obtained from the cross-sectional Swiss National Nutrition Survey menuCH. We summarised the sociodemographic, lifestyle and anthropometric parameters as well as dietary data collected with two 24-hour dietary recalls for the whole population and subgroups according to absolute and relative dietary fibre intake. We analysed the associations between dietary fibre intake and UPF consumption by fitting multinomial logistic regression models. Data were weighted according to the menuCH weighting strategy to achieve a representation of the Swiss population. Results: Data obtained from 2057 adults were included in the analysis, of which 87% had a dietary fibre intake of <30 g/day. Participants with high UPF consumption had lower odds of being in the medium or high dietary fibre intake groups than participants with low UPF consumption. The odds of being in the medium or high dietary fibre intake groups decreased linearly across quartiles of UPF consumption (p for trend ≤0.004). Conclusions: Dietary fibre intake is insufficient in all population groups in Switzerland. UPF consumption is inversely and dose dependently associated with dietary fibre intake. To increase dietary fibre intake, public health measures should discourage UPF consumption and increase dietary fibre intake via unprocessed or minimally processed foods.

Risks and benefits of nonsugar sweeteners: conflicting evidence between observational studies and randomized controlled trials.

PURPOSE OF REVIEW: Recommendations on the use of nonsugar sweeteners are contradictory, even if they come from official sources. The aim is to review and discuss recent findings on the potential impact of nonsugar sweeteners on human health. RECENT FINDINGS: While randomized controlled trials (RCTs) with short duration and risk factors endpoints mostly show favourable effects on body weight and cardiometabolic parameters when nonsugar sweeteners are used to replaced sugar-sweetened products, observational studies mostly show a positive association between the consumption of nonsugar sweeteners and cardiometabolic diseases. The conflicting results may be explained by the heterogenous nature of nonsugar sweeteners but also likely is a consequence of serious weaknesses of available studies. SUMMARY: For more evidence-based recommendations for practice and policy, scientifically sound studies with long follow-up are required.

A feasibility study to assess Mediterranean Diet adherence using an AI-powered system.

Mediterranean diet (MD) can play a major role in decreasing the risks of non-communicable diseases and preventing overweight and obesity. In order for a person to follow the MD and assess their adherence to it, proper dietary assessment methods are required. We have developed an Artificial Intelligence-powered system that recognizes the food and drink items from a single meal photo and estimates their respective serving size, and integrated it into a smartphone application that automatically calculates MD adherence score and outputs a weekly feedback report. We compared the MD adherence score of four users as calculated by the system versus an expert dietitian, and the mean difference was 3.5% and statistically not significant. Afterwards, we conducted a feasibility study with 24 participants, to evaluate the system's performance and to gather the users' and dietitians' feedback. The image recognition system achieved 61.8% mean Average Precision for the testing set and 57.3% for the feasibility study images (where the ground truth was taken as the participants' annotations). The feedback from the participants of the feasibility study was also very positive.

Different dietary assessment methods, similar conclusions? Comparison of a country's adherence to food-based dietary guidelines as depicted in two population-based surveys using different dietary assessment methods.

OBJECTIVE: Different methods of dietary intake assessment are frequently used to assess a population's diet. In this study, we aimed to compare the adherence to Swiss food-based dietary guidelines as depicted in two Swiss population-based surveys using different methods of dietary assessment. DESIGN: Two population-based, cross-sectional surveys were compared. In the Swiss Health Survey (SHS), diet was assessed via a short set of questions on specific food groups, while in menuCH by two non-consecutive 24-h dietary recall interviews. SETTING: To compare the diet depicted in these surveys, we used the Swiss food-based dietary guidelines on vegetable, fruit, dairy product, meat and meat product, fish and alcohol. The weighted proportion of responders meeting these guidelines was calculated for both surveys and was compared overall and by selected characteristics. PARTICIPANTS: Residents of Switzerland, selected from a stratified random sample of the non-institutionalised residents, who agreed to participate in the respective survey. To ensure comparability between the surveys, the age of the study populations was restricted to 18-75 years. RESULTS: In menuCH, approximately 2 % of responders met ≥4 of the selected Swiss food-based dietary guidelines. In the SHS, using a cruder dietary assessment, the corresponding percentage was 20 %. In both surveys, more women and never smokers were meeting ≥4 food-based dietary guidelines compared to men and current or former smokers, respectively. CONCLUSIONS: Our study comparing the diet in two population-based, representative surveys detected large variations in guideline adherence depending on the dietary assessment method used.

Does diet map with mortality? Ecological association of dietary patterns with chronic disease mortality and its spatial dependence in Switzerland.

We investigated the associations between dietary patterns and chronic disease mortality in Switzerland using an ecological design and explored their spatial dependence, i.e. the tendency of near locations to present more similar and distant locations to present more different values than randomly expected. Data of the National Nutrition Survey menuCH (n 2057) were used to compute hypothesis- (Alternate Healthy Eating Index (AHEI)) and data-driven dietary patterns. District-level standardised mortality ratios (SMR) were calculated using the Swiss Federal Statistical Office mortality data and linked to dietary data geographically. Quasipoisson regression models were fitted to investigate the associations between dietary patterns and chronic disease mortality; Moran's I statistics were used to explore spatial dependence. Compared with the first, the fifth AHEI quintile (highest diet quality) was associated with district-level SMR of 0·95 (95 % CI 0·93, 0·97) for CVD, 0·91 (95 % CI 0·88, 0·95) for ischaemic heart disease (IHD), 0·97 (95 % CI 0·95, 0·99) for stroke, 0·99 (95 % CI 0·98, 1·00) for all-cancer, 0·98 (95 % CI 0·96, 0·99) for colorectal cancer and 0·93 (95 % CI 0·89, 0·96) for diabetes. The Swiss traditional and Western-like patterns were associated with significantly higher district-level SMR for CVD, IHD, stroke and diabetes (ranging from 1·02 to 1·08) compared with the Prudent pattern. Significant global and local spatial dependence was identified, with similar results across hypothesis- and data-driven dietary patterns. Our study suggests that dietary patterns partly contribute to the explanation of geographic disparities in chronic disease mortality in Switzerland. Further analyses including spatial components in regression models would allow identifying regions where nutritional interventions are particularly needed.

Ultraprocessed Food Consumption is Strongly and Dose-Dependently Associated with Excess Body Weight in Swiss Women.

OBJECTIVE: This study investigated the association between ultraprocessed food consumption and excess body weight in a Swiss nationally representative study. METHODS: Data stem from the cross-sectional Swiss National Nutrition Survey menuCH (n = 2,057). Dietary information was collected with 24-hour dietary recalls, and food items were categorized into non-ultraprocessed or ultraprocessed using the NOVA food classification system. The following three excess body weight indicators were considered: BMI, waist circumference (WC), and a BMI-WC composite outcome. Multinomial logistic regression models stratified by sex were fitted. RESULTS: Women in the highest quintile of ultraprocessed food weight proportion had significantly higher odds of having obesity (odds ratio [OR] 3.01, 95% CI: 1.48-6.11), having abdominal obesity (OR 2.69, 95% CI: 1.43-5.05), and being in the highest category of the BMI-WC composite outcome (OR 3.28, 95% CI: 1.59-6.77). No relevant associations were observed in men. CONCLUSIONS: Ultraprocessed food weight proportion was strongly and dose-dependently associated with excess body weight in women but not in men. Further studies are required to elucidate potential mechanisms behind this association. Increasing evidence of the detrimental effect of ultraprocessed food consumption on health stresses the need to consider these products in future public health strategies.

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.

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.

The Importance of Sweet Beverage Definitions When Targeting Health Policies-The Case of Switzerland.

Since high-sweet beverage intake is associated with health risks, defining what this term encompasses is relevant to the strategies confronting this problem. This study assessed both the sociodemographic factors associated with sweet beverage consumption in Switzerland and the amount consumed. According to the current definition in Switzerland (SB-CUR), sweet beverages include soft drinks, juices with added-sugar, and low-calorie sweet beverages. Using this definition and the representative menuCH survey (n = 2057; ages 18-75), the average daily sweet beverage intake was determined and compared with a new sweet beverage definition (SB-NEW), which included all beverages with free sugars and low-calorie sweeteners. A generalized linear model was used to investigate correlates of sweet beverage consumption. Sweet beverage consumption under the SB-CUR and SB-NEW definition was 240.6 g/day and 329.7 g/day, respectively, with 100% juice consumption accounting for 66% of the difference. Carbonated drinks (sodas), low-calorie sweet beverages, and 100% juices were the highest contributors, each around 60 g/day. SB-NEW intake was higher in individuals who were male, young adults (aged 18-29), from German-speaking regions, obese, or had a lower level of education. As sweet beverage consumption was much higher under the SB-NEW definition, this could have implications for health policies aimed at reducing sugar intake.

Combining Recent Nutritional Data with Prospective Cohorts to Quantify the Impact of Modern Dietary Patterns on Disability-Adjusted Life Years: A Feasibility Study.

Unhealthy diets are commonly associated with increased disability-adjusted life years (DALYs) from noncommunicable diseases. The association between DALYs and dietary patterns can be quantified with individual longitudinal data. This assessment, however, is often based on dietary data collected once at cohort entry, therefore reflecting the impact of "old" dietary habits on morbidity and mortality. To overcome this limitation, we tested the association of contemporary diets with DALYs. First, we defined contemporary dietary patterns consumed in Switzerland with the national nutrition survey menuCH (2014-2015). Second, we identified individuals who consumed similar diets in the NRP-MONICA census-linked cohort (1977-2015). In this cohort, individual data on disease and mortality were used to calculate the DALYs-dietary patterns association using a mixed regression model. A total of 58,771 DALYs from NCDs were recorded in a mean follow-up time of 25.5 years. After multivariable adjustments, the "Swiss traditional" pattern was not associated with an increase in DALYs compared to the "Prudent" pattern. However, individuals following a "Western" pattern had, on average 0.29 DALYs (95% CI 0.02, 0.56) more than those following a "Prudent" pattern, equating to a loss of healthy life of more than three months. These data highlight the feasibility of quantifying the impact of contemporary diets on DALYs without the establishment of new cohorts or the use of nationally aggregated data.

Intake of Processed Meat and Association with Sociodemographic and Lifestyle Factors in a Representative Sample of the Swiss Population.

Processed meat (PM) intake is associated with health risks, but data are lacking in Switzerland. Using national representative data from a recent menuCH Survey, we first aimed to quantify intake of PM and its subtypes, and second to investigate associations with sociodemographic and lifestyle factors by multivariable regression analysis. PM was consumed by 72% of the population, and mean daily intake was 42.7 g/day (standard error of the mean (SEM) 1.2 g/day), ranging considerably across PM subtypes: highest intake of sausages 18.1 g/day (SEM 0.7 g/day) and lowest of bacon 2.0 g/day (SEM 0.2 g/day). PM intake by women was 4.7 g/1000 kcal lower than men (95% confidence interval (CI): -6.7; -2.7) and 2.9 g/1000 kcal lower in the French- language region compared with the German region (95% CI: 2.4; 8.7). Among sociodemographic and lifestyle factors examined, BMI (obese vs. normal: 5.5 g/1000 kcal, 95% CI: 2.4; 8.7) and current smoking (vs. never smoked: 3.1 g/kcal, 95% CI: 0.6; 5.6) were independently associated with PM intake. The results are a first description of PM intake, separate from other meat types, and which identified associations with two unhealthy lifestyle factors in Switzerland. Such data will contribute to better nutritional recommendations and guidance for public health interventions.

Post-Diagnostic Diet Quality and Mortality in Females with Self-Reported History of Breast or Gynecological Cancers: Results from the Third National Health and Nutrition Examination Survey (NHANES III).

High quality diets are associated with favorable disease and mortality outcomes in various populations; little and conflicting information is available for female cancer survivors. We investigated the association of post-diagnostic diet quality with mortality in female cancer survivors. Data from 230 women with a previous breast, or gynecological (i.e., ovarian, cervical or uterine) cancer diagnosis in the Third National Health and Nutrition Examination Survey were analyzed. The Healthy Eating Index (HEI) and the Mediterranean Diet Score (MDS) were calculated based on a 24-hour dietary recall interview. Cox proportional hazards regression models were used to calculate multivariable-adjusted hazard ratios (HR) and 95% confidence intervals (CI). Higher HEI score was associated with lower mortality (HRHEI total = 0.97, 95% CI: 0.95-0.98, 1 unit increase), but the association for MDS failed to reach statistical significance (HRMDS total = 0.87, 95% CI: 0.74-1.04). In subgroup analyses, a statistically significant inverse association was observed between the HEI and mortality; for the MDS, no statistically significant association was apparent. Higher post-diagnostic HEI score was inversely associated with mortality in female cancer survivors, suggesting a protective effect when adhering to the diet captured by the HEI. Additional studies are required in order to investigate underlying mechanisms of the mortality-adherence association.

Healthy lifestyle is inversely associated with mortality in cancer survivors: Results from the Third National Health and Nutrition Examination Survey (NHANES III).

Individual lifestyle behaviors have been associated with prolonged survival in cancer survivors, but little information is available on the association between combined lifestyle behaviors and mortality in this population. Data from 522 cancer survivors participating in the Third National Health and Nutrition Examination Survey (NHANES III) were analyzed. Behaviors pertaining to lifetime healthy body weight maintenance, physical activity, smoking, diet quality (assessed by the Healthy Eating Index) and moderate alcohol consumption were combined in a lifestyle score (range 0-5). Cox proportional hazards regression models were used to calculate multivariable-adjusted hazard ratios (HR) and 95% confidence intervals (CI). Both in continuous and categorical models, the lifestyle score was statistically significantly associated with lower mortality in the total study population (HRcontinuous = 0.81, 95% CI: 072, 0.90, per 1 unit increase; HR1-2 vs. 0 total = 0.71, 95% CI: 0.56, 0.92; HR3-5 vs. 0 total = 0.57, 95% CI: 0.38, 0.85, in the fully adjusted model) and in sex-specific analyses. Cancer survivors with high or moderate lifestyle score had lower risk of premature death compared to survivors with zero lifestyle score. Future studies are required in order to verify our findings and to investigate underlying mechanisms of the mortality-adherence association.

Have Swiss adult males and females stopped growing taller? Evidence from the population-based nutrition survey menuCH, 2014/2015.

Data from the National Nutrition Survey for adults (menuCH) allow for the assessment of recent trends in measured height by year of birth for adult men and women from a population-based sample. The aim of the present study was to test if - similarly to conscripts and schoolchildren - the Swiss adult population stopped growing taller in recent birth cohorts, and if so, when the change occurred. We found that - when self-reported - height was overestimated on average by about 1 cm in both men and women, with an increasing tendency with older age and with shorter height. Average measured height increased by 4.5-5.0 cm for adult men and women between the birth years 1937-1949 and 1990-1995. However, this increase was not linear, and starting with the 1970s birth years, average height plateaued on a level of about 178 cm for men and 166 cm for women. Being born outside of Switzerland or adjustment for potential shrinkage with increasing age did not change this temporal pattern. We also found shorter average height among participants from the Italian part of Switzerland and those with lower educational level. It remains unclear if the phenomenon of stabilisation affects all subgroups of the Swiss population. Future studies should combine a larger number of population-based surveys to enhance the sample size, for example, for people with a migration background or with different educational levels. Continuing growth monitoring needs to be performed to assess if environmental and demographic changes with an impact on body growth (adverse trends in nutrition, increasing social inequality in health, ethnic composition of the population) positively or negatively influence future trends in average height.

Joints effects of BMI and smoking on mortality of all-causes, CVD, and cancer.

Obesity, underweight, and smoking are associated with an increased mortality. We investigated the joint effects of body mass index and smoking on all-cause and cause-specific mortality. Data of the Third National Health and Nutrition Examination Survey (1988-1994) including mortality follow-up until 2011 were used (n = 17,483). Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause, cardiovascular disease (CVD), and cancer mortality with BMI, smoking, and their combinations as exposure, stratified by sex. Normal weight never smokers were considered as reference group. Compared to normal weight never smokers, obese and underweight current smokers were the two combinations with the highest mortality from all-causes, CVD, and cancer. Among underweight current smokers, the HR of death from all-causes was 3.49 (95% CI 2.42-5.02) and for obese current smokers 2.76 (2.12-3.58). All-cause mortality was particularly high in women who were underweight and current smoker (3.88 [2.47-6.09]). CVD mortality risk was the highest among obese current smokers (3.33 [2.98-5.33]). Cancer mortality risk was the highest among underweight current smokers (5.28 [2.68-10.38]). Obese current smokers in the middle age group (between 40 and 59 years old) had the highest risk of all-cause mortality (4.48 [2.94-7.97]). No statistically significant interaction between BMI and smoking on all-cause and cause-specific mortality was found. The current study indicates that obesity and underweight in combination with smoking may emerge as a serious public health problem. Hence, public health messages should stress the increased mortality risk for smokers who are underweight or obese. Also, health messages regarding healthy lifestyle are aimed at maintaining a healthy body weight rather than just "losing weight" and at not starting smoking at all.

Clustering of sociodemographic and lifestyle factors among adults with excess weight in a multilingual country.

OBJECTIVE: The aim of this study was to identify and cluster potential sociodemographic and lifestyle determinants of excess weight (body mass index ≥ 25 kg/m2) in Switzerland. METHODS: Participants of the cross-sectional National Nutrition Survey menuCH (2014-2015, n = 2057) were categorized according to body mass index. Logistic regressions were conducted with sociodemographic (age, language region, education, household income, household status) and lifestyle factors (smoking, self-rated health status, physical activity, energy intake, Alternate Healthy Eating Index) to identify determinants of excess weight. Factorial analysis and clustering were applied to identify patterns among individuals with excess weight (n = 891). RESULTS: Poor or very poor self-rated health status and low levels of physical activity were associated with increased odds for obesity in men (odds ratio [OR] = 5.39 [95% confidence interval = 5.30-5.48], OR = 2.51 [2.14-2.95], respectively) and women (OR = 12.40 [11.59-13.26], OR = 4.83 [3.04-7.67], respectively). In both sexes, the Alternate Healthy Eating Index score was inversely associated with the probability of having obesity. Cluster analysis identified four distinct patterns: "young living with parents" (14.6%), "men with high educational level" (41.5%), "women living alone" (34.9%), and "low educational level and Italian language region" (9.0%). CONCLUSIONS: We identified four discrete subgroups of individuals with excess weight who differed by sociodemographic and lifestyle factors. Such subgroups may prove useful for targeted public health interventions.

Cultural Differences in Diet and Determinants of Diet Quality in Switzerland: Results from the National Nutrition Survey menuCH.

Sociodemographic differences in dietary consumption were observed in different populations. The current study aimed to identify sociodemographic and lifestyle determinants of diet quality and to investigate the differences in diet quality between the three main language regions of Switzerland. Using data of the Swiss National Nutrition Survey menuCH (n = 2057), two diet quality scores-Alternate Healthy Eating Index and Mediterranean Diet Score-were computed. Linear regression models were used to investigate the determinants of diet quality and chi-square tests were used to test for differences in single score components between language regions. Significantly higher diet quality scores were observed for individuals who were female, older, normal weight, non-Swiss, with tertiary education or moderate-to-high physical activity level. Additionally, residents of the French- and Italian-speaking parts of Switzerland scored higher than residents of the German-speaking region. More specifically, the higher diet quality observed in the French- and Italian-speaking regions was mediated by higher scores in the components of alcohol, dairy products, fat, fish, sugar-sweetened beverages and whole grains. The present results may help to better characterize population groups requiring specific dietary recommendations, enabling public health authorities to develop targeted interventions.

BMI-mortality association: shape independent of smoking status but different for chronic lung disease and lung cancer.

Background: Besides smoking, low or high body mass index (BMI) is associated with chronic lung disease (CLD). It is unclear how CLD is associated with BMI, whether smoking interacts with this association, and how the associations differ from the patterns known for lung cancer. Population and Methods: Our population comprised 35,212 individuals aged 14-99, who participated in population-based surveys conducted in 1977-1993 in Switzerland (mortality follow-up until 2014). We categorized smokers into never, former, light, and heavy; and BMI into underweight, normal weight, overweight, and obese. Hazard ratios (HRs) were obtained with multivariable Cox proportional hazards models. Results: CLD mortality was strongly associated with being underweight. This was mainly due to the effect in men (HR 5.04 [2.63-9.66]) and also prevailed in never smokers (HR 1.81 [1.11-3.00]). Obesity was also associated with CLD mortality (HR men: 1.37 [1.01-1.86], women: 1.39 [0.90-2.17]), but not with lung cancer mortality. In line with lung cancer, for CLD, the BMI-mortality association followed the same shape in all smoking categories, suggesting that this association was largely independent of smoking status. Conclusion: The shape of the BMI-mortality association was inversely linear for lung cancer but followed a U-shape for CLD. Further research should examine the potentially protective effect of obesity on lung cancer occurrence and the possibly hazardous impact of underweight on CLD development.

Dietary Patterns Are Associated with Cardiovascular and Cancer Mortality among Swiss Adults in a Census-Linked Cohort.

Defining dietary guidelines requires a quantitative assessment of the influence of diet on the development of diseases. The aim of the study was to investigate how dietary patterns were associated with mortality in a general population sample of Switzerland. We included 15,936 participants from two population-based studies (National Research Program 1A (NRP1A) and Monitoring of Trends and Determinants in Cardiovascular Disease (MONICA)-1977 to 1993) who fully answered a simplified 24-h dietary recall. Mortality data were available through anonymous record linkage with the Swiss National Cohort (follow-up of up to 37.9 years). Multiple correspondence analysis and hierarchical clustering were used to define data-driven qualitative dietary patterns. Mortality hazard ratios were calculated for all-cause, cancer and cardiovascular mortality using Cox regression. Two patterns were characterized by a low dietary variety ("Sausage and Vegetables", "Meat and Salad"), two by a higher variety ("Traditional", "High-fiber foods") and one by a high fish intake ("Fish"). Males with unhealthy lifestyle (smokers, low physical activity and high alcohol intake) were overrepresented in the low-variety patterns and underrepresented in the high-variety and "Fish" patterns. In multivariable-adjusted models, the "Fish" (hazard ratio = 0.82, 95% CI (0.68-0.99)) and "High-fiber foods" (0.85 (0.72-1.00)) patterns were associated with lower cancer mortality. In men, the "Fish" (0.73 (0.55-0.97)) and "Traditional" (0.76 (0.59-0.98)) patterns were associated with lower cardiovascular mortality. In summary, our results support the notion that dietary patterns affect mortality and that these patterns strongly cluster with other health determinants.

Dietary Patterns and Their Sociodemographic and Lifestyle Determinants in Switzerland: Results from the National Nutrition Survey menuCH.

From a public health perspective, determinants of diets are crucial to identify, but they remain unclear in Switzerland. Hence, we sought to define current dietary patterns and their sociodemographic and lifestyle determinants using the national nutrition survey menuCH (2014⁻2015, n = 2057). First, we applied multiple factorial analysis and hierarchical clustering on the energy-standardised daily consumption of 17 food categories. Four dietary patterns were identified ("Swiss traditional": high intakes of dairy products and chocolate, n = 744; "Western 1": soft drinks and meat, n = 383; "Western 2": alcohol, meat and starchy, n = 444; and "Prudent": n = 486). Second, we used multinomial logistic regression to examine the determinants of the four dietary patterns: ten sociodemographic or lifestyle factors (sex, age, body mass index, language region, nationality, marital status, income, physical activity, smoking status, and being on a weight-loss diet) were significantly associated with the dietary patterns. Notably, belonging to the French- and Italian-speaking regions of Switzerland increased the odds of following a "Prudent" diet (Odds ratio [95% confidence interval]: 1.92 [1.45⁻2.53] and 1.68 [0.98⁻2.90], respectively) compared to the German-speaking regions. Our findings highlight the influence of sociodemographic and lifestyle parameters on diet and the particularities of the language regions of Switzerland. These results provide the basis for public health interventions targeted for population subgroups.