Shifting towards optimized healthy and sustainable Dutch diets: impact on protein quality.

PURPOSE: To reduce the environmental impact of Western diets, a reduction of meat consumption and a substitution by plant-based protein sources is needed. This protein transition will affect the quantity and quality of dietary protein. Therefore, the aim of this study was to evaluate the protein adequacy of diets optimized for nutritional health and diet-related greenhouse gas emission (GHGE). METHODS: Data from 2150 adult participants of the Dutch National Food Consumption Survey were used, with diet assessed using two non-consecutive 24 h dietary recalls. Utilizable protein of current diets per day was based on meal composition and the Protein Digestibility-Corrected Amino Acid Score and was compared to protein requirements. Optimized diets were derived as linear combinations of current diets that minimized GHGE and maximized the Dutch Healthy Diet 2015 score, with/without constraints to keep dietary change within 33% of current consumption. Protein adequacy was evaluated in both current and optimized diets. RESULTS: In all age and gender strata, the healthiest diets had higher GHGE, the most sustainable diets had the lowest dietary quality, though higher than current diets, and protein adequacy remained sufficient. When limiting dietary change to 33% of current consumption, in the most promising trade-off diet GHGE was reduced by 12-16%. The current diet provided 1.4-2.2 times the required amount of utilizable protein. CONCLUSION: These results suggest that a realistic aim for the next decade might be to reduce diet-related GHGE to 12-16% of the current levels without compromising protein adequacy and diet quality. To achieve global targets, upstream food system transformations are needed with subsequent dietary changes.

Evaluation of the Validity and Feasibility of the GLIM Criteria Compared with PG-SGA to Diagnose Malnutrition in Relation to One-Year Mortality in Hospitalized Patients.

BACKGROUND: The Global Leadership Initiative on Malnutrition (GLIM) approach to diagnose malnutrition was published in 2018. An important next step is to use the GLIM criteria in clinical investigations to assess their validity and feasibility. OBJECTIVE: To compare the validity and feasibility of the GLIM criteria with Patient-Generated Subjective Global Assessment (PG-SGA) in hospitalized patients and to assess the association between malnutrition and 1-year mortality. DESIGN: Post hoc analysis of a prospective cohort study. PARTICIPANTS/SETTING: Hospitalized patients (n = 574) from the Departments of Gastroenterology, Gynecology, Urology, and Orthopedics at the Radboudumc academic facility in Nijmegen, The Netherlands, were enrolled from July 2015 through December 2016. MAIN OUTCOME MEASURES: The GLIM criteria and PG-SGA were applied to identify malnourished patients. Mortality rates were collected from electronic patient records. Feasibility was assessed by evaluating the amount of and reasons for missing data. STATISTICAL ANALYSES PERFORMED: Concurrent validity was evaluated by assessing the sensitivity, specificity, and Cohen's kappa coefficient for the GLIM criteria compared with PG-SGA. Cox regression analysis was used for the association between the GLIM criteria and PG-SGA and mortality. RESULTS: Of 574 patients, 160 (28%) were classified as malnourished according to the GLIM criteria and 172 (30.0%) according to PG-SGA (κ = 0.22, low agreement). When compared with PG-SGA, the GLIM criteria had a sensitivity of 43% and a specificity of 79%. Mortality of malnourished patients was more than two times higher than for non-malnourished patients according to the GLIM criteria (hazard ratio [HR], 2.68; confidence interval [CI], 1.33-5.41). Data on muscle mass was missing in 454 of 574 (79%) patients because of practical problems with the assessment using bioimpedance analysis (BIA). CONCLUSIONS: Agreement between GLIM criteria and PG-SGA was low when diagnosing malnutrition, indicating that the two methods do not identify the same patients. This is supported by the GLIM criteria showing predictive power for 1-year mortality in hospitalized patients in contrast to PG-SGA. The assessment of muscle mass using BIA was difficult to perform in this clinical population.

Can Healthy and Sustainable Dietary Patterns That Fit within Current Dutch Food Habits Be Identified?

This study investigated major healthy and sustainable dietary patterns in the Dutch population. Two 24-hour dietary recalls were collected in 2078 participants aged 19-79 years in the Dutch National Food Consumption Survey 2012-2016. Dietary patterns were identified using reduced rank regression. Predictor variables were food groups and response variables were Dutch Healthy Diet index 2015 (DHD15-index) score, greenhouse gas emissions (GHGE), and blue water use. Three patterns were discovered, including a "high fruit and vegetable dietary pattern", a "low meat dietary pattern", and a "high dairy, low fruit juices dietary pattern". Diets in the highest quartile of these patterns had higher DHD15-index score than the average population. However, diets of the "high fruit and vegetable dietary pattern" were associated with higher dietary GHGE (14%) and blue water use (69.2%) compared to the average population. Diets of the "low meat dietary pattern" were associated with lower GHGE (19.6%) and higher blue water use (7.7%). Concluding, the "low meat dietary pattern" was the most healthy and sustainable dietary pattern in this population. The addition of blue water use as an environmental impact indicator shows the difficulty of finding existing dietary patterns that have low environmental impact in all determinants.

Low Meat Consumption in the Netherlands Is Associated With Higher Intake of Fish, Nuts, Seeds, Cheese, Sweets, and Snacks: Results From a Two-Part Model.

Studies on sustainable diets show a need for replacement of animal-based foods by plant-based foods, which is also called "the protein transition." To gain insight into the acceptability of such diet shifts, this study evaluated which current food sources people consume at varying amounts of meat consumption. The study population consisted of 4,313 participants aged 1-79 years of the Dutch National Food Consumption Survey 2012-2016, which assessed diet using two nonconsecutive 24-h dietary recalls. A two-part statistical model was used that accounts for both repeated measures and the correlation between probability and amount of consumption. Results are presented for quartiles of low to high meat consumption, by age and sex. Depending on age and sex, a higher consumption of fish (>100%), nuts and seeds (73-156%), cheese (34-111%), and sweets and snacks (28-81%) is observed in the lowest quartile of meat consumption compared to the highest. For fish, nuts, seeds, and cheese, this increase is mainly due to probability of consumption (>100%, 61-93%, and 16-64%, respectively). For sweets and snacks, the increase is mainly due to the amount of consumption (26-72%). Probability of potato consumption is 29-51% lower at low meat consumption. Vegetable consumption is lower mainly due to amount of consumption (6-29%). The results from the two-part model suggest that shifting away from a traditional Dutch high meat-vegetable-potatoes pattern is associated with higher probability of consuming fish, nuts and seeds, and cheese, but also increased amounts of sweets and snacks. This illustrates that analyzing the probability and amount part separately in relation to behavioral or physiological determinants extends our understanding of the diet according to meat consumption. These insights are important when developing realistic and acceptable food-based dietary guidelines for meat reduction.