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1.
Appetite ; 200: 107572, 2024 Sep 01.
Article in English | MEDLINE | ID: mdl-38908405

ABSTRACT

Animal agriculture is a leading contributor to greenhouse gas emissions and other harmful environmental impacts, which underscores the need to shift away from the consumption of animal-based products. One promising nudge intervention is making plant-based meals the default option, so we tested this approach at six different university events across four academic institutions for effecting sustainable dietary change. Event attendees pre-selected their meal on one of two randomly assigned RSVP forms: one with a plant-based default and one with a meal with meat default. The results from our randomized controlled trial showed that participants had a 43-percentage point greater probability of selecting the plant-based meal when it was indicated as the default option. This effect was similar across events and academic institutions, which indicates that this default intervention is generalizable and can be successfully implemented at university events. The combined effect of using plant-based defaults at these six events was an estimated reduction of 104,387 kg of CO2 emissions, 299.9 m2 of land use, 959.0 g of nitrogen use, and 259.5 g of phosphorus use, which represent roughly 45-46.2% reductions in harmful environmental impacts relative to the meals chosen when using a meat default. Given the significance and magnitude of these environmental benefits, our results support the widespread implementation of plant-based defaults for helping universities improve their sustainability.


Subject(s)
Environment , Humans , Universities , Male , Female , Adult , Meals , Young Adult , Food Preferences/psychology , Meat , Choice Behavior , Diet, Vegetarian , Greenhouse Effect/prevention & control , Greenhouse Gases
2.
Curr Environ Health Rep ; 10(2): 172-183, 2023 06.
Article in English | MEDLINE | ID: mdl-37227626

ABSTRACT

PURPOSE OF REVIEW: Aquatic foods are increasingly being recognized as a diverse, bioavailable source of nutrients, highlighting the importance of fisheries and aquaculture for human nutrition. However, studies focusing on the nutrient supply of aquatic foods often differ in the nutrients they examine, potentially biasing their contribution to nutrition security and leading to ineffective policies or management decisions. RECENT FINDINGS: We create a decision framework to effectively select nutrients in aquatic food research based on three key domains: human physiological importance, nutritional needs of the target population (demand), and nutrient availability in aquatic foods compared to other accessible dietary sources (supply). We highlight 41 nutrients that are physiologically important, exemplify the importance of aquatic foods relative to other food groups in the food system in terms of concentration per 100 g and apparent consumption, and provide future research pathways that we consider of high importance for aquatic food nutrition. Overall, our study provides a framework to select focal nutrients in aquatic food research and ensures a methodical approach to quantifying the importance of aquatic foods for nutrition security and public health.


Subject(s)
Nutrients , Nutritional Status , Humans , Diet , Aquaculture , Fisheries
3.
Skeletal Radiol ; 52(4): 715-723, 2023 Apr.
Article in English | MEDLINE | ID: mdl-36224400

ABSTRACT

OBJECTIVE: To determine which radiographic measures used to define the severity of hip dysplasia are associated with hip joint translation and to investigate relationships between position, body mass index, and joint translation. MATERIALS AND METHODS: This is a cross-sectional retrospective study evaluating 10 validated radiographic measures of dysplasia on weight-bearing AP pelvis and supine 45-degree bilateral Dunn radiographs of 93 young adults with symptomatic hip dysplasia presenting to a single academic institution between October 2016 and May 2019. We determined the difference between standing and supine measurements for each hip and the correlation of each measure with the patient's body mass index. RESULTS: Femoral head extrusion index was 2.49% lower on supine X-ray (p = 0.0020). Patients with higher body mass index had higher center gap distance (p = 0.0274), femoral head extrusion (p = 0.0170), and femoral head lateralization (p = 0.0028) when standing. They also had higher Tönnis angle (pstanding = 0.0076, psupine = 0.0121) and lower lateral center-edge angle (pstanding = 0.0196, psupine = 0.0410) in both positions. The difference in femoral head lateralization between standing and supine positions increased with higher body mass index (p = 0.0081). CONCLUSION: Translation of the hip joint with position change is demonstrated by decreased femoral head extrusion index on supine X-ray. Patients with higher body mass index had more dysplastic hips, as measured by five of six radiographic outcomes of dysplasia, and experienced more translation with weight-bearing, reflected by increased femoral head lateralization.


Subject(s)
Hip Dislocation , Young Adult , Humans , Hip Dislocation/diagnostic imaging , Retrospective Studies , Cross-Sectional Studies , Body Mass Index , Osteotomy , Hip Joint/diagnostic imaging , Acetabulum
4.
Nat Chem ; 10(1): 91-98, 2018 01.
Article in English | MEDLINE | ID: mdl-29256499

ABSTRACT

Hybridization is a key molecular process in biology and biotechnology, but so far there is no predictive model for accurately determining hybridization rate constants based on sequence information. Here, we report a weighted neighbour voting (WNV) prediction algorithm, in which the hybridization rate constant of an unknown sequence is predicted based on similarity reactions with known rate constants. To construct this algorithm we first performed 210 fluorescence kinetics experiments to observe the hybridization kinetics of 100 different DNA target and probe pairs (36 nt sub-sequences of the CYCS and VEGF genes) at temperatures ranging from 28 to 55 °C. Automated feature selection and weighting optimization resulted in a final six-feature WNV model, which can predict hybridization rate constants of new sequences to within a factor of 3 with ∼91% accuracy, based on leave-one-out cross-validation. Accurate prediction of hybridization kinetics allows the design of efficient probe sequences for genomics research.


Subject(s)
DNA/chemistry , Models, Theoretical , Nucleic Acid Hybridization , Algorithms , Genome, Human , Humans , Kinetics , Nucleic Acid Conformation , Oligonucleotide Probes , Predictive Value of Tests
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