MétaCan
Menu
Back to cohort
Record W7071651089

Supporting healthy and sustainable campuses: Examining food and nutrition interventions in real-world settings

2021· dissertation· en· W7071651089 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionSustainabilityPublic healthFocus groupCalorieFood choiceFood systemsHealth promotionLabelling
DOInot available

Abstract

fetched live from OpenAlex

Background: Food and nutrition are major contributors to public health and environmental sustainability challenges. There is currently an unprecedented level of focus on identifying interventions to support eating patterns that are consistent with human and planetary health. Post-secondary campuses represent a microcosm of food environments, providing a real-world setting for evaluating the potential for interventions to improve healthy and environmentally sustainable eating among students. However, the current state of evidence on interventions to support healthy and sustainable eating within post-secondary settings is not well understood. Additionally, there is high policy interest in calorie labelling at the point-of-purchase as a strategy to support healthy eating patterns; however, evidence from real-world settings comparing the impact of numeric versus interpretive calorie labelling on food and beverage purchases is limited. \n \nObjectives: The objectives of this dissertation were to: (1) investigate the extent to which health and environmental sustainability are considered in the implementation and evaluation of food and nutrition interventions on post-secondary campuses (Chapter 4); (2) evaluate the impact of numeric and interpretive calorie labelling at the point-of-purchase on consumer noticing, use, and perceptions of the labels, as well as calories purchased and sales (Chapter 5); and (3) examine the implications of numeric and interpretive calorie labelling on quality of foods and beverages purchased based on food groups and nutrients of public health concern (Chapter 6). \n \nMethods and results: The first study (Chapter 5) presents a scoping review of food and nutrition interventions implemented and evaluated on post-secondary campuses to examine the extent to which they integrate considerations related to human health and/or environmental sustainability, as well as to synthesize the nature and effectiveness of interventions and to identify knowledge gaps in the literature. Drawing upon 38 peer-reviewed articles, representing 37 unique interventions, interventions were synthesized according to policy domains within the World Cancer Research Fund’s NOURISHING framework. Overall, interventions to support both healthy and environmentally sustainable eating patterns within the context of postsecondary contexts are limited and there is a greater emphasis on human health versus sustainability. \n \nThe second study (Chapter 6) is comprised of a pre-post quasi-experimental controlled study, where three post-secondary cafeterias were randomized to receive numeric calorie labels, traffic light labelling (red, amber, or green symbol for calories), or no labelling for two weeks. Exit surveys, collecting information on socio-demographics, details of most recent purchase, and consumer noticing, use, and perceptions of labels, were conducted with cafeteria patrons prior to (n=862) and following (n=980) implementation of labels. Generalized estimating equations compared the effects of the labels on noticing, use and perceptions of labels, and calories purchased. Sales data were also collected and examined using ANOVA tests. The increase in noticing of nutrition information from pre-test to post-intervention was significantly greater at the numeric site (+19.5%; OR=3.13, 95% CI=1.79–5.47) and the traffic light labelling site (+33.6%; OR=5.14, 2.95–8.96) than the control (–0.53%). Reported use of nutrition information was significantly greater from pre-test to post-intervention at the numeric (+9.20% vs. –0.30%; OR=2.43, 95% CI=1.14–5.19) and traffic light labelling (+27.5%; OR=5.26, 2.51–11.0) sites relative to the control. Among post-intervention patrons, 32% rated numeric and 48% rated traffic light labels as easy to understand, and 25% rated numeric and 42% rated traffic light labels as easy to use. No differences in three-way interactions with site and time were observed by gender, health literacy, disordered eating, and socioeconomic status for noticing, use, and perceptions of nutrition information. The analyses of the impact of the labels on calories purchased were inconclusive given the assumption of parallel trends across sites could not be satisfied. Numeric and traffic light labels had no effect on total sales, total transactions, and sales per patron. \n \nThe third study (Chapter 7) utilized data collected from the calorie labelling intervention to examine implications for quality of purchases based on food groups and nutrients of public health concern. The change in purchases of green-, amber-, and red-labelled items and in food groups and nutrients purchased at all sites from pre-test to post-test was assessed. Foods and beverages were coded to food composition databases to calculate amounts of food groups and nutrients, including fruits, vegetables, whole grains, refined grains, plant-based proteins, red meats, added sugars, saturated fats, and sodium, expressed per 1000 kcal. No change in purchasing of red-, amber-, and green-categories at the numeric and traffic light labelling sites versus the control was observed, though the assumption of parallel trends across sites could not be satisfied. A significant three-way interaction between site, time, and socioeconomic status was observed for purchases of red-labelled items (β=0.11, 95% CI=0.02–0.21; p=0.01). There was a 0.57 oz equivalents/1000 kcal decrease in refined grains purchased at the traffic light labelling site (β=-1.07, 95% CI=-1.82– -0.31; p=0.005) and a 0.05 tsp/1000 kcal decrease in added sugars purchased at the numeric site (β=4.71, 95% CI=0.97–8.45; p=0.01) versus the control. No differences were observed for other nutrients and food groups. \n \nConclusions: This dissertation examines evidence from real-world settings to improve our understanding of how food and nutrition interventions can support healthy and sustainable eating patterns among post-secondary students. There is a paucity of interventions considering the complexity and interconnectivity of human and planetary health; such approaches are needed to address structural determinants that shape food systems and eating patterns. With respect to a specific nutrition intervention of high policy relevance in Canada, numeric and traffic light calorie labelling at the point-of-purchase has the potential to improve noticing and use of nutrition information, with greater proportions of patrons reporting that TLL were easy to use and understand. Given the lack of parallel trends needed to satisfy the assumptions for quasi-experimental trials, the impact of the labels on purchasing by calories, food groups, and nutrients requires further investigation using group-level sales data. Future research should consider a ‘whole-of-systems’ approach to identify and evaluate complementary strategies that holistically consider impacts on both human and planetary health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0050.003
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.285
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)Same topicConsumer Attitudes and Food LabelingFrench-language works237,207