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Record W7019522629

Healthy Food Zones Around Schools: Evaluating Projected Impacts of a Restrictive Food Planning Policy on Junk Food Availability after 10 years: An Equity- focused Simulation Study

2021· dissertation· en· W7019522629 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)Public healthFood securityPublic policyPopulationFood systemsHealthy foodUnhealthy foodFood choice
DOInot available

Abstract

fetched live from OpenAlex

Healthy diets are important for public health and health equity, given that globally, dietary risks currently comprise the largest burden of morbidity and mortality (Afshin et al., 2019). In Canada, diet quality is the poorest among youth ages 14-18 (Garriguet, 2009), which is concerning given that youth quickly develop eating patterns that track throughout their lives (Lien et al., 2001). Similarly, our understanding of the relationship between the built environment and population health outcomes as situated within a social equity lens has grown. Both planning and public health organizations and researchers have recommended restrictive food planning policies that regulate unhealthy food outlets' distribution, density, and proximity around secondary schools (ASPQ, 2011; Einstoss et al., 2015; OPPI, 2011; Robitaille et al., 2016). Several municipalities and cities in Canada and the US have explored and implemented such restrictive urban planning policies in certain public areas, including around schools; however, these policies have not been evaluated, nor have the ethical implications been considered (ASPQ, 2011; Díez et al., 2019; Luan et al., 2016). \n \nThis cross-sectional, quantitative, ecological thesis examines how food environments are projected to change under different restrictive food planning policies over 10 years in the Region of Waterloo (Ontario, Canada) by buffer type, buffer distance and various markers of equity. This manuscript-based thesis uses popular demographic modelling projections and discusses the potential ethical implications of this policy on equity-deserving youth from a health equity perspective to answer the following three research questions: 1) How would high school students’ food environment accessibility be projected to change during the school day if restrictive food planning policies (restricting fast food and convenience stores from opening around schools) were implemented in the Region of Waterloo, Ontario?”, 2) “How does current food environment accessibility differ by the proportion of students at schools identifying as low-income, EAL and newcomer status in secondary schools in the Region of Waterloo, Ontario?”, and 3) “How would projected changes in food environment accessibility after 10 years of restrictive policy implementation differ by these social identity groups?” \nFindings suggest that Euclidean distance policies showed a larger decline in the number of unhealthy outlets at 10 years relative to their network distance counterparts and low- and medium- equity schools (those with high proportions of equity-deserving students across multiple marks of equity) currently have higher accessibility to unhealthy retailers compared to high-equity schools (those with low proportions of equity-deserving students) in the Region of Waterloo, Ontario. Even after 10 years of implementation, low- and medium- equity schools still have higher projected access to unhealthy food retailers relative to high-equity schools. \n \nThis research provides planners, public health practitioners, and policymakers with an understanding of how recommended policies may impact food environments around schools in different contexts to inform decision-making regarding food policy interventions and contributes to the ongoing conversation of social inequities across food systems and highlight ethical implications of restrictive food planning policies. Future public health research should evaluate the effectiveness of existing restrictive food policies and examine the impacts restrictive food planning policies may have across communities, especially equity-deserving communities, through an intersectional and equity lens.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.734

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.057
GPT teacher head0.350
Teacher spread0.293 · 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 designSimulation or modeling
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

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