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Record W3092441744 · doi:10.1016/s2542-5196(20)30202-3

Effect of restricted retail merchandising of discretionary food and beverages on population diet: a pragmatic randomised controlled trial

2020· article· en· W3092441744 on OpenAlexafffund
Julie Brimblecombe, Emma McMahon, Megan Ferguson, Khia De Silva, Anna Peeters, Edward W. Miles, Thomas P. Wycherley, Leia Minaker, Luke Greenacre, Anthony Gunther, Emma Chappell, Mark D. Chatfield, Catherine L. Mah

Bibliographic record

VenueThe Lancet Planetary Health · 2020
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsDalhousie UniversityPublic Health OntarioUniversity of TorontoUniversity of Waterloo
FundersMedical Research CouncilNational Health and Medical Research CouncilCanada Research ChairsDeakin UniversityMenzies School of Health Research
KeywordsMedicineRandomized controlled trialPopulationPromotion (chess)General partnershipEnvironmental healthMarketingAdvertisingBusinessFinanceSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The effectiveness of healthy food promotion on food and beverage sales in real-world food retail settings has been shown in randomised trials. The effectiveness of restrictions on the promotion of unhealthy food is, however, less clear. We aimed to assess the effect of restricted unhealthy food promotion, specifically those items contributing most to free sugar sales, on food and beverage sales. METHODS: In this community-level pragmatic, partially randomised, parallel group trial, stores were randomly assigned by a statistician using a single sequence of random assignments to the intervention group, in which a co-designed strategy restricted merchandising of unhealthy food, or to a control group of usual retail practice. The trial was done in partnership with an organisation operating 25 stores in remote Australia. The primary analysis was based on difference in weekly sales with the strategy compared with no strategy in free sugar from all foods and beverages (g/total MJ; primary outcome), targeted food or beverages (weight and free sugars; g/total MJ), and gross profit (AU$) using mixed models. This trial is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12618001588280. FINDINGS: Between June 13 and Aug 15, 2018, 20 stores were recruited; ten stores were randomly assigned to the intervention group and ten stores to the control group. The trial was done between Sept 2 and Dec 2, 2018. The Healthy Stores 2020 strategy resulted in a reduction in sales of free sugar of 2·8% (95% CI -4·9 to -0·7). Targeted beverages were reduced by 8·4% (-12·3 to -4·3) and associated free sugar by 6·8% (-10·9 to -2·6), sugar-sweetened soft drinks by 13·2% (-18·5 to -7·6), and associated free sugar by 13·4% (-18·7 to -7·7). Reductions in sales of free sugar from confectionery of 7·5% (-14·3 to -0·2) and in weight sold (-4·6%, -11·1 to 2·3) resulted; however, the reduction in weight was not statistically significant. No differences in sales of table sugar and sweet biscuits were observed. Gross profit was not impacted adversely; a small increase resulted (5·3%, 0·3 to 10·5). INTERPRETATION: Restricted merchandising of unhealthy foods and beverages, while allowing for complementary merchandising of healthier foods and beverages in a real-world store setting and co-designed with retailers, can achieve both public health and business relevant gains. FUNDING: Australian National Health and Medical Research Council.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.295
Teacher spread0.267 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations93
Published2020
Admission routes2
Has abstractyes

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