Transforming food retail for better health: The Healthy Stores 2020 trial
Bibliographic record
Abstract
Abstract Background How food is promoted in food retail settings impacts population diet. Foods high in sugar, fat and/or salt are promoted by retailers to attract impulse purchases. To combat the high burden of chronic disease and associated conditions confronting society we examined the impact of restricted retail merchandising (promotion and visibility) of discretionary food and beverages on sales and business outcomes. Methods We conducted a pragmatic randomised controlled trial in partnership with a retail organisation operating stores in remote communities of Australia (the Arnhem Land Progress Aboriginal Corporation). Twenty consenting stores were allocated to the 12-week intervention (7-point Healthy Stores 2020 strategy) or to usual retail practice. Four intervention stores with retail competition implemented a modified 6-point strategy. Weekly sales data were used to assess intervention impact on free sugars (g) to energy (MJ) (primary outcome) derived from all purchased food and beverages. Impact on gross profit and sales of targeted food and beverages was also assessed. Managers of intervention stores were interviewed to determine their views on customer response and impact on retail practice. Results Free sugars were reduced by a relative 2.8% (95% CI -4.8, -0.7). There were significant reductions in free sugars from targeted beverages (-6.4%; -11.1, -1.5) and soft drinks (-12.5%; -18.1, -6.5). Gross profit was not impacted adversely. Managers mostly viewed the strategy favourably and of benefit to the community. Conclusions The public health and business relevant gains demonstrated by this novel trial have resulted in ALPA converting their stores to the Healthy Stores 2020 strategy and integrating the strategy in to their nutrition policy. Retail competition impedes complete implementation of the 7-point strategy. Tackling this will require collective agreement by retailers to implement the full strategy and/or government policy power. Key messages Restricting merchandising of unhealthy foods can achieve both public health relevant and business relevant gains. Working in partnership with retailers is critical to testing real-world interventions to impact population diet.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".