SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2025
The Effectiveness of Partnerships With Commercial Actors to Improve Food Environments: A Systematic Review.
Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Effectiveness of Partnerships With Commercial Actors to Improve Food Environments: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Reviewing ecosystems of evidence: synthesising the evidence on the commercial determinants of health from a complex systems perspective.Systematic reviews · 2026Article
- Advances in the management of obesity: non-pharmacological strategies, herbal formulations, current pharmacotherapy, emerging drugs, and future perspectives.Frontiers in endocrinology · 2026Review
- A critical interrogation of the legitimacy of commercial actors in food policy partnerships.Health promotion international · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Partnerships with commercial actors have been proposed as a policy approach to create healthier food environments. We conducted a systematic review to assess their effectiveness for improving food environments and population health at state, national, or international levels. We searched in 14 databases and two websites for real-world evaluations published between 2010 and 2020. Study quality was appraised using a modified Newcastle-Ottawa Scale. Data were synthesized narratively by outcome (human, food environment, policy content, and implementation progress), considering their effect direction. Seventeen studies reporting on seven PPPs in four countries were included. Most studies (n = 14) involved food reformulation, especially salt reduction. Three focused on specific settings (the eating out-of-home sector, schools, and convenience stores). There was mixed evidence that partnerships make people buy fewer calories or more school meals (n = 3 studies) or reduce product sodium content (n = 6). Some positive effects were described in one uncontrolled study each for decreasing trans-fatty acid intake and for making healthier options more available in school cafeterias, but these studies had important limitations. Five document analyses highlighted shortcomings in the partnerships, including their limited scope, failure to add value to ongoing actions, varying participation levels, and lack of implementation, monitoring, and reporting. Alternative policy approaches should be considered. This systematic review is registered on PROSPERO as CRD42020170963.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.