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Published on: February 19, 2021
Application of acceptability in dietary optimisation models: a systematic review
C Baungaard1, M Aceves-Martins1, G W Horgan2
1Rowett Institute of Nutrition & Health, https://ror.org/016476m91University of Aberdeen, UK.
Public Health Nutrition
|May 22, 2026
Summary
Integrating diet acceptability into sustainable diet models is crucial. This review highlights varied definitions and methods, suggesting new pathways for citizen involvement in developing acceptable dietary plans.
Area of Science:
- Nutrition Science
- Computational Biology
- Sustainable Food Systems
Background:
- Sustainable diet design faces challenges in incorporating consumer preferences.
- Diet acceptability remains an under-integrated aspect in current diet optimisation models.
- This systematic review critically evaluates the literature on diet acceptability within optimisation studies.
Purpose of the Study:
- To systematically review and assess the literature on diet acceptability in diet optimisation studies.
- To identify how diet acceptability has been defined and operationalised in optimisation models.
- To explore opportunities for enhancing the integration of acceptability into future models.
Main Methods:
- Systematic literature search of Medline and EMBASE databases.
- Snowballing search strategy to identify all relevant studies.
- Inclusion criteria focused on diet optimisation studies incorporating acceptability for adult populations (2013-2025).
Main Results:
- 49 studies were included, revealing considerable variation in the definition of diet acceptability.
- Six themes defined acceptability, with "minimisation of deviation from observed diet" and "bounds on intake" being most common.
- Only 25% of studies assessed the impact of acceptability parameters on dietary outcomes, indicating a gap in evaluation.
Conclusions:
- Incorporating diet acceptability into optimisation models is essential for influencing dietary structure, nutrition, cost, and environmental impact.
- Acceptability integration presents trade-offs with other optimisation objectives.
- Further research is needed for real-world testing, contextualisation, and justification of acceptability model parameters.
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