There have been a number of Systematic Reviews of specific interventions. There is also an abundance of secondary data available across the EU and beyond containing rich information on aspects relating to healthiness of diets. These include national-level multipurpose household datasets as well as smaller sets of data purposively collected to analyse nutritional interventions. In many cases, these datasets have been insufficiently exploited in nutrition policy evaluation.
This involves:
- Using these datasets in creative ways to provide added value through fresh evaluation of interventions and synergies across interventions. The data will be analysed using econometric and structural equation modelling within the framework described in the conceptual model drawn from the economics and psychology literature.
- Illustrating state-of-the-art methodologies for healthy eating intervention evaluation and methodological lessons learnt from these applications.
- Updating conclusions from the previous step about what interventions work and what ones don’t. The intervention impact evaluations will cover:
- impacts on attitudes,
- impacts on consumption,
- impacts on obesity and health outcomes, and
- cost-effectiveness and cross-intervention comparison via cost-utility analysis.