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Health surveillance indicators for diet and physical activity: what is available in European data sets for policy evaluation?
BACKGROUND: Policies targeting diet and physical activity have the potential to improve health and well-being at a population level. However, the impact of these policies in Europe is currently unknown. Based on existing data, as well as on a needs assessment, we derived a catalogue of indicators th...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341672/ https://www.ncbi.nlm.nih.gov/pubmed/35578830 http://dx.doi.org/10.1093/eurpub/ckac043 |
Sumario: | BACKGROUND: Policies targeting diet and physical activity have the potential to improve health and well-being at a population level. However, the impact of these policies in Europe is currently unknown. Based on existing data, as well as on a needs assessment, we derived a catalogue of indicators that can be employed to evaluate such policies. These indicators may also inform the further development and harmonization of surveillance systems. METHODS: Forty EU experts agreed on a list of key indicators and ranked their priority for future surveillance. We mapped these indicators onto variables provided by ongoing European surveillance systems. Using a Likert scale (well matched, somewhat matched, poorly matched, unmatched), we assessed the suitability of these variables as measures for the indicators. RESULTS: Key indicators included behaviour outcome indicators relating to diet (n = 72) and physical activity and sedentary behaviour (n = 67) as well as upstream determinants of these behaviours. It was possible to map 72% of diet indicators and 86% of physical activity and sedentary behaviour indicators onto at least one variable in an ongoing surveillance system. CONCLUSIONS: Current monitoring and surveillance systems focus mainly on measuring ‘downstream’ indicators, while gaps exist in policy and environmental level data in dimensions such as inequality, funding and resources and governance. |
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