Identifying Future Study Designs and Indicators for Somatic Health Associated with Diets of Cohorts Living in Eco-Regions: Findings from the INSUM Expert Workshop Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/nu16152528
Diets, but also overall food environments, comprise a variety of significant factors with direct and indirect impacts on human health. Eco-Regions are geographical areas with a territorial approach to rural development, utilizing organic food and farming practices, and principles and promoting sustainable communities and food systems. However, so far, little attention has been given to quantifying aspects of the health of citizens living in these sustainable transition territories. The project “Indicators for Assessment of Health Effects of Consumption of Sustainable, Organic School Meals in Eco-Regions” (INSUM) aims to identify and discuss research approaches and indicators that could be applied to effectively measure the somatic, mental, and social health dimensions of citizens in Eco-Regions, linked to the intake of organic foods in their diets. In this paper, we focus on the somatic (physical) health dimension. A two-day workshop was held to discuss suitable methodology with an interdisciplinary, international group of experts. The results showed the limitations of commonly used tools for measuring dietary intake (e.g., relying on the memory of participants), and nutritional biomarkers (e.g., variations in correlations with specific intakes) for research understanding dietary intake and the health effects of diets. To investigate the complexity of this issue, the most suitable approach seems to be the combination of traditional markers of physical and mental health alongside emerging indicators such as the microbiome, nutrigenomics, metabolomics, or inflammatory biomarkers. Using new, digital, non-invasive, and wearable technologies to monitor indicators could complement future research. We conclude that future studies should adopt systemic, multidisciplinary approaches by combining not only indicators of somatic and mental health and social wellbeing (MHSW) but also considering the potential benefits of organic diets for health as well as aspects of sustainability connected to food environments.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/nu16152528
- https://www.mdpi.com/2072-6643/16/15/2528/pdf?version=1722586661
- OA Status
- gold
- Cited By
- 1
- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401246272Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/nu16152528Digital Object Identifier
- Title
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Identifying Future Study Designs and Indicators for Somatic Health Associated with Diets of Cohorts Living in Eco-Regions: Findings from the INSUM Expert WorkshopWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-02Full publication date if available
- Authors
-
Dominika Średnicka-Tober, Rita Góralska-Walczak, Klaudia Kopczyńska, Renata Kazimierczak, Michał Oczkowski, Carola Strassner, Friederike Elsner, Lea Ellen Matthiessen, Thea Steenbuch Krabbe Bruun, Beatriz Philippi Rosane, Cesare Zanasi, Marja van Vliet, Lars Ove Dragsted, Sarah Husain, Camilla T. Damsgaard, Denis Lairon, Emmanuelle Kesse‐Guyot, Julia Baudry, C. Leclercq, Lilliana Stefanovic, Ailsa Welch, Susanne BügelList of authors in order
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https://doi.org/10.3390/nu16152528Publisher landing page
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https://www.mdpi.com/2072-6643/16/15/2528/pdf?version=1722586661Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2072-6643/16/15/2528/pdf?version=1722586661Direct OA link when available
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Somatic cell, Biology, Environmental health, Gerontology, Medicine, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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83Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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