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Enregistrement W4387938950 · doi:10.3389/fpubh.2023.1264967

Editorial: Food, nature & wellness: dueling epistemologies

2023· editorial· en· W4387938950 sur OpenAlexaboutno aff
Debbie Humphries, Alder Keleman Saxena, Padma Venkatasubramanian

Notice bibliographique

RevueFrontiers in Public Health · 2023
Typeeditorial
Langueen
DomaineEnvironmental Science
ThématiqueAgriculture Sustainability and Environmental Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésExposomePublic healthMedicineGerontologyEnvironmental healthPolitical scienceEnvironmental ethicsNursing

Résumé

récupéré en direct d'OpenAlex

Who is responsible for the health of the food system? In today's globally interconnected world the wellbeing of land, labor, water and air are generally invisible to most consumers. Industrialized food systems negatively impact natural resources and human health, causing diet-related diseases, foodborne diseases, and long term, cumulative effects of pesticide residues.Producing and distributing food that sustains ecosystem fertility and nourishes consumer health requires attention to a breadth of issues, covering many disciplines and communities of practice. While interdisciplinary research in this area is increasing, addressing the full complexity of food system wellbeing requires prioritizing vital and robust life at every stage, and stressing the interconnectedness between the health of humans and that of the planet.In this Research Topic we bring together articles addressing different dimensions of food, nature and wellness, including knowledge frameworks,(1-4) limits of current methodologies in assessing these domains, (5,6) policy approaches to strengthening human and ecosystem wellness in the food system (7)(8)(9)(10) and the importance of connection with the natural world for human mental health. (11)(12)(13) Together these articles emphasize the importance of mindfulness and interdisciplinary research to advance science and knowledge at the food systems-ecology-human wellbeing nexus.Connectedness with nature (CWN) is an important construct for appreciating the intricate and complex inter-dependence of people and the planet. CWN is fundamental to discussions on Climate Change/ Planetary Health/ Sustainable Development Goals. Three articles in this collection discuss practices that promote mindfulness and pro-environmental activities.(11-13) Lengieza et al 's review indicates that self-awareness and mindfulness are associated with CWN, which is influenced by age, openness to experience, worldviews toward nature and self-transcendence. (11) Through a study of 300 individuals, Thiermann et al have shown that advanced meditators reported significantly more pro-environmental activities and lowest greenhouse gas emissions related to their non-animal protein diet when compared to non-meditators. The authors suggest that CWN is an innate human quality that gets affected by modern day pressures.( 14) Venkatasubramanian delineates a novel pedagogical approach in a University Wellness Program (UWP) that nudges students' behavior towards wellness and campus sustainability. Experiential learning of academic modules and evaluation systems are leveraged for students to design and implement projects that are relevant to campus.(13) These authors suggest CWN is an innate human quality that strengthens individual interest and attention to ecosystem and food system health.Four articles address frameworks for thinking about how and what we know, including conceptualizing responsibility in the food system,(2) integrating human and ecosystem considerations in addressing socioecological system health and resilience,(1) listening more deeply to cultural reasons for food avoidance to better inform nutritional interventions(4) and using the insights from different ways of knowing to strengthen community food security.(3) Timotijevic and colleagues utilized in depth interviews with individuals working in research, civil society, policy and industry on cutting edge approaches in the food system that may impact health and identified four overlapping conceptualizations of responsibility: accountability, impact, reflexivity and responsiveness.(2) de Garine-Wichatitsky and colleagues developed a participatory five step approach to framing and taking action to strengthen socio-ecological system resilience that includes human health, animal health, plant health and environmental health, and then piloted the framework and approach with an agroecological systems project in Vietnam.(1) Ramenzoni utilizes a mixed-methods approach to study food avoidances among the Coastal Endenese ethnic group, observing that certain types of foods are avoided out of concern for upsetting cosmological relationships, and urging a more community-based and collaborative approach to nutrition interventions.(4) In Spring et al.'s community-partnered research on food security in the Tsá Tué Biosphere Reserve (Northwest Territories, Canada), the authors examined the interaction between traditional food systems and climate change using a community capitals framework, underscoring the potential of traditional foodways to buffer risks.(3) Taken together these articles highlight the value of conceptual frameworks for addressing complex issues with greater cultural awareness and sensitivity and emphasize the need to include non-western frameworks.Two articles highlight methodological challenges in studying food, nature and wellness, whether in assessing population level perspectives on animal welfare (5) or in exploring the role of traditional foods in food security and nutritional status.( 6) Hemsworth and colleagues explore current methodologies for generating representative perspectives of populations by comparing perspectives on animal welfare from a computer assisted telephone interview of >500 respondents and a probability internet panel of >500 respondents, identifying important differences in respondent attitudes and experiences across the two methods.(5) Keleman Saxena et al. explore methodological approaches for assessing connections between agrobiodiversity and food security, demonstrating that standard dietary intake methodologies may underestimate impacts and importance of traditional foods.( 6) Both studies draw attention to the importance of careful conceptualization of conclusions to assure they are fully supported by the data, and the need for innovative methods and analytical approaches to better capture complex systems.Another key theme in these papers is the importance of public policy (and public funding) for food system sustainability. Based on data from Brazil, Valencia et al. argue that integrating sustainability into public food procurement systems can help to support other sustainable development goals, including poverty reduction, zero hunger, and gender equity. (8) Examining the potential for the uptake of a model similar to Brazil's, Roothaert et al. explore the feasibility of expanding Home-Grown School Feeding programs in Tanzania and conclude such expansion might address some systemic issues, but will not fully substitute for a larger policy framework and resource investment in school meals. (9) Systemic challenges are also the subject of Queenan et al.'s research, which identifies issues such as an unlevel playing field for importers and local producers, and a small number of large scale producers with a large market share, that inhibit the potential of the commercial broiler system in South Africa to contribute to the sustainable development goals. (10) Turning to the international scene, Canfield and colleagues document how the organization of the 2021 UN Food Systems Summit sidestepped existing forums for accountable multilateral food system governance, demonstrating the corporate capture of the international public system's governance of agriculture.( 7) Each of these articles highlights the potential of particular policies to enhance wellness.Both frameworks and methodologies offer the potential of clear research approaches that are consistent across research studies allowing for better comparison of results. They can also be applied to different contexts and disciplines which may highlight strengths and weaknesses. However, adopting specific knowledge frameworks /methodologies could lead to an overemphasis on the frameworks / methodologies than on empirical observations. This can lead researchers to disregard findings that do not fit their predetermined categories of analysis. Recommendations include being explicit about frameworks and methods, with clear definitions of constructs, moving beyond past biases by incorporating and adapting multiple frameworks and multidisciplinary methods wherever possible, and using mixed methods and participatory approaches with due consideration of local knowledge, that are better able to honor and characterize complex local systems. Key limitations include the absence of mechanisms to encourage adoption of specific frameworks and the emphasis on innovation in academic institutions that rewards individual researchers for developing their own frameworks, rather than using and testing the frameworks of others.The articles on policy and practices illuminate both the opportunities and limitations. There are opportunities for increased use of intersectoral and intersectional policy frameworks and processes. Mindfulness and CWN may provide ways to get beyond business as usual, as a tool for transformative individual, research and systems change. In addition, similar to the challenges with frameworks and methodologies, there are only limited levers to encourage and reward multidimensional approaches. Taken together, these articles break ground toward reconceptualizing food system health, and locating responsibility for food system outcomes --but they also highlight that much remains to be done to achieve holistic food system health for people and planet. To promote such multidimensional approaches will require flexibility and re-invention not only of research questions and methods, but also of the institutions and funding structures that bring such research into being.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,031
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,075

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,031
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0040,003
Bibliométrie0,0040,002
Études des sciences et des technologies0,0050,006
Communication savante0,0100,008
Science ouverte0,0040,003
Intégrité de la recherche0,0180,021
Charge utile insuffisante (le modèle a refusé de juger)0,0220,010

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,272
Écart entre enseignants0,258 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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