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Enregistrement W4406627370 · doi:10.3389/fspor.2025.1547197

Editorial: Physical activity, sports and health: reflections and challenges based on sustainability

2025· editorial· en· W4406627370 sur OpenAlexaboutno aff
Francisco José Gondim Pitanga, Victor Keihan Rodrigues Matsudo, Dartagnan Pinto Guedes

Notice bibliographique

RevueFrontiers in Sports and Active Living · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiquePhysical Activity and Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSustainabilityPhysical activityEngineering ethicsPsychologyEngineeringMedicinePhysical medicine and rehabilitationBiology

Résumé

récupéré en direct d'OpenAlex

The benefits of physical activity for the health of individuals and populations have been considered for a long time. Initially, and until very recently, the emphasis was on the main positive results from the perspective of cardiovascular, metabolic and mental health (1,2), as well as in the prevention and treatment of cancer (3). Regarding the immune system, although since the 1980s, many researchers have been examining its relationship with physical activity, with the arrival of the Covid-19 pandemic research on this topic has increased significantly. (4). In this sense, it becomes very important to understand how physical activity can impact the prevention and treatment of both communicable and noncommunicable diseases, and how the sustainable development goals (SDGs) can impact this context.In this perspective, in 2015, all member countries of the United Nations (UN) (5) adopted and began to share the 17 SDGs: 1) No poverty; 2) Zero hunger; 3) Good health and wellbeing; 4) Quality education; 5) Gender equality; 6) Clean water and sanitation; 7) Affordable and clean energy; 8) Decent work and economic growth; 9) Industry, innovation and infrastructure; 10) Reduction inequalities; 11) Sustainable cities and communities; 12) Responsible consumption and production; 13) Climate action; 14) Life below water; 15) Life on land; 16) Peace, justice and strong institutions; 17) Partnerships for the goals.Although different experts are trying to identify SDGs that may be linked to physical activity (6,7), we have difficulty understanding the relevance of this unbridled search, especially from the perspective of effective contributions to increasing the practice of physical activity by the population and its respective health benefits. Thus, in the editorial, we intend to focus on commenting on the SDGs that are directly linked to the manuscripts that were published in this special issue. Thus, we will initially look at the third objective of the SDGs, "Good health and wellbeing," which points to two indicators that seem to be directly linked to physical activity, namely: by 2030, end the epidemics of AIDS, tuberculosis, malaria, and neglected tropical diseases, and combat hepatitis, waterborne diseases, and other communicable diseases; and reduce premature mortality from noncommunicable diseases by one third through prevention and treatment; and promote mental health and well-being. In both indicators, we can see that physical activity can play an important role in the prevention and treatment of both communicable and noncommunicable diseases.In this sense, the study by Xu et al. (2024) analyzed the complex relationship of factors that affect the level of participation in physical fitness activities in China, finding as main results that public financial support for mass sports and the provision of sports venues are the main conditions for improving the level of participation in physical fitness activities. The authors also highlight the importance of this participation in the prevention of both infectious and chronic-degenerative diseases.From another perspective, the study by Gomes et al. ( 2024) offers an overview of relevant research on the relationship between physical activity or exercise and oral diseases. In this work, the authors draw attention to the need for greater attention to dysfunctional habits that can contribute to premature tooth wear, as well as to oral inflammatory diseases that can have systemic implications and influence the practice of physical activity.Still regarding the third objective of SDGs, specifically the promotion of mental health, the manuscript by Jiménez-Maldonado et al. ( 2024) points out that physical activity performed through combined exercise (i.e., aerobic plus strength training) has a significant positive effect on general cognition and executive function, although the authors report that there are few studies on this topic in Latin American and Caribbean countries. The authors suggest the urgent need for research to identify the feasibility of physical exercise interventions to enhance cognitive abilities in older adults in these regions.Regarding the eighth objective of SDGs "Decent work and economic growth", although there is no direct association with physical activity, the manuscript by Okuyama et al. (2024) shows us that exercise-based physical activity is broadly and consistently associated with the lowest level of stress responses triggered by moderate/vigorous workrelated physical activity.Finally, regarding the eleventh objective of SDGs "Sustainable cities and communities", two aspects draw attention to the possibility of links with physical activity, including active commuting and the practice of physical activity in the local community itself. This would be possible with the construction of adequate spaces for physical activity in sustainable cities and communities.In this sense, the study by Barbosa et al. (2024) demonstrated that performing physical exercises in community facilities improved the quality of life and physical activity levels of older adults. The authors also observed that supervised training was particularly advantageous for improving functional capacity.On the other hand, studies indicate that we are experiencing a true pandemic of physical inactivity. Recent data from a global survey indicate that the prevalence of insufficient inactivity increased between 2000 and 2022 (8), a fact that generates inestimable losses for public health with costs that could be minimized if people and populations became more physically active. Current figures represent a great challenge for global societies in terms of proposing public policies that can increase the practice of physical activity at a global level. Specifically in Brazil, an interesting proposal was the use of Mobile Management of the Ecological Model (9) by the Agita São Paulo program, which led to a significant reduction of insufficiently active from 39% to 14% and increased levels of physical activity (regularly active from 44% to 62%) in the state of São Paulo (10). However, at the present time, it is clear that physical activity, as a human behavior, is going through difficult times and urgently needs to be consolidated as an accessible behavior for a greater number of people around the world. The same global survey data cited in the previous paragraph show us a bleak reality for achieving the goal of reducing global physical inactivity by at least 10%. Only two regions, Oceania and Sub-Saharan Africa, are on track to reach the 2030 target, while other regions and most countries will not reach this goal if current trends continue.We believe that public policies to promote physical activity should be based on more concrete procedures so that goals can be achieved. Thus, paraphrasing the Canadian thinker "Jordan Peterson" (11), one more reflection is necessary: initially, it would not be advisable to tidy up our house (physical activity) and then try to change the world (sustainability) through physical activity. This is the reflection and the challenge.

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)0,007
score de la tête « metaresearch » (Gemma)0,035
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 seuil0,056

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,035
Méta-épidémiologie (sens strict)0,0060,001
Méta-épidémiologie (sens large)0,0050,003
Bibliométrie0,0040,002
Études des sciences et des technologies0,0040,004
Communication savante0,0090,008
Science ouverte0,0060,002
Intégrité de la recherche0,0220,024
Charge utile insuffisante (le modèle a refusé de juger)0,0170,012

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 Opus0,025
Tête enseignante GPT0,348
Écart entre enseignants0,323 · 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

Citations2
Publié2025
Routes d'admission1
Résumé présentoui

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