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Enregistrement W4385196947 · doi:10.3389/fspor.2023.1256235

Editorial: Sport and psychosocial health/well-being after the COVID-19 lockdown - Volume II

2023· editorial· en· W4385196947 sur OpenAlexaboutno aff
Amy Chan Hyung Kim, James Du, Rochelle Eime

Notice bibliographique

RevueFrontiers in Sports and Active Living · 2023
Typeeditorial
Langueen
DomaineMedicine
ThématiquePhysical Activity and Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCoronavirus disease 2019 (COVID-19)Psychosocial2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Volume (thermodynamics)Front (military)PsychologyPolitical scienceMedicineGeographyVirologyPsychiatryMeteorologyPhysics

Résumé

récupéré en direct d'OpenAlex

Similarly, but by using a nonexperimental design, Hu and colleagues (2023) examined the relationship between home-based High-Intensity Interval Training (HIIT) dance and depression during the COVID-19 pandemic in China while examining the moderating effects of personal perception including perceived susceptibility, severity, benefits, and self-efficacy among quarantined residents in China. The findings showed that more often the quarantined residents participated in home-based HIIT dance, the less likely they were to suffer from depression during the lockdown. While perceived susceptivity did not play a significant role as a moderator on this preventive relationship between HIIT dance frequency and depression, higher perceived severity and perceived benefits tended to strengthen the association. Moreover, if the quarantine residents had a clear sense that they could effectively participate in home-based HIIT dance, it inclined to prevent their experience of depression more greatly.Jungwirth and colleagues (2022) examined the impact of the COVID-19 crisis on individual physical activity patterns and life satisfaction among recreational golfers. The participants recruited from German speaking countries reported that, in indoor settings, the frequency of fitness center use was decreased by 42.12% while the frequency of home training was increased by 14.18% (independent training) and 23.48% (with online instructions). Notably, life satisfaction had decreased significantly after the COVID-19 pandemic among the respondents compared to before the COVID-19 pandemic.The remaining three articles explored the different patterns or situational factors of physical activity behavior during the COVID-19 pandemic. Kim et al. (2023) examined how the degree of conflict (i.e., conflict due to prejudice, conflict due to competition, conflict due to prior expectations, conflict due to not observing etiquette) and coping strategies (i.e., avoidance behavior, resolution behavior) varies depending on spatial proximity that occurs in indoor and outdoor settings. The results from 508 Korean adults disclosed that conflict due to prejudice was higher in indoor sport activities such as Pilates, yoga, and gym workouts. Conflicts due to competition were relatively low in these activities though in that these activities were only available via reservation or appointments in order to limit the number of people within a certain size of indoor spaces during the pandemic in South Korea. The results also indicated that indoor golf showed higher level of conflict from competition and conflict due to not observing etiquette in indoor golf settings compared to outdoor golf settings. Outdoor activities such as jogging and hiking showed higher conflicts due to prior expectations and prejudice. The results implied that, during the time under nonpharmaceutical restrictions, physical activity participants may feel different conflicts and adopt coping strategies depending on the type of activities and environmental contexts. The policymakers and leisure service providers need to consider different conflicts and coping strategies among leisure participants when they run different programs under various restrictions that may resulted from major events such as the COVID-19 pandemic. Kovacevic et al. (2022) investigated the changes in adolescents' physical activity behaviors and cognitions associated with COVID-19 using the Multi-Process Action Control (M-PAC) framework. The findings from a total of 588 grade 11 students in Ontario, Canada presented that participants were 67% less likely to participate in organized physical activities during the pandemic compared to before the pandemic. When it comes to physical activity cognitions, physical activity intention, identity, and habit significantly decreased over time while behavioral regulation was increased. Considering that many restrictions result in disruptions to typical behaviors, adolescents had to implement new skills and plans to be physically active. The findings implied the need of more support on helping adolescents regulate their behaviors through various skills such as self-monitoring, goal setting, and coping strategies.In the end, volume II extended knowledge in how physical activity, exercise, and sport play roles in one's mental health during the COVID-19 pandemic as well as how one's active lifestyle has been affected by the recent pandemic. In summary the pandemic impacted individuals' sport and physical activity behaviors which in turn negatively impacted a range of health outcomes. The crucial message from this issue is that one's active lifestyle should be promoted effectively to cope one's mental health issues that can be resulted from the COVID-19 pandemic. Also, as the pandemic restrictions are lifted and we have the opportunity to return to playing sport and being physically active, the impact of the pandemic and associated restrictions are likely to continue to impact our sport and physical activity behaviors. This in turn will impact individuals' health and wellbeing and the long-term effects of the COVID-19 on one's active lifestyle should continue to be examined.

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)0,005
score de la tête « metaresearch » (Gemma)0,017
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 enseignants0,030
Score d'incertitude au seuil0,099

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,017
Méta-épidémiologie (sens strict)0,0060,002
Méta-épidémiologie (sens large)0,0060,003
Bibliométrie0,0040,002
Études des sciences et des technologies0,0030,003
Communication savante0,0070,004
Science ouverte0,0060,001
Intégrité de la recherche0,0140,013
Charge utile insuffisante (le modèle a refusé de juger)0,0300,012

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 Opus0,008
Tête enseignante GPT0,294
Écart entre enseignants0,286 · 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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