Editorial: International Day of Happiness 2023: caring for ourselves so that we may care for others
Notice bibliographique
Résumé
The 2023 International Day of Happiness was earmarked by the United Nations (UN) with a special theme -Be Mindful, Grateful and Kind. This theme is unique for several reasons. Most importantly, it echoes the interconnectedness of everyone's health and underscores the importance of everyone to support the call to foster collective wellbeing-happiness, knowing that an individual's health is the health of others and vice versa [Curry, 2021]. In no time is caring for ourselves and others more pressing than now, especially as the world emerges from the pandemic, and grapples with the global ramifications of diverse health emergencies from conflicts, disasters, and climate change among others [Burkle, 2019;Wilder-Smith & Osman, 2020].The significance of happiness to our collective wellbeing and mental health, characterised by a state of positive emotions, contentment, prosperity, and meaningful living for everyone cannot be over-emphasised. However, this cannot be attained without universal support for regular use of caring for others and for one self (e.g., reducing unkindness, discrimination and bullying) to promote emotional well-being and happiness around the world [Medvedev & Landhuis, 2018;Olagunju, 2022]. Attaining a positive emotional state can help individuals, families and communities.In support of the spirit behind the 2023 UN International Day of Happiness, and recognizing the significance of collective wellbeing and happiness, this research topic was launched to publish a collection of new articles, highlighting trends across diversified settings on how caregivers are promoting personal well-being, and communication to help them provide optimal care to patients and their loved ones. In particular, the articles in this collection address the well-being of formal and informal caregivers, describing the beneficial effects of positive mental health activities or interventions (including mindfulness, self-care, resilience building, non-violent communication, storytelling, and mental health advocacy) across international settings and populations.Redublo et al. present findings from participatory action research using a novel online workshop series to explore the personal recovery journeys of family caregivers of a sample of individuals with mental illness in the province of Ontario, Canada. Seven recovery-oriented topics, (including self-care, resilience building, non-violent communication, storytelling, and mental health advocacy) were identified as important for the personal recovery of family caregivers and their ability to provide optimal care for their loved ones. Among a sample of nurses in three provinces in China, Li et al. reported the potential benefits of higher educationalprofessional attainment, perceived social support, mindfulness and self-care to confer a higher level of resilience on nursing staff. Through a qualitative interview of caregivers and hospice staff in Scotland and England during the COVID-19 pandemic, Bailey et al. shed more light on the decision-making behind the place of end-of-life care and the impact it had on the experiences of end-of-life care during the global pandemic. In a study conducted among Health Care Providers' in the Indian State of Kerala, Joseph et al. highlighted the importance of informational management to the continuity of care of patients and identified better knowledge, skills, professional role, identity, beliefs about capabilities, intentions, goals and optimism as crucial enablers for continuity of care. Lastly, Dysart and Harden highlighted the important role of workplace wellness intervention that involves physical activity, mindfulness, and self-care to better performance and personal improvement among extension workers and leaders in the Commonwealth of Virginia in the United States.In sum, the articles published in this research topic highlight the crucial role of positive mental health, selfcare, and being kind to each other, mental health promoting attitudes and communication among friends, families and caregivers is crucial. Promoting kindness is critical for happiness for all.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,010 | 0,007 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,012 | 0,019 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,040 | 0,028 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».