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Enregistrement W7023585764

Ontario Adults' Mental Health, Wellbeing, and Prosocial Behaviour During the First 16 Months of the COVID-19 Pandemic: A Longitudinal Study

2023· article· en· W7023585764 sur OpenAlexaboutno aff

Notice bibliographique

RevueScholarship@Western (Western University) · 2023
Typearticle
Langueen
DomainePsychology
ThématiqueCOVID-19 and Mental Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProsocial behaviorMental healthLongitudinal studyPandemicHuman factors and ergonomicsPhysical health
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The overall purpose of this dissertation was to provide a detailed assessment of the mental health, wellbeing, and prosocial behaviour of Ontario adults aged 30–59 (those at highest risk for losing years of healthy life due to chronic disease) during the first 16 months of the COVID-19 pandemic (April 2020–August 2021). To address this dissertation’s purpose specifically, four distinct yet thematically connected articles were written. Article 1 provides the starting point of this program of research via an overview of Ontario adults’ inter-related health behaviours (i.e., physical activity, sedentary behaviours, and dietary intake) and outcomes including, mental health, and wellbeing during the first few months of the COVID-19 pandemic (April–July 2020) along with differences between physical activity status and wellbeing, mental health, and dietary intake. Article 2 presents a cross-sectional overview of the same adults’ prosocialness—inclusive of kindness—during the identical timeframe as Article 1 and, given the disparate risks associated with living locales at the time, also explored whether prosocial behaviour differed among those living in urban versus rural settings. To assess the longer term patterns of mental health, wellbeing, and prosocial behaviour as the pandemic continued, the specific purposes of Articles 3 and 4 were to quantitatively assess participants’ mental health and wellbeing (Article 3) and their prosocial behaviour (inclusive of kindness), while also qualitatively exploring their lived experiences of prosocial behaviour (Article 4) over the first 16 months of the pandemic.\nThe findings from Article 1 indicated that during the first few months of the COVID-19 pandemic, in general, individuals’ (n = 2,156) mental health and wellbeing were poor. The average score for participants’ mental health was concerning and indicative of experiencing some mental health problems during this timeframe. With respect to wellbeing, participants’ scores were below the “normative” range for means in Western populations in several of the domains (i.e., satisfaction with their physical and mental health, respectively, as well as their satisfaction with feeling part of their communities and their future security). Further analysis revealed that participants who engaged in moderate-to-vigorous physical activity (MVPA) during the initial stages of the pandemic reported significantly higher levels of positive mental health and wellbeing, compared to those who did not engage in MVPA.\nThe results from Article 2 revealed that participants (N = 2,188) scored high on prosocial behaviour, as well as on the three kindness-related questions pertaining to their awareness of kindness around them, engagement in deliberate acts of kindness, and view of kindness as crucial to their pandemic experience, during the first few months of the COVID-19 pandemic. Interestingly, there was no statistically significant difference in participants’ prosocialness based on geographic location (urban vs. rural).\nThe findings from Article 3 identified that participants’ (N = 2,188) mental health significantly improved over the first 16 months of the pandemic, though their average scores at each time point indicated that they still may have been experiencing mental health problems throughout this timeframe. Statistically significant changes in participants’ wellbeing were noted on several domains. Specifically, participants’ satisfaction with their standard of living, physical health, mental health, personal relationships, and spirituality/religion significantly decreased over time, while their satisfaction with their safety, community connectedness, and future security significantly decreased during the first few months of the COVID-19 pandemic and increased thereafter.\nThe results from Article 4 revealed that participants’ (N = 2,188) prosocialness significantly increased over time, while their awareness of kindness around them, engagement in deliberate acts of kindness, and view of kindness as crucial to their pandemic experience significantly decreased. Additionally, participants described their experiences receiving, giving, and witnessing kindness, their perspectives on how prosocial behaviour shifted throughout the pandemic, their experiences of prosocial burnout, and they provided several examples of how they engaged in prosocial behaviours, and continued to do so, throughout the ongoing pandemic.\nBased on the findings presented in this dissertation, it can be concluded that during the early stages of the pandemic, Ontario adults’ mental health and wellbeing were, in general, poor, while they reported high levels of prosocialness. As the pandemic continued, findings revealed that participants’ mental health and prosocial behaviour improved, while their wellbeing declined in several domains. Participants’ improvement in mental health may be explained, in part, by their high levels of prosocialness. These findings are particularly important as prosocial behaviour might be an approach worthy of further investigation as a mental health and wellbeing support during and following the pandemic.

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)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,078
Score d'incertitude au seuil0,156

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0040,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,158
Tête enseignante GPT0,403
Écart entre enseignants0,245 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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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