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Record 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 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2023
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsProsocial behaviorMental healthLongitudinal studyPandemicHuman factors and ergonomicsPhysical health
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.158
GPT teacher head0.403
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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