Experiences of Albertan Families with Young Children during the COVID-19 Pandemic: Descriptive Report
Notice bibliographique
Résumé
This report describes data collected from Albertan families on the COVID-19 Impact Survey implemented in May 2020, which built on a unique collaboration across two longitudinal cohorts in Alberta: The All Our Families study (AOF) and the Alberta Pregnancy Outcomes and Nutrition study (APrON). Our objectives were as follows: (1) Describe household infections of COVID-19 in Alberta among families with school-aged children; (2) Describe urban Albertan family experiences of the pandemic within the first 3-4 months of the outbreak across the areas of financial impact, maternal mental health and well-being, school and daily life, and relationships in the home; and (3) Describe associations among key predictor variables (e.g., financial impact) and outcomes (e.g., maternal anxiety, concern for child’s well-being). Study Sample: AOF and APrON Cohort participants reflect families parenting at least one child in between the ages of 8 and 12. While the respondents represent a broad range of income, education and ethnicity, they are typified by adequate income, food and housing security and partnered marital status. Highlighted Results: Physical Impact: At the time of data collection in May, 2020, over 90% of families did not have personal experience with COVID-19, either through personal infection, infection of a child, extended family member or close friend. Vaccine Intentions: Although over 60% of mothers and their children would obtain a COVID-19 vaccine when available, almost 30% are undecided and 8% would not obtain a vaccine. Financial Impact: In 58% of all families, at least one parent experienced job loss, loss of main income source, or reduced employment hours. One in five mothers reported difficulty meeting financial needs for the household, and 5% of families were experiencing food insecurity. Over 40% of respondents reported at least some impact on their ability to meet financial obligations. Mental Health and Wellness Impact: Mothers reported elevated levels of stress (21%), anxiety (25%) and depression (35%). Approximately 26% of mothers reported having limited coping skills. Almost 90% of mothers have undertaken more domestic tasks in the home. Mothers also reported that their children showed increased sadness and behavioural challenges. The COVID-19 pandemic has had profound financial and mental health impact on some families. Investment in strategies to alleviate financial stress, provide parenting supports, and alleviate mental health concerns is critical. Suggested Citation: McDonald S, Edwards S, Hetherington E, Racine N, Mueller M, McArthur BA, Madigan S, Dewey D, Geisbrecht G, Letourneau N, Tough S. Experiences of Albertan Families with Young Children during the COVID-19 Pandemic: A Descriptive Report. Calgary, Alberta: University of Calgary; 2020.
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Comment cette classification a été obtenuedéplier
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».