A Perfect Storm: Unintended Effects of Homeschooling on Parents’ Mental Health and Cannabis Use Behaviors During the Pandemic
Notice bibliographique
Résumé
The COVID-19 pandemic resulted in families self-isolating under incredible stress. Viral containment strategies included school closures with parents left to homeschool their children with few supports from the educational system. Recent data show that those with children at home were more likely to drink heavily during the pandemic (Rodriguez et al., in press). Gaps remain, however, in understanding whether these effects are due to the stresses of homeschooling and whether they extend to cannabis use. Seven-hundred-and-sixty Canadian romantic couples (total N=1520 participants; mean age = 57 years; 50% women) who were self-isolating together during the month of April 2020 were recruited through Qualtrics Panel Surveys. Measures were completed retrospectively in early July 2020; participants were asked to report on their feelings and behavior in April 2020 during lockdown. They completed the GAD-7 (Spitzer et al., 2006) and the PHQ-9 (Kronke et al., 2001) to assess anxiety and depression, brief versions of four subscales of the COVID-19 Stress Scales (Taylor et al., 2020) to assess stress around the pandemic, and the Life Orientation Test – Revised (Chiesi et al., 2013) to assess optimism. They completed a measure of role strain (Statistics Canada, 2015) and a measure of conflict with their partner (Murray et al., 2003). They also completed a validated measure of cannabis use frequency and quantity (Cuttler et al., 2017), as well as two validated items from the Brief Cannabis Motives Measures (Bartel et al., 2020) to assess cannabis use to cope with depression and anxiety, respectively. All measures were completed for a 30-day timeframe during the month of April. Participants also reported on whether they were homeschooling one or more children in Grade 1-12 during the month of April. Data was analyzed with a one-way (homeschooling group) Analysis of Covariance (ANCOVA) controlling for group differences in age; a Bonferroni-correction was applied to account for multiple tests. Compared to those who did not homeschool (n=1116), those who did homeschool (n=404) experienced significantly more depression (p=.001), more COVID-19-related stress around socioeconomic consequences (p<.001) and traumatic stress (p<.001), and less optimism (p=.002). And those who homeschooled experienced more role strain between their home and work responsibilities (p<.001) and more conflict both toward and from their partner (p’s<.001) than those who did not homeschool. Those who homeschooled also used cannabis significantly more frequently in the month of April than those who did not homeschool (p=.003). Compared to cannabis users who did not homeschool (n=122), cannabis users who did homeschool (n=61) reported more frequent cannabis use to cope with both depression and anxiety (p’s = .003). These findings suggest that unintended consequences of our societal viral containment strategies include more depression, pessimism, role strain, inter-parental conflict, and certain COVID-related stresses, and extend to more frequent cannabis use to cope with negative affect, among parents required to homeschool during the pandemic. These unintended mental health and substance misuse consequences for parents need to be considered when planning for an educational strategy in the fall and for any future waves of 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 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 | 0,005 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».