Mothers’ perspectives of the barriers and facilitators to reducing young children’s screen time during COVID-19: A reddit content analysis
Notice bibliographique
Résumé
Screen time for children under 5 is associated with various health risks. Amidst the COVID-19 pandemic, screen use among young children increased significantly. Mothers were more likely than fathers to be the primary caregivers and disproportionally assumed the responsibility of monitoring their children's screen time. Several studies have examined children's screen use throughout the pandemic; however, few have addressed mothers' experiences. Therefore, the current study aimed to investigate mothers' perceptions regarding the barriers and facilitators faced when trying to reduce their child's pandemic screen time, as expressed on Reddit (a social media platform for anonymous discussion and information sharing). Two subreddit forums targeted toward mothers, "mommit" and "beyondthebump," with 646,000 and 554,000 users, respectively, were examined. Posts were collected using related search terms and screened for inclusion by three independent researchers. Inductive thematic content analysis was leveraged to identify themes. In total, 582 posts were reviewed from March 14th, 2020, to August 31st, 2022. Qualitative analysis yielded 5 themes; 6 barriers and 2 facilitators were derived from themes and/or subthemes, where applicable. Results suggest that mothers faced barriers when trying to reduce their child's screen time, including their competing work and in-home obligations, using screens to occupy their child during travel, child screen use with other caregivers, offering their child screen time while they needed rest, pandemic changes in routine, and using screens to encourage their child to engage in necessary behaviours. However, facilitating factors, including advice received from other mothers on how to reduce their child's screen time and the sharing of non-screen alternatives supported mothers in lowering their children's screen time. These results are important for future interventions, which may utilize the conclusions of this study to address what mothers perceive to be helping or hindering them, thus empowering mothers to successfully limit their children's screen time.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».