Distance Learning in Children with and without ADHD: A Case-control Study during the COVID-19 Pandemic.


Journal

Journal of attention disorders
ISSN: 1557-1246
Titre abrégé: J Atten Disord
Pays: United States
ID NLM: 9615686

Informations de publication

Date de publication:
04 2022
Historique:
pubmed: 15 8 2021
medline: 24 2 2022
entrez: 14 8 2021
Statut: ppublish

Résumé

This research involved the parents of ADHD students to explore how their children coped with online distance learning during COVID-19 pandemic and what implications this schooling method had on their emotional and behavioral well-being. Data were collected during lockdown using an online questionnaire addressed to 100 mothers and were compared with 184 matched controls from a national survey launched in the same period. Attention span, spontaneous commitment, and autonomy in distance learning was found to be more limited in ADHD group. Compared to controls, 21.7% of ADHD students were not assessed and 40.9% did not receive grades. Behavioral changes were reported in both groups (64.2%), represented mainly by restlessness, aggressiveness, and anxiety. Distance education increases academic difficulties, especially in ADHD pupils. The effects of lockdown should be adequately evaluated upon school reopening and appropriate recovery interventions should be planned.

Identifiants

pubmed: 34388941
doi: 10.1177/10870547211027640
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

902-914

Auteurs

Valeria Tessarollo (V)

Università degli Studi di Milano, Milan, Italy.

Francesca Scarpellini (F)

Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Ilaria Costantino (I)

Università degli Studi di Milano, Milan, Italy.

Massimo Cartabia (M)

Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Maria Paola Canevini (MP)

Università degli Studi di Milano, Milan, Italy.

Maurizio Bonati (M)

Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

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Classifications MeSH