Asian Adolescent Experiences of Health-Related Stigma During the Covid-19 Pandemic
Notice bibliographique
Résumé
Background: The COVID-19 pandemic, which took place between March 2020 and May 2023, has significantly impacted people’s lives. Individuals with COVID-19, like other infectious diseases, are at risk for stigmatization related to their health status. As a group, Asian Canadians faced increased racism and discrimination during the pandemic in relation to prejudicial attitudes on spread and contagion of the disease. \n\nMethods: This study used Interpretive Descriptive methodology to explore the experiences of Asian Canadian adolescents who have had COVID-19 through one-on-one interviews virtually and in person. Prior to the interview, participants filled out informed consent forms and demographic forms to obtain background information. The interviews were conducted between February 2023 and August 2023. Afterwards, the data was analyzed into codes and themes. \n\nResults: The sample consisted of eleven Asian Canadian adolescents between the ages of 16 and 19-years old living in Ontario. Seven participants identified as female, three identified as male and one participant identified as non-binary. The participants reported facing stigmatization related to their positive COVID-19 status, their Asian identity, and their age. The findings were organized using the Health Stigma and Discrimination Framework (HSDF), which conceptualizes health-related stigma into drivers and facilitators, intersecting stigmas, manifestations, and outcomes. Drivers and facilitators included attitudes about people with COVID-19, Anti-Asian racism, the media and social media and time of infection. The intersecting stigmas were ageism and racism. Manifestations included negative reactions from others, anti-Asian experiences, and internalized stigma. Lastly, outcomes included the mental health consequences of racism and worsened academic performance. Challenges while isolating included difficulties keeping up with schoolwork and isolation. Positive mediators included peer and familial support and being able to access information about COVID-19\n\nConclusions: Asian Canadian adolescents faced complex experiences and challenges during the pandemic related to their intersecting identities including stigmatization due to their COVID-19 status, as well as racism due to their Asian background and ageism from older individuals. Understanding these experiences can better inform the services provided to this population and decrease the risks and effects of stigmatization.
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 | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,013 | 0,006 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,003 |
| 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 ».