MétaCan
Menu
← Retour à la cohorte
Enregistrement W7018969855

An Examination of Political Orientation as a Determinant of Vaccination Outcomes and Health Mitigation Behaviours During the COVID-19 Pandemic

2023· dissertation· en· W7018969855 sur OpenAlexaffabout

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2023
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueVaccine Coverage and Hesitancy
Établissements canadiensRegional Municipality of Waterloo
Organismes subventionnairesnon disponible
Mots-clésBiology and political orientationPoliticsPandemicPublic healthVaccinationOrientation (vector space)Survey data collectionCognition
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background: Vaccine hesitancy has been a longstanding challenge for public health. However, the COVID-19 pandemic brought a strong push to explore the issue with renewed vigor. Prior studies have identified social cognitive and demographic factors as determinants of vaccine hesitancy and mitigation behaviors more broadly. However, political factors seemed to be especially important during the COVID-19 pandemic. The literature examining political orientation as a predictor of COVID-19 vaccination and other mitigation behaviors focussed largely on the United States and the United Kingdom, with few studies exploring the issue within the Canadian context. This project utilized data from the Canadian COVID-19 Experiences Survey (CCES)—part of the Canadian COVID-19 Experiences Project (CCEP)—to assess the relationship between political orientation and COVID-19 mitigation outcomes in a national sample. \n \nSpecific Aims: The primary aim of this project was to test political orientation as a predictor of vaccination status and COVID-19 mitigation behaviour consistency, and to examine if this relationship differs by immunocompromised status (IC). The secondary aim was to examine the association between political orientation and reliance on a variety of information sources (e.g., social media, health professionals, family members). The third and final aim was to examine the association between political orientation and change in both vaccination status and mitigation behaviour frequency between Waves 1 and 2 of the survey. It was hypothesized that relatively more right leaning political orientation would be associated with lower likelihood of being vaccinated, lower consistency in mitigation behaviors, and more reliance on non-traditional information sources for information about COVID-19. \n \nMethods: Data from Wave 1 (September 28th, 2021, to October 21st, 2021) and Wave 2 (March 3rd to March 21st, 2022) of CCES was used in a secondary analysis. Wave 1 had a total sample size of 1958, with 983 (50.2%) fully vaccinated, 848 (43.3%) unvaccinated, and 127 (6.5%) with 1 dose and no intent to finish. Wave 2 had a total sample size of 1848, with 1010 (54.7 %) fully vaccinated, 825 (44.6 %) vaccine hesitant, and 13 (7.0%) non-hesitant single-dose. Logistic regression was used to assess the association between political orientation and vaccination status. Multivariate general linear modelling was used to examine the association between political orientation, mitigation behaviour consistency and information source reliance. Likewise, multivariate general linear modelling was also used in prospective analyses to examine the association between political orientation and change in vaccination status and mitigation behaviour consistency. Moderation by immunocompromised status—for vaccine uptake and mitigation behaviour consistency—and covariates (demographic factors, etc.) was also examined. \n \nResults: Relatively right-leaning political orientation was identified as a significant predictor of reduced odds of being vaccinated in Wave 1 (fully adjusted model: OR=.35; 95% CI = .30, .41) and Wave 2 (fully adjusted model: OR=.33; 95% CI = .29, .39). Moderation by immunocompromised status was observed to be significant in Wave 1 (IC OR=.58; 95% CI = .33, 1.02; non-IC OR=.31; 95% CI = .26, .36), but not in Wave 2. Relatively right-leaning political orientation was also significantly associated with decreased mitigation behaviour consistency in Wave 1 (fully adjusted model: masking F=3.988, p <.001, ηp2= .229; distancing F=3.494, p <.001, ηp2= .206; hand hygiene F=1.767, p <.001, ηp2= .116) and Wave 2. Moderation by immunocompromised status was significant for all three behaviours in Wave 1 for raw (masking F=5.463 (1, 1655), p =.0195; social distancing F=4.9329 (1, 1652), p =.0265; hand hygiene F=9.4275 (1, 1653), p =.0022) and partially adjusted models (only hand hygiene was significant in fully adjusted models). Stratifying by immunocompromised status revealed that effects were stronger for immunocompromised respondents than those who were not immunocompromised. In Wave 2, only masking was significantly moderated in unadjusted models, however the effect was stronger for non-immunocompromised respondents (Effect=.1065, p<.001) than for immunocompromised respondents (Effect=.0612, p=.0032). Reliance on all sources of information, except friends, was significantly predicted by relatively right-leaning political orientation in Wave 1. In Wave 2 only religion, print media, television, and other sources were significantly associated with relatively right-leaning political orientation. Lastly, prospective analyses indicated that relatively right-leaning political orientation was associated with significant decreases in masking, distancing, and hand hygiene between Waves 1 and 2 in raw and adjusted models (fully adjusted model: masking F=2.470, p <.001, ηp2= .221; distancing F=1.451, p =.005, ηp2= .143; hand hygiene F=1.280, p =.045, ηp2= .128). However, change in vaccination was not significantly predicted by political orientation, across any model. \n \nConclusion: Relatively right-leaning political orientation was observed to be a significant predictor of numerous COVID-19 related health and behavioural outcomes. Relatively greater right-wing orientation was associated with significantly reduced odds of being vaccinated, and reduced consistency of masking, social distancing, and hand hygiene. Immunocompromised status moderated these associations, in both expected and unexpected ways. The findings of this study were largely in line with existing literature, but provide important insight into the Canadian context, and may serve as a tool to guide future decision making for public health stakeholders.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,365
Score d'incertitude au seuil0,725

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,030
Tête enseignante GPT0,329
Écart entre enseignants0,299 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueUWSpace (University of Waterloo)→Même sujetVaccine Coverage and Hesitancy→Travaux en français237 207→