An examination of the relationship between perceptions that cigarette smoking increases the severity of COVID-19 and reduction in smoking during the COVID-19 pandemic: Findings from the 2021 ITC Korea Survey
Notice bibliographique
Résumé
INTRODUCTION: This study examined whether Korean adults who smoked cigarettes during the COVID-19 pandemic decreased their smoking because of COVID-19, with a focus on whether perceptions of susceptibility and severity of COVID-19 disease were associated with reduced smoking. METHODS: Data came from 1506 Korean adults (aged ≥19 years) who exclusively smoked cigarettes (weekly) and participated in the 2021 International Tobacco Control (ITC) Korea Survey. Weighted analyses assessed pandemic-related changes in smoking and whether reductions in smoking were related to: 1) perceived susceptibility to contracting COVID-19; 2) perceiving that smoking increases the severity of COVID-19 disease; and 3) general worry about getting a smoking-related disease. RESULTS: Korean adults were significantly more likely to have reduced their smoking because of COVID-19 (18.9%) than increased their smoking (6.3%) (p<0.001); 74.8% made no changes to their smoking. Reducing smoking was associated with being very worried about contracting COVID-19 (adjusted odds ratio, AOR=4.25; 95% CI: 1.65-10.99) and believing that smoking increases COVID-19 severity (AOR=2.34; 95% CI: 1.19-4.61). General worry about getting smoking-related diseases was not associated with smoking reduction (p=0.53). We also found an interaction between perceived severity and worry about getting COVID-19; those who were very worried about getting COVID-19 and perceive smoking as increasing its severity, were more likely to reduce smoking (p=0.049). CONCLUSIONS: In response to the COVID-19 pandemic, Korean adults who smoked were much more likely to reduce than increase their smoking, unlike in most countries where there was no net change. The higher smoking reduction rate in Korea may reflect successful and strong communication by the Korean government regarding the importance of reducing smoking during the pandemic, compared to the general future threat of health risks from smoking.
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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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».