Restrictive and permissive alcohol policies during the COVID-19 pandemic and their association with alcohol consumption in the United States
Notice bibliographique
Résumé
• Analysis integrates BRFSS survey data with data on alcohol policy measures to disentangle the distinct effects of restrictive and permissive policies on alcohol consumption in 2020 and 2021. • Cross-sectional results support a polarization of alcohol consumption patterns during COVID-19, with varied effects across demographic groups and drinking behaviors. • Restrictive alcohol policies linked to lower overall drinking prevalence, especially among younger adults, but increased daily consumption and heavy episodic drinking (HED) among drinkers. • Permissive alcohol policies linked to higher drinking rates among people with high education. • Women reported a higher relative increase in the frequency of HED compared to men when experiencing additional psychological distress, highlighting possible gendered impacts of the pandemic. Early in the COVID-19 pandemic, alcohol researchers anticipated that psychological distress and changes in alcohol availability would impact alcohol consumption patterns. While psychological distress was expected to increase alcohol use, particularly among vulnerable groups, restrictive alcohol policies might have led to reduced consumption. This study examined the complex relationship between psychological distress, alcohol policies, alcohol consumption, and their interactions with sociodemographic factors during the COVID-19 pandemic in the US. We used 2020–21 US Behavioral Risk Factor Surveillance System Survey (BRFSS, N = 726,962 adults) data to analyze associations between psychological distress, alcohol policy scores, and alcohol consumption, considering age, sex, education, race and ethnicity, and COVID-19 government response as covariates in a zero-inflated multi-level regression. State-level monthly alcohol policy scores derived from Alcohol Policy Information System data reflect the restrictiveness and permissiveness of alcohol policies implemented during the COVID-19 pandemic. Psychological distress and exposure to restrictive policies increased the likelihood of abstaining from alcohol in the past month, although the observed effects were small. Among past-month drinkers, distress and restrictive policies were associated with slightly higher average daily consumption in pure alcohol grams/day. Younger respondents were more likely to abstain from alcohol when exposed to restrictive policies, while permissive policies correlated with higher drinking prevalence and heavy episodic drinking occurrence among those with higher education. Alcohol policies and psychological distress during the COVID-19 pandemic were linked to both lower and higher alcohol consumption in different population subgroups. Restrictive and permissive policies had diverging associations with consumption patterns across subgroups. While effect sizes were modest, they could translate into meaningful changes in alcohol consumption at the population level, especially during prolonged times of crisis.
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 | 0,002 | 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 | 0,001 | 0,001 |
| 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 ».