A survey study on eating habits during the COVID-19 lockdowns in the UK
Notice bibliographique
Résumé
The current global coronavirus pandemic (COVID-19) has forced many countries to enforce national lockdowns and periods of self-isolation in an attempt to stem the virus from being transmitted between humans, aiming for fewer deaths from the highly-infectious disease. The United Kingdom has undergone three of these national lockdown periods, during which individuals will have found themselves spending extended periods of time in their own homes, ultimately sacrificing many freedoms and potentially even their health. Participants (n=365) of this study were recruited, using social media advertisements, to self-report changes in their eating habits from the beginning of the pandemic as a result of the lockdowns and periods of self-isolation. An anonymous online questionnaire, targeting the UK adult population was completed. The results identified several positive changes made by individuals but the pandemic had mostly a detrimental impact on the population’s eating habits. Over a quarter of participants reported that the pandemic had a positive effect on their diet overall; 23% reported an increase in homemade meals, 22% reported fewer takeaways consumed and 27% said they gave more nutritional consideration to their diet. Thirty-two percent reported an improvement in their own cooking ability and 16% felt they succumbed to emotional eating less often. Negative health trends appeared to be more abundant in this survey. Findings highlighted that more than a third of participants were consuming more takeaways while at home as well as more than half agreeing that it was easier to have a takeaway delivered. The study also found that 22% of participants were cooking fewer homemade meals than they did beforehand and almost a third struggled to get hold of the groceries they needed during this time. The study also found that 44% of people changed their spending habits when it came to buying groceries although there was no significant correlation between personal finances and eating habits. These findings suggest that eating habits have been affected greatly by the COVID-19 pandemic and the government-enforced lockdowns, and more often in a negative way. It may be that individuals were not aware of the effect the pandemic is having on their nutritional health and therefore more should be done from major bodies to ensure that awareness is raised and that the lockdowns have proven to be beneficial to some individual’s health and the reasons for this should be broadcast nationwide.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».