Changes in individuals’ eating habits and mood, sleep quality, and lifestyle during COVID-19
Notice bibliographique
Résumé
<b>Objectives: </b>The COVID-19 outbreak was classified as a global epidemic after it emerged in the first quarter of 2020 and the virus spread rapidly after only three months. The quarantines implemented during the COVID-19 period, the deterioration of economic income, and the uncertain situation about the future have affected the changes in physical inactivity, mood changes, sleep quality, lifestyle, and eating habits. Our study aimed to investigate the changes in individuals’ mood, sleep quality, lifestyle, and eating habits during the COVID-19 pandemic period.<br /> <b>Patients and Methods: </b>COVID-19 phobia scale (C19P-S) and coronavirus anxiety scale (CAS) were used to assess the emotional state of individuals. Pittsburgh sleep quality index was used to assess sleep quality. The data required for the research were collected with an online questionnaire. The study was carried out on individuals over 18 years of age between November 2020 and January 2021. Changes in mood, sleep quality and lifestyle with eating habits of individuals during the COVID-19. The data obtained from the studies were analyzed with appropriate statistical methods using the SPSS 22.0 program.<br /> <b>Results:</b> A total of 6,609 individuals between the ages of 18-70 participated in the study, and 69.8% of the participants were female. Sleep quality and the mean score obtained from the C19P-S in female individuals (50.4±10.63) were found to be significantly higher than in male individuals (46.9±9.94) (p&lt;0.001). Sleep quality showed a positive and significant relationship with CAS and C19P-S, respectively (r=0.190, r=224) (p&lt;0.001). Before the COVID-19 period, the individuals consumed the highest rate of fruit (68.8%), tea, herbal teas (48.4%), vegetables (50.8%), and milk and yogurt (48.4%), while after the pandemic the highest rate of industrial packaged bakery products (41.0%), sugar or sweeteners (36.2%), processed meat products (34.7%), and sugar-sweetened soft drinks (30.3%) were consumed.<br /> <b>Conclusions: </b>The COVID-19 may cause changes in individuals’ mood, sleep quality, lifestyle, and eating habits. This is the first study to evaluate these factors together in the Turkish population. We believe that complications related to COVID-19 may have a negative impact on public health in the long term. In the future, we recommend that governments develop policies to improve public health regarding adequate and balanced nutrition, physical activity, and mood management.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».